diff --git a/assets/jitr_logo.ipynb b/assets/jitr_logo.ipynb index 59988750..75c1ffc6 100644 --- a/assets/jitr_logo.ipynb +++ b/assets/jitr_logo.ipynb @@ -149,7 +149,7 @@ " eta\n", " * r\n", " * sc.spherical_jn(l, eta * r)\n", - " * sc.sph_harm_y(l,0, np.pi / 2 + theta, 0)\n", + " * sc.sph_harm_y(l, 0, np.pi / 2 + theta, 0)\n", " )\n", " ** 2\n", " )\n", diff --git a/docs/regression-tests.md b/docs/regression-tests.md new file mode 100644 index 00000000..e296f112 --- /dev/null +++ b/docs/regression-tests.md @@ -0,0 +1,47 @@ +# Regression tests + +End-to-end tests compare `jitr` against committed outputs from Frescox and +TALYS. Reference CSVs are committed; neither external code is required in CI. + +## Running + +```bash +uv run pytest tests/regression/ +``` + +## Frescox cases (F1–F8) + +Eight elastic-scattering cases against LLNL +[Frescox](https://github.com/LLNL/Frescox), all for p/n + `78Ni`: + +| Case | Projectile | E\_lab (MeV) | Source deck | +|------|-----------|-------------|-------------| +| F1 | p | 6.9 | `B1-example-el.out` (block 1) | +| F2 | p | 11.0 | `B1-example-el.out` (block 2) | +| F3 | p | 49.35 | `B1-example-el.out` (block 3) | +| F4 | p | 100 | `B1-high-el.in` (block 1) | +| F5 | p | 200 | `B1-high-el.in` (block 2) | +| F6 | n | 49.35 | `B1_n-high-el.in` (block 1) | +| F7 | n | 100 | `B1_n-high-el.in` (block 2) | +| F8 | n | 200 | `B1_n-high-el.in` (block 3) | + +## TALYS cases (T1–T4) + +Four JLM/JLMB elastic-scattering cases against TALYS 2.2 for `120Sn` at +10 MeV: + +| Case | Projectile | `jlmmode` | Notes | +|------|-----------|-----------|-------| +| T1 | n | 0 | standard JLMB normalization | +| T2 | n | 2 | stronger JLMB normalization | +| T3 | p | 0 | Coulomb code path | +| T4 | p | 2 | Coulomb + stronger normalization | + +```{toctree} +:maxdepth: 1 +:caption: Harness details + +../tests/regression/README +../tests/regression/frescox/README +../tests/regression/talys/README +``` diff --git a/docs/tests.md b/docs/tests.md index e6e7263a..acf993b4 100644 --- a/docs/tests.md +++ b/docs/tests.md @@ -1,5 +1,13 @@ # Tests +```{toctree} +:hidden: +:maxdepth: 1 +:titlesonly: + +regression-tests +``` + ## Set up the development environment Clone the repository and install the full development environment: @@ -41,6 +49,12 @@ The example notebooks are tested with `pytest` and `nbval`: uv run --group examples pytest --nbval-lax examples/notebooks/ ``` +## Run the regression tests + +End-to-end regression tests compare `jitr` against committed outputs from +Frescox and TALYS. See [Regression tests](regression-tests.md) for the full +layout, the landed cases, and regeneration instructions. + ## Browse the published examples The curated notebook subset that appears on the documentation site is diff --git a/examples/notebooks/example_jlm.ipynb b/examples/notebooks/example_jlm.ipynb index 4fa30465..6fbcb774 100644 --- a/examples/notebooks/example_jlm.ipynb +++ b/examples/notebooks/example_jlm.ipynb @@ -401,7 +401,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -413,12 +413,27 @@ "source": [ "fig, axes = plt.subplots(2, 1, sharex=True, figsize=(5, 4))\n", "handles_energy = []\n", + "folder_local = ILDAFolder(r_max=20.0, n_quad=200)\n", + "V_C_local = folder_local.V_coulomb(\n", + " folder_local.interp_to_quad(R, rho_p_d1m),\n", + " mode=\"density\",\n", + " include_exchange=True,\n", + " r_out=R,\n", + ")\n", "for E in [10, 30, 70, 120]:\n", " V, W = jlm.potential_JLM(R, rho_n_d1m + rho_p_d1m, (1, 0), target, E)\n", " (p,) = axes[0].plot(R, V, linewidth=2, label=f\"{E:1.0f} MeV\", alpha=0.6)\n", " axes[0].plot(R, W, \"--\", linewidth=2, color=p.get_color(), alpha=0.9)\n", " handles_energy.append(p)\n", - " V, W = jlm.potential_JLM(R, rho_n_d1m + rho_p_d1m, (1, 1), target, E)\n", + " V, W = jlm.potential_JLM(\n", + " R,\n", + " rho_n_d1m + rho_p_d1m,\n", + " (1, 1),\n", + " target,\n", + " E,\n", + " V_C=V_C_local,\n", + " parameterization=\"talys\",\n", + " )\n", " axes[1].plot(R, V, linewidth=2, color=p.get_color(), alpha=0.6)\n", " axes[1].plot(R, W, \"--\", linewidth=2, color=p.get_color(), alpha=0.9)\n", "\n", @@ -462,10 +477,10 @@ "source": [ "energies = np.linspace(10, 200, 200)\n", "Ju_A = np.zeros_like(energies, dtype=complex)\n", - "projectile = proton\n", + "projectile = neutron\n", "A = target[0]\n", "for i, E in enumerate(energies):\n", - " V, W = jlm.potential_JLM(R, rho_n_d1m + rho_p_d1m, (1, 0), target, E)\n", + " V, W = jlm.potential_JLM(R, rho_n_d1m + rho_p_d1m, projectile, target, E)\n", " Jv_A = 4 * np.pi / A * np.trapezoid(V * R**2, R)\n", " Jw_A = 4 * np.pi / A * np.trapezoid(W * R**2, R)\n", " Ju_A[i] = Jv_A + 1j * Jw_A" @@ -523,7 +538,7 @@ "source": [ "folder = ILDAFolder(r_max=20.0, n_quad=200) # once\n", "\n", - "# interpolate densities onto quadrature grid\n", + "# interpolate densities onto quadrature g\n", "rho_n_q = folder.interp_to_quad(R, rho_n_d1m)\n", "rho_p_q = folder.interp_to_quad(R, rho_p_d1m)" ] @@ -536,7 +551,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -548,12 +563,20 @@ "source": [ "energies = [10, 30, 70, 120]\n", "projectile = proton\n", + "V_C_q = folder.V_coulomb(rho_p_q, mode=\"density\", include_exchange=True)\n", + "V_C_R = folder.V_coulomb(rho_p_q, mode=\"density\", include_exchange=True, r_out=R)\n", "\n", "fig, axes = plt.subplots(len(energies), 2, sharex=True, figsize=(8, 6))\n", "axes = np.array(axes)\n", "for i, E in enumerate(energies):\n", " V_n_jlm, W_n_jlm = jlm.potential_JLM(\n", - " R, rho_n_d1m + rho_p_d1m, projectile, target, E\n", + " R,\n", + " rho_n_d1m + rho_p_d1m,\n", + " projectile,\n", + " target,\n", + " E,\n", + " V_C=V_C_R,\n", + " parameterization=\"talys\",\n", " )\n", " V_n_jlmb, W_n_jlmb = jlm.potential_JLMB(\n", " folder,\n", @@ -562,6 +585,8 @@ " projectile,\n", " target,\n", " E,\n", + " V_C=V_C_q,\n", + " parameterization=\"talys\",\n", " r_out=R,\n", " lambda_V=jlm.lambda_v0(E),\n", " lambda_V1=jlm.lambda_v1(E),\n", @@ -578,7 +603,7 @@ " axes[i, 1].plot(R, W_n_jlm, linewidth=3, alpha=0.7, color=\"tab:blue\", label=\"JLM\")\n", " axes[i, 1].plot(R, W_n_jlmb, \":\", linewidth=3, color=\"m\", alpha=0.7, label=\"JLMB\")\n", " axes[i, 1].set_ylabel(r\"$W(r,E)$ [MeV]\", fontsize=12)\n", - " axes[i, 1].set_ylim([-28, 2])\n", + " axes[i, 1].set_ylim([-28, 5])\n", "\n", "\n", "axes[0, 0].legend(loc=\"lower right\", framealpha=0, fontsize=12)\n", @@ -597,7 +622,7 @@ "outputs": [ { "data": { - "image/png": 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", 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7jddff52FCxfy888/43A4OHv2bLEJAsBjjz2G3W7n3Xff5fnnn6d169b88MMPzJw5s1xjdXd358knn+SXX35x9jbUqFEj/vvf/95wrIvS/O2U5N+obdu2DBw4kB9//JHY2Fjc3d1p27Yt69ato0uXLqX6XUKImkWlVMRTYEKIGuXDDz/kmWee4fTp04W6hBRCCCFE5SfPIAghytyff/6Jh4eH82FRIYQQQlQd0sRICFFmVq5cyebNm1m2bBmPPvooWq2cYoQQQoiqRpoYCSHKTP369cnOzuaee+7hgw8+uGb7cCGEEEJUXpIgCCGEEEIIIZzkGQQhhBBCCCGEkyQIQgghhBBCCCdJEIQQQgghhBBOkiAIIYQQQgghnCRBEEIIIYQQQjhJgiCEEEIIIYRwkgRBCCGEEEII4SQJghBCCCGEEMJJEgQhhBBCCCGEkyQIQgghhBBCCCdJEIQQQgghhBBOkiAIIYQQQgghnCRBEEIIIYQQQjhJgiCEEEIIIYRwkgRBCCGEEEII4SQJghBCCCGEEMJJ6+oAqgKHw0FcXBxeXl6oVCpXhyOEENekKArZ2dnUqlULtVrKgMqbXB+EEFVJSa8RkiCUQFxcHOHh4a4OQwghSuzChQvUqVPH1WFUe3J9EEJURTe6RkiCUAJeXl5AwcH09vZ2cTRCCHFtWVlZhIeHO89bFSUtLe2Wtvfx8UGj0ZRRNBVHrg9CiKqkpNcISRBK4HK1sbe3t1wAhBBVQkU3dwkMDLyl79ywYQP9+vUrw4gqhlwfhBBV0Y3O16VKEKpyCdF//vMf3n33XRISEmjbti0fffQRnTp1ckksQghRHQ0fPpw2bdqUapvc3Fzee++9copICCHEzShVglBVS4i++eYbnn32WRYuXEjnzp354IMPGDhwICdOnCA4OLjC4xFCiOpoxIgRjB07tlTbpKamMm/evHKKSAghxM0odROjqlhC9P777zNp0iQeeughABYuXMhPP/3E559/zosvvuiyuIQQorqYP38+HTt2LPV2np6ezJ8/n6ZNm5ZDVEIIIW5GqROEqlZCZLFY2Lt3L9OnT3fOU6vV9O/fn507dxa7jdlsxmw2O6ezsrLKPU4hROXicDjIM5tJz8wgKyubvJwczGYzVosFs8WK1WLFZrNis9qw2uzYbDZsNjt2mx27Q8GhKCiKguIABQVFKeheruAFXHp3FFoGXPrsoODz0Du70bp1W9cejBJ45plnSE9PL/V2BoOBZ555phwiEkIIcbNKlSBUxRKilJQU7HY7ISEhheaHhIRw/PjxYrd56623ePXVVysiPCFEOXMoDuIyUjl15ixJsQlkpmeTnWMiL9+GyeIg36bG5NBgUvRYVFosaDGrdFhUWhyqG40joLn0KkqtOAreUVChoFIoeEdBjXJpHcU5TwWFP19adlt8fJVIEABCQ0MZPHgw48aNY+jQoRgMBleHJIQQ4iaUKkGoKSVE06dP59lnn3VOX+4S6latX7+eQYMGXXP50qVLefDBB2/5e66Wk5PDu+++y65du9i9ezfp6eksXryYiRMnFru+2Wxm1qxZfPnll6Snp9OmTRvmzJnDHXfcccPvWrJkibMZ19atW+nRo0eh5YqiULduXS5evMiQIUNYu3ZtiX/HsGHD2LhxI4mJidfsmmvcuHGsWLGC+Ph4AgICSrxvUfVZ7TZOJcZy6OgxLsTEkp5qIsukJddhIEvlQbbG/dKaGsAXvcOGlyMfD8WMOxa81VaCtSb0GtBpVei1Kgw6DQaDDoNBh5vRgMGox2DQo9Vp0ev1l14G9AY9Rr0Bg9GA3mDEaHRDr9ej0epQqdVQgwbPGjlyJD/88AM//PADXl5e3HvvvYwbN45+/frJIGJ/k5idSlreldpplUqFCtWlz1z6XHj68jFUUbgHkuK3LVjz6umC9a5sc3n5pTXRqDVoL710Gi1atUb+3YSooUrdxKiqlRAFBgai0WhITEwsND8xMZHQ0NBitzEYDOXyuw4ePAjAhx9+iJ+fX5HlAwcOLPPvTElJ4bXXXqNu3bq0bduWzZs3X3f9iRMn8t133zFt2jQaN27MkiVLGDx4MJs2bSpyw38tRqORqKioIuv//vvvXLx48aaO7bhx4/jxxx/5/vvvi02i8vLyWLNmDYMGDZLkoJqz2m0cS4xh98FDnD8VS3o6pDt8SdZe/j8VSqAtmxAlm3raXPzc8gjwNhIS7E/tOmHUqVsXr4BA0Opc+juqo2XLlpGfn8/q1auJiopi2bJlLF26lJCQEMaMGcPYsWOJjIx0dZiVwpd7/seXe39ydRg3pFap0KoLkgWtRnPls1qNVq1Fp9Fi1Blwu/zSGgpPX3p5GTzwNnrgbfTEx+iJz6XPbjqDJCFCVEKlThCqWgmRXq8nMjKSX3/9leHDhwMFbYt//fVXpk6dWqGxREdH4+Pjw9SpUyvsWIWFhREfH09oaCh79uzhtttuu+a6u3fvZvny5bz77rv885//BODBBx+kVatWvPDCC+zYsaNE3zl48GBWrFjBhx9+iFZ75U8sKiqKyMhIUlJSSv07hg0bhpeXF1FRUcUmCGvWrCE3N5dx48aVet+icnMoDk4lX2DToX38dfAsmRkGEjVhmNQGNEpd6tnTaKXPIiLISpP64TRt2RyPsDC4zhDyovy4ubkxZswYxowZQ3p6Ot9++y1RUVF88MEHfPDBBzRu3Jjx48czduxYGjRo4OpwnSq6K+wHOg5hSIuCQhRFUVAuNTtTlEvPrFya5vK0olyedH7m8vMrzm2dWxXMu3r6b99BMfu0Kw5sdhs2hx2bw47VYcPuKDzP5rBjs9uwKw6sdhtWuw2TzUy+teCVZc4lMScVk9XinJdvNZFrMV35TVfRabQEuvsS7OVHkIcfwV7+zvdgT3/CfUMI8fJHfcPmfkKIslTqBKEqlhA9++yzTJgwgY4dO9KpUyc++OADcnNznc1hKsrBgwdp3759hSZSBoPhmjUlf/fdd9+h0Wh47LHHnPOMRiOPPPIIM2bM4MKFCyVqajVmzBi+//57NmzYwJ133gkUPCz+3Xff8fLLL/Phhx8W2SY2NpaZM2fy008/kZGRQaNGjXjuued4+OGHgYKbjnvvvZdly5aRlJRUpHvaqKgovLy8GDZsWIl+q6jc7A4H+2OP89OeHcQdTibXVodkrT9qpTFNSeYuzxQ6taxP8w5t0AeH3HiHwiX8/PyYPHkykydPJjY2lqioKL7++mtmzZrFK6+8QufOnUtc8FCeXNEVdoiXPyFe/uWy78rI7nCQY84j05RDpimHLFMuWaYcMvKzScnNICknnaScNM6cO0xyTjrZ5lzntgatjjo+IdT1C6OeXygNAmrTNDiChgF10GlkvFchysNN/c+qaiVE999/P8nJycyaNYuEhATatWvHzz//XOTB5fJksVg4ceIEPXr0KLYE3cfHB52ucJMHq9VKZmZmifbv7++P+hZLTPfv30+TJk2KjAZ6uRTtwIEDJUoQIiIi6Nq1K19//bUzQVi3bh2ZmZmMHj26SIKQmJhIly5dUKlUTJ06laCgINatW8cjjzxCVlYW06ZNAwqaGS1dupRvv/22UO1PWloa69evZ8yYMbi5ud3KIRAudir5At/s/ZWze89jtYSTqA3D6AigoyaJxxp5ENm9Ax7h9WpUu/7qonbt2jz//PMMGjSIWbNmsWbNGnbt2uXqsADpCrsiaNRqfNw88XHzLNH6eRYTSTlpnE9P4EJGAufSEzifkcCGk7uIzUwCQKvW0DAwnKZB9WgWEkH7Wk1pElwPrdo1A7IKUZ3ccupdVUqIpk6dWuFNiq529OhRrFYrCxcuZOHChUWWnzhxgiZNmhSat337dvr27Vui/Z89e5aIiIhbijE+Pp6wsLAi8y/Pi4uLK/G+xo4dy/Tp08nPz8fNzY1ly5bRu3dvatWqVWTdl156CbvdzqFDh5zPDzz++OOMGTOG2bNnM3nyZNzc3OjXrx9hYWFERUUV+rdcsWIFVqtVmhdVUVa7jY0nd/HdH5tRYrSkqptgUbWnoyqBh+ub6NK/K8bQon83ouo4f/6889pw+PBhFEWhW7duleL/bGm7wpZusCuGu95IhH8tIvyL/t/PteRzKvk8x5NiOJF0jhNJMaw7vh2r3YabzkDbWk1oX7sZXSNa0yq0ERppbigqkENxFDSxs1jINZswmU3YLVasVitWsxmr9VL32BYLNpsdm9WK3WbDZndgsztQHA7sigMcCorDUdBltuNyt9lXutBGceDp4c59I0eUy+8o07q5ylxC5GrR0dFAQU8/tWvXLrK8cePGRea1bduWDRs2lGj/JW1GdD35+fnFPkBsNBqdy0tq1KhRTJs2jbVr1zJo0CDWrl1bbNMiRVFYuXIlo0aNQlGUQrUrAwcOZPny5ezbt4/u3buj0WgYPXo08+fPJyYmxpkQRUVFERISwu23317KXyxcKdeSz7cHNvD99t8JTG9ArK4d3qp8hnukcdcdHQlqc5fUFFRhKSkpztrlnTt3oigKzZo147XXXmPcuHG3XKBRVkrbFbZ0g+16Hno32tVuSrvaV7pON9ssHE08y/6Lx9kfe4Kv9v7Egh0r8DZ60KVea7pHtKN3ww74uXtfZ8+ipsuzmEjNyyAxK4MLCUmkJiSTl5VLfq4Zc74Vi8WBxQoWmxqrosWmqLGhwYYWK1qsKm1Bd9kl6ib771Rcr+vs4oTbUrhvZCm/poTKLEGozCVElcHBgwfRarWMGTMGvV5fom38/Pzo379/OUd2hZubW6GSsctMJpNzeUkFBQXRv39/oqKiyMvLw263M3Jk0b/i5ORkMjIyWLRoEYsWLSp2X0lJSc7P48aNY/78+URFRTFjxgwuXrzI1q1befrpp9FopFq5KsizmPhq7/9YteN3wrKaYNb2A1UGz4Zm0HfY7ehDbj3ZFa6Rm5vL999/T1RUFL/++itWq5WwsDCmTZvGuHHj6NChg6tDvGVl1Q32b4di2fNXMmq1Co1ahVp15V2tVqFW4Zyn02owaNXotWr0Og0GrQadVo1Bq0Gvu/SuVaPXanDTa3HTazDqNTWq5Nyg1dO+dlPaX0oabA47RxL+YvvZg2w/e4DZ6z9GrVJxW92WDGjahX6NbpNkoQYyWS3EpMcRk5rA6dgEki8kkZOahylPjcluwIw7OWp38tXGS1sYL73AzWHBw2HGXbHgjgUPlR2D2opWbUGnBp0G9FoVOq0avU6NXqdFp9Wg0WrRaNUFvYBpNWi0GrRaLRqtFp1Oi1anK3jXFnQvrNFoUKs1qDVqNGoNqkvvarUatUaNWqNxzv970/SydEsJQlUpIaoMoqOjqV+/fomTAyio+k5LSyvRukFBQbd8gxwWFkZsbGyR+fHx8QDFNg+6nrFjxzJp0iQSEhK488478fX1LbKOw1EwmNT48eOZMGFCsftp06aN83NkZCTNmjXj66+/ZsaMGXz99dcoiiKJaBVgc9hZc3gzC7espk5KPVTq/ihk88+wTPrdNwSNj6+rQxS3KDg4GJPJhKenJ2PHjnX2cHerz0eVp9J2hV1W3WDnmKwkZubjuNRkwO5QCn9Wrny22hxYbHbMVgdWu6PE36HXqnHTazHqNbjpLicOBe/O+XotbrqC+e4GLUbd1UlG0XV1msr7b3k1rVpD21pNaFurCU92v4/U3Ax+PfUnG07+wZwNn/LGhs/oXr8d97TuS88G7eVh52ooy5TLofjT7Dl3mjNn48hPyMdqciNPFUCm2gtFpQNq4+awEGbPJExlwleXjZ97Hv7e7oQG+hEWGoRvgD8efj7ovH1AX7m79i9Lpf4fURNKiMpDdHQ0Xbp0KdU2O3bsqNBnENq1a8emTZvIysoq9KDy5WZi7dq1K9X+7rnnHiZPnswff/zBN998U+w6QUFBeHl5YbfbS1xbMm7cOGbOnEl0dDRRUVE0btz4ut23CteLjjvF6798iuOCBk9HXzJV8KhPMsPGD0UXEOTq8EQZ6d+/P+PGjWPYsGHOpomVnau6wh52WwTDboso9XYOpSBhMNvsWKyX3+1Y7A7MVjtmq518i518i+3Sq+CzyTnPjslqIyszH1Mxy4t2RFqYVq0qlDh4GAoSiysvHe76q6b1f19+Zb62ApONAA9fRrW7g1Ht7iA1N5ONJ3ex5vBm/rHmPQLcfRjashf3te1PHV/pFa2qysjPZue5Q2w7dZSYv5JQZ+ixEkq6xg9ogLvDTENHKu2NGUT4W6lXK5A6EbXxj6iHyttXmrT+TakThKpYQuRqCQkJJCUl0axZs1JtV9HPIIwcOZJ58+axaNEi5zgIZrOZxYsX07lz51JXo3t6erJgwQJiYmIYOnRosetoNBpGjBhBVFQUhw8fplWrVoWWJycnExRU+AbycoIwa9YsDhw4wOzZs0sVl6g42eY8PtgSxbq9u2lm6UqsKpiB6os8PKInvi1auDo8UcbWrFlTZJ7ZbGbfvn0kJSXRvXt3AgMDXRDZ9bmkK+xNa2HvtoKbErUKVJpL7ypQay4NiawClbpgTA+VCtRq1Co1Bo0Gg1YLmqte2kuvv8/TaMHz7/P0l951oNU4lykaDWZFjUlRkW9Xk6+oyLeDyeoolFzkW+zkm23kW+3kma3kmW3kmW2kZJnINRckJpfnXS/hMOg0+Ljr8XbT4eNhwMdNh7e7Hp+/vfw9jQR4GzHqyqYZaYCHD/e3H8D97QdwMvkc3x/axPeHNrH0z7X0a3wb4yMH075200o5tpO4QlEUTiSf49eTf7L12Ens8QoaRzjpmjAgjHBHGh00mbQNU2jauC5hLTqgDgyVRKCESp0gVMUSIle7PIJycnIyX331VZHlbdu2pXXr1kXml9UzCP/3f/9HRkaGsxeiH3/8kYsXLwLw1FNP4ePjA0Dnzp257777mD59OklJSTRq1IilS5cSExPDZ599dlPffa1mQ1ebO3cumzZtonPnzkyaNIkWLVqQlpbGvn372LhxY5FmVvXr16dbt27OmxFpXlQ5/XHuELPWLSAgNZgA+xAc9lzebmWh3b2PgjwvUiN8+OGHzJ4929ld84YNG+jXrx8pKSk0a9aMd955xznWiSu5pCtsN3fw9i0YtcxhvzRC2qXPdhs4CnopweG4tOzSZ4fjyjo2W8H71Z+vnme3lyokFVdaXPtevUCtLhh5XKsrSCZ0V7/rLiUnuitJh04HBi2KRotJoydPbSBXrSNPpSdfpSVP0ZKHlmxFQ7bDRoZNTVZ2DslpcNoKmVbItjhw/C278DTqCPI2EuhtJMDLSJCXkVA/d2r5e1Db3wNvN12pb+qbBNXjX/0m8kzPsaw9uoWv9v6Ph5bPpmVoQx7uNIx+jW+TQdoqmTOpsaw/voN1hw6iT/JEUeqTo26Hh2Kmgz2OLqEO2rZtjH/rXuDp5epwqyyVcmVIxptWFUqIbkVWVhY+Pj5kZmYWGSOgJN59911eeOGFay7/4osveOCBB24lxOuKiIjg3LlzxS77e9Mkk8nEzJkz+eqrr0hPT6dNmza8/vrrDBw48Ibfs2TJEh566CH+/PNPOnbseN14WrVqxdq1a53zkpKSeO211/jhhx9ISEggICCAli1bcv/99zNp0qQi+/jvf//LlClT6NSpk/SUVcmYbRbe/30ZK/ZuJtLSi/NKKMNU53nkoaEYa9dxdXjV3q2er8rK4sWLeeSRRxg9ejQDBgzg4YcfZuPGjfTr1w8o6OksIyODX375xWUxloXKcryLpSjXTh6KTSguTdtsYLde+nz1u/XK+lZr0XXs1kvzbX/b5kbb2YqE7gBy1EYy1G6kadxJ1XqRYvQjWe9Dis6LFI0nyRjJcFwp5/TQqqjlY6BWoBe1g3yICPaifog3tf3dS/zAtkNxsP3sQZb+uZY/LxyhSVBdHu82kn6NbpMaBRcyWS2sP7GD5Xs3kXYRfG0NyVAH4GPPp7cSS/cG/rTqfhvaBk0KElpxTSU9Z91yglBVSohuRaW+AAhRiZxPT+CfP35AZnw+vuae4FB4rqGdTmPvk1qDClJZzletWrWicePGfP/996SmphIUFFQoQXj77bf58MMPi+0YoSqpLMe7SlOUgmThcgJhzof8PDDlXfWeW/A5PxdycyA7A7IyyM/OJi7XQZxdT5zWhzitL3E6Hy7q/EnTuAOgVzmo66GmfpAHjeuF0rxhKA1CvG/4DMS+i8f47/bv+PPCEZoFRzC1x/30qN9OEoUKdDEjieX71/PDwT0EZtXDTENARWfzee6oo6dj327omraUZkOlUNJz1i09tr948WKmTZtWqITossDAQPr168fy5curfIIghLixjSd3MevnhTQzNSbX3I3a9lReurc9AW3buTo04QKnT5/m6aefvuZyf39/UlNTKzAiUWmpVKDTF7yMgJdPiTd1AxoCDW1WyM6EtGRITYLURDKTznE2JZezmVbOZus4kxrApjNZ2Db/hQE7jd1sNA/xpEXTurRp3QBPt8K9DHao05xP75/JngtH+e/2FUxd9TZd6rXmuT7jaRJUr0wPgSjsr5SLfLprNb8f/otwS0vcGIDBnsNI1WkG92qJb7dHwFjyrtdF6d1SgvDee+9x9913ExUVVeyJPjIystjBsYQQ1YeiKHy8cxULtq+kl9KXk+Za3KW+wONTRkgPRTWYr69voYEP/+7o0aNl0rmCEEDBMxB+gQWvhs0B8AHaXXphtUBiLJYL5zh9Np5j8Vkcy1LYlG1lRYwV9c+naKrNIzLMjQ5tGtCsbTM02oJbpI7hLfjs/ln8/tde3v99GaOWvsjw1n2Y0n0UQZ5+rvm91dSJpHN8vGMl24+fp561HV70J8icyGTvE/Qc3gtdq1FSW1BBbilBkBIiIWo2k9XC7PUL+fnon3S2D+Ws1YN/BCQyaPIjBRdsUWMNHjyYRYsW8eSTTxZZduTIET755BOpXRYVR6eHOvXR16lPi67g7EMtK4OEo0fZd/Qi++LzWH1ex1cXz+G+9hQd3fLo3iSITr1uw93fjz6NOtK9fjtWHNzIwh3fseHEH0ztcT+j2g2oUYPSlYeErBT+b9u3/HLoOBHWSHyVpoSYE/lnwClumzAUVd2Grg6xxrmlBEFKiISouVJyM5i2eh4x8cm0swwjw6bi3RYmmt/3kJTwCObMmUPnzp1p1aoVQ4cORaVSsXTpUj7//HNWrlxJWFgYs2bNcnWYoqbz9iW0SzcGd4HBgN1k4tTeaPYejmFHooq3DlnRRW8hUpNB7wa+dLujG2M7DOKuFj3499blzP1tCT8e2cLMAZNoHlLf1b+mysk25/H5rjV8vWcLtfLb4ecYSLA5ked8j9Fp/FBU9Zu6OsQa65YeUn744Yf57bffOHDgAHa7vdBDaEeOHKFz5848/PDDVb6ZkTyEJkRh59LjeXzFG2jzjXhmdUVns/Bm72Dq9Lvd1aHVeJXpfJWUlMSMGTNYtWoVGRkZAHh5eTFixAjmzp1LcHCwS+MrC5XpeIuyl3Aulu3bDrDtXDZH7V64OSz00KfTv3Ut2vTrwaGMOOZs+JTTKRcY3X4gU7qPwtPg7uqwKz1FUVh7dCvvb/oWt6z6KPYmBNpyeER7ht6jhqJq2sbVIVZbFdKLUVxcHJ07d0ZRFIYOHcqiRYsYP348drvdWUK0e/fuKt/tqVwAhLjiZPI5Hl/xJkH2UKzp7Qm1ZTFnRBv85WHkSqGynq+Sk5NxOBwEBQVVq4E1K+vxFmUv/mISv/62h43n84hX3Ai1ZTEk0MLt/SJZmxfDf7evwMvozsw7HqV3w0hXh1tpnU65wBsbPudEjIlgWydUDhhtPsLwQbdh6HGHdFNaziqsm1MpIRKi5oiOO8WTK+fSQN2A9NTWtLAlMWtCbzwaNnZ1aOISOV9VLDneNY+iKBw9epb/bTrI72kaQKEXifRrFcCXtuNsPn+IYS178XzfCXgbPVwdbqVhtllYsOM7lu3+nbqWruTYg+ibd5LJ7fzwu3sUGKXmpSJUWIJwNSkhEqL6+uPcIaatnkcrfUsSkpvR3pbAzEkD0IdHuDo0cRVXnq+GDRtWqvVVKpVzRPSqSq4PNVtmTj6/rP+DtcfSSFCMtLYm0DUkl09Me7F5uDN7wGP0aNDe1WG6XHTcKWauW0h2kj9uttYEWnN4yvAXHSeMhzry7EZFckmCUF3JBUDUdDtjonn6+3fp7N6Bs4kN6WiL56XHh6CvJSMjVzauPF+p1WqMRiOhoaGU5NKiUqk4c+ZMBURWfuT6IAAcisLOXUf5dstxjpuNRFhTaaX9ix+1x+kW2Y/n+jyAVw18NsFktbBgxwqidv1BXWt38uwejMg9xPjbW2LsfxeoZQDNilYhA6UJIaq/3eeP8Mzqd+nk0ZGzCQ3obI9j+pSh6EJquTo0UcnUrl2b2NhYAgMDGTt2LKNHj5ae7ESNoFap6N6lJd06t+Dw8fN8u34/a7M7EWxujmZLNJOP/4Opdz9Jt4i2rg61wkTHneLl/y3CnFiLAMdAapmTmBYQQ8Mpj0JA1W9+Xt2VugZBqpClhEjUHPsuHueJ796irUdbYuMb08UWy/Spd6MNDnN1aOIaXH2++v3334mKiuK7774jKyuL3r17M27cOEaOHImXl1eFx1PeXH28ReV19kIS3/ywg82pWgLt2TS17MfjttpMvusxPPTVdxRgk9XCf7Z9y4rd0YRYOqNyqHko/wB33dMXTafe0g22i5VbEyOpQpYLgKgZouNO8fh3b9LCvQVJcU1pb41n5pND0IZJs6LKrLKcr6xWK//73/+Iiopi7dq1OBwO7rzzTsaOHcvQoUMxGAwui60sVZbjLSqvcxeT+Wr1drak6wixZdLacYg+o4ZwW+serg6tzB2MO8nMtYuxJUVgV+rQNe8MTzZQCB7zEHhWvwKCqqjcEoTw8HBiY2Pp2LFjjalClguAqGlOJV/goeWv0MS9MelxzWlsTWHOI/3Q12vg6tDEDVTG81VOTg6rVq1i4cKF7Nq1i9mzZzNz5kxXh1UmKuPxFpXT2QvJfL5yC7uzjdSyptPV/QJjHpmIV1DVr5E1WS3837ZvWb3rND7W9vjYTUyxRdN93EhoLg9pVyYlPWeVuquhCxcusGnTJtq3b8/rr79OeHg4/fv3Z/HixWRnZ99S0EII10vKSWPqqrnUMoSTHdeMutZ0Zj/QU5IDcVPMZjPr169nzZo17N+/H6PRSEREhKvDEqLC1Q8P4vVpI/hofAd8PWCltQ3TPtrImv9+jCMny9Xh3bR9F48z4tM32LxNwdPSkTuzj/JJ81y6z5wpyUEVdku9GEkVshDVS64ln4eWv0pGtpnAjF54m7N55742eLdu5+rQRAlVhvOVw+Fgw4YNfP3116xevZq8vDz69+/P2LFjueeee/DwqD59w1eG4y2qpq37D/HF2t2cJ5QIawrjGunpOXIoKndPV4dWInkWE/N+W87mveno7I1pbEniKeNZmk54CMKlQKmyqvBuTqUKWYiqzWq38fT37xIde5Zm+YOw5puY3z+MgJ59XR2aKAVXnq927NhBVFQUK1asIDU1lS5dujB27FhGjRpFYGBghcZSUeT6IG6F3eHgvz99z949qcRra9PImsKEFp7cNnwwKmPlfZB5Z0w0r67+CU1WY/SKhok5e7hrUGc0fYdI16WVXIV2c+qqKuSYmBhef/11fvvtNxISEqhVqxbjx4/npZdeQq/XO9epX7/oIBw7d+6kS5cu5R6jEFWBoii8ufFzdp87SjfVPcSZFOa3N0hyIEqlR48euLm5MXjwYMaMGeO8Dpw/f57z588Xu02HDh0qMEIhKheNWs1TQ0dwtlssb327lOyEYGaeMtLsrW94sK0/He4aiEpfeVpjpOVl8dpPKzl5HBTa0DPvBI/VMeP/9D/Ar3oWAtRUN50gXKsK+ZNPPqmwKuTjx4/jcDj4+OOPadSoEYcPH2bSpEnk5uYyb968Qutu3LiRli1bOqcDAgLKPT4hqorPdq1mVfRvDDCO5Fi6hrfCU6h798OuDktUQfn5+axcuZJVq1Zddz1FUVCpVNjt9gqKTIjKq35AbRY+/iLfH9rEsp/Xk2FrzowjGppEf8Oo1oF0G3oHGr3OZfHZHHYWbl3PT9tjcdhr0dicyKOa7bQbfy+06uiyuET5KXWCUFwV8ptvvumSKuRBgwYxaNAg53SDBg04ceIECxYsKJIgBAQEVPveloS4GWuPbuWjbd8wyOtuDiS7McPzDK0felL6qhaltnjxYleHIESVpVapGdHmdvo2uo35v0eRuncDFlox56hC2OFVjGjoxh3D+mL0rtjuQn88uJ/Pf9lLfn4IIXYPJub/Tu/BvVH3nAAaaU5UXZU6QajsVciZmZn4+/sXmT9s2DBMJhNNmjThhRdeKPWAb0JUR7vPH+GVnxfSz+cODiR4M0l1kt5Tn5Q2pOKmTJgwwdUhCFHl+bt78/qdjxPd9hT/3hKF+6k9BCht+O+ZcD6fv5HevhYG3d6Bpi0boSqnghy7Q+H7vdF8u/kQmSY/gmyeTMjbyZCuTdENegXcq09HA6J4NzVQmnPjG/xhVnQV8unTp4mMjGTevHlMmjQJgJSUFL744gu6d++OWq1m5cqVvPPOO6xevfqaSYLZbMZsNjuns7KyCA8Pl4fQRLVyOuUCE79+heaG1lxMaMxQ+1888dyDqLz9XB2auAXy0GzFkuMtypOiKGw/e4B/b/2ajNhkutpbccZeh2SNJxGqXPrW96Jb70jCawfdcrKgKAoxSdl8s2M/fxxNId9hpL4lheGmI9zevRW6O+4BDxnsrKort16Mli5dWupgSluq9OKLL/L2229fd51jx47RrFkz53RsbCy9e/emT58+fPrpp9fd9sEHH+Ts2bNs3bq12OWzZ8/m1VdfLTJfLgCiukjOSeeBZTPxVoIwJbeno/kiL025G01YbVeHJm6R3LBWLDneoiI4FAfrT/zBF3+u5UzcGe6wNwBrPQ4RjEmtp7YqnzbBBlo2Dad5i4aEBXigUV9/qCtFUUjKzOfYxQz2nzzP7pPxpFn1GB0WeuedoqcukQ4D70DTuS9Uogelxa2p8G5Oy1JycjKpqanXXadBgwbOnori4uLo06cPXbp0YcmSJYVqOYrzn//8hzlz5hAfH1/scqlBENVZnsXEQ8tnk55lxTejJ7XMabz9QBcMTVq4OjRRBlx1w9qmTRvmzp3L4MGDS7VdZmYmPXv25NNPP6VTp07lFF35kQRBVCRFUdh78RjL96/n97/24W+ycbuqCXZzIGftPpzTFXTAosVBLZ2NIDcN7u4GPAxaFJUas10h32wlMddGfJ4Ds1JwvxRmzaCtKZYWSixNWtUj4o4RqGrVc+VPFeWkQrs5LWtBQUEEBQWVaN3Y2Fj69u1LZGQkixcvvmFyAHDgwAHCwq49tLnBYKg2g7wJcTWbw84LP/6bC2npNMkfiMqSy+whTSU5ELfs8OHDZGZmlno7m83G4cOHycnJKYeohKheVCoVHcNb0DG8BVmmXDac/INNp/bw54U9qCwm2poNNCEMT5snOWY3crP05KIjUW1AgwOdYsfNYaW1PZsujmy0qiz8PK0EtGpJ856j8A2LcPVPFJVEqRKEylZCFBsbS58+fahXrx7z5s0jOTnZuexyj0VLly5Fr9fTvn3BcN+rVq3i888/v2EzJCGqm8tjHeyMOUJnx92kmB3M7+yFb5furg5NVBPTpk3jpZdeKtU2Doej3B60fOONN/jpp584cOAAer2ejIyMIuucP3+eJ554gk2bNuHp6cmECRN466230GorZfmZEE7eRg9GtLmdEW1ux2q3cTDuJMcSz/JX6kWiU2NJz08jx5SLxmzCV63DV6vH2+iJW2Bt3EOa0qJ2E9rVaoJBq3f1TxGVUKnOgJWthGjDhg2cPn2a06dPU6dOnULLrm459frrr3Pu3Dm0Wi3NmjXjm2++YeTIkWUaixCV3ee7f2DlwV+5XT+C0xka3mmQSe0h8v9AlI1b7cGoVq1aZRTJFRaLhfvuu4+uXbvy2WefFVlut9sZMmQIoaGh7Nixg/j4eB588EF0Oh1vvvlmmccjRHnRabTOmgUhykKpnkFQq9UEBQWVehA0h8PBhQsX2LBhA/369St1kK4mbUxFVfe/Y9uY/tP/cYf7MI6keDHT9zzdpj4BJWiSJ6oWOV8VtWTJEqZNm1akBmHdunXcddddxMXFERISAsDChQv517/+RXJysvM5t+uR4y2EqErK5RmEylhCJIS4vj0XjjLr54X08ezPoWQfpuhO0u2JKZIciBpv586dtG7d2pkcAAwcOJAnnniCI0eOOJumXq24TiyEEKK6KVWCIKNkClG1nEmNZdrq92jn1pETSaHc5zjFsGcfBZ20ORUiISGhUHIAOKcTEhKK3eatt94qthtsIYSoTqQIUYhqKiU3gykr36KWph4JSQ3obT3Hw1NHy0A3okp78cUXUalU130dP3683L5/+vTpZGZmOl8XLlwot+8SQghXkW4ahKiG8iwmnlr1Dg6TEVtmG1paEnnukQGoA0NdHZoQt+S5555j4sSJ112nQYMGJdpXaGgou3fvLjQvMTHRuaw40g22EKImkARBiGrG5rDzr7Ufci45jYj8gXhbMpk1qgP6+o1dHZoQt6w04+TcSNeuXXnjjTdISkoiODgYKOgdz9vbmxYtpDcYIUTNJQmCENWIoii8/esSdpw5QlvrMKwWE2/0r4NHm0hXhyZEhTt//jxpaWmcP38eu93OgQMHAGjUqBGenp4MGDCAFi1a8MADD/DOO++QkJDAyy+/zJQpU6SWQAhRo0mCIEQ18umu1Xx74Fe6MZwkM8xvbyCg9+2uDkvUcCaTCZVKVeE33bNmzWLp0qXO6cu9Em3atIk+ffqg0WhYu3YtTzzxBF27dsXDw4MJEybw2muvVWicQghR2ZRqHISaSvq5FlXB6kObeeXnj+mpGca5bHfm1k2j5cSJUE6j1IrKqTKcrzZv3syaNWvYvn07R48eJT8/HwB3d3eaN29Ot27dGD58OH369HFJfGWpMhxvIYQoqXIZB+F6XFVCJISArWf289r6RXTXDuKvbE9m+p2n5YQnJDkQFcZqtfLxxx/z/vvvExMTg7+/Px06dGD8+PH4+fmhKArp6emcPXuWr776ig8//JB69erx3HPPMXnyZHQ6nat/ghBCiEtuOkGoSSVEQlRmh+JP8881H9BR3Ze/cgJ53u0U3Z6UgdBExWrUqBEWi4UJEyYwatQoOnTocN319+7dy4oVK3jzzTeZN28eMTExFROoEEKIGypVE6NrlRA1aNCgSAnRvn37SEtLqxYlRFKFLCqrc+nxTIiaRX1TW+Ly6jNVe5Khzz4BBqOrQxMu4qrz1ccff8zEiRNLXYtssVhYvHgxkydPLqfIypdcH4QQVUlJz1mlShDq1at3UyVEX3zxBXq9vsqWEMkFQFRGKbkZPBg1C7/MuqTkN+chTjL6n4+Bm4erQxMu5Mrz1VdffcWdd95JQEBAhX6vK8n1QQhRlZT0nFWqNggzZswgJiaGuXPn3jA5AIiMjGTu3LnExMQwffr00nyVEOI60vOyeOzbOXikh5GS35z77acY/Y9HJDkQLjVhwgTWr1/vnLbZbJw+fdqFEQkhhLgZpUoQJk+ezIoVK0hNTS3Vl+j1+ipbfSxEZZNlyuWJlW+hTgwgy9yGUfZTPDTtAfCU0kvhWn+vkM7MzKRp06b89ttvRdY9fPgwy5Ytq6jQhBBClEKpn2KUEiIhXCfPYmLqqrlYLnqSbW3DaMcpHv7HBFS+NadJh6hartWK9eDBgzz44IMVHI0QQoiSKHWCICVEQriGyWrhmdXvkhNjJNfWjrHKKSb+YyIqHz9XhyaEEEKIaqRM+kGUEiIhyleexcTT379L2kkDufZ2jFdO8eA/HkLl7evq0IQQQghRzZTZQGlCiPKRa8lnysp3yD/tRw4NeVxzinueeQQ8vFwdmhBFZGRkuDoEIYQQt0gSBCEqsSxTLk+ueAf7mVrkqMKY7nmGPlOfAL2MWC4qp6eeeoqXX36Z9u3b06xZM1QqFXFxcdhsNrRaueQIIURVcFNnaykhEqL8ZeRnM3n5u6jPNyAfH14PS6LDI0+CWuPq0IQo1s8//8zBgweJjo7m4MGDbNu2DUVRmDBhAo888gj169enefPmNGvWjOTkZFeHK4QQ4hpuKkGQEiIhytfFjCSejvo/VMmt0DsU3m1ppvF9j4BK5erQhLimAQMGMGDAAOe01Wrl6NGjzoQhOjqanTt3smbNGgBU8vcshBCVUqnv5qWESIjydTThDDO/WIrZFElDWyqvDGxIQI/erg5LiFLT6XS0bduWtm3b8sADDzjnJyYmOq8jQgghKh+Vcq0uiEqouBKi6OhokpKSCr5ApcJut5dJsK5S0mGphbhVv5/ex4KvN5JOS/pbz/LMI4PR12vg6rBEFSLnq4olx1sIUZWU9Jx1y+2BpIRIiFunKAqLt61jw68JZKqb85jhDPf+YwIqGR1ZCCGEEBWs3B4YCAkJKdIeVQhRlNlm4eWlSzhxMQg/xci8xjm0vF8eRhZCCCGEa5TJQGmuFBERgUqlKvSaO3duoXWio6Pp2bMnRqOR8PBw3nnnHRdFK0RhpxPjmfL250TH1aaL7SL/HduOlmPGSHIghBBCCJepFl0Ovfbaa0yaNMk57eV1ZQCprKwsBgwYQP/+/Vm4cCGHDh3i4YcfxtfXl8cee8wV4QqBoigs/WkDP+7NxEEwU73PMvSJR8Ho5urQhBBCCFHDVYsEwcvLi9DQ0GKXLVu2DIvFwueff45er6dly5YcOHCA999/XxIE4RLn4pN5e/E6/rIHcJslgcfubEXdHve6OiwhKlS/fv2oVasWM2bMoEWLFq4ORwghxFWqfBMjgLlz5xIQEED79u159913sdlszmU7d+6kV69e6PV657yBAwdy4sQJ0tPTXRGuqKHyTFb+b8kPTP1kO1lmPQ97Hee1mY9Qt0dfV4cmRIXbvHkzUVFRtGnTplAHF0IIIVyvXGsQKqKE6Omnn6ZDhw74+/uzY8cOpk+fTnx8PO+//z4ACQkJ1K9fv9A2ISEhzmV+fn5F9mk2mzGbzc7prKyscold1AxWu4O1P21j2YFkTGjpbjnOvaP60rTNaFeHJoTLOBwOcnNz+f3339m8ebOrwxFCCHGVck0QLp/0ly9fzpgxY/jyyy9LtN2LL77I22+/fd11jh07RrNmzXj22Wed89q0aYNer2fy5Mm89dZbGAyGm4r7rbfe4tVXX72pbYW4zGqzs/m3PXy56zxJihuRprM0bqFj7Ojn0Gt1rg5PiHJjNpuZNm0ao0aNom/fa9eQeXh4MHjwYAYPHlyB0QkhhLiRck0QbraE6LnnnmPixInXXadBg+IHj+rcuTM2m42YmBiaNm1KaGgoiYmJhda5PH2t5xamT59eKPHIysoiPDy8xPGLmi0/38y6tVtZeTyDFNxobUqkccBF7n/8cZoER7g6PCHKncFgYOnSpXTo0OG6CYIQQojK6aYThPIsIQoKCiIoKOim4jpw4ABqtZrg4GAAunbtyksvvYTVakWnKyi13bBhA02bNi22eREUXNxutvZB1Fyx5+JY98tu1sU7yEdLG/N5/N1O03XUvdzT5knUqmrxyI8QJdKpUyfOnj3rsu+PiYnh9ddf57fffiMhIYFatWoxfvx4XnrppULPpEVHRzNlyhT+/PNPgoKCeOqpp3jhhRdcFrcQQlQGN50gVIYSop07d7Jr1y769u2Ll5cXO3fu5B//+Afjx4933vyPHTuWV199lUceeYR//etfHD58mH//+9/Mnz/fJTGL6sVisrDj1x2si47ngM0bT4edZrbT/GU4gW+/XrzQdS7+7jIasqh55syZwz333MNDDz1E48aNK/z7jx8/jsPh4OOPP6ZRo0YcPnyYSZMmkZuby7x58wDpBlsIIa7llpoYubqEyGAwsHz5cmbPno3ZbKZ+/fr84x//KNQ8yMfHh19++YUpU6YQGRlJYGAgs2bNkpO/uGk2k4kDW//k9+gLbM9xI1etp7ndREftUbYYTtGkY3fmdX+LOr4hrg5VCJd58cUXCQgIoGPHjrz00kuMGjWKiIiICvv+QYMGMWjQIOd0gwYNOHHiBAsWLHAmCNINthBCFE+lKIpysxtv27aNe+65hx07drikhKiiZGVl4ePjQ2ZmJt7eUhpcE+UnJLB/5352nU5mR54HWWojtR3ZNHfP4JjqGHtJpF/j23isy700D6l/4x0KUU4qy/nqjjvu4NChQyQlJQGgUqkICwujbdu2zlebNm1o3rx5hcX08ssv8/PPP7Nnzx4AHnzwQbKysli9erVznU2bNtGvXz/S0tKu2Qz1apXleAshREmU9Jx1SzUIri4hEqJcKAr25ATOHDxK9Kk49iTbOKQKwKrSUAcjvQPMmP2S+D7lTw7azQxp0ZOXb3uBBgG1XR25EJXGhg0bAEhOTiY6OppDhw4RHR1NdHQ0H3zwASaTCZVKhd1ur5B4Tp8+zUcffeSsPQDpBlsIIa7llhIENzc3MjIyyM7O5sUXX2T69OkuLyESotQy07FeOMOZ4zFEx6RwKAsOa4LIVRvQKT60djPxUIQRaqlZF7uPTy4cwS/Di5Ht+zO63QBCvQNd/QuEqLSCgoK4/fbbuf32253zHA4Hp06d4tChQ6XeX2m6wb4sNjaWQYMGcd999zFp0qRSf+fVpBtsIURNcEtNjC4rroTo6NGjFV5CVF6kCrkacDggIxWS4rAnxnLhXDwn4rM4laVwUuXDGX0gVpUWA3aae9hpU8eH1q0bkmvMZv3J7Ww8uYtscx7tazdlVLs76N+4s4xlICql6n6+Sk5OJjU19brrNGjQwNlTUVxcHH369KFLly4sWbIEtfpKb2I308SouBqE8PDwanu8hRDVS4U0MbqsrEuIhCi1/FxIT4WMlEvvqdjTU4hLzeFcmonzeQrnND6c0wVwUeeLVRWKihDq+DhoEmikX90gmjQJJyLUm4Nxx9l0eg9Lt3xHYnYatX2CGd1+IEOa96C+NCMSolgtWrTgxRdfZPTo0YW6Eb0es9lMVFQU7777LkePHi3RNqXpBjs2Npa+ffsSGRnJ4sWLCyUHIN1gCyHEtZRJDUJ1V91L5FxOUcBqAXM+mEwF75c/W0yQnwe52ZCbBTnZkJNV8Dk3m9wcE/FmSHAYSdB6k6DzvvTuS4LGC6tKA4CXVqGej466Qd7UqxNE/TA/GoV542HQkZGfzY6Yg2w6vYftZw+Sa8mnlncgvRt25M7m3WgT1hiVSuXigyREybjqfPXOO+/wzjvvYLfbGTZsGP3796dDhw7Ur18fd3d3AHJzczl79ix79uxh48aN/Pjjj+j1ep5//vkyH3sgNjaWPn36UK9ePZYuXYpGo3EuuzxIZmZmJk2bNmXAgAHObrAffvhh5s+fX+JejOT6IISoSkp6zipVglBRJUSVTbW9ADgcYLeB1Qq2Sy+rFWyWv03/fXkJlpVk2my6kggoDmdYFtRka4xkq41kqN1I03qQqvchzeBLmt6LVI0naSoDqQ49JuVKiaBRqyLM20CIvyeh/p7U8vegXqAn9YK88PXQO2/ys8157L14jD/PH+HP80c4mXweBYWWIQ3o06gjfRpF0jiwriQFokpy5fkqOzubzz77jCVLlhAdHe38P6TVFlRW22w2ABRFoVWrVjz88MM8/PDD5RLnkiVLeOihh4pddvVl7+qB0gIDA3nqqaf417/+VeLvqbbXByFEtVQuCUJlKyGqKDd1AcjPha3rAaWghNyhXPrsAIVL78pVr79PX7Xu5Rt5uw3s9oJ3h/3KZ5u96HJ7MfMcdrDZrtyg38qzIRoNaHVXXjpdoWm7Vk+u1kiexkiO2kCuxkCuSk+OSk8WOrLRkYWebEVLtl1Dtl1Flg2yrWCyF/2TdDdo8fc0EOBlxN/T4Pwc4Gkk1M+dUF83fNz1RW7qFUXhfEYCh+JPczj+L6LjTnIs6SwORSHUK4BOdVvSqW4rOtVtRYiX/80fDyEqicpywxoTE8OOHTs4fvy485mBgIAAmjVrRteuXYv0HlRVVZbjLYQQJVEuCQJUrhKiinJTF4C0ZJj5GKhVoLpUyq1WAypQqQrmoyqYp7r8WXXV8kvbqNQF8zXagptytebS50vTRd5LsLzIjb2+0E2+Xa0lT9GQq6jJdajJtUGuXUWuHXKtCrlWB3kWO7lmG7kmKzlmG3kma8G02UquyYbJeu3kw02vwdtNj5ebDi83Pd5uOrzcdIXmebnp8HbX4+OmJ8DLgFF/48dlrHYbMWnxnE45z+mUCxxLPMvhhL/INOUAUNcvlFahjegY3pxOdVtSxydEaglEtePKG9b+/fszZcoU7r777iLt/asrSRCEEFVJuSUIcXFx1KpVC5ASIlewOxxY7QpWmwOr3Y7N+fnKy2Z3YLU5MNvsmCx28i028i12TBYb+daCadPfpnNNNvIu3eDnW659c6/TqHE3aPEwavEw6PAwaPEwaHE36vA0Xpn2MOoK1jPoLq1b8NnTTYdOc2s3DtnmPC5mJHIhI5Hz6fGcSrnA6ZQLxKTFYXMUxB7s6U+ToLq0DmtE67BGtApthI+b5y19rxBVgSvPV3Xq1CE+Pp5atWrx2GOPMWnSJGd7/+qqMl0fhBDiRsotQfD09OSZZ57hxRdfxMvL65YDrQpu5gKQkmXiyU+2AgW1KQoFrYZAudKC6PLngpWc6xS7/i3Er1aBUa/FTa/BTafFqNfgdmnacGnao5ibeferkgBPY8EyvVZz4y+8BTaHnbS8TJKy00nOTSc5J43E7DQuZiZxISORixmJzhoBAG+jB40Cw2kUEE7joPCCz4HheBslGRA1kytvWB0OB2vWrGHBggX8+uuvaLVahg8fzpQpU+jVq1eFxlJRJEEQQlQl5ZYg3Hnnnaxfv56AgABmzJjBlClTSvzAclV1MxeAXLOVNbtjUKlUqChoNXT5MypQoSqYx6X5lz7jXL/w8kuL0KhV6DRqtBo1ussvrbrYeXqtGje9Fr1W7bKmNBablQxTNpn5uWSassnIzyHLlENGfjaZphwyTTmk52WRnJNOUk46qXkZOK76k9SqNQR6+FLHJ5g6viGE+4ZQ2zeEcJ+Cz1IrIERhleWG9a+//mLBggUsWbKE9PR0mjdvzpNPPsmDDz6Ip2f1+X9bWY63EEKURLklCABbt25l+vTp7Nixg7p16/L666/zwAMP3FLAlVl1vAAoioLNYcdit2K2WbHYLJjtViw2Gxa7pWCe3YrZZsFisxYss1ux2KzkWUzkWU3kWUzkWvKd07mWfPKsZvIs+eRaTORZ8jHZLEW+W4UKL6M7vkYvvI0e+Ll5E+zlR5CHH0GefgR7+l9698PP3Ru1qma0ZRaiLFS285XZbOabb75hwYIF7Nq1C09PT8aPH88TTzxB69atXR3eLatsx1sIIa6nXBOEy3766SdefvllDh48SNu2bXnrrbcYNGjQze6u0rqZC0CWKYeFO1Y6mxE5LnXj6VAcl5oPKZeaEhW8F5SaX1oXx6WmRkXXtSsO7A4Hdocd26WX3WHH7nA4P9scduyKA5vdVjBfsWOz27Erl9ezYbXbCpXUl5ROo8VdZyx46QteHnq3gs+6gs9uOgMeejc89Ea8jZ54Gz3wdfPCx+iJr5sXXgYPNDXkAUYhKlplvmGNjo5mwYIFLFu2jNzcXLp3786WLVtcHdYtqczHWwgh/q5CRlIeMmQIQ4YMYfny5cyaNYshQ4bQu3dv3nnnHTp27Hgru67yzDYrf5w7hEqlQq1SobrUO9Hlz6qrmhJde7nqUodHBTfTKpUKjUqNVq3BoNXjri74rFVr0Fx+qdToNBo0qoLpy8u0arVzWq1WY9DoMGj16DU69Fodeo0Og7bgs0GjL/j8t2U6jVZK84UQ13TgwAGysrLIysoiOzvb+fnv0y1atGD37t1s377d1SELIYQoRpmNpGy32/n888+ZM2cOFy9eZMSIEbzxxhs0bty4LHbvUlJCJISoKlx5vlKrrzzvpNFo8PLyuuHrjTfeqNAYy5pcH4QQVUmF1CBcTaPRMGnSJCZMmMB//vMf5s6dS6tWrXjkkUf473//W1ZfI4QQopJq2LAhf/31Fy1btuTZZ59l7NixGAwGV4clhBCilMq0vUhKSorzIbRhw4bhcDj4+OOPy/IrhBBCVFKnTp3i559/plGjRjz22GPUrl2bf/3rX8TExLg6NCGEEKVQ6hoERVE4e/Ysx48f59ixY873EydOkJaW5lxHr9fTvHlzWrRoUeZBCyGEqJwGDBjAgAEDuHDhAosWLeKzzz7jvffeY9CgQTz11FMMHDjQ1SEKIYS4gVI/g+Dm5obFUtB1paIouLm50axZM1q0aOFMCFq0aEGjRo1QV5OeaqSNqRCiqqhs5yubzcbKlStZsGABW7ZsoWHDhjz55JM89NBD+Pr6ujq8W1bZjrcQQlxPuXVz+tBDDzmTgBYtWhAREeGyQbgqilwAhBBVRWU+Xx07dowFCxbwxRdfYLPZGDt2LIsWLXJ1WLekMh9vIYT4uwoZB6GmkAuAEKKqcOX5as+ePSXq5jQuLo49e/agUqmw2+0VGmNZk+uDEKIqqfBejKqzyzlUVlaWiyMRQojru3yeckXZT6dOnVCpVMV+t16vx9vbGx8fH3x8fOjbty8+Pj4VHmNZk+uDEKIqKek1QhKEEsjOzgYgPDzcxZEIIUTJZGdnV/gN+Oeff+5MAHx8fAolBNW1u1O5PgghqqIbXSOkiVEJOBwO4uLi8PLyKtXzFllZWYSHh3PhwoUqU/VcFWOGqhl3VYwZqmbcVTFmuLm4FUUhOzubWrVqVZuOIiqzmnR9gKoZd1WMGapm3FUxZqiacd9szCW9RkgNQgmo1Wrq1Klz09t7e3tXmT+4y6pizFA1466KMUPVjLsqxgylj7s6NN2pKmri9QGqZtxVMWaomnFXxZihasZ9MzGX5BohxUtCCCGEEEIIJ0kQhBBCCCGEEE6SIJQjg8HAK6+8UqUezquKMUPVjLsqxgxVM+6qGDNU3bjFjVXVf9uqGHdVjBmqZtxVMWaomnGXd8zykLIQQgghhBDCSWoQhBBCCCGEEE6SIAghhBBCCCGcJEEQQgghhBBCOEmCIIQQQgghhHCSBEEIIYQQQgjhJAmCEEIIIYQQwkkSBCGEEEIIIYSTJAhCCCGEEEIIJ0kQhBBCCCGEEE6SIAghhBBCCCGcJEEQQgghhBBCOEmCIIQQQgghhHDSujqAqsDhcBAXF4eXlxcqlcrV4QghxDUpikJ2dja1atVCrZYyoPIm1wchRFVS0muEJAglEBcXR3h4uKvDEEKIErtw4QJ16tRxdRjVnlwfhBBV0Y2uEZIglICXlxdQcDC9vb1dHI0QQlxbVlYW4eHhzvNWRUlLS7ul7X18fNBoNGUUTcWR64MQoiop6TVCEoQSuFxt7O3tLRcAIUSVUNHNXQIDA2/pOzds2EC/fv3KMKKKIdcHIURVdKPzdakShKpcQvSf//yHd999l4SEBNq2bctHH31Ep06dXBKLEEJUR8OHD6dNmzal2iY3N5f33nuvnCISQghxM0qVIFTVEqJvvvmGZ599loULF9K5c2c++OADBg4cyIkTJwgODq7weIQQojoaMWIEY8eOLdU2qampzJs3r5wiEkIIcTNK3cSoKpYQvf/++0yaNImHHnoIgIULF/LTTz/x+eef8+KLL7osLiGEqC7mz59Px44dS72dp6cn8+fPp2nTpuUQlRBCiJtR6gShqpUQWSwW9u7dy/Tp053z1Go1/fv3Z+fOncVuYzabMZvNzumsrKxyj1MI4XoOh4Mck4msnBxMuTnk5+Zgzjdhtlgwm62YrBYsFhsWixW7zYbNbsNht6PYHTjsDhwOBUVRcDgU7IqCQynoUs6hcOkzOJSCdRQFFBS4tA4Al98uTwN3DepG69ZtXXA0SueZZ54hPT291NsZDAaeeeaZcohICCHEzSpVglAVS4hSUlKw2+2EhIQUmh8SEsLx48eL3eatt97i1VdfrYjwhBDlwGq3EZueQsz5C6TEJZKRmkF2ronsPBt5FjDbVFgdGiyKBgs6zCotJpUek0qHQ1WSsQN0l17XplIU1DhQo6BWlIJ3HKgVUKEACpcbbKqcn5VL01f20TEuvkokCAChoaEMHjyYcePGMXToUAwGg6tDEkIIcRNKlSDUlBKi6dOn8+yzzzqnL3cJdavWr1/PoEGDrrl86dKlPPjgg7f8PVc7cuQIs2fPZu/evSQkJODu7k6LFi14/vnnGTp0aJH1zWYzs2bN4ssvvyQ9PZ02bdowZ84c7rjjjht+15IlS5zNuLZu3UqPHj0KLVcUhbp163Lx4kWGDBnC2rVrS/w7hg0bxsaNG0lMTLxm11zjxo1jxYoVxMfHExAQUOJ9i6opz2LiePw5jh49Tvz5JNIzLOSZ1OQ4jGSoPMnWuF9aUwX4oVPseNvz8FJMuGPBQ23FV2NBr8nFoFVh1Kow6tUY9Fr0Bj06vR6dQYder0dv0GHQ6TEYCl5uBgN6gwGdzoDOoEerM6DVadHqdGi1OrQaDeoq2GXnrRo5ciQ//PADP/zwA15eXtx7772MGzeOfv36ySBiQghRhZS6iVFVKyEKDAxEo9GQmJhYaH5iYiKhoaHFbmMwGMrldx08eBCADz/8ED8/vyLLBw4cWObfee7cObKzs5kwYQK1atUiLy+PlStXMmzYMD7++GMee+yxQutPnDiR7777jmnTptG4cWOWLFnC4MGD2bRpU5Eb/msxGo1ERUUVWf/333/n4sWLN3Vsx40bx48//sj3339fbBKVl5fHmjVrGDRokCQH1VCOOY+Dsac5sC+a2JgUMnJ0ZCh+pGm8UVRaVEoYQfZs/MmljtZEGzcTgT5uhAT6ElorhNrhdfEJDESlr9znq6pu2bJl5Ofns3r1aqKioli2bBlLly4lJCSEMWPGMHbsWCIjI10dphBCiBtQKVc3di2BcePG8cMPP5CXl1dlSog6d+5Mp06d+Oijj4CCdsZ169Zl6tSpJXpIOSsrCx8fHzIzM2+pn+vx48ezdu1a0tPTXXqs7HY7kZGRmEymQs2sdu/eTefOnXn33Xf55z//CYDJZKJVq1YEBwezY8eO6+73cg3Cvffey5YtW4iPj0ervZKDPvbYY+zbt4+UlBRatWpVqhqE/Px8QkJC6NatGz///HOR5V9//TVjx45l+fLl3H///SXer6ic8iwm9l44yrZ9+0k4lUq2yY9EbQg2lQa9w0Z9eyp1jWbqBnvRvFE9GjdvjDE4BCrpOagildX5qiykp6fz7bffEhUVxbZt2wBo3Lgx48ePZ+zYsTRo0MCl8V3tZrvCrkzHWwghbqTE5yzlJuTl5SlRUVHKXXfdpej1ekWtVithYWHKs88+q+zZs+dmdlmuli9frhgMBmXJkiXK0aNHlccee0zx9fVVEhISSrR9ZmamAiiZmZm3FEerVq2UPn363NI+yspdd92lhISEFJr3/PPPKxqNpsjvfPPNNxVAOX/+/HX3uXjxYgVQVqxYoahUKuV///ufc5nZbFb8/PyU9957T6lXr54yZMiQQttevHhReeihh5Tg4GBFr9crLVq0UD777LNC60yYMEHRarVKYmJisb/Hy8tLycvLK9HvF5VPSk6G8vW+9crUBXOVR2fNU0a88o0y4LW1yrDZq5QZr3ysLPvoc+XY79sUS2aGq0Ot1MrqfFXWLl68qLzzzjtK+/btFZVKpajVaqVr166uDktRlIJrhF6vVz7//HPlyJEjyqRJkxRfX99izzV/V1mPtxBCFKek56ybGknZzc2NMWPGMGbMmEIlRB988AEffPBBpSshuv/++0lOTmbWrFkkJCTQrl07fv755yIPLpcni8XCiRMn6NGjBykpKUWW+/j4oNMVfujRarWSmZlZov37+/ujVl/74crc3Fzy8/PJzMzkhx9+YN26dUVK2vfv30+TJk2KZJSXS9EOHDhQomcxIiIi6Nq1K19//TV33nknAOvWrSMzM5PRo0fz4YcfFlo/MTGRLl26oFKpmDp1KkFBQaxbt45HHnmErKwspk2bBhTUXi1dupRvv/2WqVOnOrdPS0tj/fr1jBkzBjc3txvGJyqPXEs+64/vZMPeP7HFKGSq6pOpaUUIWfRzy6BbG39aduuOzsfX1aGKW1S7dm2ef/55Bg0axKxZs1izZg27du1ydViAdIUthBB/d1MJwtX8/PyYPHkykydPJjY2lqioKL7++mtmzZrFK6+8QufOnW/YNKUiTJ06tdBNZUU7evQoVquVhQsXsnDhwiLLT5w4QZMmTQrN2759O3379i3R/s+ePUtERMQ1lz/33HN8/PHHQEE3r/feey//93//V2id+Ph4wsLCimx7eV5cXFyJYgEYO3Ys06dPJz8/Hzc3N5YtW0bv3r2pVatWkXVfeukl7HY7hw4dcj4/8PjjjzNmzBhmz57N5MmTcXNzo1+/foSFhREVFVXo33LFihVYrVbGjRtX4viEa51KPs83+37hyJ5TGCyNide2wleVR0/3bPp3CKFZj36ojJLsVRfnz593XhsOHz6Moih069atUvyfLW1X2NINthCiNOwOO2arDZPFjNlkwmQ2Y7GYsZgtWKwWLBYLFqsVq8WKzWbDbrNjtzlQHLaC7rMVBw4HKI7Ln690p+3p6cY9d99dLnHfcoJwtcpcQuRq0dHRQEE7/dq1axdZ3rhx4yLz2rZty4YNG0q0/2s9cH3ZtGnTGDlyJHFxcXz77bfY7XYsFkuhdfLz84t9gNhoNDqXl9SoUaOYNm0aa9euZdCgQaxdu7ZIzQEU9Gy0cuVKRo0ahaIohWpXBg4cyPLly9m3bx/du3dHo9EwevRo5s+fT0xMjDMhioqKIiQkhNtvv73E8YmKpygKW8/s57M/fsRy2oFDaUGGphctSeKRBvl0G3w7Gj9/V4cpykhKSoqzdnnnzp0oikKzZs147bXXGDdu3HULNCpSabvClm6whag5rHYb8ZmpnE9MIjk+key0DLKzcsnNs5BvtmEyK5jtaqwONXZFjVXRYEWLFQ1WlRaLSou5xN1n/5360uvawm0p3FM++UHZJQiVuYSoMjh48CBarZYxY8ag1+tLtI2fnx/9+/cvk+9v1qwZzZo1A+DBBx9kwIABDB06lF27djkfmHZzcytUMnaZyWRyLi+poKAg+vfvT1RUFHl5edjtdkaOHFlkveTkZDIyMli0aBGLFi0qdl9JSUnOz+PGjWP+/PlERUUxY8YMLl68yNatW3n66afR1MBuJasCRVH4/a+9LNy+Cm2MBjNtyFMZ6KtOYHiv2jTqOQjU8m9XHeTm5vL9998TFRXFr7/+itVqJSwsjGnTpjFu3Dg6dOjg6hBvWXl1gy2EqHh2h4O4zGSOXjjH6dNnSY5PJzvLjsmiJc9hIEflTrbaHcXZAYYb4IZOseFlN+GhmHHHgkFlQ6eyo9VY0KsVdBrQa1TodSp0WjU6nQaNVotWq0ar0aDVatBq1Gi0OnRaLTqdBp1Oh1arRavTotEWrK9Wa1Fr1Gg1atQaDRqNBo1Kg1qjRqPRoC/HnkRvKUGoKiVElUF0dDT169cvcXIABVXfaWlpJVo3KCioVDfII0eOZPLkyZw8edI5gF1YWBixsbFF1o2PjwcotnnQ9YwdO5ZJkyaRkJDAnXfeia+vb5F1HA4HUNDD04QJE4rdT5s2bZyfIyMjadasGV9//TUzZszg66+/RlEUSUQrqT/OHeL9zcuwnlehd7QnVeVGf3UC4wa2JbTjUOl1qJoJDg7GZDLh6enJ2LFjnT3cXe/5KFcrbVfY5dUNthCifOVZTBxJOMOuoyeIPRVLZoZCjs2TTLUvJrUe8ESjuBFmy8SfPEK1ufgY8wjwNBDk70VQcABBISEEBodg9PUBXcnv56qiUicINaGEqDxER0fTpUuXUm2zY8eOMnsG4e8uNxe6+iHodu3asWnTJrKysgo9qHy5mVi7du1KvH+Ae+65h8mTJ/PHH3/wzTffFLtOUFAQXl5e2O32EteWjBs3jpkzZxIdHU1UVBSNGzfmtttuK1VsonzFZibx3uavOHDkFHWtXYlXB9CJWMYPjCC8012SGFRT/fv3Z9y4cQwbNszZNLGy0+v1REZG8uuvvzJ8+HCgoODi119/delza0KIW5NjzuPP80fZcvAICaeTycv3JlUTjFWlR63Uo641nSbqLMI8zdQNC6BJg3rUblAXbWAwVOJCjYpS6gShKpYQuVpCQgJJSUnOJj4lVRbPICQlJREcHFxontVq5YsvvsDNzY0WLVo4548cOZJ58+axaNEi5zgIZrOZxYsX07lz51JXo3t6erJgwQJiYmKKHbUZQKPRMGLECKKiojh8+DCtWrUqtDw5OZmgoKBC8y4nCLNmzeLAgQPMnj27VHGJ8pNvNfP5rjV8uXsdbXLaoGcIRkc677dz0PKuR0CagVVra9asKTLPbDazb98+kpKS6N69O4GBgS6I7PqeffZZJkyYQMeOHenUqRMffPABubm5zl6NhBBVw8WMRH4+tptde49hTnYjU10bkzoQd4c3LRyJDPCKp1XTujRt3RJj3XrSvPU6Sp0gVMUSIle7PIJycnIyX331VZHlbdu2pXXr1kXml8UzCJMnTyYrK4tevXpRu3ZtEhISWLZsGcePH+e9997D09PTuW7nzp257777mD59OklJSTRq1IilS5cSExPDZ599dlPff61mQ1ebO3cumzZtonPnzkyaNIkWLVqQlpbGvn372LhxY5FmVvXr16dbt27OmxFpXlQ5RMed4uV1/8WepCHcehfJiprJgakMe2A4Gm8fV4cnXODDDz9k9uzZzprKDRs20K9fP1JSUmjWrBnvvPMODz/8sIujrBxdYQshbk5idiprDm3h970nUKd4kq4Jx6pqSUNHMv3c4rmtZQRNb+uCNiRUaq9LodQJQlUtIXKlyz0YLV68mMWLFxdZ/sUXXxSbIJSF+++/n88++4wFCxaQmpqKl5cXkZGRvP322wwbNqzYWGbOnMmXX35Jeno6bdq0Ye3atfTq1atc4oOC3kJ2797Na6+9xqpVq/jvf/9LQEAALVu25O233y52m3HjxrFjxw46depEo0aNyi02cWMWm5X/7ljB0l3/o4ulK2ccETSzxzFteCQB7aXJYU21ePFipk2bxujRoxkwYEChRCAwMJB+/fqxfPnySpEggOu7whZClJzVbmPb2QN8s/t3sk5ZyKcxeerWNHEkcpd3Ir1ua0pYp75gdHd1qFWWSlEU5VZ2UFVKiG5FiYelFqKGOZF0juk/fURmoolalp5kKgYmB6Yz+OFRqNw8XB1ejVRZzletWrWicePGfP/996SmphIUFMTGjRvp168fAG+//TYffvhhsR0jVCWV5XgLURPkmPNYceBXVuzciXdGXdI14XjaTdyujmdwh3pE9O0DHl6uDrNSK+k565Z6MapqJURCiLLz/aFNvLXxc1rb2pJvaYqfLZW37qxLna7DXR2aqAROnz7N008/fc3l/v7+pKamVmBEQoiqKjU3k6h9P/PTHwfwy22MXdMdX3sKj/pdoOddfTE0HOHqEKudW0oQ3nvvPe6++26ioqKKPdFHRkYWOziWEKLqMlktvPXr56yO3kJv5Q5OWIK5V32OR54agTZI2myLAr6+voUGPvy7o0eP3nCARyFEzZZjzmPx7h9Y+cefBOe1RVH3INSewLQ6SXS6exCqoDBXh1ht3VKCICVEQtQsFzMSefaH+SQkpdPRMowYu5HpYSn0eXgSaHWuDk9UIoMHD2bRokU8+eSTRZYdOXKETz75RGqXhRDFstptrIr+jUVb1hGc0RSDuh9h1gRerp9A65H3ovLxc3WI1d4tJQhSQiREzbHv4nH+seY9QmxhBOUNwmHP58Ne3kTcPtzVoYlKaM6cOXTu3JlWrVoxdOhQVCoVS5cu5fPPP2flypWEhYUxa9YsV4fpMr//tZd9F4+jVqlRq1SoVKriP1PwuWBewUur1qLT/O2l1qLX6tBdZ5mbzoBRa0Aj3ZKLSmxnTDRvbfwKVXwweqUfens2M/zO0ev+u1GF1HZ1eDXGLSUIUkIkRM3w09FtvLJ+IR21HbiQ2Yi2tkRmjO2OZ7MWN95Y1Ei1atVi7969zJgxg2+++QZFUfjyyy/x8vJizJgxzJ07t0b3eHc65QK/nfoTh+LAoSgoioKDqz4rCsqlZYU/O7A57Ngc9pv+boNWh5vOiLvOgFFnxE1nwE1nwP2qz246I54GN7yNnngbPPA2euBlcC+YNhZMu+uMqKTbSFFG0vOymLfpK7ZGnyXI2hm7ouFh1UnufmAI+salG0dK3Lpb6sUoLi6Ozp07oygKQ4cOZdGiRYwfPx673e4sIdq9e3eVvwhILxWiplIUhY93rmTB9u+4Q9+XQ1l1GOQ4x1NP3IM2WNp+VkaV9XyVnJyMw+EgKCioWg2s6arjrSgKVrsNq8NW8G63YbFbL322Y3MUnme2WzFZzeRbzeRZTc7P+VYTeZaC9/yrludZTORa8sky5ZJnNRUbg0alxtvoib+7NwEePgS4+xDg4YO/u6/zc6CHLyFeAfi5eUkyIYqlKAo/HdvGvF+/JSSjJRmE08V0jindahE8aKgMsFnGKqQXIykhEqL6sjnsvLr+Y344vJU7tHdxKMuPCfrzjHnqQVTunjfegRBX+fuI6OLWqFQq9Fodesr/2R+r3UaOOY8scy5ZplyyL71nmXLJNOWQlpdJam4mybkZnEg6R2peJpmmnEL7MGr1hHoHEuoVQJh3IGHegdTyDqKefxgRfrXwNkq3yDVRWl4Wr67/mAPHUvGx3Y7abuFl37/o8eRoVAHBrg6vRrvlcRCuJiVEQlQPZpuFF378N9vOHKIXQziZ68azfgnc/uQjUppTybnyfFXc4IvXo1Kpih18syqR60PxrHYbaXlZpOSmk5CdSnxWivOVkJVCfHYqaXmZzvX93X2IuJQsRPiH0SCgDs2CIwjylIdRq6sdMQeZ+dMn+Kc3J0uJ4HbTaZ4c2ALPnv1lxONyVCE1CH8nJURCVH25lnye+X4eh2LP0N1+F3/l63m1ThodH3oUqlHiL8re2rVrMRqNhIaGUpKyJ2lyUn3pNFpCvPwJ8fKnZWjDYtfJs5g4lx5PTFpcwSs9nqOJZ/jfse2YbGYAAj18aRYcQbPgCJqH1KdNrcYEe/pX5E8RZcxss/Dh1q/5bvcewi29sTs0vKg/St9nH4QA6Sq7sijTBEEIUbWl52UxZeVczqem0sEymAtmDW82NdPq/glSoiNuqHbt2sTGxhIYGMjYsWMZPXq09GQnrsldb6R5SH2ah9QvNN+hOIjLTOZ4UkzBKzGGNYd/59NdqwGo7RNM+9pNL72aUT+gFmqVFF5UBbGZSTy35gMyLhrxsw0kwhLH8x39CRn2LKildroyKXUTI6lClipkUT2l5WXx6DevkZ5jpmFOH7LMCm900NO4lP/nhWu5+nz1+++/ExUVxXfffUdWVha9e/dm3LhxjBw5Ei8vrwqPp7y5+njXJEk5aRyMPcn+2BMciD3B8aQY7IoDf3cfukW0oUf9dnSp1xo/d/l3qIy2nz3A9LULqJ3VjjRHXUabj/DgA4PRNG3l6tBqlJKes0qdIKjV6lJXIZ85c6Y0X1HpyAVAVHdZphwe/XYOKZm5ROT0xWSyMreLJ3XvHOLq0EQpVZbzldVq5X//+x9RUVGsXbsWh8PBnXfeydixYxk6dCgGg8FlsZWlynK8a6I8i4no+FPsOneY7WcPcCL5HCpUtAprSPeIttzepBONA+tKUzYXcygOFu1cxSfb1tHcfDtZDnf+6X6GXo8/DF6+rg6vxim3BCE8PJzY2Fg6duxYY6qQ5QIgqrMccx6PrXiD2LQMGuT1x5xv4d1ObtQeIjUHVVFlPF/l5OSwatUqFi5cyK5du5g9ezYzZ850dVhlojIe75oqKSeNHWej2X72ADvPRZNtzqOeXxh3NOnMHU270DSoniQLFSzXks/0n/6P/ccvEGzrg4fNzCstoeHI++WZNhcpt4eUL1y44KxCfv3113n++eerfRWyENVVnsXElFVvcz4ljcamOwqSg0i9JAeizJjNZtavX8+aNWvYv38/RqORiIgIV4flcluOxrP/bAoatQqNWoVarUKjuvSuVqHTqDHqNBj1WgxadcG7ToNBp8Go0+Cm1+Bp1OFp1KHVyI0WQLCnP8Nb92F46z5Y7TZ2nTvELyd38e3BDXy6azWNAsMZ1rI3Q1r0INDD19XhVnvxWSk8teodrPEeeFnvoJElgZfuboX3bV1dHZoogVvq5lSqkIWouvKtZqauepvj8XE0MQ3AlG/l3fZa6gwf4erQxC2oDOcrh8PBhg0b+Prrr1m9ejV5eXn079+fsWPHcs899+DhUX36vL/Z471q11l+OxSLw6FgdxSMlnz53WZ3YLU7MFvtmCx2bnSRNuquJAseRi1eRh0eRh1ebjo8DDo83XR4u+nwdtPj7a7Dy02Pt5seD6MWdQ0oUb+cLPxwZAubTu/B7rDTvX47RrTpR88GHdBISXaZi44/xbRV7xOa2YpUewT32E4xadI9aOrUc3VoNV65NTG6FqlCFqLqMNssPLN6HgfOx9DcciemfAvvtIXwe+93dWjiFrnyfLVjxw6ioqJYsWIFqampdOnShbFjxzJq1KhqO2hmeR/vghGTHZgsdkzWgpfZaifPbCPXbCXHZCXHZCMn33plOt9Kjtl26d1Kdr4Vs9VeZN9qFXgaCxIHL/dLCUShz1eWeRkLkgtvNz0GXdXtbSbLlMPPx3ey+vBmjiT8RS3vQO5rewf3tO4rDzeXkXXHd/DK2sU0NvUi0+HNM8az3DHlEfCQFiaVQYWOg+CqKuSYmBhef/11fvvtNxISEqhVqxbjx4/npZdeQq/XO9epX79+kW137txJly5dyj1GISobq93G8z/+m/3nz9DCOgRTvpV3WjkIv3eMq0MTVVyPHj1wc3Nj8ODBjBkzxnkdOH/+POfPny92mw4dOlRghFVPwYjJGvRaDbdy+2qx2cnKs5KVbyEr30J2npVsk5WsPMuleVay8yzEpuWSFWshO99Kdr4FRzFFiAatGi93vTOJ8HK7kjxcnvZy0+HtfiXJ8DDq0KhdX1vhbfRkVLs7GNXuDg7H/8U3B9azYMd3LNjxHXe16MnETkOp5xfm6jCrJEVRWLjjO5Zu3Uxd60Cw2XmvYQZNxz8lXZhWQTedIFyrCvmTTz6psCrk48eP43A4+Pjjj2nUqBGHDx9m0qRJ5ObmMm/evELrbty4kZYtWzqnAwICyj0+ISobm8POi2s/ZOfZY7SyDiU/38o7zS2E3zfe1aGJaiI/P5+VK1eyatWq666nKAoqlQq7vWjJdo2wZR0c2FnwoKZKXfi90EtTMAaJRgs6Hej0oL3eu+7K9OWX3oBeryfQYCTQ07PED4c6FIVck60gobiUMBQkFFbnvMvT8em5BfPzLJiKqa1QwaWmTpeSCHc9XsYrSYSXmx5fdz0B3kYCvYwEeBnKvelPq7CGtAp7kmd7j2fVoU1E7VvH94c2cUeTzjzUaRgtQhuU6/dXJyarhVfWL2RPdAIBtoGEW5KY1b8efn3ucHVo4iaVOkEorgr5zTffdEkV8qBBgxg0aJBzukGDBpw4cYIFCxYUSRACAgKqfW9LQlyP3eFg5rr/8vvpQ7SxDSU338a7TfKpe/+Drg5NVBOLFy92dQhVx+UEwOEAhw0Ux6XPV70UBzjs4FDAbgObFaxWsFoufb70XlpaHegNBa9LCcSVz0bQF8xT6w146Q14FbeOux58DaAzgN6zYBudAQwGLCod2Q412TbIMtudSUT2pZqKy9MJGXmcjMu4VJNhxXFVi2e1Cvw9jQReShiCfNwI9DIS5udOLT93wvw9MJZRUyc/d28e6Xw34yPv5McjW1jy54+M+WoGXeq15tHOw7mtbssb76QGS8nN4Jnv3yMnxg+t0p0BlpM8+eBAdE1auDo0cQtuahyE4qqQr6ciq5Bffvllfv75Z/bs2QNcaWIUHh6OyWSiSZMmvPDCC6Ua8E2eQRBVnUNx8Or6Rfx4eAcdHHeTmafwbsNsIsZPlBGSqxk5X1Uslx9vRbmSONj+ljxYLQXzLaaCzxbzVS8LWM2F5129jtVSsJ3l0jzrVdvZbSWP73JtRnEJyVXTis5AtsZIqsqdFPQkO/Qk23Wk2DSkWFUkm1UkmxyYbFduWQK8DNTy8yDMz53a/h7UC/IiItiLEF+3W3r42u5wsPHkLj7fvYbjSTF0qtuSqT3up22tJje9z+rqZPI5nvruA7xS2pCvBPAkRxky9RHwD3J1aOIaynWgNOfGN/gPWNFVyKdPnyYyMpJ58+YxadIkAFJSUvjiiy/o3r07arWalStX8s4777B69eprJglmsxmz2eyczsrKIjw8XC64okpSFIU3N37Odwc205HhpOXCO/UzaPjgw5IcVEMuv2GtYWrk8bbbLyUMxSURf08orpF8mE3FJCTFrH9VDYkCZKjdiNP5Eqf3J849iDiDP/Eaby4q7uQqBTUKBo2Kev5uRIT6EBHqS/1gbxqH+eDlpivVz1QUhd//2st/tn/LyeTz9GzQnqk97qdZcEQZHsyqa/Nfe5mx+gtC87qjt8PL/rG0mvwEGIyuDk1cR7klCEuXLi11MBMmTCjV+i+++CJvv/32ddc5duwYzZo1c07HxsbSu3dv+vTpw6effnrdbR988EHOnj3L1q1bi10+e/ZsXn311SLza9QFQFQLiqIwb/MXLNuzgc6q4STlqplbJ5WmDz8qyUE1VSNvWF1Ijnc5c9gLakHycyEnC7IzC145V71npKGkJZOankOMRUeMLoAYvT/ndAGc0wdgVhW0pq5jVGgSaKRpvWCaNq5DwzAf9NobN1NyKA7Wn/iD/27/lvPpCQxo0oUpPUYR4V+rvH99paQoCl/sWcsnG7fjY+1KA0sqs9oZCLp3jAx+VgVUeDenZSk5OZnU1NTrrtOgQQNnT0VxcXH06dOHLl26sGTJkkK1HMX5z3/+w5w5c4iPjy92udQgiOpAURQ+2racz/5YS1fVcOJztbwZlkTLRyfJSbwac9UNa5s2bZg7dy6DBw8u1XaZmZn07NmTTz/9lE6dOpVTdOVHEoRKxmqBtBRIT4bUJBxJccTGJnMy1cSJPC0ndEH8pQ/CqtKgwUFDo422oe60aVKblm0a4+F27fGbbA47Px7Zwsc7VpKcm859be9gctd7a1T3qGabhVfXf8Ke/bmolJb0zzvJ08M7YOjc29WhiRKq0G5Oy1pQUBBBQSVrvxYbG0vfvn2JjIxk8eLFN0wOAA4cOEBY2LW7MTMYDNVmkDdRcy36YxWf/fEj3dXDuZij442QeFo+OlmSA1EuDh8+TGZmZqm3s9lsHD58mJycnHKIStQ4Oj2E1Cp4AWog/NLrdocD0pKwXjzH2ZMxnLiYxpFMhV9PB7AixoZ6/VkaafNoG2ggsmU4LSNboTdeuRfQqjXc07ovg5t3J2rfz3z6x/f8eOR3Hu1yD2M7DMKg1bvkJ1eUpJw0nvnuQ3IvhKNV6jLJvJfhk0ejipBnM6qjUtUgVLYSotjYWPr06UO9evVYunQpGs2VqsLLPRYtXboUvV5P+/btAVi1ahUzZ87k008/5aGHHirR90gJkahqFu/+gQ9+X0539TDO57rxWmAsHR5/XJKDGsBV5yu1Wk1QUFCpu7h2OBxcuHCBDRs20K9fvzKN6Y033uCnn37iwIED6PV6MjIyiqxz/vx5nnjiCTZt2oSnpycTJkzgrbfeQqstWfmZXB+qPiU7i7ijxzl47BzRcTkctHiSpnHH6LDSXpvJbeHe3Na5JcFNGhdqmpmWl8XHO1fy3cGNBHv68XTPMQxs1hW1qvqdZw/H/8W0FZ/ikdEBN4fCy26naPXEFPD2dXVoopTKpQahspUQbdiwgdOnT3P69Gnq1KlTaNnVec/rr7/OuXPn0Gq1NGvWjG+++YaRI0eWaSxCVBbL9q3jg9+/podmGOdy3HnF/4IkB6LclfZZs7+rVavs23NbLBbuu+8+unbtymeffVZkud1uZ8iQIYSGhrJjxw7i4+N58MEH0el0vPnmm2Uej6icVF7e1O7cidqdOzEYUKxWzhw8xp+HzvBnvJ7/i9HiOHeK+vbd9PB30KNtBPU634a/uzfTb3+IMe0H8sGWKF786SO+3Ps//tlnPB3qNHf1zyoza49sZf6Pm9BbutHIHM+M1noC7nsRNDL4WXVWqhqEylhCVBGkhEhUFSsObmTOL5/RQ3MXZ3O8mOlznq5Tn5ATeQ0i56uilixZwrRp04rUIKxbt4677rqLuLg4QkJCAFi4cCH/+te/SE5Odj7ndj1yvKu/nKwc9u08wI5jcezK0pOn0lHHlkFPz3x6tI2gYfcuqDw82XPhKO9t/oqjiWfo2+g2pvUaU6UfZDbbLLyx/iv27bNhpTYjcg/x8H090UZ2d3Vo4haUSw1CZSwhEkIU+OHw78z55TN6ae7kdI43M7zP0XXK45IcCHENO3fupHXr1s7kAGDgwIE88cQTHDlyxNk09WrFdWIhqjdPb096DexBr4FgsdnZt/8k2/ac5McUD77eZSZ0+4/0dM+hd9u6fHXvdH4+d5CPti7n3sX/ZGTb/kzuOoIADx9X/4xSiUmL49lvvsSa3AhPh51/6vbS8dlHIVju42qKUiUIMkqmEJXTumPbeeXnj+mmupPTOX684H2enlMfhxK2oxaiJkpISCiUHADO6YSEhGK3eeutt4rtBlvUDHqthi63NafLbc2x2R0cPHyGbX8c5ZckIyv+tFFr54/09jbxUeRI/jBm8PGfP/LjkS081GkYD3Qcgpuu8neAsurgVj5fux+roxVd88/wj9v88bn7JSlsqmHk7kGIKm7d8R3M+Ok/dFIGEpPvx3SfC/SaKjUHonq6mXFyytL06dN59tlnndOXu8EWNY9WoyaybSMi2zZiit3BwUNn2LzzCD8mu/P11lzq2nKY5N+TPP8sFu34jm8PbuDJ7vdxd8s+aCrhM2GpuZnM+O4b4s75oVPq8IR1D4MfGYmqUUtXhyZcQBIEIaqwn4/vYMba/3CbYxAXTb687HuB7lMmS3Igqq3nnnuOiRMnXnedBg0alGhfoaGh7N69u9C8xMRE57LiSDfYojhajZrIdo2IbNeIp+0O9u4+wpY/81mdoSUvK4iOdn/CzUl8seZLluz+kcldRzCoWbdKkSgoisKyXdtYtfEkuUptuuf/xROtPAga+S8ZFbkGkwRBiCrqlxN/MGPtf4m0DyLO7MNMv4t0eVKSA1G9lWacnBvp2rUrb7zxBklJSQQHBwMFveN5e3vTokWLMvkOUfPoNGq6dG1Nl66tMZut7Nm+n837c9iV2wCzqin1zyezPmY93wV9z4j+wxnUrBtatWvO27vPnuGjVZtIzg2mts3As7q99HhiHNRt6JJ4ROUhCYIQVdAvJ/7gxR//QwfbABIs3rwSEMttT0wGF11khKiMzp8/T1paGufPn8dut3PgwAEAGjVqhKenJwMGDKBFixY88MADvPPOOyQkJPDyyy8zZcoUqSUQZcJg0NG9Xye69+uEKTefPzbvYsvhDHabO2LN1PLj1yfYqv2Nlp0bM7zPMLyNnhUS176YC3y8ZgvnM73wdPjwiHUf99zdB+1t4wqN9SBqrlJ1c1pTSTd2ojLZeHIX//rhv7Qx30GqzZNXaqUQ+cjDMs6BACrn+cpkMqFSqSr8pnvixIksXbq0yPxNmzbRp08fAM6dO8cTTzzB5s2b8fDwYMKECcydO1cGShPlKjczm52bdvHr0Tiibb7YUdPAGkcjr2z69mhPu869UZVxbbDJamfNH9H8vP04cVZvAmw53GU5xrB+HfDseydodWX6faJyKuk5SxKEEpALgKgsfjq6jVd++pxm5jvIt+l5rbGJlmPHSomPcKoM56vNmzezZs0atm/fztGjR8nPzwfA3d2d5s2b061bN4YPH+68Sa/KKsPxFlVbdkYmv67fxuaTSZxQAnGo1ITYMqmvy6ZNuC+3tWtJ7eZN0JRgXI6rORSF2NRc9h47y+a9JzidpcOq0tLGdJEu2jgGDOyBV5d+UvNcw1R4guCqEqKKIBcAURl8e+AX3l2/goaWO9DYFN5oryNi+L2uDktUMq46X1mtVj7++GPef/99YmJi8Pf3p0OHDjRo0AA/Pz8URSE9PZ2zZ8+yb98+0tLSqFevHs899xyTJ09Gp6uapZdyfRBlKSUji3Ubf+PYyVjiTJ4kaANQVCr0Dhu1ySLUCGE+7gT7e+Hu7obB3Q2tXofFZsdstZOelUdcWjYXMvI5b9KRhw614qCFOZ4mjlha1fOk4933Ywir6+qfKlyk3BMEKSESouJ8tmsNn/+2njDr7fjY8nmzVxAh/Qe6OixRCbnqfFWvXj0sFgsTJkxg1KhRdOjQ4brr7927lxUrVvDFF1+g1+uJiYmpmEDLmFwfRHkxWS1sP7GffX/uIyU2DYvJiEXlSbbak3S1JxZ10WZwPvY8QmzZ+Nmz8VbS8PUw06BBLZr3GkRYeBMX/ApR2ZRLgiAlRHIBEBVLURQ+2racH7fsw2jvQQNrGq/e0wrfDre5OjRRSbnqfPXxxx8zceLEUtciWywWFi9ezOTJk8spsvIl1wdRUfKtZk4kxRCTFk9aeiKZaYk4cvPRWO2gVvBx98DdNxCv4No0qdWI+v61K0U3qqJyKZcEQUqI5AIgKo7VbuPV9Ys4tDcVEx3oYz3Hs48MwlCvZH28i5rJleerr776ijvvvJOAgIAK/V5XkuuDEKIqKek5q1Sp5YwZM4iJiWHu3Lk3TA4AIiMjmTt3LjExMUyfPr00XyVEjZZtzuOJFXM5/acNEx14gFO8+Oz9khyISm3ChAmsX7/eOW2z2Th9+rQLIxJCCHEzSpUgTJ48mRUrVpCamlqqL9Hr9VW2+liIihaflcLEJW+QdzycXOox3ec84194HJVvzSmVFVXT3yukMzMzadq0Kb/99luRdQ8fPsyyZcsqKjQhhBClUOrGaVJCJET5iY4/xZOf/BtbQiR6Rcf77aDPU4/LcPeiyrpWK9aDBw/y4IMPVnA0QgghSqLUCYKUEAlRPr7dv4E3Pv2evLwudLAl8n/3t6bx3XfLGAdCCCGEqFBl8ni7lBAJcfMsNisvfbeINasvkq00Y5LuDLOeG4Vni9auDk0IIYQQNVDJxpIXQpSLi+lJzP58GfG5DQhVsnm/LTQbOgWkazpRRWVkZLg6BCGEELdIEgQhXGT5jo389Ms5ktWNGer4i0cnDccQXs/VYQlxS5566ilefvll2rdvT7NmzVCpVMTFxWGz2dBq5ZIjhBBVwU2draWESIibl5yVxdxPozieU4sAxY03GmYSef8UkJsnUcX9/PPPHDx4kOjoaA4ePMi2bdtQFIUJEybwyCOPUL9+fZo3b06zZs1ITk52dbhCCCGu4abuSKSESIjSUxSFr/63kR/3pJGnCuMu1VkemjwSY63arg5NiDIxYMAABgwY4Jy2Wq0cPXrUmTBER0ezc+dO1qxZA4BKHsAXQohKqdR381JCJETp7dx7hCX/20MMgXSwpPBAnwha9H9aeigS1ZpOp6Nt27a0bduWBx54wDk/MTHReR0RQghR+aiUa3VBVELFlRBFR0eTlJRU8AUqFXa7vUyCdZWSDkstxN+dOHWBhSu3cNTqS11LCnfUzuW+hx9BpTe4OjRRTcn5qmLJ8RZCVCUlPWfdcnsgKSESojBFUYjef5yoX/ZxwOpLbauDYe4HuP+JhwkMDHN1eEIIIYQQ11VuDwyEhIQUaY8qRHVmtdrYvPEPVu6N5aziSR2rnV663QwaM4TI/2fvvuOjqNYGjv9mtqUnkAaB0Eso0qVYAREQBVEBaYroRSyoiNcrWLChIKB49VUQlSIS8dpAsKIiFlBEhNCLEoGE9F62zrx/JFmICZCEJJsNz/f97DvtzO6TlTuzzzlnzulwy7nfQAghhBCiDvD6wdZbtGiBoiilXvPmzStVJi4ujssvvxwfHx+io6OZP3++h6IV9VH8oXiWLvmIic+vZeH2bPwK07lY2czo0c2Z9fiT9OzQ29MhCiGEEEJUWL0YcuiZZ55hypQp7u3AwED3ek5ODoMHD2bQoEEsWbKE3bt3c/vttxMSEsKdd97piXBFPZB2LIGff/idjfEFHNYDCXLpNHccpkFIEr2GDWV0tzsxGerF/7yEEEIIcYGpF79gAgMDadSoUbnHVq9ejd1uZ9myZZjNZjp16sTOnTt56aWXJEEQFadpJOzZx8/bD7EloZD9hGDQIcaVSVv9F1KaKlzW73qu7XiZJAZCVMDAgQOJiori0UcfpWPHjp4ORwghxGnOexQjT2vRogVWqxWHw0GzZs0YP348Dz74oHs+hltvvZWcnBzWrl3rPmfTpk0MHDiQjIwMGjRocM7PkFEqLkAuF7lH/2LnzkPsOJrGjnwLSYZALLqTGFKwKkfZYTpGTMv2jO0+mAFtLsagen2PPVEPeMv1Si3+34uqqowbN45Vq1Z5OKKq8ZbvWwghoBZHMTqb2qghuv/+++nRowcNGzZky5YtzJo1i5MnT/LSSy8BkJSURMuWLUudExkZ6T5WXoJgs9mw2Wzu7ZycnBqJXdQRmoaelkTCgSPsP3SCfcn57LdZiDc2RFcUmuBDK/9cgg2H+Nl5gEw/X0Z0upIHu9xLy1CZ5EyIqtA0jfz8fDZv3sz333/v6XCEEEKcpkYThJKL/po1aypVQzRz5kxeeOGFs5bZv38/MTExzJgxw72vS5cumM1mpk6dyty5c7FYqjbW/Ny5c3n66aerdK6ow6wFkJaMI+UkJ+ITOZqQwV9ZNo5ajRw2hZNt8AWCaWYw0ypcp5V/BvuVeH5P38dug4krWnXnhQ4PcFnL7viYzJ7+a4Sos2w2G9OnT2fMmDEMGDDgjOX8/f0ZNmwYw4YNq8XohBBCnEuNJghVrSF66KGHuO22285aplWrVuXu79OnD06nk/j4eNq3b0+jRo1ITk4uVaZk+0zPLcyaNatU4pGTk0N0dHSF4xe1TNOgIA+yMyAnC3Iy0bKzSE/LIDE1l8QcG4mFOgmaL4mmEI6bGuBUfIEmRBoctGykcnWoD0qIi+NKIr8e+4NtuWn4ahb6tejCnN73MKBNLwIsfp7+S4XwChaLhZUrV9KjR4+zJghCCCHqpionCDVZQxQeHk54eHiV4tq5cyeqqhIREQFAv379eOyxx3A4HJhMJgA2btxI+/btz/j8gcViqXLrg6gElwvsVrDbTr1stuJ9xfuthUU//gvyi5aF+bjy88gqcJBe6CLNppNuhzTVj3SDP+mGANIM/iSbgrEpjYBGqOiEB+tEBRjp1NCfYU1C8W9oItuZzJ6U/fx2fB9rE5MgEVo0jKJ/m15c0bo7vZp2xGw0efpbEsIr9e7dm6NHj3rs8+Pj43n22Wf57rvvSEpKIioqiokTJ/LYY49hNp9qAYyLi+Pee+/lt99+Izw8nPvuu4///Oc/HotbCCHqgionCHWhhmjr1q38+uuvDBgwgMDAQLZu3cqDDz7IxIkT3T/+x48fz9NPP80dd9zBI488wp49e/jvf//LokWLPBJzrdJcRT/CNQ1czuL14n0uJzgcpy0d4HSC8/Sl49R2qXJnKvuPfeW9Z3EioNtt2DWdQsVMvmqmUDFRqJrJVS3kGHzJUX2KXgYfcoz+RS9DQ3KUxuRiQkMp+tdrBEOATkOLSpi/idAgP3o0CCAyNJAmof5EBPvgIIc/M46zP+kvdiVv5/1dR8m1FQDQOrQp/Zp3YdqlN9MzugNh/iEe/U8mRH0xZ84cbrjhBiZPnkzbtm1r/fMPHDiApmm88cYbtGnThj179jBlyhTy8/NZuHAhIMNgCyHEmZzXKEb9+/fnkksu4fnnn6/OmCpsx44d3HPPPRw4cACbzUbLli255ZZbmDFjRqkWgNNriMLCwrjvvvt45JFHKvw5VRqlIjcLVr4Mug46oGunluig6UVL9zG96IV+av2fL00r/oH/zx/7p62fvqyuAaoMBjAY0Y0mbEYfCk2+FBh9KTBYKDT6UGCwUKBaKFDMFKomChQzBYqRQsVEgW6gAAMFuoFCXaVAK3oVauDSlTN+ZIDFQJCvmSC/016+ZgJ9TQT7mWkY4ENYkA+hgRaC/cxkFuaQmJ3K8axkjmYk8Fd6AkfTEziWlYRTcwEQFRRGh8hWdIxs6V428JNRR0T9UldG1bnssstIS0vj5MmTPPbYY4wZM4YWLVp4LB6ABQsWsHjxYv766y8AFi9ezGOPPUZSUpK7VWHmzJmsXbuWAwcOVOg968r3LYQQFVHRa9Z5JQg//fQTN9xwA1u2bPFIDVFtqXKCsHwRKICiglL8Y7hkKMySfSXHoXhbLdqHAqpSvCw+bjCAWvwyGMGggsGISzHgVA04FAMODDiK150YcKAUr6vYdBWrrmDVFKy6SqGmYNMUrBpYXQpWF1hdetHLqVHo0LA6NawOF1a7kwKbC+0s/1xURcHPYsDXbMTPYsSveOneLt7nW7zPv5xj/j5GAn1N7iFDdV0n25pHal4W6QVZpOZlkpafRWJ2Kok5qSRkp5CYk4rN6XDHER7QgFYNm9AytIl72TYsWpIBcUGoKz9Yr776anbv3k1KSgoAiqLQuHFjunbt6n516dKFDh061FpMjz/+OF9++SXbt28HZBhsIcSFp1aGOZ05cyahoaH06tWrztQQ1RXp+DBDuRIdoKTxQNdPLYt/Zxc1MJza1tzHdHfjA8VlihodSt6jqLxL08/wo10HnMXrjjJHVUXBx2zAx2QoXhrxLdm2GAgKNGJxHzvLj/6SbYsRi1FFUc7cKuDUXOTZCsi25pFjzSfHmkmWNZ+/M4u2S/ZnW/NIy88iLT+T9PxsdwtAiQCzL42DwmkSHE6/Fl1oEhxBVFA4TYIjaBIcLg8TC1EHbNy4EYDU1FTi4uLYvXs3cXFxxMXF8fLLL2O1WlEUBZfLdY53qh5Hjhzh1VdfdXcvAhkGWwghzuS8EgRfX1+ysrLIzc1l5syZzJo1y+M1RHWFj8nAlZ2iihoIFMXdKKCgnGo4UBR3w0JJGaW44D/LFO0+VaZkW1UUzEYVk0HFaChamowqRoOCyaBiNhqKjymYjad+8BtVpSiF0JzYXU7sTnvR0uXA7nRgdzmwOR04XA7sLpt7PdflIK3AgSO36Hihw0aBw0qhw1q0brdS4LBSYC/aLnRYKSjeb3eVTVQAjKqBIJ8Agnz8CfbxJ8gngHbhzbikRRfC/ENKvUL9Q/A1yQPkQniL8PBwrrrqKq666ir3Pk3TOHz4MLt37670+1VmGOwSCQkJDB06lNGjRzNlypRKf+bpZBhsIcSFoFpmUi6vhmjfvn21XkNUU6rShJxVmMvLP8Se1mqguVsLtOJnDXS9aF0vfhZB0zWKjxS3MhSdqxU/v1Byro6OS3Ph0jRcmgtn8cu9rZ9ad2kaTs2Js2RbL9lX9f8mBkXFZDBhMZrwNVnwM/nga/Zxr/uZfYr2mSz4mX3wLV73NVkItJxKAkqWvibLWVsehBAVV9+7vKSmppKenn7WMq1atXI/U5CYmEj//v3p27cvK1ascM/gDFXrYlReC0J0dHS9/b6FEPVLrc6kXN01RPWBS3NxOPUYSnEtv4LirvEv3kJR1OLWAKW4paDoyKnyoCoqBkVFUU8dVwCjwYhBVTEoBoxq0cugGjCoavG6ilE1ntpWivYZ1NPLF22bDSbMRhNmg/G0dRMWgwmTwYTZaMRiMGMyGDEbTRhVg6e/XiFEHdOxY0dmzpzJ2LFjSw0jejY2m43Y2FgWLFjAvn37KnROZYbBTkhIYMCAAfTs2ZPly5eXSg5AhsEWQogzqZYWhPquvtfICSHqD09dr+bPn8/8+fNxuVyMGDGCQYMG0aNHD1q2bImfX9FzQfn5+Rw9epTt27fzzTffsH79esxmMw8//HC1zz2QkJBA//79ad68OStXrsRgOFWxUTJJZnZ2Nu3bt2fw4MHuYbBvv/12Fi1aVOFhTuX+IITwJjUyilFt1RDVNXIDEEJ4C09er3Jzc3n77bdZsWIFcXFx7q6DRmNRY7XTWTRwgq7rdO7cmdtvv53bb7+9RuJcsWIFkydPLvfY6bc9jwyDLYQQHlIjCUJdqyGqLXIDEEJ4i7pyvYqPj2fLli0cOHDA/cxAaGgoMTEx9OvXr8zoQd6qrnzfQghRETU2D0JdqiGqLXIDEEJ4C09erwYNGsS9997L9ddfX6a/f30l9wchhDepsQQhMTGRqKgoQGqIhBCirvHk9app06acPHmSqKgo7rzzTqZMmeLu719fyf1BCOFNaixBCAgI4IEHHmDmzJkEBgaed6DeQG4AQghv4cnrlaZprFu3jsWLF/Ptt99iNBoZOXIk9957L1dccUWtxlJb5P4ghPAmFb1mVboN+PLLL2fu3Lm0atWKRYsWYbfbzytQIYQQ9YOqqtxwww18/fXXHDp0iPvuu49vv/2WAQMG0LlzZ15//XXy8vI8HaYQQohzqHSC8MUXX7B582bat2/PQw89RLt27Vi1alVNxCaEEMJLtW7dmoULF5KQkMDy5csJDAxk2rRpREVFcc8991ywc+QIIYQ3qNJTZJdffjk//fQT69evp0GDBkyaNInu3bvz5ZdfVnd8QgghvJjFYuHWW29l69at7Ny5kwkTJvDuu+/SrVu3etvtSAghvF21TJS2Zs0aZs+ezZ9//smVV17J/Pnz6dWrV3XEVydIH1MhhLfw5PVq586d5OTkkJOTQ25urnv9n9snTpxg27ZtKIqCy+Wq1Rirm9wfhBDepKLXLGN1fNjYsWMZPXo0y5YtY86cOfTp04ebbrqJ5557jrZt21bHRwghhKjjevTo4R762mAwEBgYWO6rQ4cO9O7d+4IZ6EIIIbxNtSQIUHQzmDJlCpMmTeK1115j3rx5dO7cmTvuuIPXX3+9uj5GCCFEHdW6dWv+/PNPOnXqxIwZMxg/fjwWi8XTYQkhhKikap3JJi0tjV9//ZWAgABGjBiBpmm88cYb1fkRQggh6qjDhw/z5Zdf0qZNG+68806aNGnCI488Qnx8vKdDE0IIUQmVbkHQdZ2jR49y4MAB9u/f714ePHiQjIwMdxmz2UyHDh3o2LFjtQcthBCibho8eDCDBw/m+PHjLF26lLfffpsXX3yRoUOHct999zFkyBBPhyiEEOIcKv2Qsq+vr3vuA13X8fX1JSYmho4dO7oTgo4dO9KmTRtUtVobKDxGHkITQniLuna9cjqdfPTRRyxevJgffviB1q1bc8899zB58mRCQkI8Hd55q2vftxBCnE2NzaQ8efJkdxLQsWNHWrRo4X4orb6SG4AQwlvU5evV/v37Wbx4Me+88w5Op5Px48ezdOlST4d1Xury9y2EEP9UYwnChUhuAEIIb+HJ69X27dsrNMxpYmIi27dvl2FOhRCiltXqMKf1XUkOlZOT4+FIhBDi7EquU56o++nduzeKopT72WazmaCgIIKDgwkODmbAgAEEBwfXeozVTe4PQghvUtF7hCQIFZCbmwtAdHS0hyMRQoiKyc3NrfUf4MuWLXMnAMHBwaUSgvo63KncH4QQ3uhc9wjpYlQBmqaRmJhIYGBgpZ63yMnJITo6muPHj3tN07M3xgzeGbc3xgzeGbc3xgxVi1vXdXJzc4mKiqo3A0XUZRfS/QG8M25vjBm8M25vjBm8M+6qxlzRe4S0IFSAqqo0bdq0yucHBQV5zT+4Et4YM3hn3N4YM3hn3N4YM1Q+7vrQdcdbXIj3B/DOuL0xZvDOuL0xZvDOuKsSc0XuEVK9JIQQQgghhHCTBEEIIYQQQgjhJglCDbJYLDz55JNe9XCeN8YM3hm3N8YM3hm3N8YM3hu3ODdv/W/rjXF7Y8zgnXF7Y8zgnXHXdMzykLIQQgghhBDCTVoQhBBCCCGEEG6SIAghhBBCCCHcJEEQQgghhBBCuEmCIIQQQgghhHCTBEEIIYQQQgjhJgmCEEIIIYQQwk0SBCGEEEIIIYSbJAhCCCGEEEIIN0kQhBBCCCGEEG6SIAghhBBCCCHcJEEQQgghhBBCuEmCIIQQQgghhHAzejoAb6BpGomJiQQGBqIoiqfDEUKIM9J1ndzcXKKiolBVqQOqaXJ/EEJ4k4reIyRBqIDExESio6M9HYYQQlTY8ePHadq0qafDqPfk/iCE8EbnukdIglABgYGBQNGXGRQU5OFohBDizHJycoiOjnZft2pLRkbGeZ0fHByMwWCopmhqj9wfhBDepKL3CEkQKqCk2TgoKEhuAEIIr1Db3V3CwsLO6zM3btzIwIEDqzGi2iH3ByGENzrX9bpSCYI31xC99tprLFiwgKSkJLp27cqrr75K7969PRKLEELURyNHjqRLly6VOic/P58XX3yxhiISQghRFZVKELy1huj9999nxowZLFmyhD59+vDyyy8zZMgQDh48SERERK3HI4QQ9dFNN93E+PHjK3VOeno6CxcurKGIhBBCVEWluxh5Yw3RSy+9xJQpU5g8eTIAS5Ys4bPPPmPZsmXMnDnTY3EJIUR9sWjRInr16lXp8wICAli0aBHt27evgaiEEEJURaUTBG+rIbLb7fz+++/MmjXLvU9VVQYNGsTWrVvLPcdms2Gz2dzbOTk5NR6nEKL22JxOcvLzyM3NpjA/H2uhFWuhDXvx//YdNjsOlwuX04XT5cLl0nBpRUtd09A0HV2naKlpuHTQXTo6OrquowPoFG9T9CragU7RdvGeoh0lC9296V657pp+XHRRt9r7cqrogQceIDMzs9LnWSwWHnjggRqISAghRFVVKkHwxhqitLQ0XC4XkZGRpfZHRkZy4MCBcs+ZO3cuTz/9dG2EJ4SoIpvTzrG0kxz7+zhpyankZOWSm2uloMBFoV3H5lKwawbsugEbJqyKGatixq4YcSrnehZKLX6ZzhmHqmsY0FB1HQUdBVCKf90r6Cj6qbKl9nP2/UpRFkGvxCQuuuicYdQJjRo1YtiwYUyYMIHhw4djsVg8HZIQQogqqFSCcKHUEM2aNYsZM2a4t0uGhDpfX331FUOHDj3j8ZUrV3Lrrbee9+ec7rbbbmPlypVnPH7ixAmaNGni3rbZbMyePZtVq1aRmZlJly5dmDNnDldfffU5P2vFihXublw//vgjl112Wanjuq7TrFkzTpw4wbXXXsuGDRsq/HeMGDGCb775huTk5DMOzTVhwgQ++OADTp48SWhoaIXfW9RNmq6RnJvBgRPx/LnvECknM8nNcVJgN5KLH9lKIHkG3+LSZiAUo+4iSCvEX7fhgwOL4iLQYMdisGI2KviYFEwmA2ajAYvZiMVswmwxYTabMFvMWHwsRUuLBZPJjNlswmgy4WMyYzKZMZlMGI0mVKPBva544dCcNWXUqFF8+umnfPrppwQGBnLjjTcyYcIEBg4cKJOICSGEF6l0FyNvqyEKCwvDYDCQnJxcan9ycjKNGjUq9xyLxVIjf9euXbsAeOWVV2jQoEGZ40OGDKn2z5w6dSqDBg0qtU/Xde666y5atGhRKjmAooTiww8/ZPr06bRt25YVK1YwbNgwNm3aVOYH/5n4+PgQGxtbpvzmzZs5ceJElb7bCRMmsH79ej755JNyk6iCggLWrVvH0KFDJTnwQjannUOpx9j110H+3nuUzGQbuQ5/MtUGZBsCgGBUPZAwVx4NKaC5yUZDPwfhDfyIDGtAo0aRRDWJIig8DMVk9vSfc8FavXo1hYWFrF27ltjYWFavXs3KlSuJjIxk3LhxjB8/np49e3o6TCGEEOdQ6QTB22qIzGYzPXv25Ntvv2XkyJEAaJrGt99+y7Rp02o1lri4OIKDg5k2bVqtfVf9+vWjX79+pfb99NNPFBQUMGHChFL7t23bxpo1a1iwYAH//ve/Abj11lvp3Lkz//nPf9iyZUuFPnPYsGF88MEHvPLKKxiNp/6JxcbG0rNnT9LS0ir9d4wYMYLAwEBiY2PLTRDWrVtHfn5+mb9J1E0FditxJw/zy6HdHN99jMIsM1lKI9KNwUBLGrryaW7IprN/Di0bG+gQ05pm7dpgquXJv0Tl+fr6Mm7cOMaNG0dmZib/+9//iI2N5eWXX+bll1+mbdu2TJw4kfHjx9OqVStPh+smQ2ELIcRp9CooKCjQY2Nj9euuu043m826qqp648aN9RkzZujbt2+vylvWqDVr1ugWi0VfsWKFvm/fPv3OO+/UQ0JC9KSkpAqdn52drQN6dnb2ecXRuXNnvX///uf1HtXh7rvv1hVF0Y8ePVpq/8MPP6wbDIYyf+fzzz+vA/qxY8fO+r7Lly/XAf2DDz7QFUXRP//8c/cxm82mN2jQQH/xxRf15s2b69dee22pc0+cOKFPnjxZj4iI0M1ms96xY0f97bffLlVm0qRJutFo1JOTk8t89nXXXacHBgbqBQUFFfkKhAck5aTp7//xlf7A8nn61NnP6pOeWKYPeXq9PviZDfqU2e/oL817U9+4Zq2etO+Arjkdng7Xa1XX9aq6nThxQp8/f77evXt3XVEUXVVVvV+/fp4OS9f1onuE2WzWly1bpu/du1efMmWKHhISUu615p/q6vcthBDlqeg1q0ozKXtbDdHNN99Mamoqs2fPJikpiW7duvHll1+WeXC5Jtntdg4ePMhll11Wbg16cHAwJlPpByIdDgfZ2dkVev+GDRuiquo5yzkcDv73v/9xySWX0KJFi1LH/vjjD9q1a1dmNtCSWrSdO3dW6FmMFi1a0K9fP9577z2uueYaAL744guys7MZO3Ysr7zySqnyycnJ9O3bF0VRmDZtGuHh4XzxxRfccccd5OTkMH36dKCom9HKlSv53//+V6r1JyMjg6+++opx48bh6+uLqDvS8rP4Yv/PfPf7NowJBqxKS1KMnfFXbXQ3ZDKuhZ1efS4itE0bqIMtkKL6NGnShIcffpihQ4cye/Zs1q1bx6+//urpsAAZClsIIf6pSgnC6Ro0aMDUqVOZOnUqCQkJxMbG8t577zF79myefPJJ+vTpU+GuKTVp2rRptd6l6HT79u3D4XCwZMkSlixZUub4wYMHadeuXal9P//8MwMGDKjQ+x89erTMD/7yfPXVV6Snp5fbFefkyZM0bty4zP6SfYmJiRWKBWD8+PHMmjWLwsJCfH19Wb16NVdeeSVRUVFlyj722GO4XC52797tfn7grrvuYty4cTz11FNMnToVX19fBg4cSOPGjYmNjS313/KDDz7A4XBI96I6wuFy8u3hbXwa9wOZBzPwc7Yl0dgbP4OdPqZM7u2g0mPAVZhDgj0dqqglx44dc98b9uzZg67rXHLJJXXif7OVHQpbhsEWQpyJzeGk0GbHVpiPzVqI1WHDYXdgt9twOJzYHHacThcup4bL5cTl1NBcrqLhs4uXuqah6zourWiMbK34Rck+dDStaF9AgB+jbrqxRv6W804QTleXa4g8LS4uDiga6eefDwYDtG3btsy+rl27snHjxgq9/5keuP6n2NhYTCYTY8aMKXOssLCw3AeIfXx83McrasyYMUyfPp0NGzYwdOhQNmzYUKblAIoemP7oo48YM2YMuq6Xal0ZMmQIa9asYceOHVx66aUYDAbGjh3LokWLiI+PdydEsbGxREZGctVVV1U4PlH90vOz+TDuG9Zu30xUWiTZantyVV+ilFQmtLZz6dArsDSUB8gvFGlpae7W5a1bt6LrOjExMTzzzDNMmDChQhUataGyQ2HLMNhC1D+FDhtJWRkkJCWRkpRKTnomebkFFBbaKbC5sDnA7lKxaQacuopTN+Cg+KUYsRe/XOccQvtsDMWviot2pjHqpvP4yLOotgShLtcQ1QW7du3CaDQybtw4zOaKjbLSoEGDMiMQnY+8vDzWrVvHkCFDyh3px9fXt1TNWAmr1eo+XlHh4eEMGjSI2NhYCgoKcLlcjBo1qky51NRUsrKyWLp0KUuXLi33vVJSUtzrEyZMYNGiRcTGxvLoo49y4sQJfvzxR+6//34MMtykR8RnJPL2r+v4cfcO2uW3x2C4igzVxWC/bK69PJpmva+BCnR/E94vPz+fTz75hNjYWL799lscDgeNGzdm+vTpTJgwgR49eng6xPNWU8NgCyFqjs1p56/URPYdOcyJ+ASy0vPJzYc8h5lC3UKu6k++6nPaGQFAABbNgb9mw0+34YsDH8VBgOLAaNQxq2BSwWRUMBlVzIaipdFkQDUaMZqMGIwGjEYDJoMBk9GIyXhqn8FgwGgwoBavqwYDqsGIoqqoBgMGVUFVDaiqiqqoGAwlSwOKQcWgqhgM1VrPX8p5vbO31BDVBXFxcbRs2bLCyQEUNX1nZGRUqGx4ePg5fyCvXbu23NGLSjRu3JiEhIQy+0+ePAlQbvegsxk/fjxTpkwhKSmJa665hpCQkDJlNE0DYOLEiUyaNKnc9+nSpYt7vWfPnsTExPDee+/x6KOP8t5776HruiSiHnAsM4mlWz9m8+4ddCrsgq86gizFxsQG2Qy/YSD+TZt6OkRRyyIiIrBarQQEBDB+/Hj3CHcVeT7KUyo7FHZNDYMthDh/uq6TnJvO9r8PsX/3AdITssnNN5Oph5BhCEJXVCAcixZCI1c2oUohzcx5BPkWEhroQ8MGgUSGhxIZ1ZjQyEjMAYEXbAVXpROEC6GGqCbExcXRt2/fSp2zZcuWan0GYfXq1QQEBDBixIhyj3fr1o1NmzaRk5NT6kHlkm5i3bp1q1AsJW644QamTp3KL7/8wvvvv19umfDwcAIDA3G5XBVuLZkwYQJPPPEEcXFxxMbG0rZtWy6++OJKxSaqLjk3ndd+/oCvdm+le2EXghhBDlbuishmyA2D8ImsWHc3Uf8MGjSICRMmMGLECHfXxLquLg2FLYSoHF3X+Ss9gR8OxXFg5yFyU1zk6OGkGkOBSHy0BjTXMuhmzqZpQxstm0XRpk1LQps3RfX193T4dVqlEwRvrCHytKSkJFJSUoiJianUedX5DEJqairffPMN48aNw8/Pr9wyo0aNYuHChSxdutQ9D4LNZmP58uX06dOn0s3oAQEBLF68mPj4eIYPH15uGYPBwE033URsbCx79uyhc+fOZeIODw8vta8kQZg9ezY7d+7kqaeeqlRcomqsDjsrt69n2db1dCpoS5Q2kmQdJoakc8PYayQxEKxbt67MPpvNxo4dO0hJSeHSSy8lLCzMA5Gd3YwZM5g0aRK9evWid+/evPzyy+Tn57tHNRJC1B0Fdis/H93Ft3/8TsbhLKzOSFIMkehKWxrr2XQy5tC5sUq3i9rR5KKOqH4Bng7ZK1U6QfDGGiJPK5lBOTU1lXfffbfM8a5du3LRRReV2V+dzyC8//77OJ3Os3bF6dOnD6NHj2bWrFmkpKTQpk0bVq5cSXx8PG+//XaVPvdM3YZON2/ePDZt2kSfPn2YMmUKHTt2JCMjgx07dvDNN9+U6WbVsmVLLrnkEvePEeleVLN0Xefrg7+waPNq1HQD7Z1DScKPa03JTLjxCkLat/d0iKKOeuWVV3jqqafcwzVv3LiRgQMHkpaWRkxMDPPnz+f222/3cJR1YyhsIcSZWR12vj28ja92bSP7cCFWrSVZhub4aI3ppqQwrnE2F/fuRFjnoSDPI1aLSicI3lpD5EklIxgtX76c5cuXlzn+zjvvlJsgVKfVq1cTERFxzoTjnXfe4YknnmDVqlVkZmbSpUsXNmzYwBVXXFFjsUVGRrJt2zaeeeYZPv74Y15//XVCQ0Pp1KkTL7zwQrnnTJgwgS1bttC7d2/atGlTY7Fd6BKyU3h241ts/+sg/ZyXcsjVhDBXCs9c1YQWlw+XuQvEGS1fvpzp06czduxYBg8eXCoRCAsLY+DAgaxZs6ZOJAjg+aGwhRCl6brOvuS/+Gjn9+z+42/8rM1IMrbHT7dziZJE//Z+dO1/CeYISeRrgqLrun4+b+AtNUTnIycnh+DgYLKzs8tMIiZEfaTpGmv++JpXfniPtraWFNi6omgaUxoXcPWtN0rfzTqsrlyvOnfuTNu2bfnkk09IT08nPDycb775hoEDBwLwwgsv8Morr5Q7MII3qSvftxD1hVNz8fXBrazc+iXG4z4U0IFCxUJXZxJDWgZwydX98Gna3NNheq2KXrPOaxQjb6shEkKcW3xGIk9+uYQ9J/7mEtcADjnDGUgCd429guBKPkcjLlxHjhzh/vvvP+Pxhg0bkp6eXosRCSHqsgK7lU/2bCJ263c0SG1MntobIy6GGJMZeVkMUZfeBsaaG9ZTlHZe3/SLL77I9ddfT2xsbLkX+p49e5Y7OZYQou7RdZ2Pd3/H/O/eoa2rFa2s15OsaTzRMofLJkwGo8nTIQovEhISUmriw3/at29fhSd4FELUX3ang//t2siynz+nSUZLNPUKNL2ASQHJXHPd5QS2u8HTIV6QzitBkBoiIeqHrMJcnv56Kd8d/J2BylXsszbiEi2RB0b3I6RT53O/gRD/MGzYMJYuXco999xT5tjevXt58803pXVZiAuYpmt8vv9n/u+HjwhJboSfcjVWHNzhn8jwG6/C0lKeL/Sk80oQpIZICO/327G9zPr8/zAUmOllv54/XRZmhCcz+PaJKD4Vnz1biNPNmTOHPn360LlzZ4YPH46iKKxcuZJly5bx0Ucf0bhxY2bPnu3pMIUQHrAr8RBzNi4j/zj4a5djReVmUwI3jr4K/zYyMl5dcF4JgtQQCeG9dF1n+bZPefWnNfQzXcyJvNaozlxeuTKMFleN9HR4wstFRUXx+++/8+ijj/L++++j6zqrVq0iMDCQcePGMW/ePBnxTogLTI41j5d/eI/Pd2wnxt6PHCWci51/M2VIZ0IvGSkj49Uh5zWKUWJiIn369EHXdYYPH87SpUuZOHEiLpfLXUO0bds2r78JyCgVor7JseYz+8vFfH/oD64yDGFPQSiDtWPce/swfKJldAhvVlevV6mpqWiaRnh4eL2aWLOuft9C1CW6rvPFgZ9Z8N1qwjNbkqt1oIkzm2ntjXQbfQOYLZ4O8YJRK6MYSQ2REN7nQEo8//50EQU5Ot0d13O40MzD4ckM+tftcpEWNeafM6ILIS4MmQU5PP31m/x64BBtHFeSoQdwi/oXo+8ciUmGK62zznu8qIiICN566y3eeuuteltDJER98emezcz55i06GGIw53VCdeXzf5c3oNmgkZ4OTdQDI0aMqFR5RVHKnXxTCFE//PTXHzz55VJCs5vR0HEtfs4snupmp/XIaaDKjMd1WbUOKCs1RELUTU7NxaLN7/Lu9i+42ucq9mQ2prcrkUdu6Y9/m3aeDk/UExs2bMDHx4dGjRpRkd6rivQ3FqJesjrsLPphNf/7fTNdHFeR4gphlBLPLXeOwCytBl5BZpwQop7LsebzyIZX+PXoPq5SR7A7K5gJxngmTh+PGtTA0+GJeqRJkyYkJCQQFhbG+PHjGTt2rIxkJ8QF5kRWMg99uoj0JDutbSNwOB3Mb5HGRROngsns6fBEBVU6QZAmZCG8x9+ZJ7n/kwXkZDvo7hjBXw4jT0alcsnkqTIjpah2x48fZ/PmzcTGxvLss8/y8MMPc+WVVzJhwgRGjRpFYGCgp0MUQtSgzX/+zmOfvU7zwo4Ybe1p60jkkWs7EdL3Uk+HJiqp0qMYqapa6Sbkv/76q8oB1gUySoXwRr/8vZuH179MU60ZtuyuBDsLeOqSUJoPGeLp0EQNqivXK4fDweeff05sbCwbNmxA0zSuueYaxo8fz/Dhw7FY6scD8XXl+xbCk1yaxuItH/DW1g10c15NkqMht6h/MnbqzRjCpRWxLqmxUYykCVmIuk3Xdd7f+TXzv11JP+Ml/JXTnJ7OJGaOv4SAmE6eDk9cIEwmE9dffz3XX389eXl5fPzxxyxZsoSbb76Zp556iieeeMLTIQohqkGerYCZG15l259H6OwYQa5D5bnIE/T8193SpciLVXqooePHj7Np0ya6d+/Os88+S3R0NIMGDWL58uXk5ubWRIxCiApyuJw8983bzP3mHS7Vh3IktyWj1b95evoNkhwIj7DZbHz11VesW7eOP/74Ax8fH1q0aOHpsIQQ1eBEVgq3xs7m8F9pNLVdi8Vm45VeRnreJc8beLsqjUV65ZVX8sYbb5CUlMSHH35IaGgo06ZNIyIightvvJEPP/wQm81W3bEKIc4iqzCXuz58nvU7f+Fixwj+LgjisdBEbn/kTgwNZT4SUXs0TeOrr77itttuIzIyknHjxlFYWMibb75JSkoKt9xyi6dDFEKcpx0nDjDx3ccwpoehFl5BjD2F/47qRJPrrpcZkeuB85qsoKQJ+f333yc5OdmdNNx8883Mnz+/umIUQpzDn2knmPDuYySfyKOZdRh2m8aiHipX3P0vqcURtWbLli1MmzaNxo0bc+2113LkyBGef/55EhMT+fzzz5k4cSL+/v6eDlMIcZ4+2/cTd/7vOZpZe5NdeBHXO//k2XuGEdClu6dDE9WkWoYx8VQTcnx8PM8++yzfffcdSUlJREVFMXHiRB577DHMZrO7TMuWLcucu3XrVvr27VvjMQpR0374cwczP3uVto4OpOZ3oIUzhcdv6k5w1x6eDk1cYC677DJ8fX0ZNmwY48aNc98Hjh07xrFjx8o9p0cP+XcqhDdZ+dt6Fn3/Pt0YRkphINOVPVzz76kQFOLp0EQ1qnKCoGkaGzdu5L333mPt2rUUFBQwaNAg3nzzTW644YZaqSU6cOAAmqbxxhtv0KZNG/bs2cOUKVPIz89n4cKFpcp+8803dOp0qg92aGhojccnRE3SdZ0Vv63nv5vfp5/en79sUVzPUe689yaMkY09HZ64QBUWFvLRRx/x8ccfn7WcrusoioLL5aqlyIQQ50PTNV76fjWrt39LF9cIsmwmng04SM9pD4DFx9PhiWpW6QRhy5YtxMbG8sEHH5Cenk7fvn15/vnnGTNmDGFhtdvPeejQoQwdOtS93apVKw4ePMjixYvLJAihoaEy2pKoN2xOO898/SZf7NnGxc5rOeYM4MHAYwy9519yoRYes3z5ck+HIISoAQ6Xk9lfLubrPXF0cA3HYXOxsGkSbW5/EAwGT4cnakClE4S63oScnZ1Nw4YNy+wfMWIEVquVdu3a8Z///KfSE74JUVek5mXy4LoXSUzIob1tBHkuFws6Wuk4+i55MEx41KRJkzwdghCimuXbC5mx7iV2xyfT0nEtvvY8nutioNFNcs+pz6rUxaiuNiEfOXKEV199tVTrQUBAAC+++CKXXnopqqry0UcfMXLkSNauXXvGJMFms5UahSknJ6fGYxeiIvYm/cn0T14kNKcJvrbeRDjTeWJYe8L6XuLp0IQQQtQz6flZ3PvxC6Qm64RZB9HUlsLTA6MJHigTbtZ3lU4QaqMJeebMmbzwwgtnLbN//35iYmLc2wkJCQwdOpTRo0czZcoU9/6wsDBmzJjh3r744otJTExkwYIFZ0wQ5s6dy9NPP32ef4UQ1WvDvh955qtlXFTYlxOuplyvH2XKXddjior2dGhCCCHqmWOZSdz94fOo2RGYC7rSw3aMmaN749PtYk+HJmqBouu67ukg/ik1NZX09PSzlmnVqpV7pKLExET69+9P3759WbFiBap69tFbX3vtNebMmcPJkyfLPV5eC0J0dPQ5p6UWoibYnQ4Wfr+KT7f/QhvHQHI1Cw+Gp9P/X7eA2eLp8EQdk5OTQ3BwcK1fr7p06cK8efMYNmxYpc7Lzs7m8ssv56233qJ37941FF3N8dT3LURN2pf0F/d+9ALhhTFkF7bjWtsh7r39Wgyt2nk6NHGeKnrNqpZhTqtbeHg44eHhFSqbkJDAgAED6NmzJ8uXLz9ncgCwc+dOGjc+8ygvFosFi0V+eAnPS8pJ49/rXybrbxcRzmH4OnN5/tIGNBtyg6dDE6KUPXv2kJ2dXenznE4ne/bsIS8vrwaiEkJU1tb4OGasXURre19SbU25zbGXsfffghIho+NdSCqVINS1GqKEhAT69+9P8+bNWbhwIampqe5jJSMWrVy5ErPZTPfuRZN3fPzxxyxbtoy33nqr2uIQoib88vduZn76Gi2yLsJBCwa6jnH/bVfj26qNp0MTolzTp0/nscceq9Q5mqah1NCDjs899xyfffYZO3fuxGw2k5WVVabMsWPHuPvuu9m0aRMBAQFMmjSJuXPnYjTWyfozIWrU5/t/4onPl9LJcRVp9oY8ZNjL4IenQmCwp0MTtaxSV8C6VkO0ceNGjhw5wpEjR2jatGmpY6f3nHr22Wf5+++/MRqNxMTE8P777zNq1KhqjUWI6uLSNN7+dS2x339LI8cAsnUz/wlNZOAdt6L4yiy0om463xGMoqKiqimSU+x2O6NHj6Zfv368/fbbZY67XC6uvfZaGjVqxJYtWzh58iS33norJpOJ559/vtrjEaIue2f7Zyza9AGdHdeQ4/Dh6aA/ufie+2Xo7AtUpZ5BUFWV8PDwSk+Cpmkax48fZ+PGjQwcOLDSQXqa9DEVteVkThqPfvY6eYdV8uhKe2cajwxqSeMr+ns6NOEl5HpV1ooVK5g+fXqZFoQvvviC6667jsTERCIjIwFYsmQJjzzyCKmpqe7n3M5Gvm/h7TRdY9Hm1az+dTPtnENR7BrPNM+i7W13gCpzHNQ3NfIMQl2sIRKivvjqwFZe+ux/hOb1IE8JYZzpOBPuGYUhLMLToQlRL23dupWLLrrInRwADBkyhLvvvpu9e/e6u6aeTobBFvWJ3eng8S9e54d9h2lhv5YARx5zevjQ6PopMsfBBa5SCYLMkilE9cux5vHCt+/w1/ZsVGUgIa4MnrlYoc21d0EFHroXQlRNUlJSqeQAcG8nJSWVe44Mgy3qixxrHg+ufZGjfxcQZhtMS3syTw5tTdBl3tfTQ1Q/+fUhhAd9d/g3bnvtef78LZhcpRO3Wk7wyrQhtBl+nSQHQpRj5syZKIpy1teBAwdq7PNnzZpFdna2+3X8+PEa+ywhasrJnDQmvfcU6fEqZtvl9LUfY+6EvpIcCDcZpkEID0jPz+K59e+Qvt9AvvFSWmtJTLs0guaDZOp6Ic7moYce4rbbbjtrmVatWlXovRo1asS2bdtK7UtOTnYfK48Mgy283YGUeKZ9+ALh2TFkONtwo/MQU+4dhdpYJt0Up0iCIEQtcmouVm/7ik0bd5OmxxBCIY9GZXLFuJtR/AI8HZ4QdV5l5sk5l379+vHcc8+RkpJCRETRsz4bN24kKCiIjh07VstnCFGX/PjXHzyy/nVa5l9ChjOMewwHuf7hO2QYU1GGJAhC1JIf/9zF6g++JtnWCicx3Gg5yfgJ1+AT3dzToQlRLx07doyMjAyOHTuGy+Vi586dALRp04aAgAAGDx5Mx44dueWWW5g/fz5JSUk8/vjj3HvvvdJKIOoVXddZ8dt6Xtu0nrb2q7C6TMwJjafnXdPAdO7RusSFRxIEIWrYgZPHePv9tRzNakSB2p5B6gkmDe9HaLfrPR2aELXCarWiKEqt/+iePXs2K1eudG+XjEq0adMm+vfvj8FgYMOGDdx9993069cPf39/Jk2axDPPPFOrcQpRk6wOO09/vZSf444Q7RiGnzOfBV0Vmt44Tbq0ijOq1DwIFyoZ51pUxe6//2T1B19xKD+CQsXCZdpxbh/Wk8YX95aLsqgxdeF69f3337Nu3Tp+/vln9u3bR2FhIQB+fn506NCBSy65hJEjR9K/f3+PxFed6sL3LcSZJOemM33tSxQcC8DmuoiejgRmjexGQM8+ng5NeEiNzINwNp6qIRKiLtF1nc2//c5n3/7OfkcjDHpjLlMTGDu4F9G9r5PEQNRbDoeDN954g5deeon4+HgaNmxIjx49mDhxIg0aNEDXdTIzMzl69Cjvvvsur7zyCs2bN+ehhx5i6tSpmEwmT/8JQtQrP/y5gyc+f5uorO7Y9EZM1A4y7p6xGBo38XRowgtUOUG4kGqIhDiX7Oxc3vvoc3455uCkoQENnSEM9f2bcaOvIbT1DZ4OT4ga16ZNG+x2O5MmTWLMmDH06NHjrOV///13PvjgA55//nkWLlxIfHx87QQqRD3ncDl55cf3WLt1G40c/dE0mBtxjO633wM+vp4OT3iJSnUxOlMNUatWrcrUEO3YsYOMjIx6UUMkTciiPLnZuXz3zc/8cOAkB1yh6EAnx3F6tbBw/ehR+ASFeDpEcQHy1PXqjTfe4Lbbbqt0K7Ldbmf58uVMnTq1hiKrWVX9vg+nHudEdjIKFM3fgIJ6+nwOlF5X/7Gv1HbxcaPBgFE1YlBVjKrhtFfJvlPHFGnNrJeOZyXxyKf/h/XvQAr0TnRyJPHooJaEXnmVp0MTdURFr1mVShCaN29epRqid955B7PZ7LU1RJIgCABd00g4Es+vv+1h69FM9mkNcCkGWtlP0tw3k4FXXczFva+UG6/wKE9er959912uueYaQkNDa/VzPamq3/eCTe/w7u+f12BkZ2dUDe6koWi9KJkwGYxYjGYsRlPR0mDCbDThYzSfWhpOO1689DP54Gf2wd/si7/ZB7+SpckXf7MvFqNJro01SNM11vzxNW98+wWNCnqTrwRyq/onN025GUNklKfDE3VIjSQIUkMkCcKFRHe5SDz0J/v3/sXO+FT+yDOTZgjAqLto7jhJuE86F13cjsFXXEOQj7+nwxUC8Oz1ymAwsGrVKsaPHw+A0+kkPj6eNm3a1Goctamq33eB3YrVaUfXNXSKfuDpOmW2QUfTdXR0dL3oVWq7+LimaTh1Fy5Nw+ly4tKLlk7NhVPTcGpF6y7N5V46NBdO16l9Ts2Fw+XE7rJjdTqwO+3YnA5sTjs2V/HS6cDu3mfH7nRQ6LBjddrO+vcaVUNRAmHyJcg3gAa+gQT7BBDiXgYQ4htEiG8AwT6BNPQLIjygASaDDLZ4Ln+mnWDO18vIO2Igjy60dKTzn65+tBh5Ixjl+xOl1chDylOnTq1SDZHZbPba5EBcGHRrIWlH/iL+r+McSshkX4aDg05/clUfABo5IFw7SssgB+16dmJg15E0DYn0cNRC1C3/rG/Kzs6mffv2bNy4kYEDB5Y6tmfPHnbt2sWECRNqM8Q6w89cVONeX2i6RoHdSr7dSoG9kHy7lXxHYfG+QgrsheTZCsm3F5JtzSO7MI/MwhziMxLJsuaSVZiLzeko874NfAMJD2hAREBDwgMaEO7fgPCABkQGNqRJcARNgiPwNV2Yg6Pk2QpYsuUjvv5lFyH2XhQqfow3HmPcv0ZgjJJZkcX5qXRqOWnSpAuuhkjUA7oOBXlYkxJJPp5EUnIGCel5/J3j5G+ryjElkHy16Cbjp1lo5MyiEfGE+RcQ0TaKi2O6cVnL62ngJy1IQlTGmRqpd+3axa233nrBJgj1jaqoBFj8CLD4Vfk9Ch02sgtzybLmkZ6fTVp+Jil5maTmFS0Ppx7j56O7SM/PwqVr7vPC/ENoGhxBk5AImgZH0jQ4gqYhkbRsGFUvr9k2p50Pd33DOz9+S2RWOxTDAFo7E7j3smCaDr5HRssT1aLSCYLUEAmP03WwWaEwHwryoLAAvSCPvJw8MrLzycjMIyOngIwCBxlWjQyHQrJmJlkNJMNY0hXIjEkPIkzLxqJl0EA5iqpmY4rwo22zaLo2acfF0TcQHRIp/WaFEKIW+Jos+JosNAoKO2s5l6aRlp9FQnYKCdkpnMhK5kR2CieyU9j2915S8zPdZRv4BtIytAmtQpvSqmEULUOb0Dq0KREBDb3u2l5gt7J+7w+s+ulrQtOiUQwDMGpZPNE0nUvHjkUJqH/JkPCcaumcJjVEFyBdB5cTnMUvlwNcLnA6iredResl+9xlT1t32MBmw2m3Y7XasFodFNqdWEteDg2rU6PQqZHnVMh1Qq5LIU8zkKtayCt+lay7FAOgAkFAED66gwCsmA2FKGouRj0Rf/LJMOSjBio0DQ+ndVgTWoV2oF14M2IiWtarJn8hRN3l0oqeMVDVohGIRMUZVJXIwIZEBjakR9OYMscLHTZOZKVwNCOBv9ITOJqRQFziIT7dsxm7q6gbk7/Zl1bFyULrsGjahDWldWg0EQEN6lzicCIrmY/ivuPrbdsIz22F09AfB/nc3yCJwaOuwSjzGogaIE+v1BSbFXZupfipM0AHnX9sl6wDunbqOKft14qbUcu8j1b8I90FWslLO7XtchWVcW9rp8qUHC+1XrStu1w4XBp2pwubCxyajs2lY3eBXQO7pmPXlaKXYsSmGHEoBuyKAZtixK4YsSuGfyxPrVsVI1bVRKFiwqqYsKkmHIoFCDzr12lWnfhYnFgUBwbFgaLY0bBjJ4dCLQ8HdgpVG1a1EE0pxGTSiAgKIiAonCbB4UQFRRMV3IOooHBaNIwixPfsnyeEqJqsrCxPh+AV3vr2AB//chQAhVOJgqoqGBQFVS36IWw2qliMBkxGFYvJgNmoYjYasBhVTEYDFlPRtrn4uI/JUHTcVFTGYjKUfhUfMxvVorImA0ZVqXM/is+Hr8lC2/Bo2oaX7ofv0jQSc1L4Mz2Bv9JO8Fd6AgdT/+bLA1uwOu0ABFr8aR3WlNahTWkTFk3rsKa0CY0m1D+4Vv+G1LxMNv/5Oxv2/Ezhn4VYtPY4DYNQyOb+sFQG3TgEcyMZnUjUHEkQakheRiaxH/yEXnzRLfppf+oCrKOc2qcAKOhKyX7F3YdQV4rKUbxfP20/xdu6ohaVVxQ0RcGpGHBiwaWoOBQVJ8Wv09dR3EsXCk69aNuOWhSgkQr/6zAoGkZFR1U0DMVLpfhF8UvDiQsXLt2Og3wcuh2bbsWh29FxoClOdIpfyulLBz4mA4E+fpgsfhh9/Am0+BPo40egxZ9gnzBC/YIJ9Q8h1D+YMP9gQv1CpCVACA+57777ePzxx+nevTsxMTEoikJiYiJOpxOjjKji1r9TFC0jAtE0HU0Hl1YyGtGppVPTsTtd2J1FlTZ2R3HlTfF2ns2J3VG87XBhKy5rdbiwOVwVjkVVlOJkQS0/iTCeSkxMxqKkxWQovf3PfSXrZqNaVOYf5UvKmAxqrSUnBlUlOqQR0SGN6N+6p3t/SeJwJO0Ef6Yd58/0E+w+eZhP927G4XICRV2VTm9taBMWTfMGjWngF4SqqOcdW1p+FrtPHmFX4iG2/rkb/biVYGcLMgxdsStGeupJ3N3WRu9h12GQ0RRFLajS1VpqiM4tWVH4NKxD8Y/707tg6ZTukHX6dulyZUuU3VcyzB2nDXmno6HjQtPt6IoGaOj8Y1nefqXoPB0XuuKCkvXibZ3ifYoLowH3xd1kNILBhMlgRDUYMalGTEYT5uJ1s9Hs7lvqa/LF19QAX5MFH6MZX5NP0br7uKX4mIUAix+BFj8Z5k4IL/Hll1+ya9cu4uLi2LVrFz/99BO6rjNp0iTuuOMOWrZsSYcOHYiJiSE1NdXT4XpU+x//R/tvPimu3Cmu5FHV0tvl7SvZVg1F66r6j/Wibd2o4lBNWFUjdsWETTViUwzYFFPRkuJtDNgUA3YMWDFg0w3YHSpWe1GFkU1XsekK2bqCQ1dxAHatqBXZoSvYNXDo4NAUHBUeNL00swomg4LZoGA2qJhUBZOxaN1sUPExqfibDfj5mPCzmPDzMePna8bfz1K0bjHhZzHibzG6lxZTxSeDOz1xGNCml3u/U3NxIiuZI2nH3cnDb8f38VHctzi1ogTMZDASGdCQRoGhRAaFEhkQSqDFjwCLL/5mP3dl1alhZZ3kWPPIKMghNT+LY5knOZGeTINMiLSH4VKaUmDsg10x0UDJYFxoLgMu60KjrtfKw8eiVlXpl5fUEJ1baLA/XbskF890CfDP2S9P28ep5l3ltONqcStByXbpmTVVDKqKQVFRi2fGNChFE9+oqoqxzLqheF3FUDxBjsG9biheV93rRoMBc/GPfpPB6F43G0wyC6cQolyDBw9m8ODB7m2Hw8G+ffvcCUNcXBxbt25l3bp1ABf2daTX5dA4uqgrqKaf6jaq60XdP/Xifaevu49pp3Up/ce2XtR1VNE0zC4X5pJjmgaaDbTC07ZdZ1j+83h52/84R9fQXC4cigEHp7qZOoq7lzrc66e2/7nuLkvpY1bVRJZiJlE1U6CaKVDM5KtmbKrpjF+vQdfwU1wEKC78VQ0/g46/UcHfpOBvVvE3FyUS/j4m/H3N+Pv54O/vg5+/LwGB/vgH+mH29aVFg8a0aBjFoHZ93O/tcDmJzzjJ8awkknLTSc5NJyk3nYTsVP44cZA8ewH5tsJSIy0ZdZ0QJ4Q4/YnQggghBEUPwkIrLGpPchQDhSYXndUsroqw0btXS5p1G1qU/AnhAZWaKA3g66+/LlVDdPDgQRwOB4qiYDQay9QQLV++HJer4k2ddZFMlCaE8BbecL1KTk5230f+/e9/ezqc8+IN33etKkkg9NOXejn7znXsH/u14gEvHHZwOMDpwGmzU2BzUmBzkG9zUmB3UmDXyLe7yHdqFNg18hw6+Q6dfBcUaCr5mkoeRvIxUqAUJRxnYtRd+Gt2/HQ7/jjxx0mA6sJP1TCpatFzI+ioStHwGChFrSoODWyajlVTyNEM5OgmchUzOaoPWnF3JJPuopFSSDsfJ+0j/WnfvjmtunTA7CvdY0XNqpGZlMtTXg1RXFwcKSkpRR+gKJIgCCFELZHrVe2S79uLaRoum43C3Dzyc/PJyyugIK+Q/AIr+YV28m0O8q0O8m0u8h0u8h0a+Q7Id+k4NYqeFdEVXICmKyjomBQds6pjUhR8DBBkgiAfI0H+PoQE+REVFkTj5o0JaxSBwXD+zy4IUVk1MpNyeUwmE127dqVr167ccsst7v2n1xAJIYQQQtQpqorB15cAX18CIsKJ9HQ8QtQhNfbAQGRkZJn+qEIIIYQQQoi6zevbt1q0aHHqwd3i17x580qViYuL4/LLL8fHx4fo6Gjmz5/voWiFEEIIIYSo2+rFkEPPPPMMU6ZMcW8HBp6aBCsnJ4fBgwczaNAglixZwu7du7n99tsJCQnhzjvv9ES4QgghhBBC1Fn1IkEIDAykUaNG5R5bvXo1drudZcuWYTab6dSpEzt37uSll16SBEEIITxk4MCBREVF8eijj9KxY0dPhyOEEOI0Xt/FCGDevHmEhobSvXt3FixYgNPpdB/bunUrV1xxBWbzqaHMhgwZwsGDB8nMzPREuEIIccH7/vvviY2NpUuXLqUGuBBCCOF5NdqCUBs1RPfffz89evSgYcOGbNmyhVmzZnHy5EleeuklAJKSkmjZsmWpcyIjI93HGjRoUOY9bTYbNpvNvZ2Tk1MjsQshxIVK0zTy8/PZvHkz33//vafDEUIIcZoabUGoag3RzJkzyzx4/M/XgQMHAJgxYwb9+/enS5cu3HXXXbz44ou8+uqrpX7gV9bcuXMJDg52v6Kjo6v8XkIIcaGx2WzcfffdbNq06azl/P39GTZsmAwcIYQQdUyNtiBUtYbooYce4rbbbjtrmVatWpW7v0+fPjidTuLj42nfvj2NGjUiOTm5VJmS7TM9tzBr1ixmzJjh3s7JyZEkQQghKshisbBy5Up69OjBgAEDPB2OEEKISqpyC0JN1hCFh4cTExNz1tfpzxScbufOnaiqSkREBAD9+vXjhx9+wOFwuMts3LiR9u3bl9u9CIpubkFBQaVeQgghKq53794cPXrUY58fHx/PHXfcQcuWLfH19aV169Y8+eST2O32UuVkGGwhhCiryglCSQ3RkSNHqjOeStm6dSsvv/wyu3bt4q+//mL16tU8+OCDTJw40f3jf/z48ZjNZu644w727t3L+++/z3//+99SLQRCCCGq15w5c3jzzTc5fPiwRz7/wIEDaJrGG2+8wd69e1m0aBFLlizh0UcfdZcpGQa7efPm/P777yxYsICnnnqKpUuXeiRmIYSoK86ri5Gna4gsFgtr1qzhqaeewmaz0bJlSx588MFSP/6Dg4P5+uuvuffee+nZsydhYWHMnj1bhjgVQogaNHPmTEJDQ+nVqxePPfYYY8aMoUWLFrX2+UOHDmXo0KHu7VatWnHw4EEWL17MwoULARkGWwghzkTRdV2v6sk//fQTN9xwA1u2bKFt27bVGVedkpOTQ3BwMNnZ2dLdSAhRp9WV69XVV1/N7t27SUlJAUBRFBo3bkzXrl3dry5dutChQ4dai+nxxx/nyy+/ZPv27QDceuut5OTksHbtWneZTZs2MXDgQDIyMs7YDfV0deX7FkKIiqjoNeu8WhA8XUMkhBCibtq4cSMAqampxMXFsXv3buLi4oiLi+Pll1/GarWiKAoul6tW4jly5Aivvvqqu/UAZBhsIYQ4k/NKEHx9fcnKyiI3N5eZM2cya9Ysj9cQCSGEqDvCw8O56qqruOqqq9z7NE3j8OHD7N69u9LvN3PmTF544YWzltm/fz8xMTHu7YSEBIYOHcro0aOZMmVKpT/zdHPnzuXpp58+r/cQQoi67ry6GJUor4Zo3759tV5DVFOkCVkI4S3q+/UqNTWV9PT0s5Zp1aqVe6S7xMRE+vfvT9++fVmxYgWqempsjqp0MSqvBSE6Orreft9CiPqlVroYlajuGiIhhBDepWPHjsycOZOxY8eecRjqf7LZbMTGxrJgwQL27dtXoXPCw8MJDw+vUNmEhAQGDBhAz549Wb58eankAIqGwX7sscdwOByYTCagYsNgWyyWCn2+EEJ4qxqbSVlVVdq3b8+oUaNq6iOEEELUEbfddhszZswgMjKSSZMmsWrVKvbu3UtBQYG7TH5+Pnv27GHFihVMnDiRiIgI/vOf/5xzYsyqSEhIoH///jRr1oyFCxeSmppKUlISSUlJ7jIyDLYQQpSvUl2MaquGqK6p7032Qoj6w5PXq9zcXN5++21WrFhBXFwciqIAYDQWNVY7nU4AdF2nc+fO3H777dx+++01EueKFSuYPHlyucdOv+3FxcVx77338ttvvxEWFsZ9993HI488UuHPkfuDEMKbVPSaVakEYf78+cyfPx+Xy8WIESMYNGgQPXr0oGXLlvj5+QFFNURHjx5l+/btfPPNN6xfvx6z2czDDz/Mf/7zn/P/yzxAbgBCCG9RV65X8fHxbNmyhQMHDrifGQgNDSUmJoZ+/fqVGT3IW9WV71sIISqiRhIEqFs1RLVFbgBCCG/hyevVoEGDuPfee7n++uvL9Pevr+T+IITwJjWWICQmJhIVFQVIDZEQQtQ1nrxeNW3alJMnTxIVFcWdd97JlClTaNSoUa3GUNvk/iCE8CY1liAEBATwwAMPMHPmTAIDA887UG8gNwAhhLfw5PVK0zTWrVvH4sWL+fbbbzEajYwcOZJ7772XK664olZjqS1yfxBCeJOKXrMq3QZ8+eWXM3fuXFq1asWiRYuw2+3nFagQQoj6QVVVbrjhBr7++msOHTrEfffdx7fffsuAAQPo3Lkzr7/+Onl5eZ4OUwghxDlUOkH44osv2Lx5M+3bt+ehhx6iXbt2rFq1qiZiE0II4aVat27NwoULSUhIYPny5QQGBjJt2jSioqK45557ZI4cIYSow6r0FNnll1/OTz/9xPr162nQoAGTJk2ie/fufPnll9UdnxBCCC9msVi49dZb2bp1Kzt37mTChAm8++67dOvWrd52OxJCCG9X6WcQyrNmzRpmz57Nn3/+yZVXXsn8+fPp1atXdcRXJ0gfUyGEt/Dk9Wrnzp3k5OSQk5NDbm6ue/2f2ydOnGDbtm0oioLL5arVGKub3B+EEN6kotcsY3V82NixYxk9ejTLli1jzpw59OnTh5tuuonnnnuOtm3bVsdHCCGEqON69OjhHvraYDAQGBhY7qtDhw707t37ghnoQgghvE21JAhQdDOYMmUKkyZN4rXXXmPevHl07tyZO+64g9dff726PkYIIUQd1bp1a/788086derEjBkzGD9+PBaLxdNhCSGEqKRqnckmLS2NX3/9lYCAAEaMGIGmabzxxhvV+RFCCCHqqMOHD/Pll1/Spk0b7rzzTpo0acIjjzxCfHy8p0MTQghRCZVuQdB1naNHj3LgwAH279/vXh48eJCMjAx3GbPZTIcOHejYsWO1By2EEKJuGjx4MIMHD+b48eMsXbqUt99+mxdffJGhQ4dy3333MWTIEE+HKIQQ4hwq/ZCyr6+ve+4DXdfx9fUlJiaGjh07uhOCjh070qZNG1S1WhsoPEYeQhNCeIu6dr1yOp189NFHLF68mB9++IHWrVtzzz33MHnyZEJCQjwd3nmra9+3EEKcTY3NpDx58mR3EtCxY0datGjhfiitvpIbgBDCW9Tl69X+/ftZvHgx77zzDk6nk/Hjx7N06VJPh3Ve6vL3LYQQ/1RjCcKFSG4AQghv4cnr1fbt2ys0zGliYiLbt2+XYU6FEKKW1eowp/VdSQ6Vk5Pj4UiEEOLsSq5Tnqj76d27N4qilPvZZrOZoKAggoODCQ4OZsCAAQQHB9d6jNVN7g9CCG9S0XuEJAgVkJubC0B0dLSHIxFCiIrJzc2t9R/gy5YtcycAwcHBpRKC+jrcqdwfhBDe6Fz3COliVAGappGYmEhgYGClnrfIyckhOjqa48ePe03TszfGDN4ZtzfGDN4ZtzfGDFWLW9d1cnNziYqKqjcDRdRlF9L9Abwzbm+MGbwzbm+MGbwz7qrGXNF7hLQgVICqqjRt2rTK5wcFBXnNP7gS3hgzeGfc3hgzeGfc3hgzVD7u+tB1x1tciPcH8M64vTFm8M64vTFm8M64qxJzRe4RUr0khBBCCCGEcJMEQQghhBBCCOEmCUINslgsPPnkk171cJ43xgzeGbc3xgzeGbc3xgzeG7c4N2/9b+uNcXtjzOCdcXtjzOCdcdd0zPKQshBCCCGEEMJNWhCEEEIIIYQQbpIgCCGEEEIIIdwkQRBCCCGEEEK4SYIghBBCCCGEcJMEQQghhBBCCOEmCYIQQgghhBDCTRIEIYQQQgghhJskCEIIIYQQQgg3SRCEEEIIIYQQbpIgCCGEEEIIIdwkQRBCCCGEEEK4SYIghBBCCCGEcDN6OgBvoGkaiYmJBAYGoiiKp8MRQogz0nWd3NxcoqKiUFWpA6ppcn8QQniTit4jJEGogMTERKKjoz0dhhBCVNjx48dp2rSpp8Oo9+T+IITwRue6R0iCUAGBgYFA0ZcZFBTk4WiEEOLMcnJyiI6Odl+3aktGRsZ5nR8cHIzBYKimaGqP3B+EEN6kovcISRAqoKTZOCgoSG4AQgivUNvdXcLCws7rMzdu3MjAgQOrMaLaIfcHIYQ3Otf1ulIJgjfXEL322mssWLCApKQkunbtyquvvkrv3r09EosQQtRHI0eOpEuXLpU6Jz8/nxdffLGGIhJCCFEVlUoQvLWG6P3332fGjBksWbKEPn368PLLLzNkyBAOHjxIRERErccjhBD10U033cT48eMrdU56ejoLFy6soYiEEEJURaW7GHljDdFLL73ElClTmDx5MgBLlizhs88+Y9myZcycOdNjcQkhRH2xaNEievXqVenzAgICWLRoEe3bt6+BqIQQQlRFpRMEb6shstvt/P7778yaNcu9T1VVBg0axNatW8s9x2azYbPZ3Ns5OTk1HqcQonq4NI28wnzycvKwWguwFlqx2m3YbTbsNjt2ux27zY7D4cRud+B0uXA5XWiajq7r6JqGputoGui6hq4XDQvn0nXQ9KJjuu7er+uADjo6oIBetKYDil60pORY8VrRSSXHTtH/uQO4dmg/LrqoW018VdXqgQceIDMzs9LnWSwWHnjggRqISAghRFVVKkHwxhqitLQ0XC4XkZGRpfZHRkZy4MCBcs+ZO3cuTz/9dG2EJ4QoR56tgOSsdBITEkhPSSMrI5vc3AIKCuwUWjWsThWby4BDN2DHiAMjNozYVDNWxYRTqcizTkYqeglUdB0FHZWipaIXrbu3i8uUOqf45/8/O2UqZdKCsvtKzlF0nZ6JSVx0UYXC9LhGjRoxbNgwJkyYwPDhw7FYLJ4OSQghRBVUKkG4UGqIZs2axYwZM9zbJUNCna+vvvqKoUOHnvH4ypUrufXWW8/7c06Xl5fHggUL+PXXX9m2bRuZmZksX76c2267rUzZ3377jZUrV7Jp0ybi4+MJDQ2lb9++zJkzh3bt2pUpb7PZmD17NqtWrSIzM5MuXbowZ84crr766rPGtGLFCnd3rx9//JHLLrus1HFd12nWrBknTpzg2muvZcOGDZX6m0eMGME333xDcnLyGYfxmjBhAh988AEnT54kNDS0Uu8vzl+hw8bfmSc5dDye44ePkp2cS16eiwK7iQLdhxw1gGzVH01RKfq5HAKE4KPZCdSs+GPDFwd+qosQ1YnFoGM2KlhMKhaTAYvFiNlsxGw2YTQZMJlMWEwmzBYzJpMZHx8zFosFi8UHi8WCyWxCNRoxGo2oqorRYMJgUDGaTBhUFVU1oMikY+c0atQoPv30Uz799FMCAwO58cYbmTBhAgMHDpRJxIQQwotUuouRt9UQhYWFYTAYSE5OLrU/OTmZRo0alXtO0Q+H6v+7du3aBcArr7xCgwYNyhwfMmRItX9mWloazzzzDM2aNaNr1658//33Zyz7wgsv8PPPPzN69Gi6dOlCUlIS//d//0ePHj345Zdf6Ny5c6nyt912Gx9++CHTp0+nbdu2rFixgmHDhrFp06YyP/rL4+PjQ2xsbJmymzdv5sSJE1X+bzBhwgTWr1/PJ598Um7CVVBQwLp16xg6dKgkBzVM13VOZCezJ/EIe/cdIOPvdApzjBRoAWQaGpBt8AciUPRwQrU8GiqFNDI56OCbS1iQk4iwYCLCQ4loFElYRDiWwECQH5p11urVqyksLGTt2rXExsayevVqVq5cSWRkJOPGjWP8+PH07NnT02EKIYQ4B0XXy+v1emYTJkzg008/paCgwGtqiPr06UPv3r159dVXAdA0jWbNmjFt2rQKPaSck5NDcHAw2dnZ5zXO9cSJE9mwYQOZmZm19l3ZbDYyMzNp1KgR27dv5+KLLz5jC8KWLVvo1asXZrPZve/w4cNcdNFFjBo1infffde9f9u2bfTp04cFCxbw73//GwCr1Urnzp2JiIhgy5YtZ4yppAXhxhtv5IcffuDkyZMYjady1TvvvJMdO3aQlpZG586dK92CUFhYSGRkJJdccglffvllmePvvfce48ePZ82aNdx8882Vem9xdgV2KzsTD/Lb0b2c2Pc31lQNmxZOsiEcq1r07yrKmUWUsZCmgQZaRYXRpnUzmrZtiUXGkK8W1XW9qg6ZmZn873//IzY2lp9++gmAtm3bMnHiRMaPH0+rVq08Gt/pqjoUdl36voUQ4lwqfM3Sq6CgoECPjY3Vr7vuOt1sNuuqquqNGzfWZ8yYoW/fvr0qb1mj1qxZo1ssFn3FihX6vn379DvvvFMPCQnRk5KSKnR+dna2DujZ2dnnFUfnzp31/v37n9d7nI/ffvtNB/Tly5dX6rwePXroPXr0KLXv4Ycf1g0GQ5nv5Pnnn9cB/dixY2d8v+XLl+uA/sEHH+iKouiff/65+5jNZtMbNGigv/jii3rz5s31a6+9tsz5J06c0CdPnqxHREToZrNZ79ixo/7222+XKjNp0iTdaDTqycnJZc6/7rrr9MDAQL2goKBCf784M5fm0nclHtJf/eF9ferSp/Wps2frU55Yol/39Fp98DMb9Buf+lB/9Jm39VWLV+s7vv5Bzyvnv4eoXtV1vapuJ06c0OfPn693795dVxRFV1VV79evn6fD0nW96B5hNpv1ZcuW6Xv37tWnTJmih4SElHv9+Ke6+n0LIUR5KnrNqtJMyr6+vowbN45x48aVqiF6+eWXefnll+tcDdHNN99Mamoqs2fPJikpiW7duvHll1+WeXC5Jtntdg4ePMhll11GWlpamePBwcGYTKZS+xwOB9nZ2RV6/4YNG6LWQB9pXddJTk6mU6dOpfb/8ccftGvXrkz2WVLjtnPnznM+t9GiRQv69evHe++9xzXXXAPAF198QXZ2NmPHjuWVV14pc05ycjJ9+/ZFURSmTZtGeHg4X3zxBXfccQc5OTlMnz4dKGrpWrlyJf/73/+YNm2a+/yMjAy++uorxo0bh6+vb6W/DwE2p52t8XFsOvI7h+OOEJwXSo7SjDRjTyyqg4vUTIY0ttPtomhadu+Eaq7b3RBF7WjSpAkPP/wwQ4cOZfbs2axbt45ff/3V02EBMhS2EEL8U5UShNM1aNCAqVOnMnXqVBISEoiNjeW9995j9uzZPPnkk/Tp0+es3U1qy7Rp00r9UKxt+/btw+FwsGTJEpYsWVLm+MGDB8s8CPzzzz8zYMCACr3/0aNHadGiRXWEWsrq1atJSEjgmWeeKbX/5MmTNG7cuEz5kn2JiYkVev/x48cza9YsCgsL8fX1ZfXq1Vx55ZVERUWVW/6xxx7D5XKxe/du9/MDd911F+PGjeOpp55i6tSp+Pr6MnDgQBo3bkxsbGyp/+4ffPABDoeDCRMmVCg+UcSlafx2fC+f7fuZnXv2EpXbiBy1NRmG/qDm08e/kL4xZrpdfimWkBBPhyvqmGPHjrnvDXv27EHXdS655JI68b/Dyg6FLcNgCyFKuDSNAqsNq8OK3WbDYS8aStths+Nw2nHaHTgcLpwOOw6nC6ejaGhtTdNwaRq6rkPx0Nq6rqNrxcNklwy7XfzSdIqG0C4eZht0dA38A3wZddONNfK3nXeCcLq6XEPkaXFxcUBR//smTZqUOd62bdsy+7p27crGjRsr9P5neuD6fBw4cIB7772Xfv36MWnSpFLHCgsLy32I2MfHx328IsaMGcP06dPZsGEDQ4cOZcOGDeW2HEBRa8ZHH33EmDFj0HW9VEvMkCFDWLNmDTt27ODSSy/FYDAwduxYFi1aRHx8vDt5io2NJTIykquuuqpC8V3ojmcl8VHcd3we9zNRaSFAe+yGoaQbrFzhl8uA7o3pdMUgaSUQZaSlpblbl7du3Yqu68TExPDMM88wYcKEGqnQqIrKDoUtw2AL4f2cmou0vGyOJSZw8kQC2Zk55OcVUlhgp9DqxGbXsToV7JqKQ1dx6gacGHBgxKEUDa9tV4zYVdO5P+yMSnp9VGRY7vJFO9MYddN5hHAW1ZYg1OUaorpg165dGI1Gxo0bV+oh4LNp0KABgwYNquHIypeUlMS1115LcHAwH374IQZD6X/Avr6+pWrRSlitVvfxiggPD2fQoEHExsZSUFCAy+Vi1KhR5ZZNTU0lKyuLpUuXsnTp0nLLpKSkuNcnTJjAokWLiI2N5dFHH+XEiRP8+OOP3H///WX+HnGKU3Px/ZHtfLDrG+IPn6CVrT0+hqtJVg30VdK4q7NKz0GDMZ1hCFlx4crPz+eTTz4hNjaWb7/9FofDQePGjZk+fToTJkygR48eng7xvNXUMNhCiOpTYLdyPCuZQ8eOkfDXMdKTssnJdZHvKBpKO0/xI1f1LR5KG8Af8Meou/DXbPjpNvx0OxbFSYDixKg6MKk6RgOYDGAyKpiMBswmFZPJgEE1YDQaiobHNqioRgNGgxGj0YDRZMBgNGI2GTEYTRgNBgyGorKKYkBVFVRVRVUUFIMBUDAYVFRVRVEUFKVovai8ikFV0FW1+DOrtZ6/lPN6Z2+pIaoL4uLiaNmyZYWTAyhq+s7IyKhQ2fDw8Gr70Zudnc0111xDVlYWP/74Y7ndfRo3bkxCQkKZ/SdPngQ4Yxeh8owfP54pU6aQlJTENddcQ8gZuqhomgYUjQb1zxaNEl26dHGv9+zZk5iYGN577z0effRR3nvvPXRdl6T1DArsVj7e/R2rfvsc31QTEdpFoHYjT8llbMNchlzdm9D2wz0dpqjDIiIisFqtBAQEMH78ePcIdzXxfFR1qexQ2DU1DLYQomqSctLYcewQ+/cfJv14Brk5Ktl6CBmGEByKEQjBoAcS6cqlIQVEGAsJ8rHSINBMWIMgIiPCiIiMICwsDN+QYBRpEQeqkCBcCDVENSEuLo6+fftW6pwtW7bU+jMIVquV4cOHc+jQIb755hs6duxYbrlu3bqxadMmcnJySj2oXNKlrFu3bhX+zBtuuIGpU6fyyy+/8P7775+xXHh4OIGBgbhcrgq3rEyYMIEnnniCuLg4YmNjadu2LRdffHGFY7sQpOVnEbvjC/6341taZEcQqV9CshqMn57GE+2c9Bs+AoOfn6fDFF5g0KBBTJgwgREjRri7G9Z1ZrOZnj178u233zJy5EigqDLi22+/9ehza0KIsnRd50jaCX76M46DcYfJTbJT4Awl2RiOSwnDqDcgWsukvbmQ6BAXzRqH0bZNSyJbNsMYFOzp8L1KpRMEb6wh8rSkpCRSUlKIiYmp1Hm1/QyCy+Xi5ptvZuvWraxbt45+/fqdseyoUaNYuHAhS5cudc+DYLPZWL58OX369KlUk3tAQACLFy8mPj6e4cPPXENtMBi46aabiI2NZc+ePWUmbktNTSU8PLzUvpIEYfbs2ezcuZOnnnqqwnHVd4nZqbz16yd8uvsnLspvTZQ+lDTFh0uUZB7pHUGnQRNBumKJSli3bl2ZfTabjR07dpCSksKll15KWFiYByI7uxkzZjBp0iR69epF7969efnll8nPz3ePaiSE8JwCu5Wfju7kh307Sd6XissWTpIxCpfSlgZaATGGTIY3yuWiDi1p0TkGU4OGng65Xqh0guCNNUSeVjKDcmpqaqnJxkp07dqViy66qMz+6noG4f/+7//Iyspyjyy0fv16Tpw4AcB9991HcHBRVv3QQw/x6aefMnz4cDIyMsrEOnHiRPd6nz59GD16NLNmzSIlJYU2bdqwcuVK4uPjefvttysd45m6DP3TvHnz2LRpE3369GHKlCl07NiRjIwMduzYwTfffFOmS1bLli255JJL3D9cpHsRJOdm8Pava/lo5ya6WtvR2jWCZMXM1aYUxgzqSpOLr5XZikW1eOWVV3jqqafcwzVv3LiRgQMHkpaWRkxMDPPnz+f222/3cJR1YyhsIcQpVoedn47+wRdxv5C2PwPd2YJkYzQGPYrOSirDI3Lo1b0dTbtehOIjQ5bXhErPpFweb6ghOh/nO1PmggUL+M9//nPG4++88w633HLL+YR4Vi1atODvv/8u99jpXZP69+/P5s2bz/g+//ynYrVaeeKJJ3j33XfJzMykS5cuPPvsswwZMuSs8ZTMpPzbb7/Rq1evs8Zd3kzKKSkpPPPMM3z66ackJSURGhpKp06duPnmm5kyZUqZ93n99de599576d279wU9qlZ6fjbLtq3jfzu+oVNhawpdnchRLAwyJDN+SHca9+rp6RBFNagrM/suX76cO+64g7FjxzJ48GBuv/12vvnmGwYOHAgUjWCWlZXF119/7bEYq0Nd+b6FqA8Opx5jzR9f8/uOQzQsjCbJ0ByA3noyV7QMofflPQlo0VIqsc5DRa9Z550geEsN0fmQG4DwZgV2Kyt+W8/KbRtoVdgUxdmVTHy5Sk1i3OCuNLn4YrnY1iN15XrVuXNn2rZtyyeffEJ6ejrh4eGlEoQXXniBV155pdzBDrxJXfm+hfBWDpeTbw5v4/0dG8k/YseodSLDEEwLRwZDGukMHHgxIe1j5D5VTSp6zTqvUYyWL1/O9OnTS9UQlQgLC2PgwIGsWbPG6xMEIbyRS9NYv/cH/u+n9/HJ8qGzcwgnCOZS/SSTBzUl+pLr5IIrasyRI0e4//77z3i8YcOGpKen12JEQoi6xOFysn7fD7z183oaJDXAqnQiX/HhUuUko3o2JOaq0SgW6cruKeeVILz44otcf/31xMbGlnuh79mz5xknvRJC1Jxfj+3hxe/fJSkhg06ufvylRxDoTOWli1U6DZsMqjx8LGpWSEhIqckM/2nfvn01MsGjEKJuc7icrN/7A0u3riUoOQQf/TJyFCODjUnc2L8zTfoNAxn4xuPOK0GQGiIh6pb4jEQWbV7N1kN7udjRmxztMqyuHB5vk89lo2+Wh7lErRk2bBhLly7lnnvuKXNs7969vPnmm9K6LMQFZkv8Ll74diXaSRMNXJeSpfgxVE1g4nW9Ce1+vafDE6c5rwRBaoiEqBuyCnNZsuUjPvzjO3pYuxCp3UCq5uDu8DSuHXcdxob1a+AAUffNmTOHPn360LlzZ4YPH46iKKxcuZJly5bx0Ucf0bhxY2bPnu3pMIUQteBEVjILv1/FtgOHaG+/lEQljPZaArdfGU6z/ndKi0EddF4JgtQQCeFZdqeDNTu/ZumWT2ie05QW2vWc1I3c6JvCmDGD8G/R0tMhigtUVFQUv//+O48++ijvv/8+uq6zatUqAgMDGTduHPPmzat3I94JIUpzuJy8/es63v7lUzpaL6KB8zpUVy7zOxbS9cbbwGT2dIjiDM5rFKPExET69OmDrusMHz6cpUuXMnHiRFwul7uGaNu2bV5/E5BRKkRdo+s63x7exqLNsagpJoJdvUgjgEFKApOu7UV4Dxmy9EJVV69XqampaJpGeHh4vZpYs65+30J42pG04zz+xeuknMgjynk5mboPY00nuPm2EZgbN/V0eBesWhnFSGqIhKh9e07+yYubV/H3Xym0cvbhuBJGM9dJnr48nNYDp0hTraiT/jnLuRCifnJpGit/W8/rP3/IRfbuWByXEO5M5fnLgml29d0yep6XOK8EASAiIoK33nqLt956q97WEAlRFyRmp/LqT2v4fs9Outh7YeJijK4Mnutoo9eNt0pTrfC4ESNGVKq8oijuWc6FEN4vJS+DRza8wp5jx+nuHMoJZxATTccYO+1mDPIsnFc57wThdFJDJET1y7UV8Pava1nz2zd0LuhEQ/16crVCZjTOYNC4ERiCgj0dohAAbNiwAR8fHxo1alRm5vXyKFKTKES98duxvTyy4RUaFETS1Docm6uQhR0K6TTmLhla2wtVa4IghKg+DpeTj+O+Y8lPH9MsM5pGDCdNhwkBKdw4dig+TaQPp6hbmjRpQkJCAmFhYYwfP56xY8fKSHZC1HOarrFi23pe/XENvZXLiC9sweXOY0y/+VICOnXxdHiiiiqdIEgTshA1y6VpfHlgC4t//JjgpGAaMJgMDIywJDN6xGWEdOzo6RCFKNfx48fZvHkzsbGxPPvsszz88MNceeWVTJgwgVGjRhEYGOjpEIUQ1ajAbuWxL15j06GdXKpfx5/WYO4w/cXo6beiBErrtjer9ChGqqpWugn5r7/+qnKAdYGMUiFqQ9HIRL/x2g8f4pPgg4MuFCpmrjEkMe663oR27ebpEIUXqCvXK4fDweeff05sbCwbNmxA0zSuueYaxo8fz/Dhw7FYLB6LrTrVle9biNqWmpfJ/Z8s4HhqFm2sA8lxqMyMyqL35FvBKB1U6qoaG8VImpCFqF66rvPT0Z28vvljTH+bQelLtmJkkJrEhCHdiOw1XEZ9EF7HZDJx/fXXc/3115OXl8fHH3/MkiVLuPnmm3nqqad44oknPB2iEKKKDqceY9rHL2AqDCQy/2oMjnz+268B0dfI3Ff1RaUTBGlCFqJ6ODUXGw/9ysofPsc3IYg8Qy8URWeYJZUbr+5ORA9JDIT3s9lsfPXVV6xbt44//vgDHx8fWrRo4emwhBBVtCV+F//+9GVaqu3IyelES0cKT43uSUCX7p4OTVSj85ooTZqQhai8AruV9Xt/YN3mH/DJjOSkoQX+mp3rg7K4/rrLCGrX3tMhCi9WF65XmqaxceNG3nvvPdauXUtBQQGDBg1i/Pjx3HDDDfj7+3skrppQF75vIWrLFwe28Pjnr9Hb0o/49OZc6jzBf24fjLlFa0+HJiqootes80oQTnd6E/Kvv/5ar5qQ5QYgqsPxrCRW//o1B3/7C7ujNWnGhkQ7MxneSGfI9QPwiZJRicT58+T1asuWLcTGxvLBBx+Qnp5O3759GT9+PGPGjKm3k2bK/UFcKD7c9Q1zvn6by30GcSirEdc7/2TqtDEYwqWbuTeplZmUS3iqCTk+Pp5nn32W7777jqSkJKKiopg4cSKPPfYYZrPZXaZly5Zlzt26dSt9+/at8RjFhc3udPDd4e18velncpPMnDQ2x0VP+qpJPNxFoeuQm1B8fD0dphDV4rLLLsPX15dhw4Yxbtw4933g2LFjHDt2rNxzevToUYsRCiGqYsW29SzavJr+lms4kBXG7cphxvx7soxUVI9VOUE4UxPym2++WWtNyAcOHEDTNN544w3atGnDnj17mDJlCvn5+SxcuLBU2W+++YZOnTq5t0NDQ2s8PnFh0nWdnQmHWP/NJk7G55NKM3INHWiuZHBraDZX9e9JaMfr5PkCUS8VFhby0Ucf8fHHH5+1nK7rKIqCy+WqpciEEJWl6zqv/fw/3tz6CQMtw9mXHcI00xGGP3gXWHw8HZ6oQZVOEMprQn7++ec90oQ8dOhQhg4d6t5u1aoVBw8eZPHixWUShNDQUBltSdQYl6ax5dAufvzhFxISHSQqTShQo4nQc+jvl8U1fRvT+tIhMvSbqNeWL1/u6RCEENVE13Ve+XENy379lIGWkezPCmCG7xGGPHAXmOvHM6bizCr9a6WuNyFnZ2fTsGHDMvtHjBiB1WqlXbt2/Oc//6n0hG9C/NPRpAS+//FnjvyVQmJBACcNYehKM6K1DK4OTGdQn0607TsIRS6k4gIxadIkT4cghKgGuq7z6k9FyUF/80gOZPnxiP+fDLj/bjCZPR2eqAVVqs6sq03IR44c4dVXXy3VehAQEMCLL77IpZdeiqqqfPTRR4wcOZK1a9eeMUmw2WzYbDb3dk5OTo3HLuo2u93O9p1/sCvuAMeSC0m0+5NsaICu+BPkakR7NY0hjTMZcGlPImOuAVX1dMhCCCFEpZV0K3r7l3VcZRnJ/iw/HguK57Jp94DR5OnwRC2pdIJQG03IM2fO5IUXXjhrmf379xMTE+PeTkhIYOjQoYwePZopU6a494eFhTFjxgz39sUXX0xiYiILFiw4Y4Iwd+5cnn766fP8K4Q3subk8deff7L/0J/EJ6aTkqeT4vQjxRCEUzGg6g1p4sykhTGbgRF2+nS/iHbdu6JKK4EQQoh64PWfP+DNrZ8w2O8Gdqf780jAUS6bdrd0kb3AVNswp9UpNTWV9PT0s5Zp1aqVe6SixMRE+vfvT9++fVmxYgXqOWpvX3vtNebMmcPJkyfLPV5eC0J0dLQMY+fFdLuNgvQM0lPSSUpKISk9k7TsPDLybGRYIcNpJl0JIMdwakShAJeVSC2ThqZCwoMMtG7WiL79+hLWKMqDf4kQZ+epYTe7dOnCvHnzGDZsWKXOy87O5vLLL+ett96id+/eNRRdzZFhTkV9suzXdfz3h/e4Jmgkf6QE8qD5MENn3CPdiuqRWh3mtLqFh4cTHh5eobIJCQkMGDCAnj17snz58nMmBwA7d+6kcePGZzxusVjqzSRvXkfXwekAuw3sNlxWG3arFVuhFWuhlcJCKwWFVvILCykotFFos5NjtZNX6KDA7qLAoVHoVCjUVAp1I4WYKMBEjuqLXT39n7sPZs1AoFZAkJ5PgCGXxpZsgoPMNIpsSPv27ejYriMWaRkQokL27NlDdnZ2pc9zOp3s2bOHvLy8GohKCFFRH8V9y39/fI9rQobzR1IgdxkOMXS6PHNwoapUglDXaogSEhLo378/zZs3Z+HChaSmprqPlYxYtHLlSsxmM927F00B/vHHH7Ns2TLeeuutaoujXJpW9CMXvehHr0756xRvu9dPe/HP/Wd5D00HXSv6XF0Dl6toXdNAK1rXXC5cmobD7sDpdOF0OXE4nThdLpxOFw6XC5fThdPlwuXScLo0nFrRusul4dJcOF06DqcLp0vD4dJwuVw4XODUNJwaOF06Lp2idR1cuuJeFq0ruFBxouJCKV4WbTsx4FAM2BUjVsWITTXiUM70T1QBfIpf4KPZ8dFtWHQ7Zt2OSXFgUuwEG1yEGxV8fVUCAiwEBwfQMKIhkY0bExUWTlRwOCZDncyThfA606dP57HHHqvUOZqmodTQkL/PPfccn332GTt37sRsNpOVlVWmzLFjx7j77rvZtGkTAQEBTJo0iblz52KU7hTiAvL1wV949uu3uDpoKH8khTCJQ9ww/U4ZyvQCVqkrYF2rIdq4cSNHjhzhyJEjNG1aehba03tOPfvss/z9998YjUZiYmJ4//33GTVqVLXG8k9/HTnMs+9uL/odj1KUA7jvgcXbxcvS+4rXi8ueKnOqbMm5AHrxjVUv8x4l5ypoStGPcv2cN2FD8avyVN2FUdcw4EJFw6AXL9FQ0VAVDYNStFTRT1s6URUdkwoWBYwqGI1K0cukYjIZMJmNmM0mzD5mzD4WfHx98PXzxdfPh0BfX0ID/An28SfA4oe/2ReDPCAsRK073xGMoqKqv+ue3W5n9OjR9OvXj7fffrvMcZfLxbXXXkujRo3YsmULJ0+e5NZbb8VkMvH8889XezxC1EVb4ncx67NXuTJoALuTw7nZdYhxMyaDX83PZyXqrko9g6CqKuHh4ZWeBE3TNI4fP87GjRsZOHBgpYP0tKr0MU1ISeKlVevc20rx/1MotYJSslry410BBeW0k0BRFPf5JeWU4v2cdr6iKKiKCqqKoiqgqCiqikFVUA0lS0PRuvtlKH6pGIxGDEYVo8GIQVUwGQwYDSpGtXhpUDEbjfgYjVhMRnxMJnyMJiwmIxajCaNqwGQwYlQNNVYjKIQ4O+kTX9aKFSuYPn16mRaEL774guuuu47ExEQiIyMBWLJkCY888gipqanu59zORr5v4c12JR7izv89R3ffi4lPbsFw55/c8+AElAa1O6+VqD018gxCXawhqquaRDTixYemejoMIYQQZ7B161Yuuugid3IAMGTIEO6++2727t3r7pp6OhkGW9QXh1L/5t6PXqCjTxf+Tm7OIOdR7r7/ZkkOBFDJBEFmyRRCCFFfJCUllUoOAPd2UlJSuefIMNiiPjielcTdH84l2tCKlJS2XOo4zoN3j0QNa+Tp0EQdIZ21hRBCeI2ZM2cWdbs8y+vAgQM19vmzZs0iOzvb/Tp+/HiNfZYQNSElL4OpHzxPkCuC/PSL6GFP5JF/DcUQFe3p0EQdIsM0CCGE8BoPPfQQt91221nLtGrVqkLv1ahRI7Zt21ZqX3JysvtYeWQYbOHNsgvzuOuD59ELfdGzexJjS+bxW6/E1Lxi/5sRFw5JEIQQQniNysyTcy79+vXjueeeIyUlhYiICKBodLygoCA6duxYLZ8hRF1RYLcy7eMXyMrRaJBzGdH2NJ4eezGWdh08HZqogyRBEEIIUS8dO3aMjIwMjh07hsvlYufOnQC0adOGgIAABg8eTMeOHbnllluYP38+SUlJPP7449x7773SSiDqFbvTwYPrXuRocgZRBYMIs2cx54aL8O3czdOhiTpKEgQhhBA1ymq1oihKrf/onj17NitXrnRvl4xKtGnTJvr374/BYGDDhg3cfffd9OvXD39/fyZNmsQzzzxTq3EKUZNcmsasz15l199/08o2FH97Hs9f04qAHtU3ca2ofyo1D8KFSsa5FkJ4i7pwvfr+++9Zt24dP//8M/v27aOwsBAAPz8/OnTowCWXXMLIkSPp37+/R+KrTnXh+xbiTHRd5+mvl7Ih7ldi7NditNlYOCCcsAFXezo04SE1Mg/C2XiqhkgIIYTnORwO3njjDV566SXi4+Np2LAhPXr0YOLEiTRo0ABd18nMzOTo0aO8++67vPLKKzRv3pyHHnqIqVOnYjKZPP0nCFGv6LrOS5vfZW3cFro6h+O0O5nXL0iSA1EhVU4QLqQaIiGEEGfXpk0b7HY7kyZNYsyYMfTo0eOs5X///Xc++OADnn/+eRYuXEh8fHztBCrEBeLNXz5h1W9f08M5nHybzsJuBhpdc52nwxJeolJdjM5UQ9SqVasyNUQ7duwgIyOjXtQQSROyEMJbeOp69cYbb3DbbbdVuhXZbrezfPlypk71zpnn5f4g6qLVO75gwber6ekaTpbVyPyOdlqPGefpsEQdUNFrVqUShObNm1ephuidd97BbDZ7bQ2R3ACEEN7Ck9erd999l2uuuYbQ0NBa/VxPkvuDqGvW7fmeJ794i56ua8mwWXihTT7txk8ERfF0aKIOqOg1q1IzKT/66KPEx8czb968cyYHAD179mTevHnEx8cza9asynyUEEIILzNp0iS++uor97bT6eTIkSMejEiIC8s3h37lqS/foofrGtJtPjzfLFuSA1EllUoQpk6dygcffEB6enqlPsRsNntt87EQQoiK+WeDdHZ2Nu3bt+e7774rU3bPnj2sXr26tkITot77+eguHln/f3R3DiXN5s+zTdLocNttkhyIKqlUggBSQySEEKLiztSLddeuXdx66621HI0Q9dMvf+/mwbUv0cUxiFRbIM9EJHHR7XdIciCqrNIJgtQQCSGEEELUDb/8vZv7P17IRdb+pNob8FTYCbpNnQJqpX/iCeFWLf96pIZICCGEEKJ2/fr3bu7/+EU6FQ4k2dGQ2eEn6Xn3XaAaPB2a8HLVNlGaEEIIkZWV5ekQhLgg/Pr3bu77+CU6FAwk3RnEs1GpdL9DWg5E9ZB/RUIIIarNfffdR8OGDbnqqquYPXs2iqKQmJiI0+n0dGhC1Bvf//k79320iJj8geQ4A3muWQbd/3WHJAei2lSpBUFqiIQQQvzTl19+ya5du4iLi2PXrl389NNP6LrOpEmTuOOOO2jZsiUdOnQgJiaG1NRUT4crhFfasO9HnvpsGZ2sg8hz+TC3TR4xEybLA8miWlUpQbjvvvt4/PHH6d69OzExMaVqiIxG6bUkhBAXosGDBzN48GD3tsPhYN++fe6EIS4ujq1bt7Ju3ToAFPlBI0SlrN7xBS9v/Ii2tmuwu2B+DwOtr7/F02GJeqjSv+alhkgIIURFmEwmunbtSteuXbnlllM/YpKTk933ESHEuem6zpItH/Luj5toZh+Gn7OA566KotGVAz0dmqinFP1MQxBVUHk1RHFxcaSkpBR9gKLgcrmqJVhPqei01EII4Wlyvapd8n2LmmZz2nnqq6X8vvNPfFz9ae1I5+kbuxDUvZenQxNeqKLXrPPuDyQ1REIIIYQQ1S89P4vpa1/EdtSEQRtIT2ciMycPxNKqradDE/VcjT0wEBkZWaY/qhBCCCGEOLdDqX9z30cvEpnanmxacLMhnkn3j8cQ0sDToYkLgNePh9WiRQsURSn1mjdvXqkycXFxXH755fj4+BAdHc38+fM9FK0QQgghxNl9sf9n/vXOXMJTepOlNeGxsJPc/sidkhyIWlMvhhx65plnmDJlins7MDDQvZ6Tk8PgwYMZNGgQS5YsYffu3dx+++2EhIRw5513eiJcIYQQQogyrA478zetZNu2/YS7rsag2Xm5l0qr6+6QYUxFraoXCUJgYCCNGjUq99jq1aux2+0sW7YMs9lMp06d2LlzJy+99JIkCEII4SEDBw4kKiqKRx99lI4dO3o6HCE87kBKPI+uf53AE5E41KvopScyY8KVBLVr5+nQxAXI67sYAcybN4/Q0FC6d+/OggULSs3YuXXrVq644grMZrN735AhQzh48CCZmZmeCFcIIS5433//PbGxsXTp0qXUABdCXGgcLidvbP2IacsW4HOiG5m05oEGSTw5c6IkB8JjarQFoTZqiO6//3569OhBw4YN2bJlC7NmzeLkyZO89NJLACQlJdGyZctS50RGRrqPNWhQtj+fzWbDZrO5t3NycmokdiGEuFBpmkZ+fj6bN2/m+++/93Q4QnjEHwkHee7rZQT8HYhFHUKIlsW8K4NoNnCkp0MTF7gaTRBKLvpr1qxh3LhxrFq1qkLnzZw5kxdeeOGsZfbv309MTAwzZsxw7+vSpQtms5mpU6cyd+5cLBZLleKeO3cuTz/9dJXOFUKIC53NZmP69OmMGTOGAQMGnLGcv78/w4YNY9iwYbUYnRCel5KXwas/vs+u3/cR5OxHqhrAzQFpjJs8ElODhp4OT4iaTRCqWkP00EMPcdttt521TKtWrcrd36dPH5xOJ/Hx8bRv355GjRqRnJxcqkzJ9pmeW5g1a1apxCMnJ4fo6OgKxy+EEBcyi8XCypUr6dGjx1kTBCEuNDnWPJZt+5TPftlMq/wu2IxDCSeN5waG0vyyEZ4OTwi3Kj+DYLPZuPvuu9m0adNZy5XUEFVmaNHw8HBiYmLO+jr9mYLT7dy5E1VViYiIAKBfv3788MMPOBwOd5mNGzfSvn37crsXQdHNLSgoqNRLiOrWv39/pk+fXuvniuol/y3K17t3b44ePeqxz4+Pj+eOO+6gZcuW+Pr60rp1a5588knsdnupcjIMtqgNKXkZLNq8mptem8Hhb49jtl5LnhLGIy2tvPjoWJpfdqmnQxSilConCCU1REeOHKnOeCpl69atvPzyy+zatYu//vqL1atX8+CDDzJx4kT3j//x48djNpu544472Lt3L++//z7//e9/S7UQiCJz587l4osvJjAwkIiICEaOHMnBgxo6ImkAACA1SURBVAcr/T7/nJdCURQuu+yyGohYnI/FixfTpUsXdxLcr18/vvjiC0+H5dU+/vhjBg8eTGhoKIqisHPnTk+H5DFz5szhzTff5PDhwx75/AMHDqBpGm+88QZ79+5l0aJFLFmyhEcffdRdpmQY7ObNm/P777+zYMECnnrqKZYuXeqRmEX9ous624/v49HP/49b/u/f/P3tMXzyh5GotmVcWB5v3zeIgRNvQjVXrTu0EDXpvLoYebqGyGKxsGbNGp566ilsNhstW7bkwQcfLPXjPzg4mK+//pp7772Xnj17EhYWxuzZs2WI03Js3ryZe++9l4svvhin08mjjz7K4MGD2bdvH/7+/pV6r+XLlzN06FD39plafITnNG3alHnz5tG2bVt0XWflypVcf/31/PHHH3Tq1MnT4Xml/Px8LrvsMsaMGVNqbpYL0cyZMwkNDaVXr1489thjjBkzhhYtWtTa5w8dOrTUNahVq1YcPHiQxYsXs3DhQkCGwRbVT9d1Dqcd49tD2/j8wM+YE61EOzthMIwk3uBiVGghN97Qn8Coxp4OVYizOq8EYc6cOdxwww1MnjyZtm3bVldMFdajRw9++eWXc5br0qULP/74Yy1E5N2+/PLLUtsrVqwgIiKC33//nSuuuAIoah14/fXX+fTTT/n+++9p3Lgx8+fPZ9SoUaXODQkJOeMzHuIUp9PJtGnTWLVqFSaTibvvvptnnnnG/T0vWrSI48ePExwczOWXX86HH35Y7vt89tlnjB8/ntdff50JEybgdDqZMWMG77zzDgaDgX/9618kJSWRnZ3N2rVrARg+fHip93juuedYvHgxv/zyiyQIZ5Cfn8/dd9/Nxx9/TGBgIP/+979LHS8ZrjM+Pv6M76EoCkuWLGH9+vV89913NG/enGXLlhEeHs6//vUvfvvtN7p27cqqVato3bp1Tf45NcrX15esrCxyc3OZOXMms2bNonHjxnTt2tX96tKlCx06dKi1mLKzs2nY8NQDoGcaBvuFF14gMzPzjN1Qq0OB3Yrd5UBBKZ7/qrjFtfh40bpSal1RKF6emjDrbMdE7cgqzGX78f1sO7aHLfG7KExNp4e1GU3pxl/GcDLVPP7VXGPIiIH4Nwj2dLhCVMh5JQieriESNSs7Oxug1A0V4IknnmDevHn897//ZdWqVYwdO5bdu3fX6o2+vli5ciV33HEH27ZtY/v27dx55500a9aM7t27c//997Nq1SouueQSMjIyzpjkxsbGctdddxEbG8t1110HwAsvvMDq1atZvnw5HTp04L///S9r16494wOjLpeLDz74gPz8fPr161djf6+3e/jhh9m8eTPr1q0jIiKCRx99lB07dtCtW7dKvc+zzz7LSy+9xEsvvcQjjzzC+PHjadWqFbNmzaJZs2bcfvvtTJs2zau7fG3cuBGA1NRU4uLi2L17N3FxccTFxfHyyy9jtVpRFAWXy1Ur8Rw5coRXX33V3XoAnh0G+/WfP2DV759V6dyKOD1pANyJw+kJhaqoGBQVg2ooWldVVEXFWLxU1VPHDcXbpx8v2ec+XlzWbDBiMhgxG0zupdloxKQaMRtNmAwmzKcdd5cxGDEbzfgYzZiNJiwGU9HSaC56FZf3VBJUYLeSmJPKiewUDqceY3/yUfYnHyUxJ5Uom0IvrRUdXR3ZpzZmt0GlmzmXJ7sG0GfQEAymejEvrbiAnNe/2LpYQ1RXFTpsxGck1vrntmgYha+p8v0bNU1j+vTpXHrppXTu3LnUsdGjR/Ovf/0LKPqhs3HjRl599VVef/11d5lx48ZhMBjc2++++y4jR46s2h9RFTYrJB2vvc8r0SgaLD4VLh4dHc2iRYtQFIX27duze/duFi1axJw5c/D39+e6664jMDCQ5s2b07179zLnv/baazz22GOsX7+eK6+80r3/1VdfZdasWdxwww0A/N///R+ff/55mfN3795Nv379sFqtBAQE8Mknn3hsVlurw8XxtLxa/czosAB8TIZzFwTy8vJ4++23effdd7nqqquAogSvadOmlf7cyZMnM2bMGAAeeeQR+vXrxxNPPMGQIUMAeOCBB5g8eXKl37cuCg8P56qrrnJ/Z1B0fTl8+DC7d++u9PtVZhjsEgkJCQwdOpTRo0efd9ev6hoG+/rOV9KtSXtAR9d1AHSKuqgU/R9Qsl50uHi9uOxpx4pLFy31U+VK3o+S4/84pukarv9v7+6DmrjzP4C/NxsSKISgiAKtKCKC+FSVYlFbdESt09F6PbVWLfjQ2jnRQrEeno5PUxUfymmrHmp/Psx5Ve+up2d1rrU+e/Z8wHKcdVR8okqlilprEAvkYX9/BLZGqARI2Cx9v2YYdjeJ+04k+8lnH76x2WC1We3TlfO2R35bqm6z2W+32aruZ33sfvbfZqsZpRUPYbZaUGG1wGw1y9MVldPmR6brQ6/1gk6sqZGobCZEnTyvE6saDPtv+3zltNYLGmhgtlkqc9kzlVvMMJWXwlT2AD/+9AA//lSC7013cO+nn5vBMEGPeLE1Bv3UDjfKnsUFMQinBBEdtCWY2E6LhMReCGwZWK/nR+QJGtQgeNoeIk/27Q9FGL3lD42+3u1vZKJjq/Da7/iYlJQUnD17FseOHat22+N7mOPj46tdjLlixQokJibK8yEhjXy+5c1C4P1pjbtOAJizCmjj/Ol2zz//vMPesPj4eGRlZWHAgAFo06YN2rVrJ59L/Zvf/AZPPfWUfN9PP/0UxcXF+Oqrr/Dcc8/Jy+/fv49bt24hLi5OXiaKInr27Ambzeaw/qioKOTl5eH+/fv49NNPkZycjCNHjijSJBTeeYCp/1f9782dVr/ZF5Ehzh3yv3LlCioqKtCrVy95WfPmzREVFVXn9Xbt2lWertpj3aVLF4dlZWVlMJlMTXIUNY1Gg6ioqHq9dnUdBruoqAj9+/dH7969q118rOQw2JFBYYgMCqvz45oSSZLsH8xtFlRYzKiw2n/KLWZUWMwos1RUzlc8Nm+/vdxagXJLxSPzZnm+zFyO+2UP5MeWW82oqLyt3FKB8kcaFI0gyEcztBotdFot/PV+MHr7wujth0i/lgjThgD3RfxgEnCtVIt8oRmOiD7QSxZ0M5TjrXZ+eC6+G0JD2BRQ0+CSY16u3kPUFLVtHortb2Qqst66mjp1Kvbs2YOjR4/Wa+8oYC+u7du3r9djXSK4tf3DuhLrdQE/Pz/k5ubi8OHD+PLLLzF37lzMnz8fOTk5CAgIAAB0794dubm52LhxI2JjY+t12F2n08n/Tz179kROTg4+/PBDrFu3ziXPoy5at/DD6jcbd7Sr1i38GnV9Vby8vOTpqv+3mpY93tB5spiYGMycOROjR492elCC8vJybN26FcuXL8e5c+ecekxQUBCCgoKcuu+NGzfQv39/9OzZE5s2bYJG4zhwX3x8PGbPng2z2Sy//s4Mg13fL+EkR4IgQKf1gg5e8NX5NPr6bZINtvIyaB+WwlbyI378vhjFN+/g9p37uH33J3z30IbrFV44IQZgr2jPZ0AFov2tGB5qRKeYcHTqFA6d1rmjkERq4raT4hqyh6gp8vHS12tPfmOSJAnTpk3Dzp07cfjw4Wrn5lY5ceIEkpKSHOZrOv1FUXrvOu3JV8rJkycd5k+cOIHIyEj59KzExEQkJiZi3rx5CAgIwMGDB/Hqq68CACIiIpCVlYV+/fpBFEWsXr0agH3krlatWiEnJ0e+uNxqtTp1rrzNZnM4v7oxeXuJTu/NV0JERAS8vLxw8uRJhIXZ9/zeu3cPFy9edDi969dq/PjxSE9PR2pqKoYNG4bExET06NED4eHh8pGv0tJSFBQU4PTp09i/fz92794NnU6HGTNmuDzPjRs30K9fP7Rp0wYffPABbt++Ld9WdXRgzJgxWLBgASZNmoSMjAycPXsWH374IVasWOHyPI87nn8L31y/C40gQKMRIFb+1jj8tu/d1ggCRI0Araix/9YIEDUaiKIArUYDrVg5rxHkae0j93d4rKipfLwAsXLaUy5sliQJNpsNNosFNrMFktUCa4UZktViX2axwmYxw2a2wGa1z0tWq/02q9U+b66AuawM5eVmlJeVo6zCjPIKC8oqLCg3W1FaYUVJhQ0mM1Bi08AEHe5rfHBX6wezIML+sSgQelgR6mVBm2YadG/pj7CwELRr/wxCA/085vUicqc6NQiNtYeIlJGSkoKtW7di165dMBgMuHnzJgD7B04fn5/37vz9739HbGws+vbti08++QSnTp3Chg0blIqtatevX0d6ejrefvtt5ObmYtWqVcjKysKePXtw9epVvPjii2jWrBn+9a9/wWazVWu4O3TogEOHDqFfv37QarVYuXIlAGDatGnIzMxE+/btER0djVWrVuHevXsOhe0Pf/gDhgwZgrCwMJSUlGDr1q04fPgw9u7d25gvgWr4+flh0qRJmDFjBgIDA9GyZUvMnj3bYa/0Dz/8gOvXr6OoyH69UdX3iAQHBzf5Ub1+//vf43e/+x02bNiAzZs3Y8uWLfLfm1ZrLzUWi/2UDkmS0LlzZyxYsAATJ050y2lU+/btw+XLl3H58uVqR0KrzuNXchjs68dP4GRhOawAbBCq/Vgh2K8TeGTeUv+vLnoiDSRoIUEUJIiV09rKabFy2n79QtV1Eo9MA5Ak4bH5qunHlsvz1Z+fTXD1c9Pi8Y84eljhq7HB4CXB/ynAoNci3McL/r56tAh4Ci1bNkdQcAu0DPCFwceLjQD9qtWpQfC0PUTkWtnZ2QDs3wz7qE2bNjmc87tgwQJs374dU6ZMQUhICLZt26bYha1ql5SUhJ9++glxcXEQRRGpqamYPHkyvvrqK+zYsQPz589HWVkZIiMjsW3bthqHH42KisLBgwflIwlZWVnIyMjAzZs3kZSUBFEUMXnyZAwePNjhwvHi4mIkJSXh+++/h9FoRNeuXbF3714MHDiwMV8CVVm+fDkePHiAoUOHwmAwYPr06fJoXwDw2WefOVxcPHr0aADAvHnzMH/+/MaO2+gMBgPS0tKQlpaGb7/9Fv/5z39w4cIF3L17FwAQGBiI6OhoxMfH/+IRSlcZP358rdcqAMoNg/1a5+Z4TcwDpMrTyCTJPi1/wq78WC39/GPfwy7BCsBiAywSYJUACwRYbZJ9WhIqlwv25VJVc/HoPGCBxr688n422B9X4/LKsZCEyqMZEB79Qkw4LLNPP3o/zc/LNPZloiBAqDpKIgjQiBoIlaMhCWLlaElaERqNBoIoQiOK0GhEaLQaCBoRolb8eblWa/8tihC0IkSdDqJeD71eB28vEd5eIvReInRaDT/wE9WBIFXtSnFSSUmJvIfozJkzte4hmjhxotv2EDUWk8kEo9GI+/fvq/p5uIIgCNi5c2fjjkhEDWaz2dCxY0eMGjUK77//vtJxyI2U3F4lJiYiJSUFr7zySrXz/Zsq1gciUhNnt1l1vgahpKTEY/YQEVHNrl27hi+//BIJCQkoLy/H6tWrUVBQgDFjxigdjZqwCxcuYMSIEQgNDcXkyZPx1ltvNflTq4iImqI6NwgdOnRAamoqZs6cibZt2/KL0Yg8kEajwebNm/Hee+/JR/P279/P7yQht7p+/Tp27dqF7OxszJ8/HwsXLsTw4cORkpIiXzBPRESer86nGA0ZMgR79+5FYGAgZs2ahZSUFKcvWFYrHkImIrXwlO3VlStXkJ2djc2bN+PevXvo2LEjpkyZgqSkJPj5KTO8rDt4yutNROQMZ7dZdT5J9PPPP8eRI0cQFRWF6dOno0OHDtiyZUuDwhIRUdMSERGBDz74ADdu3MCmTZtgMBgwdepUhIaGYsqUKfyOHCIiD1avq8heeOEFHDt2DLt370azZs2QnJyM7t2744svvnB1PiIiUjG9Xo+kpCQcP34ceXl5GDt2LP7yl7/g2Wef5WlHREQeqs6nGNVk+/btmDt3Lq5cuYKEhAQsW7YMsbGxrsjnEXgImYjUQsntVV5eHkwmE0wmE0pKSuTpx+e/++47nDp1CoIgwGq1NmpGV2N9ICI1cdsoRjUZPXo0Ro4ciY0bN2LhwoXo1asXfvvb32LRokWIjPT8b7MlIqKG69Gjhzz0tSiKMBgMNf507NgRcXFxMBgMCicmIqKauKRBAOzF4K233kJycjLWrFmDJUuWoHPnzpg0aRL+9Kc/uWo1RETkoSIiInDlyhV06tQJ6enpGDNmDPR6vdKxiIiojlz6TTZ37tzByZMn4efnh2HDhsFms2HdunWuXAUREXmoS5cu4YsvvkD79u0xefJkPP3008jIyMC3336rdDQiIqqDOh9BkCQJBQUFuHDhAs6fPy//zs/Pxw8//CDfR6fToWPHjoiJiXF5aCIi8kyDBg3CoEGDUFhYiPXr12PDhg3IysrCSy+9hGnTpmHw4MFKRyQiolrU+SJlHx8fVFRUALA3Aj4+PoiOjkZMTIzcEMTExKB9+/bQaFx6gEIxvAiNiNTC07ZXFosF//jHP5CdnY2jR48iIiICU6ZMwYQJExAQEKB0vAbztNebiOhJnN1m1blBmDBhgtwExMTEoG3btvJFaU0VCwARqYUnb6/Onz+P7Oxs/PnPf4bFYsGYMWOwfv16pWM1iCe/3kREj3Nbg/BrxAJARGqh5Pbq9OnTTg1zWlRUhNOnT3OYUyKiRtaow5w2dVU9lMlkUjgJEdGTVW2nlNj3ExcXB0EQaly3TqeDv78/jEYjjEYj+vfvD6PR2OgZXY31gYjUxNkawQbBCSUlJQCA1q1bK5yEiMg5JSUljf4BfOPGjXIDYDQaHRqCpjrcKesDEalRbTWCpxg5wWazoaioCAaDoU7XW5hMJrRu3RqFhYWqOfSsxsyAOnOrMTOgztxqzAzUL7ckSSgpKUFoaGiTGSjCk/2a6gOgztxqzAyoM7caMwPqzF3fzM7WCB5BcIJGo8EzzzxT78f7+/ur5g+uihozA+rMrcbMgDpzqzEzUPfcTeHUHbX4NdYHQJ251ZgZUGduNWYG1Jm7PpmdqRHcvURERERERDI2CEREREREJGOD4EZ6vR7z5s1T1cV5aswMqDO3GjMD6sytxsyAenNT7dT6f6vG3GrMDKgztxozA+rM7e7MvEiZiIiIiIhkPIJAREREREQyNghERERERCRjg0BERERERDI2CEREREREJGOD4CZr1qxB27Zt4e3tjV69euHUqVNKR3qizMxMPPfcczAYDGjZsiWGDx+O/Px8pWPVyZIlSyAIAtLS0pSOUqsbN25g3LhxCAwMhI+PD7p06YLTp08rHesXWa1WzJkzB+Hh4fDx8UFERATef/99eNoYB0ePHsXQoUMRGhoKQRDwz3/+0+F2SZIwd+5chISEwMfHB4mJibh06ZIyYSs9KbPZbEZGRga6dOkCX19fhIaGIikpCUVFRcoFJpdQU41gfWhcaqsPgDpqhBrrA6BcjWCD4AZ//etfkZ6ejnnz5iE3NxfdunXD4MGDUVxcrHS0X3TkyBGkpKTgxIkT2LdvH8xmMwYNGoTS0lKlozklJycH69atQ9euXZWOUqt79+6hT58+8PLywueff45z584hKysLzZo1UzraL1q6dCmys7OxevVqnD9/HkuXLsWyZcuwatUqpaM5KC0tRbdu3bBmzZoab1+2bBk++ugjrF27FidPnoSvry8GDx6MsrKyRk76sydlfvjwIXJzczFnzhzk5uZix44dyM/Px7BhwxRISq6ithrB+tB41FgfAHXUCDXWB0DBGiGRy8XFxUkpKSnyvNVqlUJDQ6XMzEwFU9VNcXGxBEA6cuSI0lFqVVJSIkVGRkr79u2TEhISpNTUVKUjPVFGRobUt29fpWPUycsvvyxNnDjRYdmrr74qjR07VqFEtQMg7dy5U5632WxScHCwtHz5cnnZjz/+KOn1emnbtm0KJKzu8cw1OXXqlARAunbtWuOEIpdTe41gfXAfNdYHSVJfjVBjfZCkxq0RPILgYhUVFfj666+RmJgoL9NoNEhMTMTx48cVTFY39+/fBwA0b95c4SS1S0lJwcsvv+zwmnuyzz77DLGxsRg5ciRatmyJ7t274+OPP1Y61hP17t0bBw4cwMWLFwEA//vf/3Ds2DEMGTJE4WTOKygowM2bNx3+ToxGI3r16qW696YgCAgICFA6CtVDU6gRrA/uo8b6AKi/RjSV+gC4rkZoXROHqty5cwdWqxWtWrVyWN6qVStcuHBBoVR1Y7PZkJaWhj59+qBz585Kx3mi7du3Izc3Fzk5OUpHcdrVq1eRnZ2N9PR0zJo1Czk5OXjnnXeg0+mQnJysdLwazZw5EyaTCdHR0RBFEVarFYsWLcLYsWOVjua0mzdvAkCN782q2zxdWVkZMjIy8Prrr8Pf31/pOFQPaq8RrA/upcb6AKi/RjSF+gC4tkawQaBqUlJScPbsWRw7dkzpKE9UWFiI1NRU7Nu3D97e3krHcZrNZkNsbCwWL14MAOjevTvOnj2LtWvXemwB+Nvf/oZPPvkEW7duRadOnZCXl4e0tDSEhoZ6bOamxmw2Y9SoUZAkCdnZ2UrHoV8p1gf3UmN9AFgjPIGrawRPMXKxFi1aQBRF3Lp1y2H5rVu3EBwcrFAq502dOhV79uzBoUOH8Mwzzygd54m+/vprFBcXo0ePHtBqtdBqtThy5Ag++ugjaLVaWK1WpSPWKCQkBDExMQ7LOnbsiOvXryuUqHYzZszAzJkzMXr0aHTp0gVvvPEG3n33XWRmZiodzWlV7z81vjerNvzXrl3Dvn37ePRAxdRcI1gf3E+N9QFQf41Qc30A3FMj2CC4mE6nQ8+ePXHgwAF5mc1mw4EDBxAfH69gsieTJAlTp07Fzp07cfDgQYSHhysdqVYDBgzAN998g7y8PPknNjYWY8eORV5eHkRRVDpijfr06VNtiMCLFy+iTZs2CiWq3cOHD6HROG4uRFGEzWZTKFHdhYeHIzg42OG9aTKZcPLkSY9+b1Zt+C9duoT9+/cjMDBQ6UjUAGqsEawPjUeN9QFQf41Qa30A3FcjeIqRG6SnpyM5ORmxsbGIi4vDypUrUVpaigkTJigd7RelpKRg69at2LVrFwwGg3zOndFohI+Pj8LpamYwGKqdA+vr64vAwECPPjf23XffRe/evbF48WKMGjUKp06dwvr167F+/Xqlo/2ioUOHYtGiRQgLC0OnTp3w3//+F3/84x8xceJEpaM5ePDgAS5fvizPFxQUIC8vD82bN0dYWBjS0tKwcOFCREZGIjw8HHPmzEFoaCiGDx/ukZlDQkIwYsQI5ObmYs+ePbBarfJ7s3nz5tDpdErFpgZQW41gfWg8aqwPgDpqhBrrA6BgjWjQGEj0i1atWiWFhYVJOp1OiouLk06cOKF0pCcCUOPPpk2blI5WJ2oYxk6SJGn37t1S586dJb1eL0VHR0vr169XOtITmUwmKTU1VQoLC5O8vb2ldu3aSbNnz5bKy8uVjubg0KFDNf4dJycnS5JkH8puzpw5UqtWrSS9Xi8NGDBAys/P99jMBQUFv/jePHTokKK5qWHUVCNYHxqX2uqDJKmjRqixPkiScjVCkCQP+po7IiIiIiJSFK9BICIiIiIiGRsEIiIiIiKSsUEgIiIiIiIZGwQiIiIiIpKxQSAiIiIiIhkbBCIiIiIikrFBICIiIiIiGRsEIiIiIiKSsUEgIiIiIiIZGwQiNxg/fjwEQYAgCOjcubPDbTk5Oejduzd8fX0hCALy8vIavL6VK1fK6xMEAXfu3Gnwv0lERO7BGkGeTqt0AKKmqkWLFlixYgUCAgLkZWazGSNHjoS3tzdWrFiBp556Cm3atGnwul566SW0aNECO3bswM6dOxv87xERkXuxRpAnY4NA5Ca+vr4YN26cw7IrV67g2rVr+Pjjj/Hmm2+6bF3R0dGIjo7G5cuXufEnIlIB1gjyZDzFiKgBysrK6nT/4uJiAHDYY0RERE0TawSpFRsEIicNHDgQvXv3xr///W8kJCTAx8cHqampTj9+/PjxSEhIAACMHDkSgiCgX79+AID58+dDEARcvHgR48aNg9FoRFBQEObMmQNJklBYWIhXXnkF/v7+CA4ORlZWljueIhER1RNrBDUlbBCInHTmzBncvXsXw4cPR3x8PFauXIlRo0Y5/fi3334bs2bNAgC888472LJlC2bPnu1wn9deew02mw1LlixBr169sHDhQqxcuRIDBw7E008/jaVLl6J9+/Z47733cPToUZc+PyIiqj/WCGpKeA0CkROKi4tRXFyMhw8fIicnB9HR0XX+N+Lj41FeXo7FixfjhRdewIgRI6rdJy4uDuvWrQMATJ48GW3btsX06dORmZmJjIwMAMDrr7+O0NBQbNy4ES+++GLDnhgRETUYawQ1NTyCQOSEM2fOAABmzZpVrw2/sx69KE0URcTGxkKSJEyaNEleHhAQgKioKFy9etVtOYiIyHmsEdTUsEEgcsI333wDwH54153CwsIc5o1GI7y9vdGiRYtqy+/du+fWLERE5BzWCGpq2CAQOeHMmTMICQlBu3bt3LoeURSdWgYAkiS5NQsRETmHNYKaGjYIRE44c+YMunXrpnQMIiLyQKwR1NSwQSCqhdVqxblz57jxJyKialgjqClig0BUi0uXLqGsrIwbfyIiqoY1gpoiNghEtai6+Kxr164KJyEiIk/DGkFNkSDxKhYilxs/fjwOHjyI3NxcaLVaBAQEuHV9ZWVlePDgAZYtW4bly5fj9u3b1Ua1ICIiz8AaQZ6ORxCI3KSwsBBBQUHo27ev29e1du1aBAUFYfny5W5fFxERNRxrBHkyHkEgcoNz586hqKgIAODn54fnn3/eresrLCxEfn6+PJ+QkAAvLy+3rpOIiOqHNYI8HRsEIiIiIiKS8RQjIiIiIiKSsUEgIiIiIiIZGwQiIiIiIpKxQSAiIiIiIhkbBCIiIiIikrFBICIiIiIiGRsEIiIiIiKSsUEgIiIiIiIZGwQiIiIiIpKxQSAiIiIiItn/A7mtXTdO44yrAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -630,6 +655,7 @@ "axes = np.array(axes)\n", "for i, E in enumerate(energies):\n", " for model_name, (rho_n_q, rho_p_q) in densities_at_nodes.items():\n", + " V_C_q = folder.V_coulomb(rho_p_q, mode=\"density\", include_exchange=True)\n", " V, W = jlm.potential_JLMB(\n", " folder,\n", " rho_n_q,\n", @@ -637,6 +663,8 @@ " projectile,\n", " target,\n", " E,\n", + " V_C=V_C_q,\n", + " parameterization=\"talys\",\n", " r_out=R,\n", " lambda_V=jlm.lambda_v0(E),\n", " lambda_V1=jlm.lambda_v1(E),\n", @@ -955,28 +983,47 @@ "outputs": [], "source": [ "def get_potentials(solver, reaction, r_grid, rho_n, rho_p):\n", + " rho_n_q = folder.interp_to_quad(r_grid, rho_n)\n", + " rho_p_q = folder.interp_to_quad(r_grid, rho_p)\n", + " V_C_q = folder.V_coulomb(\n", + " rho_p_q,\n", + " mode=\"density\",\n", + " include_exchange=True,\n", + " )\n", " V_C = folder.V_coulomb(\n", - " folder.interp_to_quad(r_grid, rho_p),\n", + " rho_p_q,\n", " mode=\"density\",\n", " include_exchange=True,\n", " r_out=solver.radial_grid(),\n", " )\n", + " jlmb_kwargs = {}\n", + " jlm_kwargs = {}\n", + " if reaction.projectile == proton:\n", + " jlmb_kwargs = {\n", + " \"V_C\": V_C_q,\n", + " \"parameterization\": \"talys\",\n", + " }\n", + " jlm_kwargs = {\n", + " \"V_C\": V_C,\n", + " \"parameterization\": \"talys\",\n", + " }\n", " V_jlmb, W_jlmb = jlm.potential_JLMB(\n", " folder,\n", - " folder.interp_to_quad(r_grid, rho_n),\n", - " folder.interp_to_quad(r_grid, rho_p),\n", + " rho_n_q,\n", + " rho_p_q,\n", " reaction.projectile,\n", " reaction.target,\n", " kinematics.Ecm,\n", + " **jlmb_kwargs,\n", " r_out=solver.radial_grid(),\n", " )\n", - "\n", " V_jlm, W_jlm = jlm.potential_JLM(\n", " solver.radial_grid(),\n", " np.interp(solver.radial_grid(), r_grid, rho_n + rho_p),\n", " reaction.projectile,\n", " reaction.target,\n", " kinematics.Ecm,\n", + " **jlm_kwargs,\n", " )\n", " return V_C, (V_jlm, W_jlm), (V_jlmb, W_jlmb)" ] @@ -1003,8 +1050,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 16.6 ms, sys: 16 μs, total: 16.6 ms\n", - "Wall time: 16.3 ms\n" + "CPU times: user 9.77 ms, sys: 993 μs, total: 10.8 ms\n", + "Wall time: 10 ms\n" ] } ], @@ -1030,7 +1077,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1129,8 +1176,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 23.8 ms, sys: 0 ns, total: 23.8 ms\n", - "Wall time: 22.9 ms\n" + "CPU times: user 19.8 ms, sys: 981 μs, total: 20.8 ms\n", + "Wall time: 20.1 ms\n" ] } ], @@ -1249,8 +1296,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 31.9 ms, sys: 977 μs, total: 32.9 ms\n", - "Wall time: 32 ms\n" + "CPU times: user 40 ms, sys: 0 ns, total: 40 ms\n", + "Wall time: 39.5 ms\n" ] } ], diff --git a/examples/notebooks/tabulated_density_demo.ipynb b/examples/notebooks/tabulated_density_demo.ipynb index 0234276b..e1862655 100644 --- a/examples/notebooks/tabulated_density_demo.ipynb +++ b/examples/notebooks/tabulated_density_demo.ipynb @@ -110,13 +110,21 @@ "rho_p_bskg3, rho_n_bskg3 = density.densities(A, Z, r, model=\"bskg3\")\n", "\n", "table = density.density_table(A, Z, model=\"d1m\")\n", - "proton_number = 4.0 * np.pi * np.trapezoid(\n", - " table.radial_grid**2 * table.proton_density_grid,\n", - " table.radial_grid,\n", + "proton_number = (\n", + " 4.0\n", + " * np.pi\n", + " * np.trapezoid(\n", + " table.radial_grid**2 * table.proton_density_grid,\n", + " table.radial_grid,\n", + " )\n", ")\n", - "neutron_number = 4.0 * np.pi * np.trapezoid(\n", - " table.radial_grid**2 * table.neutron_density_grid,\n", - " table.radial_grid,\n", + "neutron_number = (\n", + " 4.0\n", + " * np.pi\n", + " * np.trapezoid(\n", + " table.radial_grid**2 * table.neutron_density_grid,\n", + " table.radial_grid,\n", + " )\n", ")\n", "\n", "assert np.isclose(proton_number, Z, rtol=1e-4)\n", @@ -143,23 +151,27 @@ "source": [ "fig, axes = plt.subplots(1, 2, figsize=(10, 4), sharey=True)\n", "\n", - "axes[0].plot(r, rho_p_d1m, color='r', label=\"p\", linewidth=2)\n", - "axes[0].plot(r, rho_n_d1m, color='b', label=\"n\", linewidth=2)\n", - "axes[0].plot(r, rho_p_d1m + rho_n_d1m, color='g', label=\"matter\", linestyle=\"--\", linewidth=2)\n", + "axes[0].plot(r, rho_p_d1m, color=\"r\", label=\"p\", linewidth=2)\n", + "axes[0].plot(r, rho_n_d1m, color=\"b\", label=\"n\", linewidth=2)\n", + "axes[0].plot(\n", + " r, rho_p_d1m + rho_n_d1m, color=\"g\", label=\"matter\", linestyle=\"--\", linewidth=2\n", + ")\n", "axes[0].set_title(\"D1M\")\n", "axes[0].set_xlabel(r\"$r$ [fm]\")\n", "axes[0].set_ylabel(r\"$\\rho(r)$ [fm$^{-3}$]\")\n", "axes[0].legend()\n", "\n", - "axes[1].plot(r, rho_p_bskg3, color='r', label=\"p\", linewidth=2)\n", - "axes[1].plot(r, rho_n_bskg3, color='b', label=\"n\", linewidth=2)\n", - "axes[1].plot(r, rho_p_bskg3 + rho_n_bskg3, color='g', label=\"total\", linestyle=\"--\", linewidth=2)\n", + "axes[1].plot(r, rho_p_bskg3, color=\"r\", label=\"p\", linewidth=2)\n", + "axes[1].plot(r, rho_n_bskg3, color=\"b\", label=\"n\", linewidth=2)\n", + "axes[1].plot(\n", + " r, rho_p_bskg3 + rho_n_bskg3, color=\"g\", label=\"total\", linestyle=\"--\", linewidth=2\n", + ")\n", "axes[1].set_title(\"BSKG3\")\n", "axes[1].set_xlabel(r\"$r$ [fm]\")\n", "axes[1].legend()\n", "\n", "fig.suptitle(r\"$^{16}$O\", fontsize=20)\n", - "fig.tight_layout()\n" + "fig.tight_layout()" ] }, { @@ -183,9 +195,9 @@ "outputs": [], "source": [ "def norm_and_rms_radii(rho, R):\n", - " m0 = 4*np.pi * np.trapezoid(rho * R**2, R)\n", - " m2 = 4*np.pi * np.trapezoid(rho * R**4, R)\n", - " return m0, np.sqrt(m2 / m0) " + " m0 = 4 * np.pi * np.trapezoid(rho * R**2, R)\n", + " m2 = 4 * np.pi * np.trapezoid(rho * R**4, R)\n", + " return m0, np.sqrt(m2 / m0)" ] }, { @@ -198,7 +210,7 @@ "def print_density_stats(rho_p, rho_n, R):\n", " N, rms_n = norm_and_rms_radii(rho_n, R)\n", " Z, rms_p = norm_and_rms_radii(rho_p, R)\n", - " Z, rms_m = norm_and_rms_radii(rho_p+rho_n,R)\n", + " Z, rms_m = norm_and_rms_radii(rho_p + rho_n, R)\n", " print(f\"N: {N:1.2f}\")\n", " print(f\"Z: {Z:1.2f}\")\n", " print(f\"rms_n: {rms_n:1.2f} fm\")\n", @@ -206,10 +218,11 @@ " print(f\"rms_m: {rms_m:1.2f} fm\")\n", " print(f\"nskin: {rms_n - rms_p:1.3f} fm\")\n", "\n", + "\n", "def plot_densities(ax, rho_p, rho_n, R):\n", - " ax.plot(R, rho_n, color='b', label=\"n\", linewidth=2)\n", - " ax.plot(R, rho_p, color='r', label=\"p\", linewidth=2)\n", - " ax.plot(R, rho_n + rho_p, color='g', label=\"total\", linewidth=2)" + " ax.plot(R, rho_n, color=\"b\", label=\"n\", linewidth=2)\n", + " ax.plot(R, rho_p, color=\"r\", label=\"p\", linewidth=2)\n", + " ax.plot(R, rho_n + rho_p, color=\"g\", label=\"total\", linewidth=2)" ] }, { @@ -261,7 +274,7 @@ "print(\"208-Pb\")\n", "print(\"\\n2pf:\")\n", "print(\"=======================\")\n", - "print_density_stats( np.array(rho_p_2pf(R)), np.array(rho_n_2pf(R)), R)\n", + "print_density_stats(np.array(rho_p_2pf(R)), np.array(rho_n_2pf(R)), R)\n", "\n", "print(\"\\nd1m:\")\n", "print(\"=======================\")\n", @@ -290,8 +303,8 @@ } ], "source": [ - "fig, axes = plt.subplots( 3, 1, figsize=(6, 7), sharex=True)\n", - "fig.suptitle(r\"$^{208}$Pb\", fontsize=20 )\n", + "fig, axes = plt.subplots(3, 1, figsize=(6, 7), sharex=True)\n", + "fig.suptitle(r\"$^{208}$Pb\", fontsize=20)\n", "plot_densities(axes[0], np.array(rho_p_2pf(R)), np.array(rho_n_2pf(R)), R)\n", "plot_densities(axes[1], rho_p_d1m, rho_n_d1m, R)\n", "plot_densities(axes[2], rho_p_bskg3, rho_n_bskg3, R)\n", @@ -307,9 +320,9 @@ "axes[1].set_title(r\"D1M\")\n", "axes[2].set_title(r\"BSKG3\")\n", "\n", - "axes[0].set_xlim([-0.1,11])\n", + "axes[0].set_xlim([-0.1, 11])\n", "plt.tight_layout()\n", - "plt.show()\n" + "plt.show()" ] }, { diff --git a/pyproject.toml b/pyproject.toml index ef12f3c9..94308f17 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,6 +48,7 @@ examples = [ "jupyter", "pytest", "matplotlib", + "black[jupyter]>=26.3.1", ] lint = [ diff --git a/src/jitr/folding/folding.py b/src/jitr/folding/folding.py index 7dab68ab..e30cca86 100644 --- a/src/jitr/folding/folding.py +++ b/src/jitr/folding/folding.py @@ -48,6 +48,20 @@ def __init__(self, r_max: float = 20.0, n_quad: int = 200) -> None: nodes, weights = leggauss(self.n_quad) self.r_q = np.asarray(0.5 * self.r_max * (nodes + 1.0), dtype=float) self.w_q = np.asarray(0.5 * self.r_max * weights, dtype=float) + self._D = self._build_diff_matrix() + + def _build_diff_matrix(self) -> FloatArray: + r = self.r_q + w = self.w_q + idx = np.arange(len(r)) + lam = np.sqrt(r * (self.r_max - r) * w) + signs = (-1.0) ** (idx[:, None] + idx[None, :]) + lam_ratio = lam[None, :] / lam[:, None] + r_diff = r[:, None] - r[None, :] + with np.errstate(divide="ignore", invalid="ignore"): + D = np.where(r_diff != 0.0, signs * lam_ratio / r_diff, 0.0) + np.fill_diagonal(D, -D.sum(axis=1)) + return D def interp_to_quad(self, r_grid: ArrayLike, f_grid: ArrayLike) -> FloatArray: """Interpolate tabulated data onto the quadrature grid. @@ -74,6 +88,29 @@ def integrate(self, f_q: ArrayLike) -> float: return float(np.sum(self.w_q * np.asarray(f_q, float))) + def differentiate(self, f_q: ArrayLike) -> FloatArray: + """Differentiate a quantity sampled on the quadrature grid. + + Uses the Lagrange–Gauss-Legendre differentiation matrix (Baye 2015). + Exact for polynomials of degree ≤ ``n_quad`` − 1; requires no + grid-uniformity assumption. + + The off-diagonal elements are derived from the Lagrange-Legendre + barycentric weights λ̃_j = √(r_j (r_max − r_j) w_j): + + D_{ij} = (−1)^(i+j) λ̃_j / (λ̃_i (r_i − r_j)) i ≠ j + + The diagonal is set by the row-sum condition ∑_j D_{ij} = 0, + which holds because d/dr [∑_j l_j(r)] = 0 for any Lagrange basis. + + Args: + f_q: Function values sampled on ``self.r_q``. + + Returns: + Derivative df/dr sampled on ``self.r_q``. + """ + return self._D @ np.asarray(f_q, dtype=float) + def Z_from_density(self, rho_q: ArrayLike) -> float: """Compute the particle number implied by a spherical density. diff --git a/src/jitr/folding/jlm.py b/src/jitr/folding/jlm.py index 80fae586..995b8811 100644 --- a/src/jitr/folding/jlm.py +++ b/src/jitr/folding/jlm.py @@ -2,19 +2,21 @@ from __future__ import annotations -from typing import TypeAlias +from dataclasses import dataclass +from typing import Literal, TypeAlias import numpy as np from numpy.typing import NDArray +from scipy.interpolate import CubicSpline from ..utils import poly -from ..utils.constants import ALPHA, HBARC FloatArray: TypeAlias = NDArray[np.float64] ScalarOrArray: TypeAlias = float | FloatArray PolynomialValue: TypeAlias = float | FloatArray Projectile: TypeAlias = tuple[int, int] Target: TypeAlias = tuple[int, int] +JLMRealMode: TypeAlias = Literal["linearized_delta_c", "shifted"] # --------------------------------------------------------------------------- # Table I — V_0(ρ, E) = Σ a_ij ρ^i E^(j-1) [Eq. 25] @@ -90,23 +92,165 @@ # Eq. 27 — Fermi energy ε_F(ρ) = ρ·(−510.8 + 3222·ρ − 6250·ρ²) [MeV] # --------------------------------------------------------------------------- EPS_F_coeffs = np.array([-510.8, 3222.0, -6250.0]) # multiplied by ρ¹, ρ², ρ³ +EPS_F_LOW_OFFSET = -22.0 +EPS_F_LOW_coeffs = np.array([-298.52, 3760.23, -12435.82]) +EPS_F_BLEND_ENERGY = 9.0 +EPS_F_BLEND_WIDTH = 2.0 + +# --------------------------------------------------------------------------- +# TALYS revised 1998 imaginary kernels and damping +# --------------------------------------------------------------------------- +TALYS_D_W0 = np.array( + [ + [-659.86, 10.768, -0.078863, 1.8755e-4], + [11437.0, -290.76, 2.4430, -6.2028e-3], + [-74505.0, 2206.8, -19.926, 5.1754e-2], + [176090.0, -5457.9, 51.127, -0.13386], + ] +) +TALYS_D_DAMPING = 126.25 + +TALYS_F_N_IM = np.array( + [ + [459.59, -6.4399, 4.0403e-2, -9.0086e-5], + [-7692.9, 146.39, -1.0244, 2.3367e-3], + [55250.0, -1112.1, 7.9667, -1.8008e-2], + [-143730.0, 3038.2, -22.202, 5.0258e-2], + ] +) + + +@dataclass(frozen=True) +class JLMParameterization: + """Bundled coefficient and low-energy choices for JLM/JLMB helpers. + + Attributes: + name: Human-readable identifier. + coeffs_A: Real isoscalar coefficient table. + coeffs_B: Real isovector coefficient table. + coeffs_C: Momentum-dependent mass coefficient table. + coeffs_D: Imaginary isoscalar coefficient table. + coeffs_F: Imaginary isovector coefficient table. + coeffs_E_F: High-energy Fermi-energy coefficients. + low_energy_E_F_offset: Constant term for the low-energy Fermi branch. + low_energy_E_F_coeffs: Density coefficients for the low-energy branch. + E_F_blend_energy: Logistic blend center in MeV. + E_F_blend_width: Logistic blend width in MeV. + D_damping: Imaginary isoscalar damping parameter in MeV². + F_damping: Imaginary isovector damping parameter in MeV. + local_jlm_real_mode: Real-part Coulomb treatment for + :func:`potential_JLM`. + """ + + name: str + coeffs_A: FloatArray + coeffs_B: FloatArray + coeffs_C: FloatArray + coeffs_D: FloatArray + coeffs_F: FloatArray + coeffs_E_F: FloatArray + low_energy_E_F_offset: float | None = None + low_energy_E_F_coeffs: FloatArray | None = None + E_F_blend_energy: float = EPS_F_BLEND_ENERGY + E_F_blend_width: float = EPS_F_BLEND_WIDTH + D_damping: float = D_DAMPING + F_damping: float = F_DAMPING + local_jlm_real_mode: JLMRealMode = "linearized_delta_c" + + +ORIGINAL_PARAMETERIZATION = JLMParameterization( + name="original", + coeffs_A=A_V0, + coeffs_B=B_N_RE, + coeffs_C=C_KMASS, + coeffs_D=D_W0, + coeffs_F=F_N_IM, + coeffs_E_F=EPS_F_coeffs, + D_damping=D_DAMPING, + F_damping=F_DAMPING, + local_jlm_real_mode="linearized_delta_c", +) + +TALYS_PARAMETERIZATION = JLMParameterization( + name="talys", + coeffs_A=A_V0, + coeffs_B=B_N_RE, + coeffs_C=C_KMASS, + coeffs_D=TALYS_D_W0, + coeffs_F=TALYS_F_N_IM, + coeffs_E_F=EPS_F_coeffs, + low_energy_E_F_offset=EPS_F_LOW_OFFSET, + low_energy_E_F_coeffs=EPS_F_LOW_coeffs, + E_F_blend_energy=EPS_F_BLEND_ENERGY, + E_F_blend_width=EPS_F_BLEND_WIDTH, + D_damping=TALYS_D_DAMPING, + F_damping=F_DAMPING, + local_jlm_real_mode="shifted", +) + + +def resolve_parameterization( + parameterization: str | JLMParameterization | None, +) -> JLMParameterization | None: + """Resolve a named or explicit JLM parameterization bundle.""" + + if parameterization is None: + return None + if isinstance(parameterization, JLMParameterization): + return parameterization + normalized = parameterization.strip().lower() + if normalized in {"original", "jlm", "paper"}: + return ORIGINAL_PARAMETERIZATION + if normalized in {"talys", "revised", "jlmb-talys"}: + return TALYS_PARAMETERIZATION + raise ValueError( + "parameterization must be one of 'original', 'talys', or a " + "JLMParameterization instance." + ) def fermi_energy_MeV( rho_fm3: ScalarOrArray, coeffs: FloatArray = EPS_F_coeffs, + projectile_energy_MeV: ScalarOrArray | None = None, + low_energy_offset: float | None = None, + low_energy_coeffs: FloatArray | None = None, + blend_energy: float = EPS_F_BLEND_ENERGY, + blend_width: float = EPS_F_BLEND_WIDTH, ) -> PolynomialValue: """Return the local Fermi energy in MeV. Args: rho_fm3: Matter density in fm⁻³. - coeffs: Polynomial coefficients for the JLM Fermi-energy fit. + coeffs: Polynomial coefficients for the high-energy JLM Fermi-energy fit. + projectile_energy_MeV: Incident energy used for the low-energy branch + blend. If omitted, only the high-energy branch is evaluated. + low_energy_offset: Constant term for the low-energy branch. + low_energy_coeffs: Density coefficients for the low-energy branch. + blend_energy: Logistic blend center in MeV. + blend_width: Logistic blend width in MeV. Returns: Fermi energy evaluated at ``rho_fm3``. """ - return poly.poly1d(rho_fm3, coeffs, start_i=1) + high_energy_branch = poly.poly1d(rho_fm3, coeffs, start_i=1) + if ( + projectile_energy_MeV is None + or low_energy_offset is None + or low_energy_coeffs is None + ): + return high_energy_branch + + low_energy_branch = low_energy_offset + poly.poly1d( + rho_fm3, low_energy_coeffs, start_i=1 + ) + low_energy_weight = 1.0 / ( + 1.0 + np.exp((np.asarray(projectile_energy_MeV) - blend_energy) / blend_width) + ) + return low_energy_branch * low_energy_weight + high_energy_branch * ( + 1.0 - low_energy_weight + ) def V0( @@ -318,6 +462,8 @@ def potential_JLM( projectile: Projectile, target: Target, E: float, + V_C: FloatArray | None = None, + parameterization: str | JLMParameterization | None = None, coeffs_A: FloatArray = A_V0, coeffs_B: FloatArray = B_N_RE, coeffs_C: FloatArray = C_KMASS, @@ -337,6 +483,11 @@ def potential_JLM( ``(1, 1)`` for protons. target: Target ``(A, Z)`` tuple. E: Projectile energy in MeV. + V_C: Coulomb potential sampled on ``rgrid``. Required for proton + projectiles and ignored for neutrons. + parameterization: Named kernel bundle. ``'original'`` preserves the + existing paper-style implementation, while ``'talys'`` enables the + revised TALYS-compatible low-energy handling. coeffs_A: Real isoscalar coefficient table. coeffs_B: Real isovector coefficient table. coeffs_C: Momentum-dependent mass coefficient table. @@ -351,32 +502,82 @@ def potential_JLM( Tuple of real and imaginary optical-potential arrays in MeV. Raises: - ValueError: If ``projectile`` is not neutron or proton. + ValueError: If ``projectile`` is not neutron or proton, or if ``V_C`` is + missing or malformed for proton calls. """ + r_array = np.asarray(rgrid, dtype=float) rho_array = np.asarray(rho_grid, dtype=float) + if r_array.shape != rho_array.shape: + raise ValueError("rgrid and rho_grid must have the same shape.") A, Z = target N = A - Z alpha = (N - Z) / A - E_F = fermi_energy_MeV(rho_fm3=rho_array, coeffs=coeffs_E_F) - V0_grid = V0(rho_fm3=rho_array, E_MeV=E, coeffs=coeffs_A) + params = resolve_parameterization(parameterization) + if params is not None: + coeffs_A = params.coeffs_A + coeffs_B = params.coeffs_B + coeffs_C = params.coeffs_C + coeffs_D = params.coeffs_D + coeffs_F = params.coeffs_F + coeffs_E_F = params.coeffs_E_F + D_damping = params.D_damping + F_damping = params.F_damping + local_jlm_real_mode = params.local_jlm_real_mode + low_energy_offset = params.low_energy_E_F_offset + low_energy_coeffs = params.low_energy_E_F_coeffs + blend_energy = params.E_F_blend_energy + blend_width = params.E_F_blend_width + else: + local_jlm_real_mode = "linearized_delta_c" + low_energy_offset = None + low_energy_coeffs = None + blend_energy = EPS_F_BLEND_ENERGY + blend_width = EPS_F_BLEND_WIDTH + + E_F = fermi_energy_MeV( + rho_fm3=rho_array, + coeffs=coeffs_E_F, + projectile_energy_MeV=E, + low_energy_offset=low_energy_offset, + low_energy_coeffs=low_energy_coeffs, + blend_energy=blend_energy, + blend_width=blend_width, + ) + if projectile == (1, 1): - RC = 1.2 * A ** (1 / 3) - VC = 6.0 * Z * ALPHA * HBARC / (5 * RC) - DelC = Delta_C( - rho_fm3=rho_array, E_MeV=E, V_C_MeV=VC, coeffs_A=coeffs_A, linear=True - ) - E_eff = E - VC + if V_C is None: + raise ValueError("V_C is required for proton projectiles.") + V_c_grid = np.asarray(V_C, dtype=float) + if V_c_grid.shape != rho_array.shape: + raise ValueError("V_C must have the same shape as rho_grid.") + if local_jlm_real_mode == "linearized_delta_c": + DelC = Delta_C( + rho_fm3=rho_array, + E_MeV=E, + V_C_MeV=V_c_grid, + coeffs_A=coeffs_A, + linear=True, + ) + V0_energy = np.full_like(rho_array, float(E)) + else: + DelC = np.zeros_like(rho_array) + V0_energy = E - V_c_grid + E_eff = E - V_c_grid sign = -1.0 elif projectile == (1, 0): - DelC = 0.0 - E_eff = E + if V_C is not None: + raise ValueError("V_C is only supported for proton projectiles.") + DelC = np.zeros_like(rho_array) + V0_energy = np.full_like(rho_array, float(E)) + E_eff = np.full_like(rho_array, float(E)) sign = +1.0 else: raise ValueError( f"Projectile must be neutron (1,0) or proton (1,1), received {projectile}" ) + V0_grid = V0(rho_fm3=rho_array, E_MeV=V0_energy, coeffs=coeffs_A) W0_grid = W0( rho_fm3=rho_array, E_MeV=E_eff, @@ -422,11 +623,14 @@ def lambda_v0(E_MeV: ScalarOrArray) -> PolynomialValue: return 0.951 + 0.0008 * log_E + 0.00018 * log_E**2 -def lambda_w0(E_MeV: ScalarOrArray) -> PolynomialValue: +def lambda_w0(E_MeV: ScalarOrArray, mode: int = 0) -> PolynomialValue: """Return the JLMB imaginary-isoscalar normalization factor. Args: E_MeV: Projectile energy in MeV. + mode: TALYS ``jlmmode`` selector (0–3). Mode 3 doubles the result + relative to mode 2 to improve low-energy (E < 1 MeV) accuracy. + Modes 0, 1, 2 do not affect λW; see :func:`lambda_w1` for those. Returns: Imaginary isoscalar normalization values. @@ -437,7 +641,10 @@ def lambda_w0(E_MeV: ScalarOrArray) -> PolynomialValue: f2 = 1.0 + 0.06 * np.exp(-(((E - 14.0) / 3.7) ** 2)) f3 = 1.0 - 0.09 * np.exp(-(((E - 80.0) / 78.0) ** 2)) f4 = 1.0 + np.maximum(E - 80.0, 0.0) / 400.0 # Θ(E-80)·(E-80)/400 - return f1 * f2 * f3 * f4 + result = f1 * f2 * f3 * f4 + if mode == 3: + result = result * 2.0 + return result def lambda_v1(E_MeV: ScalarOrArray) -> PolynomialValue: @@ -453,24 +660,134 @@ def lambda_v1(E_MeV: ScalarOrArray) -> PolynomialValue: return 1.5 - 0.65 / (1.0 + np.exp((E_MeV - 1.3) / 3.0)) -def lambda_w1(E_MeV: ScalarOrArray) -> PolynomialValue: +def lambda_w1(E_MeV: ScalarOrArray, mode: int = 0) -> PolynomialValue: """Return the JLMB imaginary-isovector normalization factor. + The ``mode`` parameter selects the TALYS ``jlmmode`` prescription for the + ``alam`` amplitude in the sigmoid correction to the 1.1 base value. + Coefficients taken from ``talys/source/mom.f90`` (authoritative; the TALYS + manual has typographical errors for modes 1 and 2). + Args: E_MeV: Projectile energy in MeV. + mode: TALYS ``jlmmode`` selector: + + - ``0`` (default): ``alam = 0.44`` (Eq. 11.47 standard) + - ``1``: ``alam = 1.10 * exp(-0.4 * E**0.25)`` + - ``2``: ``alam = 1.375 * exp(-0.2 * sqrt(E))`` + - ``3``: same ``alam`` as mode 2 (λW doubled via :func:`lambda_w0`) Returns: Imaginary isovector normalization values. """ - E = E_MeV + E = np.asarray(E_MeV, dtype=float) + alam: PolynomialValue + if mode == 0: + alam = 0.44 + elif mode == 1: + alam = 1.10 * np.exp(-0.4 * E**0.25) + elif mode in (2, 3): + alam = 1.375 * np.exp(-0.2 * np.sqrt(E)) + else: + raise ValueError(f"mode must be 0–3, got {mode}") # paper: [1 + (e^((E-40)/50.9))^4]^-1 → 1 / (1 + e^(4(E-40)/50.9)) - f1 = 1.1 + 0.44 / (1.0 + np.exp(4.0 * (E - 40.0) / 50.9)) + f1 = 1.1 + alam / (1.0 + np.exp(4.0 * (E - 40.0) / 50.9)) f2 = 1.0 - 0.065 * np.exp(-(((E - 40.0) / 13.0) ** 2)) f3 = 1.0 - 0.083 * np.exp(-(((E - 200.0) / 80.0) ** 2)) return f1 * f2 * f3 +def lambda_vso(E_MeV: ScalarOrArray) -> PolynomialValue: + """Return the JLMB real spin-orbit normalization depth. + + From ``talys/source/mom.f90``: ``lvso = 40 + exp(-E*0.013)*130``. + + Args: + E_MeV: Projectile energy in MeV. + + Returns: + Real spin-orbit depth in MeV. + """ + return 40.0 + 130.0 * np.exp(-0.013 * np.asarray(E_MeV, dtype=float)) + + +def lambda_wso(E_MeV: ScalarOrArray) -> PolynomialValue: + """Return the JLMB imaginary spin-orbit normalization depth. + + From ``talys/source/mom.f90``: ``lwso = -0.2*(E - 20)``. Zero at E = 20 MeV. + + Args: + E_MeV: Projectile energy in MeV. + + Returns: + Imaginary spin-orbit depth in MeV. + """ + return -0.2 * (np.asarray(E_MeV, dtype=float) - 20.0) + + +def spin_orbit_jlmb( + r_q: FloatArray, + rho_n_q: FloatArray, + rho_p_q: FloatArray, + projectile: Projectile, + r_out: FloatArray | None = None, +) -> FloatArray: + """Return the JLMB spin-orbit form factor F(r) = -½ (1/r) dρ_SO/dr. + + Uses the Scheerbaum prescription (Nucl. Phys. A257, 77, 1976): the + effective spin-orbit density up-weights the minority species: + + - neutron projectile: ``ρ_SO = (2ρ_p + ρ_n) / 3`` + - proton projectile: ``ρ_SO = (2ρ_n + ρ_p) / 3`` + + The derivative dρ_SO/dr is evaluated via :class:`~scipy.interpolate.CubicSpline` + fitted to the density values at ``r_q``. The leading factor of −½ matches + the TALYS/ECIS type-5 spin-orbit convention (Scheerbaum form stored with + opposite sign and halved, confirmed numerically against ECIS output for + n + ¹²⁰Sn at 10 MeV). + + The full complex spin-orbit potential is assembled by the caller as: + + .. code-block:: python + + V_SO(r) = (lambda_vso(E) + 1j * lambda_wso(E)) * spin_orbit_jlmb(...) + + and passed to ``workspace.xs(spin_orbit_potential=...)``. jitr applies + the L·S eigenvalue (l/2 for j=l+½, −(l+1)/2 for j=l−½) internally. + + Args: + r_q: Radial grid in fm on which ``rho_n_q`` and ``rho_p_q`` are + sampled (e.g. ``ILDAFolder.r_q``). + rho_n_q: Neutron density on ``r_q``, in fm⁻³. + rho_p_q: Proton density on ``r_q``, in fm⁻³. + projectile: ``(1, 0)`` for neutrons, ``(1, 1)`` for protons. + r_out: Output radial grid in fm. Defaults to ``r_q``. + + Returns: + Form factor F(r) sampled on ``r_out``, in fm⁻⁴. + """ + rho_n_arr = np.asarray(rho_n_q, dtype=float) + rho_p_arr = np.asarray(rho_p_q, dtype=float) + r_arr = np.asarray(r_q, dtype=float) + + if projectile == (1, 0): + rho_so = (2.0 * rho_p_arr + rho_n_arr) / 3.0 + elif projectile == (1, 1): + rho_so = (2.0 * rho_n_arr + rho_p_arr) / 3.0 + else: + raise ValueError(f"Projectile must be (1,0) [n] or (1,1) [p], got {projectile}") + + drho_dr = CubicSpline(r_arr, rho_so)(r_arr, 1) + + # Thomas form (1/r) dρ_SO/dr; use the L'Hôpital limit dρ/dr at r→0. + form = np.where(r_arr > 1e-10, drho_dr / r_arr, drho_dr) + + result = -0.5 * form + r_eval = r_arr if r_out is None else np.asarray(r_out, dtype=float) + return np.interp(r_eval, r_arr, result) + + def potential_JLMB( folder, rho_n_q: FloatArray, @@ -478,9 +795,8 @@ def potential_JLMB( projectile: Projectile, target: Target, E: float, - coulomb_mode: str = "density", - coulomb_R_C: str | float | None = None, - include_exchange: bool = False, + V_C: FloatArray | None = None, + parameterization: str | JLMParameterization | None = None, coeffs_A: FloatArray = A_V0, coeffs_B: FloatArray = B_N_RE, coeffs_C: FloatArray = C_KMASS, @@ -507,9 +823,11 @@ def potential_JLMB( ``(1, 1)`` for protons. target: Target ``(A, Z)`` tuple. E: Projectile energy in MeV. - coulomb_mode: Coulomb model passed to :meth:`ILDAFolder.V_coulomb`. - coulomb_R_C: Coulomb radius override for the uniform-sphere mode. - include_exchange: Whether to include the Coulomb exchange correction. + V_C: Coulomb potential sampled on ``folder.r_q``. Required for proton + projectiles and ignored for neutrons. + parameterization: Named kernel bundle. ``'original'`` preserves the + existing behavior, while ``'talys'`` enables the revised + TALYS-compatible coefficients and low-energy Fermi-energy blend. coeffs_A: Real isoscalar coefficient table. coeffs_B: Real isovector coefficient table. coeffs_C: Momentum-dependent mass coefficient table. @@ -530,31 +848,60 @@ def potential_JLMB( Tuple of folded real and imaginary optical-potential arrays in MeV. Raises: - ValueError: If ``projectile`` is not neutron or proton. + ValueError: If ``projectile`` is not neutron or proton, or if ``V_C`` is + missing or malformed for proton calls. """ - A, Z = target + params = resolve_parameterization(parameterization) + if params is not None: + coeffs_A = params.coeffs_A + coeffs_B = params.coeffs_B + coeffs_C = params.coeffs_C + coeffs_D = params.coeffs_D + coeffs_F = params.coeffs_F + coeffs_E_F = params.coeffs_E_F + D_damping = params.D_damping + F_damping = params.F_damping + low_energy_offset = params.low_energy_E_F_offset + low_energy_coeffs = params.low_energy_E_F_coeffs + blend_energy = params.E_F_blend_energy + blend_width = params.E_F_blend_width + else: + low_energy_offset = None + low_energy_coeffs = None + blend_energy = EPS_F_BLEND_ENERGY + blend_width = EPS_F_BLEND_WIDTH + rho_n_array = np.asarray(rho_n_q, dtype=float) rho_p_array = np.asarray(rho_p_q, dtype=float) rho_q = rho_n_array + rho_p_array alpha_q = np.where(rho_q > 1e-12, (rho_n_q - rho_p_q) / rho_q, 0.0) if projectile == (1, 1): - V_C_q = folder.V_coulomb( - rho_p_array, - mode=coulomb_mode, - R_C=coulomb_R_C, - include_exchange=include_exchange, - ) + if V_C is None: + raise ValueError("V_C is required for proton projectiles.") + V_C_q = np.asarray(V_C, dtype=float) + if V_C_q.shape != rho_q.shape: + raise ValueError("V_C must have the same shape as rho_n_q and rho_p_q.") E_eff_q = E - V_C_q sign = -1.0 elif projectile == (1, 0): + if V_C is not None: + raise ValueError("V_C is only supported for proton projectiles.") E_eff_q = np.full_like(folder.r_q, float(E)) sign = +1.0 else: raise ValueError(f"Projectile must be (1,0) [n] or (1,1) [p], got {projectile}") - E_F_q = fermi_energy_MeV(rho_q, coeffs=coeffs_E_F) + E_F_q = fermi_energy_MeV( + rho_q, + coeffs=coeffs_E_F, + projectile_energy_MeV=E, + low_energy_offset=low_energy_offset, + low_energy_coeffs=low_energy_coeffs, + blend_energy=blend_energy, + blend_width=blend_width, + ) V0_q = V0(rho_q, E_eff_q, coeffs=coeffs_A) W0_q = W0(rho_q, E_eff_q, E_F=E_F_q, coeffs=coeffs_D, damping=D_damping) V1_q = V1(rho_q, E_eff_q, E_F=E_F_q, coeffs_B=coeffs_B, coeffs_C=coeffs_C) @@ -567,8 +914,12 @@ def potential_JLMB( coeffs_C=coeffs_C, damping=F_damping, ) + # k-mass correction to the imaginary potential per Bauge et al. PRC 58, 1118 (1998). + # The imaginary NM terms are scaled by m̃/m before folding, which produces + # the surface-peaked imaginary potential characteristic of the JLMB prescription. + m_tilde_q = m_tilde_over_m(rho_q, E_eff_q, coeffs=coeffs_C) V_NM_q = lambda_V * (V0_q + sign * lambda_V1 * alpha_q * V1_q) - W_NM_q = lambda_W * (W0_q + sign * lambda_W1 * alpha_q * W1_q) + W_NM_q = lambda_W * m_tilde_q * (W0_q + sign * lambda_W1 * alpha_q * W1_q) V_r = folder.gaussian_fold(V_NM_q, t=t_r, r_out=r_out) W_r = folder.gaussian_fold(W_NM_q, t=t_i, r_out=r_out) diff --git a/src/jitr/optical_potentials/potential_forms.py b/src/jitr/optical_potentials/potential_forms.py index b494be90..b1cc511b 100644 --- a/src/jitr/optical_potentials/potential_forms.py +++ b/src/jitr/optical_potentials/potential_forms.py @@ -133,6 +133,10 @@ def thomas_mean_square_radius(R: float, a: float) -> float: def coulomb_charged_sphere(r: ArrayOrScalar, zz: float, r_c: float) -> ArrayOrScalar: """Return the Coulomb potential of a uniformly charged sphere.""" + if zz == 0: + if isinstance(r, np.ndarray): + return np.zeros_like(r, dtype=np.float64) + return 0.0 return zz * ALPHA * HBARC * regular_inverse_r(r, r_c) diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 00000000..1a444862 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +"""Test package for repository and regression fixtures.""" diff --git a/tests/regression/README.md b/tests/regression/README.md new file mode 100644 index 00000000..b26e3f72 --- /dev/null +++ b/tests/regression/README.md @@ -0,0 +1,26 @@ +# Regression harness + +End-to-end tests comparing `jitr` against committed reference outputs from +Frescox (F1–F8) and TALYS (T1–T4). See the +[regression-tests documentation](../../docs/regression-tests.md) for a case +overview. + +## Layout + +- `manifest.json` — committed case inventory (all active cases) +- `_readers.py` — manifest and reference-data loader +- `_builders.py` — API-specific workspace/input assembly +- `conftest.py` — parametrizes pytest over `manifest.json` +- `test_regression.py` — Frescox case assertions +- `test_talys_reference.py` — TALYS parser smoke tests +- `frescox/` — Frescox inputs, reference CSVs/JSON, and parser +- `talys/` — TALYS inputs, reference CSVs/JSON, and parser + +## Design notes + +- Only committed CSV/JSON references are read in pytest; neither Frescox nor + TALYS is required in CI. +- Frescox cases use integer-AMU masses (`m = A × AMU`) and classical + kinematics, matching the upstream deck convention exactly. +- Neutral elastic cases omit the Coulomb matrix in the builder; neutron + metadata stays physically literal. diff --git a/tests/regression/__init__.py b/tests/regression/__init__.py new file mode 100644 index 00000000..c69d0ceb --- /dev/null +++ b/tests/regression/__init__.py @@ -0,0 +1 @@ +"""External-reference regression test package.""" diff --git a/tests/regression/_builders.py b/tests/regression/_builders.py new file mode 100644 index 00000000..efe816af --- /dev/null +++ b/tests/regression/_builders.py @@ -0,0 +1,259 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any + +import numpy as np + +from jitr.folding.folding import ILDAFolder +from jitr.folding.jlm import ( + lambda_v0, + lambda_v1, + lambda_vso, + lambda_w0, + lambda_w1, + lambda_wso, + potential_JLMB, + spin_orbit_jlmb, +) +from jitr.optical_potentials.omp import LocalOpticalPotential +from jitr.reactions import ElasticReaction, Nucleus, Particle +from jitr.rmatrix import Solver +from jitr.utils.constants import AMU +from jitr.utils.density import density_table +from jitr.utils.kinematics import classical_kinematics, classical_kinematics_cm +from jitr.xs.elastic import DifferentialWorkspace + +from ._readers import ReferenceCase + + +@dataclass(frozen=True) +class BuiltCase: + """Concrete workspace and inputs for one regression case.""" + + workspace: Any + xs_kwargs: dict[str, np.ndarray | None] + + +def build_case(ref: ReferenceCase) -> BuiltCase: + """Build the workspace and input arrays for a committed reference case.""" + if ref.observable_type != "elastic": + raise NotImplementedError( + f"{ref.case_id} uses unsupported observable_type {ref.observable_type!r}" + ) + return _build_elastic_case(ref) + + +def _build_jlm_elastic_case( + ref: ReferenceCase, + reaction: ElasticReaction, + channel_kinematics, + workspace, + potential: dict, +) -> BuiltCase: + radial_grid = workspace.radial_grid() + variant = potential["variant"] + if variant != "jlmb": + raise ValueError(f"{ref.case_id}: unknown JLM variant {variant!r}") + + param = potential.get("parameterization", "talys") + density_model = potential.get("density_model", "d1m") + jlmmode = int(potential.get("jlmmode", 0)) + fw = potential["folding_widths_fm"] + t_r = float(fw["real"]) + t_i = float(fw["imag"]) + + energy = float(ref.metadata["kinematics"]["energy_MeV"]) + lv = float(lambda_v0(energy)) + lw = float(lambda_w0(energy, mode=jlmmode)) + lv1 = float(lambda_v1(energy)) + lw1 = float(lambda_w1(energy, mode=jlmmode)) + + folder = ILDAFolder(r_max=15.0, n_quad=200) + dt = density_table(reaction.target.A, reaction.target.Z, model=density_model) + rho_n_q = folder.interp_to_quad(dt.radial_grid, dt.neutron_density_grid) + rho_p_q = folder.interp_to_quad(dt.radial_grid, dt.proton_density_grid) + + charge_product = reaction.target.Z * reaction.projectile.Z + if charge_product != 0: + V_C_q = folder.V_coulomb(rho_p_q) + V_C_out = folder.V_coulomb(rho_p_q, r_out=radial_grid) + else: + V_C_q = V_C_out = None + + central_re, central_im = potential_JLMB( + folder, + rho_n_q, + rho_p_q, + (reaction.projectile.A, reaction.projectile.Z), + (reaction.target.A, reaction.target.Z), + energy, + V_C=V_C_q, + parameterization=param, + lambda_V=lv, + lambda_W=lw, + lambda_V1=lv1, + lambda_W1=lw1, + t_r=t_r, + t_i=t_i, + r_out=radial_grid, + ) + + central = np.asarray(central_re + 1j * central_im, dtype=np.complex128) + coulomb = np.asarray(V_C_out, dtype=np.complex128) if charge_product != 0 else None + + # Spin-orbit: Scheerbaum Thomas form of the density (no Gaussian folding). + vso = float(lambda_vso(energy)) + wso = float(lambda_wso(energy)) + SO_form = spin_orbit_jlmb( + folder.r_q, + rho_n_q, + rho_p_q, + (reaction.projectile.A, reaction.projectile.Z), + r_out=radial_grid, + ) + spin_orbit = np.asarray((vso + 1j * wso) * SO_form, dtype=np.complex128) + + return BuiltCase( + workspace=workspace, + xs_kwargs={ + "central_potential": central, + "spin_orbit_potential": spin_orbit, + "coulomb_potential": coulomb, + }, + ) + + +def _build_elastic_case(ref: ReferenceCase) -> BuiltCase: + metadata = ref.metadata + reaction_data = metadata["reaction"] + mass_kwargs = metadata.get("mass_kwargs", {}) + mass_model = metadata.get("mass_model", "tabulated") + reaction = ElasticReaction( + _build_reaction_particle(reaction_data["target"], mass_model, mass_kwargs), + _build_reaction_particle(reaction_data["projectile"], mass_model, mass_kwargs), + mass_kwargs=mass_kwargs, + ) + + kinematics = metadata["kinematics"] + energy = float(kinematics["energy_MeV"]) + frame = kinematics["frame"] + relativistic = bool(kinematics.get("relativistic", True)) + if frame == "lab": + if relativistic: + channel_kinematics = reaction.kinematics(energy) + else: + channel_kinematics = classical_kinematics( + reaction.target.m0, + reaction.projectile.m0, + energy, + reaction.target.Z * reaction.projectile.Z, + ) + elif frame == "cm": + if relativistic: + channel_kinematics = reaction.kinematics_cm(energy) + else: + channel_kinematics = classical_kinematics_cm( + reaction.target.m0, + reaction.projectile.m0, + energy, + reaction.target.Z * reaction.projectile.Z, + ) + else: + raise ValueError(f"{ref.case_id} uses unsupported frame {frame!r}") + + matching = metadata["matching"] + solver = Solver(int(matching["nbasis"])) + workspace = DifferentialWorkspace.build_from_system( + reaction=reaction, + kinematics=channel_kinematics, + channel_radius_fm=float(matching["channel_radius_fm"]), + solver=solver, + lmax=int(matching["lmax"]), + angles=ref.theta_cm_rad, + ) + + potential = metadata["optical_potential"] + kind = potential["kind"] + if kind == "woods_saxon_local": + return _build_ws_elastic_case( + ref, reaction, channel_kinematics, workspace, potential + ) + elif kind == "jlm": + return _build_jlm_elastic_case( + ref, reaction, channel_kinematics, workspace, potential + ) + else: + raise NotImplementedError( + f"{ref.case_id} uses unsupported optical_potential.kind {kind!r}" + ) + + +def _build_ws_elastic_case( + ref: ReferenceCase, + reaction: ElasticReaction, + channel_kinematics, + workspace, + potential: dict, +) -> BuiltCase: + model = LocalOpticalPotential( + scale_radii_by_At_and_Ap=bool(potential["scale_radii_by_At_and_Ap"]) + ) + radial_grid = workspace.radial_grid() + central_data = potential["central"] + spin_orbit_data = potential["spin_orbit"] + charge_product = reaction.target.Z * reaction.projectile.Z + coulomb_data = potential.get("coulomb") + if charge_product != 0 and coulomb_data is None: + raise ValueError(f"{ref.case_id} is missing optical_potential.coulomb metadata") + coulomb_radius = float(coulomb_data["rC"]) if coulomb_data is not None else 1.0 + central, spin_orbit, coulomb = model.evaluate( + radial_grid, + reaction, + channel_kinematics, + float(central_data["Vv"]), + float(central_data["rv"]), + float(central_data["av"]), + float(central_data["Wv"]), + float(central_data["rw"]), + float(central_data["aw"]), + float(central_data["Wd"]), + float(central_data["Vd"]), + float(central_data["rd"]), + float(central_data["ad"]), + float(spin_orbit_data["Vso"]), + float(spin_orbit_data["Wso"]), + float(spin_orbit_data["rso"]), + float(spin_orbit_data["aso"]), + coulomb_radius, + ) + return BuiltCase( + workspace=workspace, + xs_kwargs={ + "central_potential": central, + "spin_orbit_potential": spin_orbit, + "coulomb_potential": ( + np.asarray(coulomb, dtype=np.complex128) + if charge_product != 0 + else None + ), + }, + ) + + +def _build_reaction_particle( + particle_data: dict[str, Any], + mass_model: str, + mass_kwargs: dict[str, str], +) -> Particle | tuple[int, int]: + if mass_model == "tabulated": + return (particle_data["A"], particle_data["Z"]) + if mass_model == "integer_amu": + particle = Nucleus( + int(particle_data["A"]), + int(particle_data["Z"]), + mass_kwargs=mass_kwargs, + ) + particle.m0 = float(particle_data["A"]) * AMU + return particle + raise ValueError(f"Unsupported regression mass_model {mass_model!r}") diff --git a/tests/regression/_readers.py b/tests/regression/_readers.py new file mode 100644 index 00000000..2ad2e0af --- /dev/null +++ b/tests/regression/_readers.py @@ -0,0 +1,106 @@ +from __future__ import annotations + +import csv +import json +from dataclasses import dataclass +from pathlib import Path +from typing import Any, TypedDict + +import numpy as np + +ROOT = Path(__file__).parent + + +class ManifestEntry(TypedDict): + """Committed manifest entry for one regression case.""" + + case_id: str + reference_code: str + csv: str + json: str + + +@dataclass(frozen=True) +class ReferenceCase: + """Loaded external-reference case data.""" + + case_id: str + reference_code: str + observable_type: str + theta_cm_rad: np.ndarray + dsdo: np.ndarray + tolerance: dict[str, float] + metadata: dict[str, Any] + + +def _read_csv_header(path: Path) -> tuple[dict[str, str], list[list[str]]]: + header: dict[str, str] = {} + rows: list[list[str]] = [] + + with path.open(newline="") as handle: + reader = csv.reader(handle) + for row in reader: + if not row: + continue + first = row[0].strip() + if first.startswith("#"): + payload = first.removeprefix("#").strip() + if ":" in payload: + key, value = payload.split(":", 1) + header[key.strip()] = value.strip() + continue + rows.append([cell.strip() for cell in row]) + + return header, rows + + +def _validate_case( + case: ManifestEntry, metadata: dict[str, Any], header: dict[str, str] +) -> None: + checks = { + "case_id": case["case_id"], + "reference_code": case["reference_code"], + "source_example": metadata["source_example"], + "observable": metadata["observable_type"], + } + for key, expected in checks.items(): + actual = header.get(key) + if actual != str(expected): + raise ValueError( + f"{case['case_id']} CSV header mismatch for {key}: " + f"expected {expected!r}, found {actual!r}" + ) + + +def load_case(case: ManifestEntry) -> ReferenceCase: + """Load one committed regression case from the manifest.""" + metadata_path = ROOT / case["json"] + csv_path = ROOT / case["csv"] + metadata = json.loads(metadata_path.read_text()) + header, rows = _read_csv_header(csv_path) + _validate_case(case, metadata, header) + + if not rows or rows[0] != ["theta_cm_deg", "dsdo_mb_per_sr"]: + raise ValueError( + f"{case['case_id']} CSV must start with " "theta_cm_deg,dsdo_mb_per_sr" + ) + + data = np.asarray(rows[1:], dtype=np.float64) + if data.ndim != 2 or data.shape[1] != 2: + raise ValueError(f"{case['case_id']} CSV must have exactly two data columns") + if np.any(np.diff(data[:, 0]) <= 0): + raise ValueError(f"{case['case_id']} angle grid must be strictly increasing") + + tolerance = metadata["tolerances"]["dsdo_mb_per_sr"] + return ReferenceCase( + case_id=metadata["case_id"], + reference_code=metadata["reference_code"], + observable_type=metadata["observable_type"], + theta_cm_rad=np.deg2rad(data[:, 0]), + dsdo=data[:, 1], + tolerance={ + "rtol": float(tolerance["rtol"]), + "atol": float(tolerance["atol"]), + }, + metadata=metadata, + ) diff --git a/tests/regression/conftest.py b/tests/regression/conftest.py new file mode 100644 index 00000000..0e8f0efc --- /dev/null +++ b/tests/regression/conftest.py @@ -0,0 +1,20 @@ +from __future__ import annotations + +import json +from collections.abc import Iterator +from pathlib import Path + +import pytest + +ROOT = Path(__file__).parent + + +def iter_manifest() -> list[dict[str, str]]: + """Return the committed regression manifest entries.""" + return json.loads((ROOT / "manifest.json").read_text()) + + +@pytest.fixture(params=iter_manifest(), ids=lambda case: case["case_id"]) +def case(request: pytest.FixtureRequest) -> Iterator[dict[str, str]]: + """Parametrize the regression suite over the committed manifest.""" + yield request.param diff --git a/tests/regression/frescox/README.md b/tests/regression/frescox/README.md new file mode 100644 index 00000000..c200e074 --- /dev/null +++ b/tests/regression/frescox/README.md @@ -0,0 +1,63 @@ +# Frescox regression references + +Cases F1–F8 are adapted from the upstream `B1-example-el` example published at + (F1–F3) and repo-local high-energy decks +(F4–F8). + +## Building Frescox locally + +```bash +mkdir -p /tmp/jitr-frescox +cd /tmp/jitr-frescox +git clone --depth=1 https://github.com/LLNL/Frescox.git +cd Frescox/source +make MACH=gfortran -j2 +``` + +The resulting executable is `./frescox`. + +## Regenerating the CSV references + +**Upstream cases (F1–F3):** download the output and parse: + +```bash +mkdir -p /tmp/jitr-frescox/runs +curl -fsSL http://www.fresco.org.uk/examples/B1-example-el.out \ + -o /tmp/jitr-frescox/runs/B1-example-el.out + +uv run python tests/regression/frescox/tools/parse_frescox.py \ + --output /tmp/jitr-frescox/runs/B1-example-el.out \ + --metadata tests/regression/frescox/reference/F1_p_ni78_elastic.json \ + --csv-out tests/regression/frescox/reference/F1_p_ni78_elastic.csv \ + --case-index 0 --min-angle-deg 1.0 +``` + +Repeat with `--case-index 1` / `F2_p_ni78_elastic_11MeV` and +`--case-index 2` / `F3_p_ni78_elastic_49p35MeV`. + +**High-energy cases (F4–F8):** run Frescox first, then parse: + +```bash +FRESCOX=/tmp/jitr-frescox/Frescox/source/frescox + +$FRESCOX < tests/regression/frescox/inputs/B1-high-el.in \ + > tests/regression/frescox/outputs/B1-high-el.out + +$FRESCOX < tests/regression/frescox/inputs/B1_n-high-el.in \ + > tests/regression/frescox/outputs/B1_n-high-el.out + +uv run python tests/regression/frescox/tools/parse_frescox.py \ + --output tests/regression/frescox/outputs/B1-high-el.out \ + --metadata tests/regression/frescox/reference/F4_p_ni78_elastic_100MeV.json \ + --csv-out tests/regression/frescox/reference/F4_p_ni78_elastic_100MeV.csv \ + --case-index 0 --min-angle-deg 1.0 + +# repeat for F5 (--case-index 1), F6/F7/F8 from B1_n-high-el.out +``` + +## Notes + +- Frescox's `elab`/`nlab` NAMELIST supports at most four energies per deck, so + the high-energy proton and neutron ladders are split into separate + `B1-high-el` and `B1_n-high-el` input decks. +- B2 and B5 are not landed yet (requires a public `jitr.xs.dwba` workspace). diff --git a/tests/regression/frescox/inputs/B1-example-el.in b/tests/regression/frescox/inputs/B1-example-el.in new file mode 100644 index 00000000..f3f29d6f --- /dev/null +++ b/tests/regression/frescox/inputs/B1-example-el.in @@ -0,0 +1,18 @@ +p+Ni78 Coulomb and Nuclear; +NAMELIST + &FRESCO hcm=0.1 rmatch=60 + jtmin=0.0 jtmax=50 absend= 0.0010 + thmin=0.00 thmax=180.00 thinc=1.00 + chans=1 smats=2 xstabl=1 + elab(1:3)=6.9 11.00 49.350 nlab(1:3)=1 1 / + + &PARTITION namep='p' massp=1.00 zp=1 + namet='Ni78' masst=78.0000 zt=28 qval=-0.000 nex=1 / + &STATES jp=0.5 bandp=1 ep=0.0000 cpot=1 jt=0.0 bandt=1 et=0.0000 / + &partition / + + &POT kp=1 ap=1.000 at=78.000 rc=1.2 / + &POT kp=1 type=1 p1=40.00 p2=1.2 p3=0.65 p4=10.0 p5=1.2 p6=0.500 / + &pot / + &overlap / + &coupling / diff --git a/tests/regression/frescox/inputs/B1-high-el.in b/tests/regression/frescox/inputs/B1-high-el.in new file mode 100644 index 00000000..06d5eca1 --- /dev/null +++ b/tests/regression/frescox/inputs/B1-high-el.in @@ -0,0 +1,18 @@ +p+Ni78 Coulomb and Nuclear; high-energy extension +NAMELIST + &FRESCO hcm=0.05 rmatch=60 + jtmin=0.0 jtmax=160 absend=0.0010 + thmin=0.00 thmax=180.00 thinc=1.00 + chans=1 smats=2 xstabl=1 + elab(1:3)=49.350 100.0 200.0 nlab(1:2)=1 1 / + + &PARTITION namep='p' massp=1.00 zp=1 + namet='Ni78' masst=78.0000 zt=28 qval=-0.000 nex=1 / + &STATES jp=0.5 bandp=1 ep=0.0000 cpot=1 jt=0.0 bandt=1 et=0.0000 / + &partition / + + &POT kp=1 ap=1.000 at=78.000 rc=1.2 / + &POT kp=1 type=1 p1=40.00 p2=1.2 p3=0.65 p4=10.0 p5=1.2 p6=0.500 / + &pot / + &overlap / + &coupling / diff --git a/tests/regression/frescox/inputs/B1_n-high-el.in b/tests/regression/frescox/inputs/B1_n-high-el.in new file mode 100644 index 00000000..e2414cf2 --- /dev/null +++ b/tests/regression/frescox/inputs/B1_n-high-el.in @@ -0,0 +1,18 @@ +n+Ni78 Nuclear; high-energy extension +NAMELIST + &FRESCO hcm=0.05 rmatch=60 + jtmin=0.0 jtmax=160 absend=0.0010 + thmin=0.00 thmax=180.00 thinc=1.00 + chans=1 smats=2 xstabl=1 + elab(1:3)=49.350 100.0 200.0 nlab(1:2)=1 1 / + + &PARTITION namep='n' massp=1.00 zp=0 + namet='Ni78' masst=78.0000 zt=28 qval=-0.000 nex=1 / + &STATES jp=0.5 bandp=1 ep=0.0000 cpot=1 jt=0.0 bandt=1 et=0.0000 / + &partition / + + &POT kp=1 ap=1.000 at=78.000 rc=1.2 / + &POT kp=1 type=1 p1=40.00 p2=1.2 p3=0.65 p4=10.0 p5=1.2 p6=0.500 / + &pot / + &overlap / + &coupling / diff --git a/tests/regression/frescox/outputs/B1-high-el.out b/tests/regression/frescox/outputs/B1-high-el.out new file mode 100644 index 00000000..3183bd70 --- /dev/null +++ b/tests/regression/frescox/outputs/B1-high-el.out @@ -0,0 +1,3709 @@ +Running on kyle-ThinkPad-X390 + FRESCOX - version 7.2-20-ga7f491: Coupled Reaction Channels on gfortran + + Using NAMELIST input + + p+Ni78 Coulomb and Nuclear; high-energy extension + + 0.050 60.000 0.500 0.000 0.000 0.000 0.000 0.000 0.000 0.000 + + Centre-of-mass Range is 1202 * 0.0500 fm., Maximum at 60.00 fm., Interpolating NL forms every 0.50 fm. + Non - locality width is 4 * 0.0500 fm., Maximum of 0.15 fm., Centred at 0.00 fm. + 2-Nucleon Separation of 0 * 0.5000 fm., Maximum of 0.00 fm., Minimum at 0.00 fm. + Maximum single particle bins of 60.0000 fm. + M,Mint = 1201 1201 + + + Range of total J is 0.0 <= J <= 160.0 (at least 0.0) and Absorbtion => 0.0010 mb. + Dry Run = F, CC set limits = 0 0, Relativistic kinematics = , Both/Far/Near Analyses = 1 + + Cross Sections (and up to T0 for 0=projectile) for Theta from 0.0 to 180.0 in steps of 1.0 degrees, DGAM=0, grace=T, Coordinates = 0 (Mads) + + Lower Radial Cutoff = maximum of -1.60*L*h & 0.0 fm., Lower Cutoff for Couplings = 0.0 fm. + + + Iterate Couplings between 0 and 0 times, to 0.000 % if sooner. + Block solved exactly = 0 chs., with Pade = 0 & Isocen = =0, NOSOL = F, CCREAL = F, initwf = 0 + Small channels are 0.00E+00 and small couplings are 1.00E-12 of unitarity + + NL quadrature with 18 Gaussian points, Calculate multipoles up to 170 from 0 + M-transfers for lp+lt greater than or equal to 6, Angular Integration Cutoff below 2.7778 % + + + Trace switches are : CHANS = 1, LISTCC = 0, TRENEG = 0, CDETR = 0, SMATS = 2, XSTABL = 1, NLPL = 0 + + WAVES = 0, LAMPL = 0, VEFF = 0, KFUS = 0, WDISK = 0, BPM = 0, MELFIL = 0 + + CDCC = 0, NFUS = 0, TCFILE = 0 + + Using unit mass = 1.000000 amu and 1/fine-structure constant = 137.03599 ( 1.000000 * true ) with hc = 197.32705 MeV.fm, + thus 2*amu/hbar^2 = 0.0478450 = 1/20.9008 and Coulomb constant = 0.1574855 so e^2 = 1.43996515, and nuclear magneton= 0.1261183 + + Now pre-scan input and save to file 3 + + + + *********** PARTITION NUMBER 1 ****************************************************************************************** + + PROJ=p MASS= 1.0000 Z= 1.0, # STATES= 1T, TARG=Ni78 MASS= 78.0000 Z= 28.0, Q-VALUE = -0.0000 MeV + + MIXPOT = 0: no couplings (default) + + 1: J= 0.5+ (B# 1), E= 0.0000, K= 0.5 Potl# 1 J= 0.0+ (B# 1), E= 0.0000, K= 0.0 + + + ************************************************************************************************************************************ + + The following POTENTIALS are defined : + + KP# TYPE IT SHAPE at V1 r1 a1 V2 r2 a2 A-in A-used + + + A#1 A#2 r0c ac h @ 1 + 1 0=Coulomb 0=CHARGE (WS) 1 78.000 1.000 1.2000 0.0000 0.0000 0.0000 0.000 146.585 0.05000 + + 1 1=Volume 0=Woods-Saxon 2 40.0000 1.2000 0.6500 10.0000 1.2000 0.5000 0.000 146.585 + + Incoming partition 1 in excitation state # 1, Laboratory Energy given for partition 1 Nucleus 1 in Excitation pair 1 + +0Lab. ENERGY ranges : + + from 49.3500 to 100.000 in 1 intervals + from 100.000 to 200.000 in 1 intervals + from 200.000 to 0.00000 in 0 intervals + + Largest real,imaginary parts of any form factor at R= 59.50 are 2.42E-02 2.68E-32 MeV + Finished all Couplings @ 6.34000171E-04 + + Symmetric Hamiltonian +1*********************************************************************************************************************************** +************************************************************************************************************************************ + + INCOMING p ; LABORATORY p ENERGY = 49.350 MeV. + + *********************************************************************************************************************************** + *********************************************************************************************************************************** + + + NOTE: Coulomb excitation cut off below 0.448 deg by JTMAX, and below 0.790 deg by Rmax + + Allocate arrays for 1 channels, of which 1 need wfs. + + ######################################################################################################################### + # # + # Total SPIN and PARITY = 0.5 +, 1 channels, 0 in 1st block. Rmin & Coul turning = 0.0 8.275E-01 fm. # + # # + ######################################################################################################################### + + + + C Projectl Target # EX. (L Proj) J + Targ = Jtotal E-cm Re K Re Eta RM*K CH G-REL + 1 p Ni78 # 1: I 0 0.5 0.5 0.0 0.5 48.72532 1.51715 0.62770 91.0292 0.23133 0.44523 1 1 1 1 1.00000 + S-matrix 1 = -0.19447 -0.08089 for L= 0, J= 0.5 channel on core I = 0.0 from L= 0, Acc. loss = 0.0 D. + Elastic phase shift 1 = -78.707 44.624 deg. for the L = 0, J = 0.5 channel. + 0.5 -0.19447350 -0.08089450i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5+/ 0 @ 1 = 13.043 , Out: 0.000# + + + Total SPIN, PARITY = 0.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.0 0.8 + S-matrix 1 = -0.14763 0.14475 for L= 1, J= 0.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = 67.783 45.155 deg. for the L = 1, J = 0.5 channel. + 0.5 -0.14763437 0.14475079i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5-/ 1 @ 1 = 13.065 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.1 1.4 + S-matrix 1 = -0.01688 0.21686 for L= 2, J= 1.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = 47.225 43.701 deg. for the L = 2, J = 1.5 channel. + 1.5 -0.01687953 0.21686354i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5+/ 2 @ 1 = 26.006 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.1 1.4 + S-matrix 1 = -0.14763 0.14475 for L= 1, J= 1.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = 67.783 45.155 deg. for the L = 1, J = 1.5 channel. + 1.5 -0.14763437 0.14475079i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5-/ 1 @ 1 = 26.130 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 2.1 + S-matrix 1 = -0.01688 0.21686 for L= 2, J= 2.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = 47.225 43.701 deg. for the L = 2, J = 2.5 channel. + 2.5 -0.01687953 0.21686354i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5+/ 2 @ 1 = 39.009 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 2.1 + S-matrix 1 = 0.09810 0.19425 for L= 3, J= 2.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = 31.603 43.689 deg. for the L = 3, J = 2.5 channel. + 2.5 0.09810087 0.19425057i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5-/ 3 @ 1 = 39.007 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 2.7 + S-matrix 1 = 0.19929 0.11694 for L= 4, J= 3.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = 15.202 41.971 deg. for the L = 4, J = 3.5 channel. + 3.5 0.19928913 0.11694019i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5+/ 4 @ 1 = 51.680 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 2.7 + S-matrix 1 = 0.09810 0.19425 for L= 3, J= 3.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = 31.603 43.689 deg. for the L = 3, J = 3.5 channel. + 3.5 0.09810087 0.19425057i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5-/ 3 @ 1 = 52.009 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.3 3.4 + S-matrix 1 = 0.19929 0.11694 for L= 4, J= 4.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = 15.202 41.971 deg. for the L = 4, J = 4.5 channel. + 4.5 0.19928913 0.11694019i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5+/ 4 @ 1 = 64.600 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.3 3.4 + S-matrix 1 = 0.24603 0.01199 for L= 5, J= 4.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.395 40.139 deg. for the L = 5, J = 4.5 channel. + 4.5 0.24603329 0.01199201i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5-/ 5 @ 1 = 64.103 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.4 4.0 + S-matrix 1 = 0.20482 -0.13173 for L= 6, J= 5.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -16.373 40.466 deg. for the L = 6, J = 5.5 channel. + 5.5 0.20482479 -0.13172833i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5+/ 6 @ 1 = 77.035 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.4 4.0 + S-matrix 1 = 0.24603 0.01199 for L= 5, J= 5.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.395 40.139 deg. for the L = 5, J = 5.5 channel. + 5.5 0.24603329 0.01199201i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5-/ 5 @ 1 = 76.923 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.5 4.7 + S-matrix 1 = 0.20482 -0.13173 for L= 6, J= 6.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -16.373 40.466 deg. for the L = 6, J = 6.5 channel. + 6.5 0.20482479 -0.13172833i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5+/ 6 @ 1 = 89.875 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.5 4.7 + S-matrix 1 = 0.07562 -0.28168 for L= 7, J= 6.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -37.486 35.299 deg. for the L = 7, J = 6.5 channel. + 6.5 0.07562441 -0.28168036i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5-/ 7 @ 1 = 87.414 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 5.4 + S-matrix 1 = -0.10008 -0.30183 for L= 8, J= 7.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -54.172 32.823 deg. for the L = 8, J = 7.5 channel. + 7.5 -0.10008267 -0.30182971i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5+/ 8 @ 1 = 98.148 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 5.4 + S-matrix 1 = 0.07562 -0.28168 for L= 7, J= 7.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -37.486 35.299 deg. for the L = 7, J = 7.5 channel. + 7.5 0.07562441 -0.28168036i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5-/ 7 @ 1 = 99.901 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 6.0 + S-matrix 1 = -0.10008 -0.30183 for L= 8, J= 8.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -54.172 32.823 deg. for the L = 8, J = 8.5 channel. + 8.5 -0.10008267 -0.30182971i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5+/ 8 @ 1 = 110.417 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 6.0 + S-matrix 1 = -0.21381 -0.01757 for L= 9, J= 8.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -87.651 44.098 deg. for the L = 9, J = 8.5 channel. + 8.5 -0.21380587 -0.01757322i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5-/ 9 @ 1 = 117.185 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.7 6.7 + S-matrix 1 = 0.19379 0.49699 for L= 10, J= 9.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = 34.349 18.003 deg. for the L = 10, J = 9.5 channel. + 9.5 0.19379476 0.49698899i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5+/10 @ 1 = 97.649 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.7 6.7 + S-matrix 1 = -0.21381 -0.01757 for L= 9, J= 9.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -87.651 44.098 deg. for the L = 9, J = 9.5 channel. + 9.5 -0.21380587 -0.01757322i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5-/ 9 @ 1 = 130.205 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.8 7.3 + S-matrix 1 = 0.19379 0.49699 for L= 10, J= 10.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = 34.349 18.003 deg. for the L = 10, J = 10.5 channel. + 10.5 0.19379476 0.49698899i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5+/10 @ 1 = 107.414 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.8 7.3 + S-matrix 1 = 0.79602 0.38150 for L= 11, J= 10.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = 12.803 3.574 deg. for the L = 11, J = 10.5 channel. + 10.5 0.79602470 0.38149793i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5-/11 @ 1 = 33.151 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.9 8.0 + S-matrix 1 = 0.96014 0.15940 for L= 12, J= 11.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 4.713 0.776 deg. for the L = 12, J = 11.5 channel. + 11.5 0.96013535 0.15939523i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5+/12 @ 1 = 8.637 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.9 8.0 + S-matrix 1 = 0.79602 0.38150 for L= 11, J= 11.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = 12.803 3.574 deg. for the L = 11, J = 11.5 channel. + 11.5 0.79602470 0.38149793i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5-/11 @ 1 = 36.164 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 8.7 + S-matrix 1 = 0.96014 0.15940 for L= 12, J= 12.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 4.713 0.776 deg. for the L = 12, J = 12.5 channel. + 12.5 0.96013535 0.15939523i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5+/12 @ 1 = 9.357 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 8.7 + S-matrix 1 = 0.99134 0.06165 for L= 13, J= 12.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.779 0.194 deg. for the L = 13, J = 12.5 channel. + 12.5 0.99133860 0.06165321i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5-/13 @ 1 = 2.386 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 9.3 + S-matrix 1 = 0.99788 0.02378 for L= 14, J= 13.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.683 0.053 deg. for the L = 14, J = 13.5 channel. + 13.5 0.99787919 0.02378178i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5+/14 @ 1 = 0.702 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 9.3 + S-matrix 1 = 0.99134 0.06165 for L= 13, J= 13.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.779 0.194 deg. for the L = 13, J = 13.5 channel. + 13.5 0.99133860 0.06165321i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5-/13 @ 1 = 2.569 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.1 10.0 + S-matrix 1 = 0.99788 0.02378 for L= 14, J= 14.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.683 0.053 deg. for the L = 14, J = 14.5 channel. + 14.5 0.99787919 0.02378178i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5+/14 @ 1 = 0.752 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.1 10.0 + S-matrix 1 = 0.99944 0.00920 for L= 15, J= 14.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.264 0.015 deg. for the L = 15, J = 14.5 channel. + 14.5 0.99943549 0.00919719i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5-/15 @ 1 = 0.214 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 10.6 + S-matrix 1 = 0.99984 0.00356 for L= 16, J= 15.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.102 0.004 deg. for the L = 16, J = 15.5 channel. + 15.5 0.99984191 0.00356043i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5+/16 @ 1 = 0.066 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 10.6 + S-matrix 1 = 0.99944 0.00920 for L= 15, J= 15.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.264 0.015 deg. for the L = 15, J = 15.5 channel. + 15.5 0.99943549 0.00919719i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5-/15 @ 1 = 0.228 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 11.3 + S-matrix 1 = 0.99984 0.00356 for L= 16, J= 16.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.102 0.004 deg. for the L = 16, J = 16.5 channel. + 16.5 0.99984191 0.00356043i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5+/16 @ 1 = 0.070 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 11.3 + S-matrix 1 = 0.99995 0.00138 for L= 17, J= 16.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.039 0.001 deg. for the L = 17, J = 16.5 channel. + 16.5 0.99995445 0.00137800i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5-/17 @ 1 = 0.021 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 12.0 + S-matrix 1 = 0.99999 0.00053 for L= 18, J= 17.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.015 0.000 deg. for the L = 18, J = 17.5 channel. + 17.5 0.99998668 0.00053291i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5+/18 @ 1 = 6.476/, Out: 0.000# + + + Total SPIN, PARITY = 17.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 12.0 + S-matrix 1 = 0.99995 0.00138 for L= 17, J= 17.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.039 0.001 deg. for the L = 17, J = 17.5 channel. + 17.5 0.99995445 0.00137800i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5-/17 @ 1 = 0.022 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 12.6 + S-matrix 1 = 0.99999 0.00053 for L= 18, J= 18.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.015 0.000 deg. for the L = 18, J = 18.5 channel. + 18.5 0.99998668 0.00053291i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5+/18 @ 1 = 6.835/, Out: 0.000# + + + Total SPIN, PARITY = 18.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 12.6 + S-matrix 1 = 1.00000 0.00021 for L= 19, J= 18.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.006 0.000 deg. for the L = 19, J = 18.5 channel. + 18.5 0.99999608 0.00020589i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5-/19 @ 1 = 2.024/, Out: 0.000# + + + Total SPIN, PARITY = 19.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.5 13.3 + S-matrix 1 = 1.00000 0.00008 for L= 20, J= 19.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 20, J = 19.5 channel. + 19.5 0.99999884 0.00007947i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5+/20 @ 1 = 0.631/, Out: 0.000# + + + Total SPIN, PARITY = 19.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.5 13.3 + S-matrix 1 = 1.00000 0.00021 for L= 19, J= 19.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.006 0.000 deg. for the L = 19, J = 19.5 channel. + 19.5 0.99999608 0.00020589i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5-/19 @ 1 = 2.131/, Out: 0.000# + + + Total SPIN, PARITY = 20.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.6 13.9 + S-matrix 1 = 1.00000 0.00008 for L= 20, J= 20.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 20, J = 20.5 channel. + 20.5 0.99999884 0.00007947i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5+/20 @ 1 = 0.663/, Out: 0.000# + + + Total SPIN, PARITY = 20.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.6 13.9 + S-matrix 1 = 1.00000 0.00003 for L= 21, J= 20.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 21, J = 20.5 channel. + 20.5 0.99999966 0.00003065i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5-/21 @ 1 = 0.196/, Out: 0.000# + + + Total SPIN, PARITY = 21.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.7 14.6 + S-matrix 1 = 1.00000 0.00001 for L= 22, J= 21.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 22, J = 21.5 channel. + 21.5 0.99999990 0.00001181i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5+/22 @ 1 = 0.061/, Out: 0.000# + + + Total SPIN, PARITY = 21.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.7 14.6 + S-matrix 1 = 1.00000 0.00003 for L= 21, J= 21.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 21, J = 21.5 channel. + 21.5 0.99999966 0.00003065i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5-/21 @ 1 = 0.206/, Out: 0.000# + + + Total SPIN, PARITY = 22.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 15.2 + S-matrix 1 = 1.00000 0.00001 for L= 22, J= 22.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 22, J = 22.5 channel. + 22.5 0.99999990 0.00001181i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5+/22 @ 1 = 0.064/, Out: 0.000# + + + Total SPIN, PARITY = 22.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 15.2 + S-matrix 1 = 1.00000 0.00000 for L= 23, J= 22.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 23, J = 22.5 channel. + 22.5 0.99999997 0.00000455i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5-/23 @ 1 = 0.019/, Out: 0.000# + + + Total SPIN, PARITY = 23.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 15.9 + S-matrix 1 = 1.00000 0.00000 for L= 24, J= 23.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 24, J = 23.5 channel. + 23.5 0.99999999 0.00000176i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5+/24 @ 1 = 5.821#, Out: 0.000# + + + Total SPIN, PARITY = 23.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 15.9 + S-matrix 1 = 1.00000 0.00000 for L= 23, J= 23.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 23, J = 23.5 channel. + 23.5 0.99999997 0.00000455i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5-/23 @ 1 = 0.020/, Out: 0.000# + + + Total SPIN, PARITY = 24.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.9 16.6 + S-matrix 1 = 1.00000 0.00000 for L= 24, J= 24.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 24, J = 24.5 channel. + 24.5 0.99999999 0.00000176i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5+/24 @ 1 = 6.063#, Out: 0.000# + + + Total SPIN, PARITY = 24.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.9 16.6 + S-matrix 1 = 1.00000 0.00000 for L= 25, J= 24.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 25, J = 24.5 channel. + 24.5 1.00000000 0.00000068i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5-/25 @ 1 = 1.792#, Out: 0.000# + + + Total SPIN, PARITY = 25.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.0 17.2 + S-matrix 1 = 1.00000 0.00000 for L= 26, J= 25.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 26, J = 25.5 channel. + 25.5 1.00000000 0.00000027i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5+/26 @ 1 = 0.550#, Out: 0.000# + + + Total SPIN, PARITY = 25.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.0 17.2 + S-matrix 1 = 1.00000 0.00000 for L= 25, J= 25.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 25, J = 25.5 channel. + 25.5 1.00000000 0.00000068i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5-/25 @ 1 = 1.864#, Out: 0.000# + + + Total SPIN, PARITY = 26.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 17.9 + S-matrix 1 = 1.00000 0.00000 for L= 26, J= 26.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 26, J = 26.5 channel. + 26.5 1.00000000 0.00000027i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5+/26 @ 1 = 0.572#, Out: 0.000# + + + Total SPIN, PARITY = 26.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 17.9 + S-matrix 1 = 1.00000 0.00000 for L= 27, J= 26.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 27, J = 26.5 channel. + 26.5 1.00000000 0.00000011i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5-/27 @ 1 = 0.169#, Out: 0.000# + + + Total SPIN, PARITY = 27.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 18.5 + S-matrix 1 = 1.00000 0.00000 for L= 28, J= 27.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 28, J = 27.5 channel. + 27.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5+/28 @ 1 = 0.052#, Out: 0.000# + + + Total SPIN, PARITY = 27.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 18.5 + S-matrix 1 = 1.00000 0.00000 for L= 27, J= 27.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 27, J = 27.5 channel. + 27.5 1.00000000 0.00000011i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5-/27 @ 1 = 0.175#, Out: 0.000# + + + Total SPIN, PARITY = 28.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.2 19.2 + S-matrix 1 = 1.00000 0.00000 for L= 28, J= 28.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 28, J = 28.5 channel. + 28.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5+/28 @ 1 = 0.053#, Out: 0.000# + + + Total SPIN, PARITY = 28.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.2 19.2 + S-matrix 1 = 1.00000 0.00000 for L= 29, J= 28.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 29, J = 28.5 channel. + 28.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5-/29 @ 1 = 0.016#, Out: 0.000# + + + Total SPIN, PARITY = 29.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.3 19.9 + S-matrix 1 = 1.00000 0.00000 for L= 30, J= 29.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 30, J = 29.5 channel. + 29.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5+/30 @ 1 = 0.005#, Out: 0.000# + + + Total SPIN, PARITY = 29.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.3 19.9 + S-matrix 1 = 1.00000 0.00000 for L= 29, J= 29.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 29, J = 29.5 channel. + 29.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5-/29 @ 1 = 0.016#, Out: 0.000# + + + Total SPIN, PARITY = 30.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.4 20.5 + S-matrix 1 = 1.00000 0.00000 for L= 30, J= 30.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 30, J = 30.5 channel. + 30.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5+/30 @ 1 = 0.005#, Out: 0.000# + + + Total SPIN, PARITY = 30.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.4 20.5 + S-matrix 1 = 1.00000 0.00000 for L= 31, J= 30.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 31, J = 30.5 channel. + 30.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5-/31 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 31.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.5 21.2 + S-matrix 1 = 1.00000 0.00000 for L= 32, J= 31.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 32, J = 31.5 channel. + 31.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5+/32 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 31.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.5 21.2 + S-matrix 1 = 1.00000 0.00000 for L= 31, J= 31.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 31, J = 31.5 channel. + 31.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5-/31 @ 1 = 0.002#, Out: 0.000# + + + Total SPIN, PARITY = 32.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 21.8 + S-matrix 1 = 1.00000 0.00000 for L= 32, J= 32.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 32, J = 32.5 channel. + 32.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5+/32 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 32.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 21.8 + S-matrix 1 = 1.00000 0.00000 for L= 33, J= 32.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 33, J = 32.5 channel. + 32.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5-/33 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 33.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 22.5 + S-matrix 1 = 1.00000 0.00000 for L= 34, J= 33.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 34, J = 33.5 channel. + 33.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5+/34 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 33.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 22.5 + S-matrix 1 = 1.00000 0.00000 for L= 33, J= 33.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 33, J = 33.5 channel. + 33.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5-/33 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 34.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.7 23.2 + S-matrix 1 = 1.00000 0.00000 for L= 34, J= 34.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 34, J = 34.5 channel. + 34.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5+/34 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 34.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.7 23.2 + S-matrix 1 = 1.00000 0.00000 for L= 35, J= 34.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 35, J = 34.5 channel. + 34.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5-/35 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 35.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.8 23.8 + S-matrix 1 = 1.00000 0.00000 for L= 36, J= 35.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 36, J = 35.5 channel. + 35.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5+/36 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 35.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.8 23.8 + S-matrix 1 = 1.00000 0.00000 for L= 35, J= 35.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 35, J = 35.5 channel. + 35.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5-/35 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 36.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.9 24.5 + S-matrix 1 = 1.00000 0.00000 for L= 36, J= 36.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 36, J = 36.5 channel. + 36.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5+/36 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 36.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.9 24.5 + S-matrix 1 = 1.00000 0.00000 for L= 37, J= 36.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 37, J = 36.5 channel. + 36.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5-/37 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 37.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 25.1 + S-matrix 1 = 1.00000 0.00000 for L= 38, J= 37.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 38, J = 37.5 channel. + 37.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5+/38 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 37.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 25.1 + S-matrix 1 = 1.00000 0.00000 for L= 37, J= 37.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 37, J = 37.5 channel. + 37.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5-/37 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 38.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 25.8 + S-matrix 1 = 1.00000 0.00000 for L= 38, J= 38.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 38, J = 38.5 channel. + 38.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5+/38 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 38.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 25.8 + S-matrix 1 = 1.00000 0.00000 for L= 39, J= 38.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 39, J = 38.5 channel. + 38.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5-/39 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 39.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.1 26.5 + S-matrix 1 = 1.00000 0.00000 for L= 40, J= 39.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 40, J = 39.5 channel. + 39.5 1.00000000 0.00000000i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5+/40 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 39.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.1 26.5 + S-matrix 1 = 1.00000 0.00000 for L= 39, J= 39.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 39, J = 39.5 channel. + 39.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5-/39 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 40.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 27.1 + S-matrix 1 = 1.00000 0.00000 for L= 40, J= 40.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 40, J = 40.5 channel. + 40.5 1.00000000 0.00000000i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5+/40 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 40.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 27.1 + S-matrix 1 = 1.00000 0.00000 for L= 41, J= 40.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 41, J = 40.5 channel. + 40.5 1.00000000 0.00000000i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5-/41 @ 1 = -0.000#, Out: 0.000# + + Finished all CC sets @ 2.02859994E-02 +0CUMULATIVE REACTION cross section = 1575.17623 = 6.99 = 56.5 +0CUMULATIVE ELASTIC cross section = 0.00000 +0CUMULATIVE outgoing cross sections in partition 1 : 0.00000 +0Cumulative ABSORBTION by Imaginary Potentials = 1575.17623 = 6.99 = 56.5 + Fusion for specific p M-states : 1575.176234 1575.176234 +0CUMULATIVE OUTGOING cross section = 0.00000 + Strength functions * 10^4 for L=0-2 = 0.21789 0.22111 2.18067 (with r0= 1.35 fm). R' = 0.163 fm + To convert to S-factors (MeV.mb = keV.b), multiply by 2.5154E+03 + + + CROSS SECTIONS FOR OUTGOING p & Ni78 in state # 1 with spins & parities 0.5 + & 0.0 +; 0 + + 0.01 deg.: X-S = 7.379052E+15 mb/sr, ++ /R = 9.999984E-01 + 1.00 deg.: X-S = 7.353621E+07 mb/sr, ++ /R = 9.965015E-01 + 2.00 deg.: X-S = 4.215455E+06 mb/sr, ++ /R = 9.138502E-01 + 3.00 deg.: X-S = 7.146546E+05 mb/sr, ++ /R = 7.841182E-01 + 4.00 deg.: X-S = 1.919466E+05 mb/sr, ++ /R = 6.653749E-01 + 5.00 deg.: X-S = 7.092403E+04 mb/sr, ++ /R = 5.999581E-01 + 6.00 deg.: X-S = 3.474916E+04 mb/sr, ++ /R = 6.091922E-01 + 7.00 deg.: X-S = 2.136351E+04 mb/sr, ++ /R = 6.933987E-01 + 8.00 deg.: X-S = 1.508204E+04 mb/sr, ++ /R = 8.344635E-01 + 9.00 deg.: X-S = 1.130014E+04 mb/sr, ++ /R = 1.000613E+00 + 10.00 deg.: X-S = 8551.549869 mb/sr, ++ /R = 1.153024E+00 + 11.00 deg.: X-S = 6356.527752 mb/sr, ++ /R = 1.253490E+00 + 12.00 deg.: X-S = 4560.005041 mb/sr, ++ /R = 1.272075E+00 + 13.00 deg.: X-S = 3110.125187 mb/sr, ++ /R = 1.193499E+00 + 14.00 deg.: X-S = 1981.043293 mb/sr, ++ /R = 1.021130E+00 + 15.00 deg.: X-S = 1146.750358 mb/sr, ++ /R = 7.778016E-01 + 16.00 deg.: X-S = 573.957195 mb/sr, ++ /R = 5.031645E-01 + 17.00 deg.: X-S = 222.258149 mb/sr, ++ /R = 2.478993E-01 + 18.00 deg.: X-S = 46.927954 mb/sr, ++ /R = 6.567055E-02 + 19.00 deg.: X-S = 2.384178 mb/sr, ++ /R = 4.134138E-03 + 20.00 deg.: X-S = 45.423472 mb/sr, ++ /R = 9.650960E-02 + 21.00 deg.: X-S = 137.814529 mb/sr, ++ /R = 3.551702E-01 + 22.00 deg.: X-S = 248.071317 mb/sr, ++ /R = 7.683892E-01 + 23.00 deg.: X-S = 352.373054 mb/sr, ++ /R = 1.300868E+00 + 24.00 deg.: X-S = 434.692496 mb/sr, ++ /R = 1.898048E+00 + 25.00 deg.: X-S = 486.258552 mb/sr, ++ /R = 2.493581E+00 + 26.00 deg.: X-S = 504.518811 mb/sr, ++ /R = 3.018831E+00 + 27.00 deg.: X-S = 491.784736 mb/sr, ++ /R = 3.412914E+00 + 28.00 deg.: X-S = 453.739526 mb/sr, ++ /R = 3.631756E+00 + 29.00 deg.: X-S = 397.969560 mb/sr, ++ /R = 3.654750E+00 + 30.00 deg.: X-S = 332.649152 mb/sr, ++ /R = 3.488033E+00 + 31.00 deg.: X-S = 265.470190 mb/sr, ++ /R = 3.163883E+00 + 32.00 deg.: X-S = 202.867865 mb/sr, ++ /R = 2.736370E+00 + 33.00 deg.: X-S = 149.555524 mb/sr, ++ /R = 2.273940E+00 + 34.00 deg.: X-S = 108.349188 mb/sr, ++ /R = 1.850020E+00 + 35.00 deg.: X-S = 80.237631 mb/sr, ++ /R = 1.533044E+00 + 36.00 deg.: X-S = 64.638329 mb/sr, ++ /R = 1.377301E+00 + 37.00 deg.: X-S = 59.772892 mb/sr, ++ /R = 1.415857E+00 + 38.00 deg.: X-S = 63.096929 mb/sr, ++ /R = 1.656476E+00 + 39.00 deg.: X-S = 71.726944 mb/sr, ++ /R = 2.081003E+00 + 40.00 deg.: X-S = 82.818901 mb/sr, ++ /R = 2.648168E+00 + 41.00 deg.: X-S = 93.867445 mb/sr, ++ /R = 3.299328E+00 + 42.00 deg.: X-S = 102.909435 mb/sr, ++ /R = 3.966260E+00 + 43.00 deg.: X-S = 108.628943 mb/sr, ++ /R = 4.579906E+00 + 44.00 deg.: X-S = 110.371933 mb/sr, ++ /R = 5.078899E+00 + 45.00 deg.: X-S = 108.086839 mb/sr, ++ /R = 5.416774E+00 + 46.00 deg.: X-S = 102.211939 mb/sr, ++ /R = 5.567022E+00 + 47.00 deg.: X-S = 93.531984 mb/sr, ++ /R = 5.525457E+00 + 48.00 deg.: X-S = 83.025367 mb/sr, ++ /R = 5.309741E+00 + 49.00 deg.: X-S = 71.719987 mb/sr, ++ /R = 4.956297E+00 + 50.00 deg.: X-S = 60.571441 mb/sr, ++ /R = 4.515130E+00 + 51.00 deg.: X-S = 50.372209 mb/sr, ++ /R = 4.043316E+00 + 52.00 deg.: X-S = 41.695475 mb/sr, ++ /R = 3.598041E+00 + 53.00 deg.: X-S = 34.872909 mb/sr, ++ /R = 3.230035E+00 + 54.00 deg.: X-S = 30.002256 mb/sr, ++ /R = 2.978175E+00 + 55.00 deg.: X-S = 26.978264 mb/sr, ++ /R = 2.865799E+00 + 56.00 deg.: X-S = 25.539264 mb/sr, ++ /R = 2.899044E+00 + 57.00 deg.: X-S = 25.321573 mb/sr, ++ /R = 3.067267E+00 + 58.00 deg.: X-S = 25.914546 mb/sr, ++ /R = 3.345321E+00 + 59.00 deg.: X-S = 26.910447 mb/sr, ++ /R = 3.697307E+00 + 60.00 deg.: X-S = 27.944928 mb/sr, ++ /R = 4.081242E+00 + 61.00 deg.: X-S = 28.725689 mb/sr, ++ /R = 4.454052E+00 + 62.00 deg.: X-S = 29.048587 mb/sr, ++ /R = 4.776301E+00 + 63.00 deg.: X-S = 28.801880 mb/sr, ++ /R = 5.016150E+00 + 64.00 deg.: X-S = 27.960375 mb/sr, ++ /R = 5.152181E+00 + 65.00 deg.: X-S = 26.571967 mb/sr, ++ /R = 5.174866E+00 + 66.00 deg.: X-S = 24.739335 mb/sr, ++ /R = 5.086656E+00 + 67.00 deg.: X-S = 22.599534 mb/sr, ++ /R = 4.900798E+00 + 68.00 deg.: X-S = 20.303933 mb/sr, ++ /R = 4.639125E+00 + 69.00 deg.: X-S = 18.000410 mb/sr, ++ /R = 4.329162E+00 + 70.00 deg.: X-S = 15.819165 mb/sr, ++ /R = 4.000903E+00 + 71.00 deg.: X-S = 13.862853 mb/sr, ++ /R = 3.683647E+00 + 72.00 deg.: X-S = 12.201202 mb/sr, ++ /R = 3.403194E+00 + 73.00 deg.: X-S = 10.869785 mb/sr, ++ /R = 3.179660E+00 + 74.00 deg.: X-S = 9.872283 mb/sr, ++ /R = 3.026070E+00 + 75.00 deg.: X-S = 9.185353 mb/sr, ++ /R = 2.947770E+00 + 76.00 deg.: X-S = 8.765145 mb/sr, ++ /R = 2.942634E+00 + 77.00 deg.: X-S = 8.554527 mb/sr, ++ /R = 3.001951E+00 + 78.00 deg.: X-S = 8.490217 mb/sr, ++ /R = 3.111826E+00 + 79.00 deg.: X-S = 8.509177 mb/sr, ++ /R = 3.254910E+00 + 80.00 deg.: X-S = 8.553829 mb/sr, ++ /R = 3.412242E+00 + 81.00 deg.: X-S = 8.575864 mb/sr, ++ /R = 3.565044E+00 + 82.00 deg.: X-S = 8.538579 mb/sr, ++ /R = 3.696295E+00 + 83.00 deg.: X-S = 8.417848 mb/sr, ++ /R = 3.792003E+00 + 84.00 deg.: X-S = 8.201894 mb/sr, ++ /R = 3.842086E+00 + 85.00 deg.: X-S = 7.890157 mb/sr, ++ /R = 3.840859E+00 + 86.00 deg.: X-S = 7.491491 mb/sr, ++ /R = 3.787136E+00 + 87.00 deg.: X-S = 7.021989 mb/sr, ++ /R = 3.683989E+00 + 88.00 deg.: X-S = 6.502661 mb/sr, ++ /R = 3.538226E+00 + 89.00 deg.: X-S = 5.957143 mb/sr, ++ /R = 3.359653E+00 + 90.00 deg.: X-S = 5.409592 mb/sr, ++ /R = 3.160194E+00 + 91.00 deg.: X-S = 4.882856 mb/sr, ++ /R = 2.952918E+00 + 92.00 deg.: X-S = 4.396971 mb/sr, ++ /R = 2.751055E+00 + 93.00 deg.: X-S = 3.968014 mb/sr, ++ /R = 2.567033E+00 + 94.00 deg.: X-S = 3.607328 mb/sr, ++ /R = 2.411597E+00 + 95.00 deg.: X-S = 3.321093 mb/sr, ++ /R = 2.293052E+00 + 96.00 deg.: X-S = 3.110258 mb/sr, ++ /R = 2.216663E+00 + 97.00 deg.: X-S = 2.970791 mb/sr, ++ /R = 2.184268E+00 + 98.00 deg.: X-S = 2.894231 mb/sr, ++ /R = 2.194128E+00 + 99.00 deg.: X-S = 2.868512 mb/sr, ++ /R = 2.241032E+00 + 100.00 deg.: X-S = 2.878998 mb/sr, ++ /R = 2.316683E+00 + 101.00 deg.: X-S = 2.909678 mb/sr, ++ /R = 2.410341E+00 + 102.00 deg.: X-S = 2.944438 mb/sr, ++ /R = 2.509702E+00 + 103.00 deg.: X-S = 2.968323 mb/sr, ++ /R = 2.601944E+00 + 104.00 deg.: X-S = 2.968695 mb/sr, ++ /R = 2.674875E+00 + 105.00 deg.: X-S = 2.936189 mb/sr, ++ /R = 2.718065E+00 + 106.00 deg.: X-S = 2.865387 mb/sr, ++ /R = 2.723874E+00 + 107.00 deg.: X-S = 2.755147 mb/sr, ++ /R = 2.688245E+00 + 108.00 deg.: X-S = 2.608538 mb/sr, ++ /R = 2.611182E+00 + 109.00 deg.: X-S = 2.432406 mb/sr, ++ /R = 2.496833E+00 + 110.00 deg.: X-S = 2.236577 mb/sr, ++ /R = 2.353158E+00 + 111.00 deg.: X-S = 2.032792 mb/sr, ++ /R = 2.191176E+00 + 112.00 deg.: X-S = 1.833473 mb/sr, ++ /R = 2.023861E+00 + 113.00 deg.: X-S = 1.650430 mb/sr, ++ /R = 1.864802E+00 + 114.00 deg.: X-S = 1.493658 mb/sr, ++ /R = 1.726737E+00 + 115.00 deg.: X-S = 1.370345 mb/sr, ++ /R = 1.620153E+00 + 116.00 deg.: X-S = 1.284184 mb/sr, ++ /R = 1.552096E+00 + 117.00 deg.: X-S = 1.235085 mb/sr, ++ /R = 1.525350E+00 + 118.00 deg.: X-S = 1.219293 mb/sr, ++ /R = 1.538083E+00 + 119.00 deg.: X-S = 1.229912 mb/sr, ++ /R = 1.584036E+00 + 120.00 deg.: X-S = 1.257777 mb/sr, ++ /R = 1.653238E+00 + 121.00 deg.: X-S = 1.292552 mb/sr, ++ /R = 1.733183E+00 + 122.00 deg.: X-S = 1.323957 mb/sr, ++ /R = 1.810341E+00 + 123.00 deg.: X-S = 1.342954 mb/sr, ++ /R = 1.871822E+00 + 124.00 deg.: X-S = 1.342771 mb/sr, ++ /R = 1.907001E+00 + 125.00 deg.: X-S = 1.319633 mb/sr, ++ /R = 1.908878E+00 + 126.00 deg.: X-S = 1.273125 mb/sr, ++ /R = 1.875012E+00 + 127.00 deg.: X-S = 1.206133 mb/sr, ++ /R = 1.807878E+00 + 128.00 deg.: X-S = 1.124377 mb/sr, ++ /R = 1.714597E+00 + 129.00 deg.: X-S = 1.035606 mb/sr, ++ /R = 1.606041E+00 + 130.00 deg.: X-S = 0.948523 mb/sr, ++ /R = 1.495409E+00 + 131.00 deg.: X-S = 0.871616 mb/sr, ++ /R = 1.396452E+00 + 132.00 deg.: X-S = 0.812006 mb/sr, ++ /R = 1.321566E+00 + 133.00 deg.: X-S = 0.774476 mb/sr, ++ /R = 1.279995E+00 + 134.00 deg.: X-S = 0.760806 mb/sr, ++ /R = 1.276402E+00 + 135.00 deg.: X-S = 0.769494 mb/sr, ++ /R = 1.310014E+00 + 136.00 deg.: X-S = 0.795915 mb/sr, ++ /R = 1.374483E+00 + 137.00 deg.: X-S = 0.832894 mb/sr, ++ /R = 1.458514E+00 + 138.00 deg.: X-S = 0.871643 mb/sr, ++ /R = 1.547229E+00 + 139.00 deg.: X-S = 0.902926 mb/sr, ++ /R = 1.624098E+00 + 140.00 deg.: X-S = 0.918337 mb/sr, ++ /R = 1.673226E+00 + 141.00 deg.: X-S = 0.911493 mb/sr, ++ /R = 1.681701E+00 + 142.00 deg.: X-S = 0.879018 mb/sr, ++ /R = 1.641676E+00 + 143.00 deg.: X-S = 0.821161 mb/sr, ++ /R = 1.551901E+00 + 144.00 deg.: X-S = 0.741958 mb/sr, ++ /R = 1.418449E+00 + 145.00 deg.: X-S = 0.648904 mb/sr, ++ /R = 1.254492E+00 + 146.00 deg.: X-S = 0.552156 mb/sr, ++ /R = 1.079087E+00 + 147.00 deg.: X-S = 0.463335 mb/sr, ++ /R = 9.150650E-01 + 148.00 deg.: X-S = 0.394078 mb/sr, ++ /R = 7.862446E-01 + 149.00 deg.: X-S = 0.354501 mb/sr, ++ /R = 7.142802E-01 + 150.00 deg.: X-S = 0.351765 mb/sr, ++ /R = 7.155449E-01 + 151.00 deg.: X-S = 0.388932 mb/sr, ++ /R = 7.984521E-01 + 152.00 deg.: X-S = 0.464268 mb/sr, ++ /R = 9.616009E-01 + 153.00 deg.: X-S = 0.571114 mb/sr, ++ /R = 1.193049E+00 + 154.00 deg.: X-S = 0.698355 mb/sr, ++ /R = 1.470894E+00 + 155.00 deg.: X-S = 0.831493 mb/sr, ++ /R = 1.765200E+00 + 156.00 deg.: X-S = 0.954202 mb/sr, ++ /R = 2.041114E+00 + 157.00 deg.: X-S = 1.050235 mb/sr, ++ /R = 2.262907E+00 + 158.00 deg.: X-S = 1.105456 mb/sr, ++ /R = 2.398485E+00 + 159.00 deg.: X-S = 1.109775 mb/sr, ++ /R = 2.423867E+00 + 160.00 deg.: X-S = 1.058762 mb/sr, ++ /R = 2.327092E+00 + 161.00 deg.: X-S = 0.954715 mb/sr, ++ /R = 2.111026E+00 + 162.00 deg.: X-S = 0.807040 mb/sr, ++ /R = 1.794669E+00 + 163.00 deg.: X-S = 0.631863 mb/sr, ++ /R = 1.412685E+00 + 164.00 deg.: X-S = 0.450848 mb/sr, ++ /R = 1.013096E+00 + 165.00 deg.: X-S = 0.289332 mb/sr, ++ /R = 6.532509E-01 + 166.00 deg.: X-S = 0.173924 mb/sr, ++ /R = 3.944308E-01 + 167.00 deg.: X-S = 0.129802 mb/sr, ++ /R = 2.955877E-01 + 168.00 deg.: X-S = 0.177982 mb/sr, ++ /R = 4.068571E-01 + 169.00 deg.: X-S = 0.332841 mb/sr, ++ /R = 7.635369E-01 + 170.00 deg.: X-S = 0.600168 mb/sr, ++ /R = 1.381208E+00 + 171.00 deg.: X-S = 0.975962 mb/sr, ++ /R = 2.252573E+00 + 172.00 deg.: X-S = 1.446141 mb/sr, ++ /R = 3.346440E+00 + 173.00 deg.: X-S = 1.987210 mb/sr, ++ /R = 4.609033E+00 + 174.00 deg.: X-S = 2.567878 mb/sr, ++ /R = 5.967621E+00 + 175.00 deg.: X-S = 3.151468 mb/sr, ++ /R = 7.336147E+00 + 176.00 deg.: X-S = 3.698929 mb/sr, ++ /R = 8.622372E+00 + 177.00 deg.: X-S = 4.172152 mb/sr, ++ /R = 9.735853E+00 + 178.00 deg.: X-S = 4.537283 mb/sr, ++ /R = 1.059597E+01 + 179.00 deg.: X-S = 4.767719 mb/sr, ++ /R = 1.113920E+01 + 179.99 deg.: X-S = 4.846469 mb/sr, ++ /R = 1.132491E+01 + Integrated 1.4123E+11 mb, over [ 0.000, 180.000] at 49.3500 MeV + Finished all xsecs @ 2.38170009E-02 +1*********************************************************************************************************************************** +************************************************************************************************************************************ + + INCOMING p ; LABORATORY p ENERGY = 100.00 MeV. + + *********************************************************************************************************************************** + *********************************************************************************************************************************** + + + NOTE: Coulomb excitation cut off below 0.315 deg by JTMAX, and below 0.390 deg by Rmax + + Allocate arrays for 1 channels, of which 1 need wfs. + + ######################################################################################################################### + # # + # Total SPIN and PARITY = 0.5 +, 1 channels, 0 in 1st block. Rmin & Coul turning = 0.0 4.084E-01 fm. # + # # + ######################################################################################################################### + + + + C Projectl Target # EX. (L Proj) J + Targ = Jtotal E-cm Re K Re Eta RM*K CH G-REL + 1 p Ni78 # 1: I 0 0.5 0.5 0.0 0.5 98.73418 2.15966 0.44096 129.5798 -0.47418 0.16126 1 1 1 1 1.00000 + S-matrix 1 = 0.10910 0.27388 for L= 0, J= 0.5 channel on core I = 0.0 from L= 0, Acc. loss = 0.0 D. + Elastic phase shift 1 = 34.140 34.991 deg. for the L = 0, J = 0.5 channel. + 0.5 0.10910091 0.27387708i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5+/ 0 @ 1 = 6.150 , Out: 0.000# + + + Total SPIN, PARITY = 0.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.0 0.4 + S-matrix 1 = 0.27883 0.09896 for L= 1, J= 0.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = 9.771 34.888 deg. for the L = 1, J = 0.5 channel. + 0.5 0.27882775 0.09896354i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5-/ 1 @ 1 = 6.146 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.9 + S-matrix 1 = 0.29662 -0.03983 for L= 2, J= 1.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = -3.824 34.560 deg. for the L = 2, J = 1.5 channel. + 1.5 0.29661766 -0.03983425i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5+/ 2 @ 1 = 12.265 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.9 + S-matrix 1 = 0.27883 0.09896 for L= 1, J= 1.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = 9.771 34.888 deg. for the L = 1, J = 1.5 channel. + 1.5 0.27882775 0.09896354i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5-/ 1 @ 1 = 12.292 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.4 + S-matrix 1 = 0.29662 -0.03983 for L= 2, J= 2.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = -3.824 34.560 deg. for the L = 2, J = 2.5 channel. + 2.5 0.29661766 -0.03983425i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5+/ 2 @ 1 = 18.397 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.4 + S-matrix 1 = 0.26812 -0.14176 for L= 3, J= 2.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = -13.933 34.179 deg. for the L = 3, J = 2.5 channel. + 2.5 0.26812402 -0.14175503i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5-/ 3 @ 1 = 18.348 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.8 + S-matrix 1 = 0.21780 -0.22055 for L= 4, J= 3.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -22.679 33.555 deg. for the L = 4, J = 3.5 channel. + 3.5 0.21780480 -0.22054831i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5+/ 4 @ 1 = 24.354 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.8 + S-matrix 1 = 0.26812 -0.14176 for L= 3, J= 3.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = -13.933 34.179 deg. for the L = 3, J = 3.5 channel. + 3.5 0.26812402 -0.14175503i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5-/ 3 @ 1 = 24.464 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.3 2.3 + S-matrix 1 = 0.21780 -0.22055 for L= 4, J= 4.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -22.679 33.555 deg. for the L = 4, J = 4.5 channel. + 4.5 0.21780480 -0.22054831i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5+/ 4 @ 1 = 30.442 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.3 2.3 + S-matrix 1 = 0.15125 -0.27935 for L= 5, J= 4.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -30.784 32.852 deg. for the L = 5, J = 4.5 channel. + 4.5 0.15124763 -0.27934937i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5-/ 5 @ 1 = 30.280 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.4 2.7 + S-matrix 1 = 0.06822 -0.32020 for L= 6, J= 5.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -38.987 31.989 deg. for the L = 6, J = 5.5 channel. + 5.5 0.06821584 -0.32019673i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5+/ 6 @ 1 = 36.082 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.4 2.7 + S-matrix 1 = 0.15125 -0.27935 for L= 5, J= 5.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -30.784 32.852 deg. for the L = 5, J = 5.5 channel. + 5.5 0.15124763 -0.27934937i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5-/ 5 @ 1 = 36.336 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.5 3.2 + S-matrix 1 = 0.06822 -0.32020 for L= 6, J= 6.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -38.987 31.989 deg. for the L = 6, J = 6.5 channel. + 6.5 0.06821584 -0.32019673i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5+/ 6 @ 1 = 42.096 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.5 3.2 + S-matrix 1 = -0.02869 -0.33961 for L= 7, J= 6.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -47.415 30.837 deg. for the L = 7, J = 6.5 channel. + 6.5 -0.02869268 -0.33960864i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5-/ 7 @ 1 = 41.673 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 3.7 + S-matrix 1 = -0.13714 -0.32640 for L= 8, J= 7.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -56.395 29.746 deg. for the L = 8, J = 7.5 channel. + 7.5 -0.13713970 -0.32639992i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5+/ 8 @ 1 = 47.131 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 3.7 + S-matrix 1 = -0.02869 -0.33961 for L= 7, J= 7.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -47.415 30.837 deg. for the L = 7, J = 7.5 channel. + 7.5 -0.02869268 -0.33960864i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5-/ 7 @ 1 = 47.626 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 4.1 + S-matrix 1 = -0.13714 -0.32640 for L= 8, J= 8.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -56.395 29.746 deg. for the L = 8, J = 8.5 channel. + 8.5 -0.13713970 -0.32639992i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5+/ 8 @ 1 = 53.022 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 4.1 + S-matrix 1 = -0.25556 -0.27037 for L= 9, J= 8.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -66.694 28.326 deg. for the L = 9, J = 8.5 channel. + 8.5 -0.25555889 -0.27036898i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5-/ 9 @ 1 = 52.230 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.7 4.6 + S-matrix 1 = -0.36449 -0.16134 for L= 10, J= 9.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = -78.062 26.350 deg. for the L = 10, J = 9.5 channel. + 9.5 -0.36449058 -0.16134077i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5+/10 @ 1 = 56.654 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.7 4.6 + S-matrix 1 = -0.25556 -0.27037 for L= 9, J= 9.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -66.694 28.326 deg. for the L = 9, J = 9.5 channel. + 9.5 -0.25555889 -0.27036898i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5-/ 9 @ 1 = 58.033 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.8 5.1 + S-matrix 1 = -0.36449 -0.16134 for L= 10, J= 10.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = -78.062 26.350 deg. for the L = 10, J = 10.5 channel. + 10.5 -0.36449058 -0.16134077i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5+/10 @ 1 = 62.320 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.8 5.1 + S-matrix 1 = -0.42014 0.01113 for L= 11, J= 10.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = 89.242 24.832 deg. for the L = 11, J = 10.5 channel. + 10.5 -0.42014256 0.01112663i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5-/11 @ 1 = 61.004 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.9 5.5 + S-matrix 1 = -0.36139 0.25584 for L= 12, J= 11.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 72.352 23.339 deg. for the L = 12, J = 11.5 channel. + 11.5 -0.36139195 0.25584044i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5+/12 @ 1 = 64.981 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.9 5.5 + S-matrix 1 = -0.42014 0.01113 for L= 11, J= 11.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = 89.242 24.832 deg. for the L = 11, J = 11.5 channel. + 11.5 -0.42014256 0.01112663i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5-/11 @ 1 = 66.550 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 6.0 + S-matrix 1 = -0.36139 0.25584 for L= 12, J= 12.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 72.352 23.339 deg. for the L = 12, J = 12.5 channel. + 12.5 -0.36139195 0.25584044i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5+/12 @ 1 = 70.396 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 6.0 + S-matrix 1 = -0.09785 0.52568 for L= 13, J= 12.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 50.272 17.934 deg. for the L = 13, J = 12.5 channel. + 12.5 -0.09784909 0.52568418i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5-/13 @ 1 = 62.527 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 6.5 + S-matrix 1 = 0.35845 0.62170 for L= 14, J= 13.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 30.017 9.505 deg. for the L = 14, J = 13.5 channel. + 13.5 0.35845014 0.62169968i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5+/14 @ 1 = 45.735 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 6.5 + S-matrix 1 = -0.09785 0.52568 for L= 13, J= 13.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 50.272 17.934 deg. for the L = 13, J = 13.5 channel. + 13.5 -0.09784909 0.52568418i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5-/13 @ 1 = 67.337 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.1 6.9 + S-matrix 1 = 0.35845 0.62170 for L= 14, J= 14.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 30.017 9.505 deg. for the L = 14, J = 14.5 channel. + 14.5 0.35845014 0.62169968i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5+/14 @ 1 = 49.002 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.1 6.9 + S-matrix 1 = 0.73460 0.47020 for L= 15, J= 14.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 16.311 3.917 deg. for the L = 15, J = 14.5 channel. + 14.5 0.73460146 0.47020372i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5-/15 @ 1 = 24.174 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 7.4 + S-matrix 1 = 0.90806 0.27643 for L= 16, J= 15.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 8.466 1.494 deg. for the L = 16, J = 15.5 channel. + 15.5 0.90805977 0.27642787i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5+/16 @ 1 = 10.671 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 7.4 + S-matrix 1 = 0.73460 0.47020 for L= 15, J= 15.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 16.311 3.917 deg. for the L = 15, J = 15.5 channel. + 15.5 0.73460146 0.47020372i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5-/15 @ 1 = 25.786 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 7.8 + S-matrix 1 = 0.90806 0.27643 for L= 16, J= 16.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 8.466 1.494 deg. for the L = 16, J = 16.5 channel. + 16.5 0.90805977 0.27642787i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5+/16 @ 1 = 11.338 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 7.8 + S-matrix 1 = 0.96909 0.14745 for L= 17, J= 16.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 4.326 0.572 deg. for the L = 17, J = 16.5 channel. + 16.5 0.96909192 0.14745329i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5-/17 @ 1 = 4.479 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 8.3 + S-matrix 1 = 0.98929 0.07618 for L= 18, J= 17.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 2.202 0.224 deg. for the L = 18, J = 17.5 channel. + 17.5 0.98928998 0.07617985i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5+/18 @ 1 = 1.879 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 8.3 + S-matrix 1 = 0.96909 0.14745 for L= 17, J= 17.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 4.326 0.572 deg. for the L = 17, J = 17.5 channel. + 17.5 0.96909192 0.14745329i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5-/17 @ 1 = 4.743 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 8.8 + S-matrix 1 = 0.98929 0.07618 for L= 18, J= 18.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 2.202 0.224 deg. for the L = 18, J = 18.5 channel. + 18.5 0.98928998 0.07617985i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5+/18 @ 1 = 1.984 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 8.8 + S-matrix 1 = 0.99612 0.03895 for L= 19, J= 18.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.120 0.089 deg. for the L = 19, J = 18.5 channel. + 18.5 0.99612038 0.03894849i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5-/19 @ 1 = 0.797 , Out: 0.000# + + + Total SPIN, PARITY = 19.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.5 9.2 + S-matrix 1 = 0.99854 0.01984 for L= 20, J= 19.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.569 0.036 deg. for the L = 20, J = 19.5 channel. + 19.5 0.99853582 0.01983824i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5+/20 @ 1 = 0.341 , Out: 0.000# + + + Total SPIN, PARITY = 19.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.5 9.2 + S-matrix 1 = 0.99612 0.03895 for L= 19, J= 19.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.120 0.089 deg. for the L = 19, J = 19.5 channel. + 19.5 0.99612038 0.03894849i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5-/19 @ 1 = 0.839 , Out: 0.000# + + + Total SPIN, PARITY = 20.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.6 9.7 + S-matrix 1 = 0.99854 0.01984 for L= 20, J= 20.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.569 0.036 deg. for the L = 20, J = 20.5 channel. + 20.5 0.99853582 0.01983824i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5+/20 @ 1 = 0.358 , Out: 0.000# + + + Total SPIN, PARITY = 20.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.6 9.7 + S-matrix 1 = 0.99943 0.01009 for L= 21, J= 20.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.289 0.015 deg. for the L = 21, J = 20.5 channel. + 20.5 0.99942934 0.01008732i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5-/21 @ 1 = 0.147 , Out: 0.000# + + + Total SPIN, PARITY = 21.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.7 10.2 + S-matrix 1 = 0.99977 0.00512 for L= 22, J= 21.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.147 0.006 deg. for the L = 22, J = 21.5 channel. + 21.5 0.99977242 0.00512383i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5+/22 @ 1 = 0.064 , Out: 0.000# + + + Total SPIN, PARITY = 21.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.7 10.2 + S-matrix 1 = 0.99943 0.01009 for L= 21, J= 21.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.289 0.015 deg. for the L = 21, J = 21.5 channel. + 21.5 0.99942934 0.01008732i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5-/21 @ 1 = 0.154 , Out: 0.000# + + + Total SPIN, PARITY = 22.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 10.6 + S-matrix 1 = 0.99977 0.00512 for L= 22, J= 22.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.147 0.006 deg. for the L = 22, J = 22.5 channel. + 22.5 0.99977242 0.00512383i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5+/22 @ 1 = 0.066 , Out: 0.000# + + + Total SPIN, PARITY = 22.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 10.6 + S-matrix 1 = 0.99991 0.00260 for L= 23, J= 22.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.075 0.003 deg. for the L = 23, J = 22.5 channel. + 22.5 0.99990783 0.00260051i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5-/23 @ 1 = 0.028 , Out: 0.000# + + + Total SPIN, PARITY = 23.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 11.1 + S-matrix 1 = 0.99996 0.00132 for L= 24, J= 23.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.038 0.001 deg. for the L = 24, J = 23.5 channel. + 23.5 0.99996230 0.00131889i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5+/24 @ 1 = 0.012 , Out: 0.000# + + + Total SPIN, PARITY = 23.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 11.1 + S-matrix 1 = 0.99991 0.00260 for L= 23, J= 23.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.075 0.003 deg. for the L = 23, J = 23.5 channel. + 23.5 0.99990783 0.00260051i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5-/23 @ 1 = 0.029 , Out: 0.000# + + + Total SPIN, PARITY = 24.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.9 11.5 + S-matrix 1 = 0.99996 0.00132 for L= 24, J= 24.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.038 0.001 deg. for the L = 24, J = 24.5 channel. + 24.5 0.99996230 0.00131889i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5+/24 @ 1 = 0.012 , Out: 0.000# + + + Total SPIN, PARITY = 24.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.9 11.5 + S-matrix 1 = 0.99998 0.00067 for L= 25, J= 24.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.019 0.000 deg. for the L = 25, J = 24.5 channel. + 24.5 0.99998449 0.00066845i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5-/25 @ 1 = 5.149/, Out: 0.000# + + + Total SPIN, PARITY = 25.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.0 12.0 + S-matrix 1 = 0.99999 0.00034 for L= 26, J= 25.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.010 0.000 deg. for the L = 26, J = 25.5 channel. + 25.5 0.99999360 0.00033858i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5+/26 @ 1 = 2.223/, Out: 0.000# + + + Total SPIN, PARITY = 25.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.0 12.0 + S-matrix 1 = 0.99998 0.00067 for L= 25, J= 25.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.019 0.000 deg. for the L = 25, J = 25.5 channel. + 25.5 0.99998449 0.00066845i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5-/25 @ 1 = 5.355/, Out: 0.000# + + + Total SPIN, PARITY = 26.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 12.5 + S-matrix 1 = 0.99999 0.00034 for L= 26, J= 26.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.010 0.000 deg. for the L = 26, J = 26.5 channel. + 26.5 0.99999360 0.00033858i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5+/26 @ 1 = 2.309/, Out: 0.000# + + + Total SPIN, PARITY = 26.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 12.5 + S-matrix 1 = 1.00000 0.00017 for L= 27, J= 26.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.005 0.000 deg. for the L = 27, J = 26.5 channel. + 26.5 0.99999735 0.00017141i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5-/27 @ 1 = 0.959/, Out: 0.000# + + + Total SPIN, PARITY = 27.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 12.9 + S-matrix 1 = 1.00000 0.00009 for L= 28, J= 27.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 28, J = 27.5 channel. + 27.5 0.99999890 0.00008673i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5+/28 @ 1 = 0.413/, Out: 0.000# + + + Total SPIN, PARITY = 27.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 12.9 + S-matrix 1 = 1.00000 0.00017 for L= 27, J= 27.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.005 0.000 deg. for the L = 27, J = 27.5 channel. + 27.5 0.99999735 0.00017141i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5-/27 @ 1 = 0.994/, Out: 0.000# + + + Total SPIN, PARITY = 28.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.2 13.4 + S-matrix 1 = 1.00000 0.00009 for L= 28, J= 28.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 28, J = 28.5 channel. + 28.5 0.99999890 0.00008673i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5+/28 @ 1 = 0.427/, Out: 0.000# + + + Total SPIN, PARITY = 28.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.2 13.4 + S-matrix 1 = 1.00000 0.00004 for L= 29, J= 28.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 29, J = 28.5 channel. + 28.5 0.99999955 0.00004387i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5-/29 @ 1 = 0.177/, Out: 0.000# + + + Total SPIN, PARITY = 29.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.3 13.9 + S-matrix 1 = 1.00000 0.00002 for L= 30, J= 29.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 30, J = 29.5 channel. + 29.5 0.99999981 0.00002219i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5+/30 @ 1 = 0.076/, Out: 0.000# + + + Total SPIN, PARITY = 29.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.3 13.9 + S-matrix 1 = 1.00000 0.00004 for L= 29, J= 29.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 29, J = 29.5 channel. + 29.5 0.99999955 0.00004387i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5-/29 @ 1 = 0.183/, Out: 0.000# + + + Total SPIN, PARITY = 30.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.4 14.3 + S-matrix 1 = 1.00000 0.00002 for L= 30, J= 30.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 30, J = 30.5 channel. + 30.5 0.99999981 0.00002219i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5+/30 @ 1 = 0.079/, Out: 0.000# + + + Total SPIN, PARITY = 30.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.4 14.3 + S-matrix 1 = 1.00000 0.00001 for L= 31, J= 30.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 31, J = 30.5 channel. + 30.5 0.99999992 0.00001123i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5-/31 @ 1 = 0.033/, Out: 0.000# + + + Total SPIN, PARITY = 31.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.5 14.8 + S-matrix 1 = 1.00000 0.00001 for L= 32, J= 31.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 32, J = 31.5 channel. + 31.5 0.99999997 0.00000569i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5+/32 @ 1 = 0.014/, Out: 0.000# + + + Total SPIN, PARITY = 31.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.5 14.8 + S-matrix 1 = 1.00000 0.00001 for L= 31, J= 31.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 31, J = 31.5 channel. + 31.5 0.99999992 0.00001123i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5-/31 @ 1 = 0.034/, Out: 0.000# + + + Total SPIN, PARITY = 32.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 15.3 + S-matrix 1 = 1.00000 0.00001 for L= 32, J= 32.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 32, J = 32.5 channel. + 32.5 0.99999997 0.00000569i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5+/32 @ 1 = 0.014/, Out: 0.000# + + + Total SPIN, PARITY = 32.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 15.3 + S-matrix 1 = 1.00000 0.00000 for L= 33, J= 32.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 33, J = 32.5 channel. + 32.5 0.99999999 0.00000289i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5-/33 @ 1 = 5.952#, Out: 0.000# + + + Total SPIN, PARITY = 33.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 15.7 + S-matrix 1 = 1.00000 0.00000 for L= 34, J= 33.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 34, J = 33.5 channel. + 33.5 0.99999999 0.00000147i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5+/34 @ 1 = 2.539#, Out: 0.000# + + + Total SPIN, PARITY = 33.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 15.7 + S-matrix 1 = 1.00000 0.00000 for L= 33, J= 33.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 33, J = 33.5 channel. + 33.5 0.99999999 0.00000289i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5-/33 @ 1 = 6.133#, Out: 0.000# + + + Total SPIN, PARITY = 34.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.7 16.2 + S-matrix 1 = 1.00000 0.00000 for L= 34, J= 34.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 34, J = 34.5 channel. + 34.5 0.99999999 0.00000147i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5+/34 @ 1 = 2.614#, Out: 0.000# + + + Total SPIN, PARITY = 34.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.7 16.2 + S-matrix 1 = 1.00000 0.00000 for L= 35, J= 34.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 35, J = 34.5 channel. + 34.5 1.00000000 0.00000076i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5-/35 @ 1 = 1.082#, Out: 0.000# + + + Total SPIN, PARITY = 35.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.8 16.6 + S-matrix 1 = 1.00000 0.00000 for L= 36, J= 35.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 36, J = 35.5 channel. + 35.5 1.00000000 0.00000040i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5+/36 @ 1 = 0.460#, Out: 0.000# + + + Total SPIN, PARITY = 35.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.8 16.6 + S-matrix 1 = 1.00000 0.00000 for L= 35, J= 35.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 35, J = 35.5 channel. + 35.5 1.00000000 0.00000076i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5-/35 @ 1 = 1.113#, Out: 0.000# + + + Total SPIN, PARITY = 36.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.9 17.1 + S-matrix 1 = 1.00000 0.00000 for L= 36, J= 36.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 36, J = 36.5 channel. + 36.5 1.00000000 0.00000040i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5+/36 @ 1 = 0.473#, Out: 0.000# + + + Total SPIN, PARITY = 36.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.9 17.1 + S-matrix 1 = 1.00000 0.00000 for L= 37, J= 36.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 37, J = 36.5 channel. + 36.5 1.00000000 0.00000022i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5-/37 @ 1 = 0.196#, Out: 0.000# + + + Total SPIN, PARITY = 37.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 17.6 + S-matrix 1 = 1.00000 0.00000 for L= 38, J= 37.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 38, J = 37.5 channel. + 37.5 1.00000000 0.00000012i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5+/38 @ 1 = 0.083#, Out: 0.000# + + + Total SPIN, PARITY = 37.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 17.6 + S-matrix 1 = 1.00000 0.00000 for L= 37, J= 37.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 37, J = 37.5 channel. + 37.5 1.00000000 0.00000022i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5-/37 @ 1 = 0.201#, Out: 0.000# + + + Total SPIN, PARITY = 38.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 18.0 + S-matrix 1 = 1.00000 0.00000 for L= 38, J= 38.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 38, J = 38.5 channel. + 38.5 1.00000000 0.00000012i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5+/38 @ 1 = 0.085#, Out: 0.000# + + + Total SPIN, PARITY = 38.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 18.0 + S-matrix 1 = 1.00000 0.00000 for L= 39, J= 38.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 39, J = 38.5 channel. + 38.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5-/39 @ 1 = 0.035#, Out: 0.000# + + + Total SPIN, PARITY = 39.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.1 18.5 + S-matrix 1 = 1.00000 0.00000 for L= 40, J= 39.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 40, J = 39.5 channel. + 39.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5+/40 @ 1 = 0.015#, Out: 0.000# + + + Total SPIN, PARITY = 39.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.1 18.5 + S-matrix 1 = 1.00000 0.00000 for L= 39, J= 39.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 39, J = 39.5 channel. + 39.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5-/39 @ 1 = 0.036#, Out: 0.000# + + + Total SPIN, PARITY = 40.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 19.0 + S-matrix 1 = 1.00000 0.00000 for L= 40, J= 40.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 40, J = 40.5 channel. + 40.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5+/40 @ 1 = 0.015#, Out: 0.000# + + + Total SPIN, PARITY = 40.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 19.0 + S-matrix 1 = 1.00000 0.00000 for L= 41, J= 40.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 41, J = 40.5 channel. + 40.5 1.00000000 0.00000004i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5-/41 @ 1 = 0.006#, Out: 0.000# + + + Total SPIN, PARITY = 41.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 19.4 + S-matrix 1 = 1.00000 0.00000 for L= 42, J= 41.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 42, J = 41.5 channel. + 41.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5+/42 @ 1 = 0.003#, Out: 0.000# + + + Total SPIN, PARITY = 41.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 19.4 + S-matrix 1 = 1.00000 0.00000 for L= 41, J= 41.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 41, J = 41.5 channel. + 41.5 1.00000000 0.00000004i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5-/41 @ 1 = 0.006#, Out: 0.000# + + + Total SPIN, PARITY = 42.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 19.9 + S-matrix 1 = 1.00000 0.00000 for L= 42, J= 42.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 42, J = 42.5 channel. + 42.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5+/42 @ 1 = 0.003#, Out: 0.000# + + + Total SPIN, PARITY = 42.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.4 19.9 + S-matrix 1 = 1.00000 0.00000 for L= 43, J= 42.5 channel on core I = 0.0 from L= 43, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 43, J = 42.5 channel. + 42.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5-/43 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 43.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 20.3 + S-matrix 1 = 1.00000 0.00000 for L= 44, J= 43.5 channel on core I = 0.0 from L= 44, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 44, J = 43.5 channel. + 43.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 43.5+/44 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 43.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.4 20.3 + S-matrix 1 = 1.00000 0.00000 for L= 43, J= 43.5 channel on core I = 0.0 from L= 43, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 43, J = 43.5 channel. + 43.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 43.5-/43 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 44.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.5 20.8 + S-matrix 1 = 1.00000 0.00000 for L= 44, J= 44.5 channel on core I = 0.0 from L= 44, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 44, J = 44.5 channel. + 44.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 44.5+/44 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 44.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.5 20.8 + S-matrix 1 = 1.00000 0.00000 for L= 45, J= 44.5 channel on core I = 0.0 from L= 45, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 45, J = 44.5 channel. + 44.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 44.5-/45 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 45.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.6 21.3 + S-matrix 1 = 1.00000 0.00000 for L= 46, J= 45.5 channel on core I = 0.0 from L= 46, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 46, J = 45.5 channel. + 45.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 45.5+/46 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 45.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.6 21.3 + S-matrix 1 = 1.00000 0.00000 for L= 45, J= 45.5 channel on core I = 0.0 from L= 45, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 45, J = 45.5 channel. + 45.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 45.5-/45 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 46.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.7 21.7 + S-matrix 1 = 1.00000 0.00000 for L= 46, J= 46.5 channel on core I = 0.0 from L= 46, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 46, J = 46.5 channel. + 46.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 46.5+/46 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 46.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.7 21.7 + S-matrix 1 = 1.00000 0.00000 for L= 47, J= 46.5 channel on core I = 0.0 from L= 47, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 47, J = 46.5 channel. + 46.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 46.5-/47 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 47.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.8 22.2 + S-matrix 1 = 1.00000 0.00000 for L= 48, J= 47.5 channel on core I = 0.0 from L= 48, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 48, J = 47.5 channel. + 47.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 47.5+/48 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 47.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.8 22.2 + S-matrix 1 = 1.00000 0.00000 for L= 47, J= 47.5 channel on core I = 0.0 from L= 47, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 47, J = 47.5 channel. + 47.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 47.5-/47 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 48.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.8 22.7 + S-matrix 1 = 1.00000 0.00000 for L= 48, J= 48.5 channel on core I = 0.0 from L= 48, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 48, J = 48.5 channel. + 48.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 48.5+/48 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 48.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.8 22.7 + S-matrix 1 = 1.00000 0.00000 for L= 49, J= 48.5 channel on core I = 0.0 from L= 49, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 49, J = 48.5 channel. + 48.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 48.5-/49 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 49.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.9 23.1 + S-matrix 1 = 1.00000 0.00000 for L= 50, J= 49.5 channel on core I = 0.0 from L= 50, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 50, J = 49.5 channel. + 49.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 49.5+/50 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 49.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.9 23.1 + S-matrix 1 = 1.00000 0.00000 for L= 49, J= 49.5 channel on core I = 0.0 from L= 49, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 49, J = 49.5 channel. + 49.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 49.5-/49 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 50.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.0 23.6 + S-matrix 1 = 1.00000 0.00000 for L= 50, J= 50.5 channel on core I = 0.0 from L= 50, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 50, J = 50.5 channel. + 50.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 50.5+/50 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 50.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.0 23.6 + S-matrix 1 = 1.00000 0.00000 for L= 51, J= 50.5 channel on core I = 0.0 from L= 51, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 51, J = 50.5 channel. + 50.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 50.5-/51 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 51.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.0 24.1 + S-matrix 1 = 1.00000 0.00000 for L= 52, J= 51.5 channel on core I = 0.0 from L= 52, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 52, J = 51.5 channel. + 51.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 51.5+/52 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 51.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.0 24.1 + S-matrix 1 = 1.00000 0.00000 for L= 51, J= 51.5 channel on core I = 0.0 from L= 51, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 51, J = 51.5 channel. + 51.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 51.5-/51 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 52.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.2 24.5 + S-matrix 1 = 1.00000 0.00000 for L= 52, J= 52.5 channel on core I = 0.0 from L= 52, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 52, J = 52.5 channel. + 52.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 52.5+/52 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 52.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.2 24.5 + S-matrix 1 = 1.00000 0.00000 for L= 53, J= 52.5 channel on core I = 0.0 from L= 53, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 53, J = 52.5 channel. + 52.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 52.5-/53 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 53.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.2 25.0 + S-matrix 1 = 1.00000 0.00000 for L= 54, J= 53.5 channel on core I = 0.0 from L= 54, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 54, J = 53.5 channel. + 53.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 53.5+/54 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 53.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.2 25.0 + S-matrix 1 = 1.00000 0.00000 for L= 53, J= 53.5 channel on core I = 0.0 from L= 53, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 53, J = 53.5 channel. + 53.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 53.5-/53 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 54.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.3 25.4 + S-matrix 1 = 1.00000 0.00000 for L= 54, J= 54.5 channel on core I = 0.0 from L= 54, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 54, J = 54.5 channel. + 54.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 54.5+/54 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 54.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.3 25.4 + S-matrix 1 = 1.00000 0.00000 for L= 55, J= 54.5 channel on core I = 0.0 from L= 55, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 55, J = 54.5 channel. + 54.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 54.5-/55 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 55.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.4 25.9 + S-matrix 1 = 1.00000 0.00000 for L= 56, J= 55.5 channel on core I = 0.0 from L= 56, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 56, J = 55.5 channel. + 55.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 55.5+/56 @ 1 = -0.000#, Out: 0.000# + + Finished all CC sets @ 4.55610007E-02 +0CUMULATIVE REACTION cross section = 1291.79214 = 9.53 = 105.1 +0CUMULATIVE ELASTIC cross section = 0.00000 +0CUMULATIVE outgoing cross sections in partition 1 : 0.00000 +0Cumulative ABSORBTION by Imaginary Potentials = 1291.79214 = 9.53 = 105.1 + Fusion for specific p M-states : 1668.987129 1668.987129 +0CUMULATIVE OUTGOING cross section = 0.00000 + Strength functions * 10^4 for L=0-2 = 0.14625 0.14709 1.46107 (with r0= 1.35 fm). R' = -0.194 fm + To convert to S-factors (MeV.mb = keV.b), multiply by 1.5767E+03 + + + CROSS SECTIONS FOR OUTGOING p & Ni78 in state # 1 with spins & parities 0.5 + & 0.0 +; 0 + + 0.01 deg.: X-S = 1.797120E+15 mb/sr, ++ /R = 1.000003E+00 + 1.00 deg.: X-S = 1.639106E+07 mb/sr, ++ /R = 9.120309E-01 + 2.00 deg.: X-S = 7.740292E+05 mb/sr, ++ /R = 6.889911E-01 + 3.00 deg.: X-S = 1.229975E+05 mb/sr, ++ /R = 5.541243E-01 + 4.00 deg.: X-S = 4.711844E+04 mb/sr, ++ /R = 6.706601E-01 + 5.00 deg.: X-S = 3.157220E+04 mb/sr, ++ /R = 1.096625E+00 + 6.00 deg.: X-S = 2.457112E+04 mb/sr, ++ /R = 1.768726E+00 + 7.00 deg.: X-S = 1.890068E+04 mb/sr, ++ /R = 2.518915E+00 + 8.00 deg.: X-S = 1.376393E+04 mb/sr, ++ /R = 3.126910E+00 + 9.00 deg.: X-S = 9339.432613 mb/sr, ++ /R = 3.395695E+00 + 10.00 deg.: X-S = 5826.464113 mb/sr, ++ /R = 3.225701E+00 + 11.00 deg.: X-S = 3286.834988 mb/sr, ++ /R = 2.661365E+00 + 12.00 deg.: X-S = 1651.538962 mb/sr, ++ /R = 1.891743E+00 + 13.00 deg.: X-S = 762.886207 mb/sr, ++ /R = 1.202070E+00 + 14.00 deg.: X-S = 420.498704 mb/sr, ++ /R = 8.899744E-01 + 15.00 deg.: X-S = 421.002640 mb/sr, ++ /R = 1.172494E+00 + 16.00 deg.: X-S = 587.199047 mb/sr, ++ /R = 2.113691E+00 + 17.00 deg.: X-S = 785.274092 mb/sr, ++ /R = 3.596372E+00 + 18.00 deg.: X-S = 930.637940 mb/sr, ++ /R = 5.347435E+00 + 19.00 deg.: X-S = 984.510503 mb/sr, ++ /R = 7.009584E+00 + 20.00 deg.: X-S = 944.287559 mb/sr, ++ /R = 8.237969E+00 + 21.00 deg.: X-S = 830.963333 mb/sr, ++ /R = 8.793242E+00 + 22.00 deg.: X-S = 676.532164 mb/sr, ++ /R = 8.604365E+00 + 23.00 deg.: X-S = 513.523886 mb/sr, ++ /R = 7.784252E+00 + 24.00 deg.: X-S = 367.873756 mb/sr, ++ /R = 6.595526E+00 + 25.00 deg.: X-S = 255.404526 mb/sr, ++ /R = 5.377873E+00 + 26.00 deg.: X-S = 181.467834 mb/sr, ++ /R = 4.458479E+00 + 27.00 deg.: X-S = 142.841378 mb/sr, ++ /R = 4.070334E+00 + 28.00 deg.: X-S = 130.819000 mb/sr, ++ /R = 4.299387E+00 + 29.00 deg.: X-S = 134.515770 mb/sr, ++ /R = 5.072321E+00 + 30.00 deg.: X-S = 143.657134 mb/sr, ++ /R = 6.185105E+00 + 31.00 deg.: X-S = 150.438398 mb/sr, ++ /R = 7.361884E+00 + 32.00 deg.: X-S = 150.347507 mb/sr, ++ /R = 8.326903E+00 + 33.00 deg.: X-S = 142.083359 mb/sr, ++ /R = 8.870445E+00 + 34.00 deg.: X-S = 126.846059 mb/sr, ++ /R = 8.893103E+00 + 35.00 deg.: X-S = 107.322947 mb/sr, ++ /R = 8.419664E+00 + 36.00 deg.: X-S = 86.663250 mb/sr, ++ /R = 7.582273E+00 + 37.00 deg.: X-S = 67.653108 mb/sr, ++ /R = 6.580040E+00 + 38.00 deg.: X-S = 52.202163 mb/sr, ++ /R = 5.627184E+00 + 39.00 deg.: X-S = 41.158362 mb/sr, ++ /R = 4.903138E+00 + 40.00 deg.: X-S = 34.396479 mb/sr, ++ /R = 4.516018E+00 + 41.00 deg.: X-S = 31.085717 mb/sr, ++ /R = 4.486390E+00 + 42.00 deg.: X-S = 30.031888 mb/sr, ++ /R = 4.752633E+00 + 43.00 deg.: X-S = 30.003684 mb/sr, ++ /R = 5.194112E+00 + 44.00 deg.: X-S = 29.980768 mb/sr, ++ /R = 5.664733E+00 + 45.00 deg.: X-S = 29.294339 mb/sr, ++ /R = 6.028057E+00 + 46.00 deg.: X-S = 27.660549 mb/sr, ++ /R = 6.185970E+00 + 47.00 deg.: X-S = 25.128576 mb/sr, ++ /R = 6.095391E+00 + 48.00 deg.: X-S = 21.976406 mb/sr, ++ /R = 5.770917E+00 + 49.00 deg.: X-S = 18.588913 mb/sr, ++ /R = 5.274688E+00 + 50.00 deg.: X-S = 15.347149 mb/sr, ++ /R = 4.697380E+00 + 51.00 deg.: X-S = 12.547781 mb/sr, ++ /R = 4.135607E+00 + 52.00 deg.: X-S = 10.360678 mb/sr, ++ /R = 3.671056E+00 + 53.00 deg.: X-S = 8.823011 mb/sr, ++ /R = 3.355533E+00 + 54.00 deg.: X-S = 7.861498 mb/sr, ++ /R = 3.204257E+00 + 55.00 deg.: X-S = 7.331126 mb/sr, ++ /R = 3.197629E+00 + 56.00 deg.: X-S = 7.058516 mb/sr, ++ /R = 3.289922E+00 + 57.00 deg.: X-S = 6.880278 mb/sr, ++ /R = 3.422099E+00 + 58.00 deg.: X-S = 6.670160 mb/sr, ++ /R = 3.535543E+00 + 59.00 deg.: X-S = 6.352563 mb/sr, ++ /R = 3.583763E+00 + 60.00 deg.: X-S = 5.903222 mb/sr, ++ /R = 3.540007E+00 + 61.00 deg.: X-S = 5.340119 mb/sr, ++ /R = 3.399863E+00 + 62.00 deg.: X-S = 4.708741 mb/sr, ++ /R = 3.179049E+00 + 63.00 deg.: X-S = 4.065867 mb/sr, ++ /R = 2.907559E+00 + 64.00 deg.: X-S = 3.465264 mb/sr, ++ /R = 2.621864E+00 + 65.00 deg.: X-S = 2.947499 mb/sr, ++ /R = 2.356973E+00 + 66.00 deg.: X-S = 2.534721 mb/sr, ++ /R = 2.139933E+00 + 67.00 deg.: X-S = 2.230187 mb/sr, ++ /R = 1.985794E+00 + 68.00 deg.: X-S = 2.021434 mb/sr, ++ /R = 1.896449E+00 + 69.00 deg.: X-S = 1.885653 mb/sr, ++ /R = 1.862125E+00 + 70.00 deg.: X-S = 1.795740 mb/sr, ++ /R = 1.864848E+00 + 71.00 deg.: X-S = 1.725763 mb/sr, ++ /R = 1.882922E+00 + 72.00 deg.: X-S = 1.655003 mb/sr, ++ /R = 1.895433E+00 + 73.00 deg.: X-S = 1.570159 mb/sr, ++ /R = 1.885945E+00 + 74.00 deg.: X-S = 1.465782 mb/sr, ++ /R = 1.844831E+00 + 75.00 deg.: X-S = 1.343241 mb/sr, ++ /R = 1.770017E+00 + 76.00 deg.: X-S = 1.208764 mb/sr, ++ /R = 1.666266E+00 + 77.00 deg.: X-S = 1.071092 mb/sr, ++ /R = 1.543334E+00 + 78.00 deg.: X-S = 0.939249 mb/sr, ++ /R = 1.413523E+00 + 79.00 deg.: X-S = 0.820777 mb/sr, ++ /R = 1.289146E+00 + 80.00 deg.: X-S = 0.720628 mb/sr, ++ /R = 1.180364E+00 + 81.00 deg.: X-S = 0.640758 mb/sr, ++ /R = 1.093721E+00 + 82.00 deg.: X-S = 0.580324 mb/sr, ++ /R = 1.031519E+00 + 83.00 deg.: X-S = 0.536319 mb/sr, ++ /R = 9.920113E-01 + 84.00 deg.: X-S = 0.504438 mb/sr, ++ /R = 9.702562E-01 + 85.00 deg.: X-S = 0.479981 mb/sr, ++ /R = 9.593841E-01 + 86.00 deg.: X-S = 0.458637 mb/sr, ++ /R = 9.520007E-01 + 87.00 deg.: X-S = 0.437043 mb/sr, ++ /R = 9.414729E-01 + 88.00 deg.: X-S = 0.413080 mb/sr, ++ /R = 9.229002E-01 + 89.00 deg.: X-S = 0.385914 mb/sr, ++ /R = 8.936610E-01 + 90.00 deg.: X-S = 0.355822 mb/sr, ++ /R = 8.535073E-01 + 91.00 deg.: X-S = 0.323888 mb/sr, ++ /R = 8.042624E-01 + 92.00 deg.: X-S = 0.291637 mb/sr, ++ /R = 7.492280E-01 + 93.00 deg.: X-S = 0.260675 mb/sr, ++ /R = 6.924408E-01 + 94.00 deg.: X-S = 0.232392 mb/sr, ++ /R = 6.379188E-01 + 95.00 deg.: X-S = 0.207764 mb/sr, ++ /R = 5.890191E-01 + 96.00 deg.: X-S = 0.187260 mb/sr, ++ /R = 5.479924E-01 + 97.00 deg.: X-S = 0.170844 mb/sr, ++ /R = 5.157745E-01 + 98.00 deg.: X-S = 0.158061 mb/sr, ++ /R = 4.920147E-01 + 99.00 deg.: X-S = 0.148167 mb/sr, ++ /R = 4.753006E-01 + 100.00 deg.: X-S = 0.140286 mb/sr, ++ /R = 4.635168E-01 + 101.00 deg.: X-S = 0.133551 mb/sr, ++ /R = 4.542606E-01 + 102.00 deg.: X-S = 0.127219 mb/sr, ++ /R = 4.452428E-01 + 103.00 deg.: X-S = 0.120751 mb/sr, ++ /R = 4.346117E-01 + 104.00 deg.: X-S = 0.113838 mb/sr, ++ /R = 4.211630E-01 + 105.00 deg.: X-S = 0.106397 mb/sr, ++ /R = 4.044176E-01 + 106.00 deg.: X-S = 0.098526 mb/sr, ++ /R = 3.845762E-01 + 107.00 deg.: X-S = 0.090451 mb/sr, ++ /R = 3.623777E-01 + 108.00 deg.: X-S = 0.082452 mb/sr, ++ /R = 3.388971E-01 + 109.00 deg.: X-S = 0.074814 mb/sr, ++ /R = 3.153271E-01 + 110.00 deg.: X-S = 0.067772 mb/sr, ++ /R = 2.927798E-01 + 111.00 deg.: X-S = 0.061486 mb/sr, ++ /R = 2.721372E-01 + 112.00 deg.: X-S = 0.056033 mb/sr, ++ /R = 2.539651E-01 + 113.00 deg.: X-S = 0.051406 mb/sr, ++ /R = 2.384930E-01 + 114.00 deg.: X-S = 0.047537 mb/sr, ++ /R = 2.256483E-01 + 115.00 deg.: X-S = 0.044314 mb/sr, ++ /R = 2.151280E-01 + 116.00 deg.: X-S = 0.041608 mb/sr, ++ /R = 2.064858E-01 + 117.00 deg.: X-S = 0.039285 mb/sr, ++ /R = 1.992153E-01 + 118.00 deg.: X-S = 0.037226 mb/sr, ++ /R = 1.928160E-01 + 119.00 deg.: X-S = 0.035330 mb/sr, ++ /R = 1.868366E-01 + 120.00 deg.: X-S = 0.033517 mb/sr, ++ /R = 1.808949E-01 + 121.00 deg.: X-S = 0.031727 mb/sr, ++ /R = 1.746831E-01 + 122.00 deg.: X-S = 0.029916 mb/sr, ++ /R = 1.679660E-01 + 123.00 deg.: X-S = 0.028059 mb/sr, ++ /R = 1.605812E-01 + 124.00 deg.: X-S = 0.026142 mb/sr, ++ /R = 1.524467E-01 + 125.00 deg.: X-S = 0.024173 mb/sr, ++ /R = 1.435745E-01 + 126.00 deg.: X-S = 0.022173 mb/sr, ++ /R = 1.340857E-01 + 127.00 deg.: X-S = 0.020183 mb/sr, ++ /R = 1.242179E-01 + 128.00 deg.: X-S = 0.018257 mb/sr, ++ /R = 1.143164E-01 + 129.00 deg.: X-S = 0.016459 mb/sr, ++ /R = 1.048042E-01 + 130.00 deg.: X-S = 0.014850 mb/sr, ++ /R = 9.612805E-02 + 131.00 deg.: X-S = 0.013482 mb/sr, ++ /R = 8.869006E-02 + 132.00 deg.: X-S = 0.012386 mb/sr, ++ /R = 8.277304E-02 + 133.00 deg.: X-S = 0.011564 mb/sr, ++ /R = 7.847802E-02 + 134.00 deg.: X-S = 0.010987 mb/sr, ++ /R = 7.568875E-02 + 135.00 deg.: X-S = 0.010597 mb/sr, ++ /R = 7.407510E-02 + 136.00 deg.: X-S = 0.010315 mb/sr, ++ /R = 7.313944E-02 + 137.00 deg.: X-S = 0.010055 mb/sr, ++ /R = 7.230036E-02 + 138.00 deg.: X-S = 0.009741 mb/sr, ++ /R = 7.099908E-02 + 139.00 deg.: X-S = 0.009316 mb/sr, ++ /R = 6.880755E-02 + 140.00 deg.: X-S = 0.008757 mb/sr, ++ /R = 6.551485E-02 + 141.00 deg.: X-S = 0.008075 mb/sr, ++ /R = 6.117167E-02 + 142.00 deg.: X-S = 0.007313 mb/sr, ++ /R = 5.608029E-02 + 143.00 deg.: X-S = 0.006537 mb/sr, ++ /R = 5.072968E-02 + 144.00 deg.: X-S = 0.005820 mb/sr, ++ /R = 4.568759E-02 + 145.00 deg.: X-S = 0.005225 mb/sr, ++ /R = 4.147231E-02 + 146.00 deg.: X-S = 0.004789 mb/sr, ++ /R = 3.843275E-02 + 147.00 deg.: X-S = 0.004521 mb/sr, ++ /R = 3.666462E-02 + 148.00 deg.: X-S = 0.004392 mb/sr, ++ /R = 3.598398E-02 + 149.00 deg.: X-S = 0.004347 mb/sr, ++ /R = 3.596696E-02 + 150.00 deg.: X-S = 0.004316 mb/sr, ++ /R = 3.604927E-02 + 151.00 deg.: X-S = 0.004231 mb/sr, ++ /R = 3.566460E-02 + 152.00 deg.: X-S = 0.004044 mb/sr, ++ /R = 3.439041E-02 + 153.00 deg.: X-S = 0.003738 mb/sr, ++ /R = 3.206587E-02 + 154.00 deg.: X-S = 0.003336 mb/sr, ++ /R = 2.885160E-02 + 155.00 deg.: X-S = 0.002892 mb/sr, ++ /R = 2.521254E-02 + 156.00 deg.: X-S = 0.002485 mb/sr, ++ /R = 2.182266E-02 + 157.00 deg.: X-S = 0.002194 mb/sr, ++ /R = 1.940860E-02 + 158.00 deg.: X-S = 0.002084 mb/sr, ++ /R = 1.856564E-02 + 159.00 deg.: X-S = 0.002184 mb/sr, ++ /R = 1.958814E-02 + 160.00 deg.: X-S = 0.002477 mb/sr, ++ /R = 2.235725E-02 + 161.00 deg.: X-S = 0.002899 mb/sr, ++ /R = 2.631797E-02 + 162.00 deg.: X-S = 0.003347 mb/sr, ++ /R = 3.055988E-02 + 163.00 deg.: X-S = 0.003703 mb/sr, ++ /R = 3.399295E-02 + 164.00 deg.: X-S = 0.003857 mb/sr, ++ /R = 3.558701E-02 + 165.00 deg.: X-S = 0.003735 mb/sr, ++ /R = 3.462706E-02 + 166.00 deg.: X-S = 0.003321 mb/sr, ++ /R = 3.092809E-02 + 167.00 deg.: X-S = 0.002669 mb/sr, ++ /R = 2.495776E-02 + 168.00 deg.: X-S = 0.001900 mb/sr, ++ /R = 1.783079E-02 + 169.00 deg.: X-S = 0.001185 mb/sr, ++ /R = 1.116396E-02 + 170.00 deg.: X-S = 0.000721 mb/sr, ++ /R = 6.809485E-03 + 171.00 deg.: X-S = 0.000687 mb/sr, ++ /R = 6.511281E-03 + 172.00 deg.: X-S = 0.001215 mb/sr, ++ /R = 1.154786E-02 + 173.00 deg.: X-S = 0.002355 mb/sr, ++ /R = 2.243225E-02 + 174.00 deg.: X-S = 0.004059 mb/sr, ++ /R = 3.873226E-02 + 175.00 deg.: X-S = 0.006178 mb/sr, ++ /R = 5.905407E-02 + 176.00 deg.: X-S = 0.008484 mb/sr, ++ /R = 8.120168E-02 + 177.00 deg.: X-S = 0.010697 mb/sr, ++ /R = 1.024913E-01 + 178.00 deg.: X-S = 0.012532 mb/sr, ++ /R = 1.201683E-01 + 179.00 deg.: X-S = 0.013744 mb/sr, ++ /R = 1.318535E-01 + 179.99 deg.: X-S = 0.014168 mb/sr, ++ /R = 1.359376E-01 + Integrated 3.4396E+10 mb, over [ 0.000, 180.000] at 100.0000 MeV + Finished all xsecs @ 4.81619984E-02 +1*********************************************************************************************************************************** +************************************************************************************************************************************ + + INCOMING p ; LABORATORY p ENERGY = 200.00 MeV. + + *********************************************************************************************************************************** + *********************************************************************************************************************************** + + + NOTE: Coulomb excitation cut off below 0.223 deg by JTMAX, and below 0.195 deg by Rmax + + Allocate arrays for 1 channels, of which 1 need wfs. + + ######################################################################################################################### + # # + # Total SPIN and PARITY = 0.5 +, 1 channels, 0 in 1st block. Rmin & Coul turning = 0.0 2.042E-01 fm. # + # # + ######################################################################################################################### + + + + C Projectl Target # EX. (L Proj) J + Targ = Jtotal E-cm Re K Re Eta RM*K CH G-REL + 1 p Ni78 # 1: I 0 0.5 0.5 0.0 0.5 197.46835 3.05422 0.31181 183.2535 0.41221 0.28374 1 1 1 1 1.00000 + S-matrix 1 = 0.31191 -0.25058 for L= 0, J= 0.5 channel on core I = 0.0 from L= 0, Acc. loss = 0.0 D. + Elastic phase shift 1 = -19.389 26.243 deg. for the L = 0, J = 0.5 channel. + 0.5 0.31190954 -0.25057930i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5+/ 0 @ 1 = 2.829 , Out: 0.000# + + + Total SPIN, PARITY = 0.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.0 0.2 + S-matrix 1 = 0.11160 -0.38511 for L= 1, J= 0.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = -36.920 26.181 deg. for the L = 1, J = 0.5 channel. + 0.5 0.11159856 -0.38511283i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5-/ 1 @ 1 = 2.826 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.6 + S-matrix 1 = -0.01735 -0.40231 for L= 2, J= 1.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = -46.234 26.058 deg. for the L = 2, J = 1.5 channel. + 1.5 -0.01734575 -0.40230657i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5+/ 2 @ 1 = 5.643 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.6 + S-matrix 1 = 0.11160 -0.38511 for L= 1, J= 1.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = -36.920 26.181 deg. for the L = 1, J = 1.5 channel. + 1.5 0.11159856 -0.38511283i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5-/ 1 @ 1 = 5.653 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 0.9 + S-matrix 1 = -0.01735 -0.40231 for L= 2, J= 2.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = -46.234 26.058 deg. for the L = 2, J = 2.5 channel. + 2.5 -0.01734575 -0.40230657i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5+/ 2 @ 1 = 8.465 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 0.9 + S-matrix 1 = -0.10944 -0.39025 for L= 3, J= 2.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = -52.833 25.873 deg. for the L = 3, J = 2.5 channel. + 2.5 -0.10944431 -0.39024602i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5-/ 3 @ 1 = 8.444 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.2 + S-matrix 1 = -0.18175 -0.36619 for L= 4, J= 3.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -58.199 25.626 deg. for the L = 4, J = 3.5 channel. + 3.5 -0.18175317 -0.36618764i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5+/ 4 @ 1 = 11.220 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.2 + S-matrix 1 = -0.10944 -0.39025 for L= 3, J= 3.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = -52.833 25.873 deg. for the L = 3, J = 3.5 channel. + 3.5 -0.10944431 -0.39024602i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5-/ 3 @ 1 = 11.258 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.3 1.6 + S-matrix 1 = -0.18175 -0.36619 for L= 4, J= 4.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -58.199 25.626 deg. for the L = 4, J = 4.5 channel. + 4.5 -0.18175317 -0.36618764i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5+/ 4 @ 1 = 14.025 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.3 1.6 + S-matrix 1 = -0.24205 -0.33505 for L= 5, J= 4.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -62.923 25.310 deg. for the L = 5, J = 4.5 channel. + 4.5 -0.24204892 -0.33505386i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5-/ 5 @ 1 = 13.962 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.4 1.9 + S-matrix 1 = -0.29429 -0.29804 for L= 6, J= 5.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -67.319 24.931 deg. for the L = 6, J = 5.5 channel. + 5.5 -0.29428682 -0.29803736i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5+/ 6 @ 1 = 16.662 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.4 1.9 + S-matrix 1 = -0.24205 -0.33505 for L= 5, J= 5.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -62.923 25.310 deg. for the L = 5, J = 5.5 channel. + 5.5 -0.24204892 -0.33505386i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5-/ 5 @ 1 = 16.755 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.5 2.2 + S-matrix 1 = -0.29429 -0.29804 for L= 6, J= 6.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -67.319 24.931 deg. for the L = 6, J = 6.5 channel. + 6.5 -0.29428682 -0.29803736i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5+/ 6 @ 1 = 19.439 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.5 2.2 + S-matrix 1 = -0.34051 -0.25513 for L= 7, J= 6.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -71.579 24.481 deg. for the L = 7, J = 6.5 channel. + 6.5 -0.34050693 -0.25512564i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5-/ 7 @ 1 = 19.307 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 2.6 + S-matrix 1 = -0.38143 -0.20569 for L= 8, J= 7.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -75.832 23.955 deg. for the L = 8, J = 7.5 channel. + 7.5 -0.38142796 -0.20569312i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5+/ 8 @ 1 = 21.883 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 2.6 + S-matrix 1 = -0.34051 -0.25513 for L= 7, J= 7.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -71.579 24.481 deg. for the L = 7, J = 7.5 channel. + 7.5 -0.34050693 -0.25512564i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5-/ 7 @ 1 = 22.065 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 2.9 + S-matrix 1 = -0.38143 -0.20569 for L= 8, J= 8.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -75.832 23.955 deg. for the L = 8, J = 8.5 channel. + 8.5 -0.38142796 -0.20569312i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5+/ 8 @ 1 = 24.618 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 2.9 + S-matrix 1 = -0.41677 -0.14861 for L= 9, J= 8.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -80.188 23.359 deg. for the L = 9, J = 8.5 channel. + 8.5 -0.41676731 -0.14860596i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5-/ 9 @ 1 = 24.376 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.7 3.2 + S-matrix 1 = -0.44558 -0.08271 for L= 10, J= 9.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = -84.742 22.673 deg. for the L = 10, J = 9.5 channel. + 9.5 -0.44558147 -0.08271402i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5+/10 @ 1 = 26.761 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.7 3.2 + S-matrix 1 = -0.41677 -0.14861 for L= 9, J= 9.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -80.188 23.359 deg. for the L = 9, J = 9.5 channel. + 9.5 -0.41676731 -0.14860596i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5-/ 9 @ 1 = 27.085 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.8 3.5 + S-matrix 1 = -0.44558 -0.08271 for L= 10, J= 10.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = -84.742 22.673 deg. for the L = 10, J = 10.5 channel. + 10.5 -0.44558147 -0.08271402i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5+/10 @ 1 = 29.437 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.8 3.5 + S-matrix 1 = -0.46562 -0.00687 for L= 11, J= 10.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = -89.577 21.895 deg. for the L = 11, J = 10.5 channel. + 10.5 -0.46561632 -0.00686878i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5-/11 @ 1 = 29.013 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.9 3.9 + S-matrix 1 = -0.47320 0.08005 for L= 12, J= 11.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 85.199 21.031 deg. for the L = 12, J = 11.5 channel. + 11.5 -0.47320112 0.08004868i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5+/12 @ 1 = 31.105 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.9 3.9 + S-matrix 1 = -0.46562 -0.00687 for L= 11, J= 11.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = -89.577 21.895 deg. for the L = 11, J = 11.5 channel. + 11.5 -0.46561632 -0.00686878i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5-/11 @ 1 = 31.650 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 4.2 + S-matrix 1 = -0.47320 0.08005 for L= 12, J= 12.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 85.199 21.031 deg. for the L = 12, J = 12.5 channel. + 12.5 -0.47320112 0.08004868i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5+/12 @ 1 = 33.697 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 4.2 + S-matrix 1 = -0.46367 0.17865 for L= 13, J= 12.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 79.464 20.036 deg. for the L = 13, J = 12.5 channel. + 12.5 -0.46367202 0.17864785i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5-/13 @ 1 = 32.972 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 4.5 + S-matrix 1 = -0.43018 0.28749 for L= 14, J= 13.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 73.123 18.877 deg. for the L = 14, J = 13.5 channel. + 13.5 -0.43017679 0.28748975i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5+/14 @ 1 = 34.527 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 4.5 + S-matrix 1 = -0.46367 0.17865 for L= 13, J= 13.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 79.464 20.036 deg. for the L = 13, J = 13.5 channel. + 13.5 -0.46367202 0.17864785i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5-/13 @ 1 = 35.508 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.1 4.8 + S-matrix 1 = -0.43018 0.28749 for L= 14, J= 14.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 73.123 18.877 deg. for the L = 14, J = 14.5 channel. + 14.5 -0.43017679 0.28748975i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5+/14 @ 1 = 36.994 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.1 4.8 + S-matrix 1 = -0.36283 0.40161 for L= 15, J= 14.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 66.048 17.587 deg. for the L = 15, J = 14.5 channel. + 14.5 -0.36283176 0.40160812i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5-/15 @ 1 = 35.719 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 5.2 + S-matrix 1 = -0.24991 0.51274 for L= 16, J= 15.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 57.993 16.083 deg. for the L = 16, J = 15.5 channel. + 15.5 -0.24991447 0.51273697i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5+/16 @ 1 = 36.353 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 5.2 + S-matrix 1 = -0.36283 0.40161 for L= 15, J= 15.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 66.048 17.587 deg. for the L = 15, J = 15.5 channel. + 15.5 -0.36283176 0.40160812i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5-/15 @ 1 = 38.100 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 5.5 + S-matrix 1 = -0.24991 0.51274 for L= 16, J= 16.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 57.993 16.083 deg. for the L = 16, J = 16.5 channel. + 16.5 -0.24991447 0.51273697i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5+/16 @ 1 = 38.625 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 5.5 + S-matrix 1 = -0.08035 0.60734 for L= 17, J= 16.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 48.768 14.037 deg. for the L = 17, J = 16.5 channel. + 16.5 -0.08035362 0.60734095i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5-/17 @ 1 = 35.765 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 5.8 + S-matrix 1 = 0.14712 0.66056 for L= 18, J= 17.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 38.722 11.186 deg. for the L = 18, J = 17.5 channel. + 17.5 0.14711679 0.66055770i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5+/18 @ 1 = 32.858 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 5.8 + S-matrix 1 = -0.08035 0.60734 for L= 17, J= 17.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 48.768 14.037 deg. for the L = 17, J = 17.5 channel. + 17.5 -0.08035362 0.60734095i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5-/17 @ 1 = 37.869 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 6.2 + S-matrix 1 = 0.14712 0.66056 for L= 18, J= 18.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 38.722 11.186 deg. for the L = 18, J = 18.5 channel. + 18.5 0.14711679 0.66055770i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5+/18 @ 1 = 34.683 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 6.2 + S-matrix 1 = 0.40551 0.64222 for L= 19, J= 18.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 28.865 7.880 deg. for the L = 19, J = 18.5 channel. + 18.5 0.40551229 0.64222330i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5-/19 @ 1 = 27.074 , Out: 0.000# + + + Total SPIN, PARITY = 19.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.5 6.5 + S-matrix 1 = 0.63944 0.54810 for L= 20, J= 19.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 20.301 4.920 deg. for the L = 20, J = 19.5 channel. + 19.5 0.63944423 0.54810394i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5+/20 @ 1 = 19.580 , Out: 0.000# + + + Total SPIN, PARITY = 19.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.5 6.5 + S-matrix 1 = 0.40551 0.64222 for L= 19, J= 19.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 28.865 7.880 deg. for the L = 19, J = 19.5 channel. + 19.5 0.40551229 0.64222330i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5-/19 @ 1 = 28.499 , Out: 0.000# + + + Total SPIN, PARITY = 20.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.6 6.8 + S-matrix 1 = 0.63944 0.54810 for L= 20, J= 20.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 20.301 4.920 deg. for the L = 20, J = 20.5 channel. + 20.5 0.63944423 0.54810394i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5+/20 @ 1 = 20.559 , Out: 0.000# + + + Total SPIN, PARITY = 20.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.6 6.8 + S-matrix 1 = 0.80589 0.41527 for L= 21, J= 20.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 13.631 2.809 deg. for the L = 21, J = 20.5 channel. + 20.5 0.80588896 0.41527179i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5-/21 @ 1 = 12.595 , Out: 0.000# + + + Total SPIN, PARITY = 21.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.7 7.1 + S-matrix 1 = 0.90324 0.28865 for L= 22, J= 21.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 8.861 1.523 deg. for the L = 22, J = 21.5 channel. + 21.5 0.90323542 0.28864697i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5+/22 @ 1 = 7.472 , Out: 0.000# + + + Total SPIN, PARITY = 21.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.7 7.1 + S-matrix 1 = 0.80589 0.41527 for L= 21, J= 21.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 13.631 2.809 deg. for the L = 21, J = 21.5 channel. + 21.5 0.80588896 0.41527179i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5-/21 @ 1 = 13.195 , Out: 0.000# + + + Total SPIN, PARITY = 22.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 7.5 + S-matrix 1 = 0.90324 0.28865 for L= 22, J= 22.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 8.861 1.523 deg. for the L = 22, J = 22.5 channel. + 22.5 0.90323542 0.28864697i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5+/22 @ 1 = 7.812 , Out: 0.000# + + + Total SPIN, PARITY = 22.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 7.5 + S-matrix 1 = 0.95347 0.19030 for L= 23, J= 22.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 5.644 0.806 deg. for the L = 23, J = 22.5 channel. + 22.5 0.95346804 0.19030156i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5-/23 @ 1 = 4.236 , Out: 0.000# + + + Total SPIN, PARITY = 23.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 7.8 + S-matrix 1 = 0.97780 0.12180 for L= 24, J= 23.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 3.550 0.423 deg. for the L = 24, J = 23.5 channel. + 23.5 0.97779798 0.12180040i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5+/24 @ 1 = 2.350 , Out: 0.000# + + + Total SPIN, PARITY = 23.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 7.8 + S-matrix 1 = 0.95347 0.19030 for L= 23, J= 23.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 5.644 0.806 deg. for the L = 23, J = 23.5 channel. + 23.5 0.95346804 0.19030156i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5-/23 @ 1 = 4.420 , Out: 0.000# + + + Total SPIN, PARITY = 24.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.9 8.1 + S-matrix 1 = 0.97780 0.12180 for L= 24, J= 24.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 3.550 0.423 deg. for the L = 24, J = 24.5 channel. + 24.5 0.97779798 0.12180040i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5+/24 @ 1 = 2.448 , Out: 0.000# + + + Total SPIN, PARITY = 24.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.9 8.1 + S-matrix 1 = 0.98932 0.07671 for L= 25, J= 24.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 2.217 0.222 deg. for the L = 25, J = 24.5 channel. + 24.5 0.98932277 0.07671181i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5-/25 @ 1 = 1.293 , Out: 0.000# + + + Total SPIN, PARITY = 25.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.0 8.5 + S-matrix 1 = 0.99479 0.04789 for L= 26, J= 25.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.378 0.117 deg. for the L = 26, J = 25.5 channel. + 25.5 0.99478797 0.04789046i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5+/26 @ 1 = 0.710 , Out: 0.000# + + + Total SPIN, PARITY = 25.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.0 8.5 + S-matrix 1 = 0.98932 0.07671 for L= 25, J= 25.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 2.217 0.222 deg. for the L = 25, J = 25.5 channel. + 25.5 0.98932277 0.07671181i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5-/25 @ 1 = 1.345 , Out: 0.000# + + + Total SPIN, PARITY = 26.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 8.8 + S-matrix 1 = 0.99479 0.04789 for L= 26, J= 26.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.378 0.117 deg. for the L = 26, J = 26.5 channel. + 26.5 0.99478797 0.04789046i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5+/26 @ 1 = 0.737 , Out: 0.000# + + + Total SPIN, PARITY = 26.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 8.8 + S-matrix 1 = 0.99741 0.02975 for L= 27, J= 26.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.854 0.061 deg. for the L = 27, J = 26.5 channel. + 26.5 0.99741285 0.02974937i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5-/27 @ 1 = 0.389 , Out: 0.000# + + + Total SPIN, PARITY = 27.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 9.1 + S-matrix 1 = 0.99870 0.01843 for L= 28, J= 27.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.528 0.033 deg. for the L = 28, J = 27.5 channel. + 27.5 0.99869547 0.01842613i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5+/28 @ 1 = 0.214 , Out: 0.000# + + + Total SPIN, PARITY = 27.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 9.1 + S-matrix 1 = 0.99741 0.02975 for L= 27, J= 27.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.854 0.061 deg. for the L = 27, J = 27.5 channel. + 27.5 0.99741285 0.02974937i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5-/27 @ 1 = 0.404 , Out: 0.000# + + + Total SPIN, PARITY = 28.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.2 9.4 + S-matrix 1 = 0.99870 0.01843 for L= 28, J= 28.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.528 0.033 deg. for the L = 28, J = 28.5 channel. + 28.5 0.99869547 0.01842613i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5+/28 @ 1 = 0.221 , Out: 0.000# + + + Total SPIN, PARITY = 28.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.2 9.4 + S-matrix 1 = 0.99933 0.01139 for L= 29, J= 28.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.327 0.017 deg. for the L = 29, J = 28.5 channel. + 28.5 0.99933334 0.01139192i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5-/29 @ 1 = 0.118 , Out: 0.000# + + + Total SPIN, PARITY = 29.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.3 9.8 + S-matrix 1 = 0.99966 0.00703 for L= 30, J= 29.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.202 0.009 deg. for the L = 30, J = 29.5 channel. + 29.5 0.99965563 0.00703448i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5+/30 @ 1 = 0.065 , Out: 0.000# + + + Total SPIN, PARITY = 29.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.3 9.8 + S-matrix 1 = 0.99933 0.01139 for L= 29, J= 29.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.327 0.017 deg. for the L = 29, J = 29.5 channel. + 29.5 0.99933334 0.01139192i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5-/29 @ 1 = 0.122 , Out: 0.000# + + + Total SPIN, PARITY = 30.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.4 10.1 + S-matrix 1 = 0.99966 0.00703 for L= 30, J= 30.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.202 0.009 deg. for the L = 30, J = 30.5 channel. + 30.5 0.99965563 0.00703448i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5+/30 @ 1 = 0.067 , Out: 0.000# + + + Total SPIN, PARITY = 30.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.4 10.1 + S-matrix 1 = 0.99982 0.00434 for L= 31, J= 30.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.124 0.005 deg. for the L = 31, J = 30.5 channel. + 30.5 0.99982064 0.00434002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5-/31 @ 1 = 0.035 , Out: 0.000# + + + Total SPIN, PARITY = 31.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.5 10.4 + S-matrix 1 = 0.99991 0.00268 for L= 32, J= 31.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.077 0.003 deg. for the L = 32, J = 31.5 channel. + 31.5 0.99990601 0.00267587i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5+/32 @ 1 = 0.019 , Out: 0.000# + + + Total SPIN, PARITY = 31.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.5 10.4 + S-matrix 1 = 0.99982 0.00434 for L= 31, J= 31.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.124 0.005 deg. for the L = 31, J = 31.5 channel. + 31.5 0.99982064 0.00434002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5-/31 @ 1 = 0.037 , Out: 0.000# + + + Total SPIN, PARITY = 32.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 10.7 + S-matrix 1 = 0.99991 0.00268 for L= 32, J= 32.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.077 0.003 deg. for the L = 32, J = 32.5 channel. + 32.5 0.99990601 0.00267587i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5+/32 @ 1 = 0.020 , Out: 0.000# + + + Total SPIN, PARITY = 32.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 10.7 + S-matrix 1 = 0.99995 0.00165 for L= 33, J= 32.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.047 0.001 deg. for the L = 33, J = 32.5 channel. + 32.5 0.99995053 0.00164895i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5-/33 @ 1 = 0.011 , Out: 0.000# + + + Total SPIN, PARITY = 33.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 11.1 + S-matrix 1 = 0.99997 0.00102 for L= 34, J= 33.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.029 0.001 deg. for the L = 34, J = 33.5 channel. + 33.5 0.99997388 0.00101568i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5+/34 @ 1 = 5.864/, Out: 0.000# + + + Total SPIN, PARITY = 33.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 11.1 + S-matrix 1 = 0.99995 0.00165 for L= 33, J= 33.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.047 0.001 deg. for the L = 33, J = 33.5 channel. + 33.5 0.99995053 0.00164895i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5-/33 @ 1 = 0.011 , Out: 0.000# + + + Total SPIN, PARITY = 34.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.7 11.4 + S-matrix 1 = 0.99997 0.00102 for L= 34, J= 34.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.029 0.001 deg. for the L = 34, J = 34.5 channel. + 34.5 0.99997388 0.00101568i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5+/34 @ 1 = 6.037/, Out: 0.000# + + + Total SPIN, PARITY = 34.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.7 11.4 + S-matrix 1 = 0.99999 0.00063 for L= 35, J= 34.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.018 0.000 deg. for the L = 35, J = 34.5 channel. + 34.5 0.99998618 0.00062537i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5-/35 @ 1 = 3.213/, Out: 0.000# + + + Total SPIN, PARITY = 35.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.8 11.7 + S-matrix 1 = 0.99999 0.00038 for L= 36, J= 35.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.011 0.000 deg. for the L = 36, J = 35.5 channel. + 35.5 0.99999267 0.00038492i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5+/36 @ 1 = 1.758/, Out: 0.000# + + + Total SPIN, PARITY = 35.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.8 11.7 + S-matrix 1 = 0.99999 0.00063 for L= 35, J= 35.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.018 0.000 deg. for the L = 35, J = 35.5 channel. + 35.5 0.99998618 0.00062537i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5-/35 @ 1 = 3.305/, Out: 0.000# + + + Total SPIN, PARITY = 36.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.9 12.1 + S-matrix 1 = 0.99999 0.00038 for L= 36, J= 36.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.011 0.000 deg. for the L = 36, J = 36.5 channel. + 36.5 0.99999267 0.00038492i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5+/36 @ 1 = 1.807/, Out: 0.000# + + + Total SPIN, PARITY = 36.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.9 12.1 + S-matrix 1 = 1.00000 0.00024 for L= 37, J= 36.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.007 0.000 deg. for the L = 37, J = 36.5 channel. + 36.5 0.99999611 0.00023686i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5-/37 @ 1 = 0.962/, Out: 0.000# + + + Total SPIN, PARITY = 37.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 12.4 + S-matrix 1 = 1.00000 0.00015 for L= 38, J= 37.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.004 0.000 deg. for the L = 38, J = 37.5 channel. + 37.5 0.99999794 0.00014572i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5+/38 @ 1 = 0.525/, Out: 0.000# + + + Total SPIN, PARITY = 37.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 12.4 + S-matrix 1 = 1.00000 0.00024 for L= 37, J= 37.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.007 0.000 deg. for the L = 37, J = 37.5 channel. + 37.5 0.99999611 0.00023686i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5-/37 @ 1 = 0.988/, Out: 0.000# + + + Total SPIN, PARITY = 38.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 12.7 + S-matrix 1 = 1.00000 0.00015 for L= 38, J= 38.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.004 0.000 deg. for the L = 38, J = 38.5 channel. + 38.5 0.99999794 0.00014572i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5+/38 @ 1 = 0.539/, Out: 0.000# + + + Total SPIN, PARITY = 38.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 12.7 + S-matrix 1 = 1.00000 0.00009 for L= 39, J= 38.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.003 0.000 deg. for the L = 39, J = 38.5 channel. + 38.5 0.99999890 0.00008963i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5-/39 @ 1 = 0.287/, Out: 0.000# + + + Total SPIN, PARITY = 39.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.1 13.0 + S-matrix 1 = 1.00000 0.00006 for L= 40, J= 39.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 40, J = 39.5 channel. + 39.5 0.99999942 0.00005513i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5+/40 @ 1 = 0.156/, Out: 0.000# + + + Total SPIN, PARITY = 39.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.1 13.0 + S-matrix 1 = 1.00000 0.00009 for L= 39, J= 39.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.003 0.000 deg. for the L = 39, J = 39.5 channel. + 39.5 0.99999890 0.00008963i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5-/39 @ 1 = 0.294/, Out: 0.000# + + + Total SPIN, PARITY = 40.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 13.4 + S-matrix 1 = 1.00000 0.00006 for L= 40, J= 40.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 40, J = 40.5 channel. + 40.5 0.99999942 0.00005513i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5+/40 @ 1 = 0.160/, Out: 0.000# + + + Total SPIN, PARITY = 40.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 13.4 + S-matrix 1 = 1.00000 0.00003 for L= 41, J= 40.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 41, J = 40.5 channel. + 40.5 0.99999969 0.00003392i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5-/41 @ 1 = 0.085/, Out: 0.000# + + + Total SPIN, PARITY = 41.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 13.7 + S-matrix 1 = 1.00000 0.00002 for L= 42, J= 41.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 42, J = 41.5 channel. + 41.5 0.99999984 0.00002087i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5+/42 @ 1 = 0.046/, Out: 0.000# + + + Total SPIN, PARITY = 41.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 13.7 + S-matrix 1 = 1.00000 0.00003 for L= 41, J= 41.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 41, J = 41.5 channel. + 41.5 0.99999969 0.00003392i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5-/41 @ 1 = 0.087/, Out: 0.000# + + + Total SPIN, PARITY = 42.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 14.0 + S-matrix 1 = 1.00000 0.00002 for L= 42, J= 42.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 42, J = 42.5 channel. + 42.5 0.99999984 0.00002087i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5+/42 @ 1 = 0.047/, Out: 0.000# + + + Total SPIN, PARITY = 42.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.4 14.0 + S-matrix 1 = 1.00000 0.00001 for L= 43, J= 42.5 channel on core I = 0.0 from L= 43, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 43, J = 42.5 channel. + 42.5 0.99999991 0.00001286i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5-/43 @ 1 = 0.025/, Out: 0.000# + + + Total SPIN, PARITY = 43.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 14.3 + S-matrix 1 = 1.00000 0.00001 for L= 44, J= 43.5 channel on core I = 0.0 from L= 44, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 44, J = 43.5 channel. + 43.5 0.99999995 0.00000793i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 43.5+/44 @ 1 = 0.014/, Out: 0.000# + + + Total SPIN, PARITY = 43.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.4 14.3 + S-matrix 1 = 1.00000 0.00001 for L= 43, J= 43.5 channel on core I = 0.0 from L= 43, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 43, J = 43.5 channel. + 43.5 0.99999991 0.00001286i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 43.5-/43 @ 1 = 0.026/, Out: 0.000# + + + Total SPIN, PARITY = 44.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.5 14.7 + S-matrix 1 = 1.00000 0.00001 for L= 44, J= 44.5 channel on core I = 0.0 from L= 44, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 44, J = 44.5 channel. + 44.5 0.99999995 0.00000793i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 44.5+/44 @ 1 = 0.014/, Out: 0.000# + + + Total SPIN, PARITY = 44.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.5 14.7 + S-matrix 1 = 1.00000 0.00000 for L= 45, J= 44.5 channel on core I = 0.0 from L= 45, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 45, J = 44.5 channel. + 44.5 0.99999998 0.00000490i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 44.5-/45 @ 1 = 7.441#, Out: 0.000# + + + Total SPIN, PARITY = 45.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.6 15.0 + S-matrix 1 = 1.00000 0.00000 for L= 46, J= 45.5 channel on core I = 0.0 from L= 46, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 46, J = 45.5 channel. + 45.5 0.99999999 0.00000305i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 45.5+/46 @ 1 = 4.038#, Out: 0.000# + + + Total SPIN, PARITY = 45.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.6 15.0 + S-matrix 1 = 1.00000 0.00000 for L= 45, J= 45.5 channel on core I = 0.0 from L= 45, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 45, J = 45.5 channel. + 45.5 0.99999998 0.00000490i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 45.5-/45 @ 1 = 7.606#, Out: 0.000# + + + Total SPIN, PARITY = 46.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.7 15.3 + S-matrix 1 = 1.00000 0.00000 for L= 46, J= 46.5 channel on core I = 0.0 from L= 46, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 46, J = 46.5 channel. + 46.5 0.99999999 0.00000305i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 46.5+/46 @ 1 = 4.126#, Out: 0.000# + + + Total SPIN, PARITY = 46.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.7 15.3 + S-matrix 1 = 1.00000 0.00000 for L= 47, J= 46.5 channel on core I = 0.0 from L= 47, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 47, J = 46.5 channel. + 46.5 0.99999999 0.00000190i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 46.5-/47 @ 1 = 2.190#, Out: 0.000# + + + Total SPIN, PARITY = 47.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.8 15.7 + S-matrix 1 = 1.00000 0.00000 for L= 48, J= 47.5 channel on core I = 0.0 from L= 48, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 48, J = 47.5 channel. + 47.5 1.00000000 0.00000120i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 47.5+/48 @ 1 = 1.187#, Out: 0.000# + + + Total SPIN, PARITY = 47.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.8 15.7 + S-matrix 1 = 1.00000 0.00000 for L= 47, J= 47.5 channel on core I = 0.0 from L= 47, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 47, J = 47.5 channel. + 47.5 0.99999999 0.00000190i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 47.5-/47 @ 1 = 2.236#, Out: 0.000# + + + Total SPIN, PARITY = 48.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.8 16.0 + S-matrix 1 = 1.00000 0.00000 for L= 48, J= 48.5 channel on core I = 0.0 from L= 48, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 48, J = 48.5 channel. + 48.5 1.00000000 0.00000120i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 48.5+/48 @ 1 = 1.212#, Out: 0.000# + + + Total SPIN, PARITY = 48.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.8 16.0 + S-matrix 1 = 1.00000 0.00000 for L= 49, J= 48.5 channel on core I = 0.0 from L= 49, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 49, J = 48.5 channel. + 48.5 1.00000000 0.00000077i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 48.5-/49 @ 1 = 0.643#, Out: 0.000# + + + Total SPIN, PARITY = 49.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.9 16.3 + S-matrix 1 = 1.00000 0.00000 for L= 50, J= 49.5 channel on core I = 0.0 from L= 50, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 50, J = 49.5 channel. + 49.5 1.00000000 0.00000050i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 49.5+/50 @ 1 = 0.348#, Out: 0.000# + + + Total SPIN, PARITY = 49.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.9 16.3 + S-matrix 1 = 1.00000 0.00000 for L= 49, J= 49.5 channel on core I = 0.0 from L= 49, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 49, J = 49.5 channel. + 49.5 1.00000000 0.00000077i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 49.5-/49 @ 1 = 0.656#, Out: 0.000# + + + Total SPIN, PARITY = 50.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.0 16.6 + S-matrix 1 = 1.00000 0.00000 for L= 50, J= 50.5 channel on core I = 0.0 from L= 50, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 50, J = 50.5 channel. + 50.5 1.00000000 0.00000050i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 50.5+/50 @ 1 = 0.355#, Out: 0.000# + + + Total SPIN, PARITY = 50.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.0 16.6 + S-matrix 1 = 1.00000 0.00000 for L= 51, J= 50.5 channel on core I = 0.0 from L= 51, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 51, J = 50.5 channel. + 50.5 1.00000000 0.00000034i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 50.5-/51 @ 1 = 0.188#, Out: 0.000# + + + Total SPIN, PARITY = 51.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.0 17.0 + S-matrix 1 = 1.00000 0.00000 for L= 52, J= 51.5 channel on core I = 0.0 from L= 52, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 52, J = 51.5 channel. + 51.5 1.00000000 0.00000024i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 51.5+/52 @ 1 = 0.102#, Out: 0.000# + + + Total SPIN, PARITY = 51.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.0 17.0 + S-matrix 1 = 1.00000 0.00000 for L= 51, J= 51.5 channel on core I = 0.0 from L= 51, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 51, J = 51.5 channel. + 51.5 1.00000000 0.00000034i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 51.5-/51 @ 1 = 0.192#, Out: 0.000# + + + Total SPIN, PARITY = 52.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.2 17.3 + S-matrix 1 = 1.00000 0.00000 for L= 52, J= 52.5 channel on core I = 0.0 from L= 52, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 52, J = 52.5 channel. + 52.5 1.00000000 0.00000024i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 52.5+/52 @ 1 = 0.104#, Out: 0.000# + + + Total SPIN, PARITY = 52.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.2 17.3 + S-matrix 1 = 1.00000 0.00000 for L= 53, J= 52.5 channel on core I = 0.0 from L= 53, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 53, J = 52.5 channel. + 52.5 1.00000000 0.00000018i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 52.5-/53 @ 1 = 0.055#, Out: 0.000# + + + Total SPIN, PARITY = 53.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.2 17.6 + S-matrix 1 = 1.00000 0.00000 for L= 54, J= 53.5 channel on core I = 0.0 from L= 54, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 54, J = 53.5 channel. + 53.5 1.00000000 0.00000013i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 53.5+/54 @ 1 = 0.030#, Out: 0.000# + + + Total SPIN, PARITY = 53.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.2 17.6 + S-matrix 1 = 1.00000 0.00000 for L= 53, J= 53.5 channel on core I = 0.0 from L= 53, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 53, J = 53.5 channel. + 53.5 1.00000000 0.00000018i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 53.5-/53 @ 1 = 0.056#, Out: 0.000# + + + Total SPIN, PARITY = 54.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.3 17.9 + S-matrix 1 = 1.00000 0.00000 for L= 54, J= 54.5 channel on core I = 0.0 from L= 54, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 54, J = 54.5 channel. + 54.5 1.00000000 0.00000013i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 54.5+/54 @ 1 = 0.030#, Out: 0.000# + + + Total SPIN, PARITY = 54.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.3 17.9 + S-matrix 1 = 1.00000 0.00000 for L= 55, J= 54.5 channel on core I = 0.0 from L= 55, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 55, J = 54.5 channel. + 54.5 1.00000000 0.00000011i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 54.5-/55 @ 1 = 0.016#, Out: 0.000# + + + Total SPIN, PARITY = 55.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.4 18.3 + S-matrix 1 = 1.00000 0.00000 for L= 56, J= 55.5 channel on core I = 0.0 from L= 56, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 56, J = 55.5 channel. + 55.5 1.00000000 0.00000010i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 55.5+/56 @ 1 = 0.009#, Out: 0.000# + + + Total SPIN, PARITY = 55.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.4 18.3 + S-matrix 1 = 1.00000 0.00000 for L= 55, J= 55.5 channel on core I = 0.0 from L= 55, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 55, J = 55.5 channel. + 55.5 1.00000000 0.00000011i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 55.5-/55 @ 1 = 0.016#, Out: 0.000# + + + Total SPIN, PARITY = 56.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.5 18.6 + S-matrix 1 = 1.00000 0.00000 for L= 56, J= 56.5 channel on core I = 0.0 from L= 56, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 56, J = 56.5 channel. + 56.5 1.00000000 0.00000010i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 56.5+/56 @ 1 = 0.009#, Out: 0.000# + + + Total SPIN, PARITY = 56.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.5 18.6 + S-matrix 1 = 1.00000 0.00000 for L= 57, J= 56.5 channel on core I = 0.0 from L= 57, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 57, J = 56.5 channel. + 56.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 56.5-/57 @ 1 = 0.005#, Out: 0.000# + + + Total SPIN, PARITY = 57.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.5 18.9 + S-matrix 1 = 1.00000 0.00000 for L= 58, J= 57.5 channel on core I = 0.0 from L= 58, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 58, J = 57.5 channel. + 57.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 57.5+/58 @ 1 = 0.003#, Out: 0.000# + + + Total SPIN, PARITY = 57.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.5 18.9 + S-matrix 1 = 1.00000 0.00000 for L= 57, J= 57.5 channel on core I = 0.0 from L= 57, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 57, J = 57.5 channel. + 57.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 57.5-/57 @ 1 = 0.005#, Out: 0.000# + + + Total SPIN, PARITY = 58.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.6 19.3 + S-matrix 1 = 1.00000 0.00000 for L= 58, J= 58.5 channel on core I = 0.0 from L= 58, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 58, J = 58.5 channel. + 58.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 58.5+/58 @ 1 = 0.003#, Out: 0.000# + + + Total SPIN, PARITY = 58.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.6 19.3 + S-matrix 1 = 1.00000 0.00000 for L= 59, J= 58.5 channel on core I = 0.0 from L= 59, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 59, J = 58.5 channel. + 58.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 58.5-/59 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 59.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.7 19.6 + S-matrix 1 = 1.00000 0.00000 for L= 60, J= 59.5 channel on core I = 0.0 from L= 60, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 60, J = 59.5 channel. + 59.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 59.5+/60 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 59.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.7 19.6 + S-matrix 1 = 1.00000 0.00000 for L= 59, J= 59.5 channel on core I = 0.0 from L= 59, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 59, J = 59.5 channel. + 59.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 59.5-/59 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 60.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.8 19.9 + S-matrix 1 = 1.00000 0.00000 for L= 60, J= 60.5 channel on core I = 0.0 from L= 60, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 60, J = 60.5 channel. + 60.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 60.5+/60 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 60.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.8 19.9 + S-matrix 1 = 1.00000 0.00000 for L= 61, J= 60.5 channel on core I = 0.0 from L= 61, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 61, J = 60.5 channel. + 60.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 60.5-/61 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 61.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.9 20.2 + S-matrix 1 = 1.00000 0.00000 for L= 62, J= 61.5 channel on core I = 0.0 from L= 62, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 62, J = 61.5 channel. + 61.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 61.5+/62 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 61.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.9 20.2 + S-matrix 1 = 1.00000 0.00000 for L= 61, J= 61.5 channel on core I = 0.0 from L= 61, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 61, J = 61.5 channel. + 61.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 61.5-/61 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 62.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.0 20.6 + S-matrix 1 = 1.00000 0.00000 for L= 62, J= 62.5 channel on core I = 0.0 from L= 62, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 62, J = 62.5 channel. + 62.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 62.5+/62 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 62.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.0 20.6 + S-matrix 1 = 1.00000 0.00000 for L= 63, J= 62.5 channel on core I = 0.0 from L= 63, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 63, J = 62.5 channel. + 62.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 62.5-/63 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 63.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.0 20.9 + S-matrix 1 = 1.00000 0.00000 for L= 64, J= 63.5 channel on core I = 0.0 from L= 64, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 64, J = 63.5 channel. + 63.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 63.5+/64 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 63.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.0 20.9 + S-matrix 1 = 1.00000 0.00000 for L= 63, J= 63.5 channel on core I = 0.0 from L= 63, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 63, J = 63.5 channel. + 63.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 63.5-/63 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 64.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.1 21.2 + S-matrix 1 = 1.00000 0.00000 for L= 64, J= 64.5 channel on core I = 0.0 from L= 64, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 64, J = 64.5 channel. + 64.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 64.5+/64 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 64.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.1 21.2 + S-matrix 1 = 1.00000 0.00000 for L= 65, J= 64.5 channel on core I = 0.0 from L= 65, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 65, J = 64.5 channel. + 64.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 64.5-/65 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 65.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.2 21.5 + S-matrix 1 = 1.00000 0.00000 for L= 66, J= 65.5 channel on core I = 0.0 from L= 66, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 66, J = 65.5 channel. + 65.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 65.5+/66 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 65.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.2 21.5 + S-matrix 1 = 1.00000 0.00000 for L= 65, J= 65.5 channel on core I = 0.0 from L= 65, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 65, J = 65.5 channel. + 65.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 65.5-/65 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 66.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.2 21.9 + S-matrix 1 = 1.00000 0.00000 for L= 66, J= 66.5 channel on core I = 0.0 from L= 66, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 66, J = 66.5 channel. + 66.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 66.5+/66 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 66.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.2 21.9 + S-matrix 1 = 1.00000 0.00000 for L= 67, J= 66.5 channel on core I = 0.0 from L= 67, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 67, J = 66.5 channel. + 66.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 66.5-/67 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 67.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.4 22.2 + S-matrix 1 = 1.00000 0.00000 for L= 68, J= 67.5 channel on core I = 0.0 from L= 68, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 68, J = 67.5 channel. + 67.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 67.5+/68 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 67.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.4 22.2 + S-matrix 1 = 1.00000 0.00000 for L= 67, J= 67.5 channel on core I = 0.0 from L= 67, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 67, J = 67.5 channel. + 67.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 67.5-/67 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 68.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.4 22.5 + S-matrix 1 = 1.00000 0.00000 for L= 68, J= 68.5 channel on core I = 0.0 from L= 68, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 68, J = 68.5 channel. + 68.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 68.5+/68 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 68.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.4 22.5 + S-matrix 1 = 1.00000 0.00000 for L= 69, J= 68.5 channel on core I = 0.0 from L= 69, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 69, J = 68.5 channel. + 68.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 68.5-/69 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 69.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.5 22.9 + S-matrix 1 = 1.00000 0.00000 for L= 70, J= 69.5 channel on core I = 0.0 from L= 70, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 70, J = 69.5 channel. + 69.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 69.5+/70 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 69.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.5 22.9 + S-matrix 1 = 1.00000 0.00000 for L= 69, J= 69.5 channel on core I = 0.0 from L= 69, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 69, J = 69.5 channel. + 69.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 69.5-/69 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 70.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.6 23.2 + S-matrix 1 = 1.00000 0.00000 for L= 70, J= 70.5 channel on core I = 0.0 from L= 70, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 70, J = 70.5 channel. + 70.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 70.5+/70 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 70.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.6 23.2 + S-matrix 1 = 1.00000 0.00000 for L= 71, J= 70.5 channel on core I = 0.0 from L= 71, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 71, J = 70.5 channel. + 70.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 70.5-/71 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 71.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.7 23.5 + S-matrix 1 = 1.00000 0.00000 for L= 72, J= 71.5 channel on core I = 0.0 from L= 72, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 72, J = 71.5 channel. + 71.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 71.5+/72 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 71.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.7 23.5 + S-matrix 1 = 1.00000 0.00000 for L= 71, J= 71.5 channel on core I = 0.0 from L= 71, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 71, J = 71.5 channel. + 71.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 71.5-/71 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 72.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.8 23.8 + S-matrix 1 = 1.00000 0.00000 for L= 72, J= 72.5 channel on core I = 0.0 from L= 72, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 72, J = 72.5 channel. + 72.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 72.5+/72 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 72.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.8 23.8 + S-matrix 1 = 1.00000 0.00000 for L= 73, J= 72.5 channel on core I = 0.0 from L= 73, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 73, J = 72.5 channel. + 72.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 72.5-/73 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 73.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.8 24.2 + S-matrix 1 = 1.00000 0.00000 for L= 74, J= 73.5 channel on core I = 0.0 from L= 74, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 74, J = 73.5 channel. + 73.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 73.5+/74 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 73.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.8 24.2 + S-matrix 1 = 1.00000 0.00000 for L= 73, J= 73.5 channel on core I = 0.0 from L= 73, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 73, J = 73.5 channel. + 73.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 73.5-/73 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 74.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.9 24.5 + S-matrix 1 = 1.00000 0.00000 for L= 74, J= 74.5 channel on core I = 0.0 from L= 74, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 74, J = 74.5 channel. + 74.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 74.5+/74 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 74.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.9 24.5 + S-matrix 1 = 1.00000 0.00000 for L= 75, J= 74.5 channel on core I = 0.0 from L= 75, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 75, J = 74.5 channel. + 74.5 1.00000000 0.00000004i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 74.5-/75 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 75.5 +, 1 chs, 0 cc. Rmin & Coul turning = 6.0 24.8 + S-matrix 1 = 1.00000 0.00000 for L= 76, J= 75.5 channel on core I = 0.0 from L= 76, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 76, J = 75.5 channel. + 75.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 75.5+/76 @ 1 = 0.000#, Out: 0.000# + + Finished all CC sets @ 6.88580051E-02 +0CUMULATIVE REACTION cross section = 1044.23322 = 13.02 = 197.0 +0CUMULATIVE ELASTIC cross section = 0.00000 +0CUMULATIVE outgoing cross sections in partition 1 : 0.00000 +0Cumulative ABSORBTION by Imaginary Potentials = 1044.23322 = 13.02 = 197.0 + Fusion for specific p M-states : 1300.186963 1300.186963 +0CUMULATIVE OUTGOING cross section = 0.00000 + Strength functions * 10^4 for L=0-2 = 0.09513 0.09536 0.94985 (with r0= 1.35 fm). R' = 0.092 fm + To convert to S-factors (MeV.mb = keV.b), multiply by 1.4007E+03 + + + CROSS SECTIONS FOR OUTGOING p & Ni78 in state # 1 with spins & parities 0.5 + & 0.0 +; 0 + + 0.01 deg.: X-S = 4.492897E+14 mb/sr, ++ /R = 1.000025E+00 + 1.00 deg.: X-S = 3.356934E+06 mb/sr, ++ /R = 7.471455E-01 + 2.00 deg.: X-S = 1.282627E+05 mb/sr, ++ /R = 4.566848E-01 + 3.00 deg.: X-S = 5.101864E+04 mb/sr, ++ /R = 9.193903E-01 + 4.00 deg.: X-S = 4.395952E+04 mb/sr, ++ /R = 2.502791E+00 + 5.00 deg.: X-S = 3.486287E+04 mb/sr, ++ /R = 4.843690E+00 + 6.00 deg.: X-S = 2.419889E+04 mb/sr, ++ /R = 6.967727E+00 + 7.00 deg.: X-S = 1.471243E+04 mb/sr, ++ /R = 7.842966E+00 + 8.00 deg.: X-S = 7747.695575 mb/sr, ++ /R = 7.040534E+00 + 9.00 deg.: X-S = 3487.510021 mb/sr, ++ /R = 5.072051E+00 + 10.00 deg.: X-S = 1429.765109 mb/sr, ++ /R = 3.166239E+00 + 11.00 deg.: X-S = 802.925849 mb/sr, ++ /R = 2.600530E+00 + 12.00 deg.: X-S = 869.012430 mb/sr, ++ /R = 3.981615E+00 + 13.00 deg.: X-S = 1094.165012 mb/sr, ++ /R = 6.896247E+00 + 14.00 deg.: X-S = 1196.017211 mb/sr, ++ /R = 1.012536E+01 + 15.00 deg.: X-S = 1102.724360 mb/sr, ++ /R = 1.228436E+01 + 16.00 deg.: X-S = 869.737980 mb/sr, ++ /R = 1.252289E+01 + 17.00 deg.: X-S = 595.605066 mb/sr, ++ /R = 1.091093E+01 + 18.00 deg.: X-S = 362.730534 mb/sr, ++ /R = 8.336982E+00 + 19.00 deg.: X-S = 211.204733 mb/sr, ++ /R = 6.014999E+00 + 20.00 deg.: X-S = 140.014510 mb/sr, ++ /R = 4.885949E+00 + 21.00 deg.: X-S = 123.285322 mb/sr, ++ /R = 5.218414E+00 + 22.00 deg.: X-S = 129.237232 mb/sr, ++ /R = 6.574731E+00 + 23.00 deg.: X-S = 133.730656 mb/sr, ++ /R = 8.108624E+00 + 24.00 deg.: X-S = 125.591108 mb/sr, ++ /R = 9.006779E+00 + 25.00 deg.: X-S = 105.053944 mb/sr, ++ /R = 8.848188E+00 + 26.00 deg.: X-S = 78.658612 mb/sr, ++ /R = 7.730247E+00 + 27.00 deg.: X-S = 53.898648 mb/sr, ++ /R = 6.143472E+00 + 28.00 deg.: X-S = 35.708369 mb/sr, ++ /R = 4.694244E+00 + 29.00 deg.: X-S = 25.362593 mb/sr, ++ /R = 3.825491E+00 + 30.00 deg.: X-S = 21.242258 mb/sr, ++ /R = 3.658311E+00 + 31.00 deg.: X-S = 20.439112 mb/sr, ++ /R = 4.000850E+00 + 32.00 deg.: X-S = 20.261190 mb/sr, ++ /R = 4.488614E+00 + 33.00 deg.: X-S = 19.103166 mb/sr, ++ /R = 4.770540E+00 + 34.00 deg.: X-S = 16.591134 mb/sr, ++ /R = 4.652779E+00 + 35.00 deg.: X-S = 13.218712 mb/sr, ++ /R = 4.148120E+00 + 36.00 deg.: X-S = 9.800193 mb/sr, ++ /R = 3.429723E+00 + 37.00 deg.: X-S = 7.012627 mb/sr, ++ /R = 2.728233E+00 + 38.00 deg.: X-S = 5.163953 mb/sr, ++ /R = 2.226614E+00 + 39.00 deg.: X-S = 4.189297 mb/sr, ++ /R = 1.996260E+00 + 40.00 deg.: X-S = 3.792199 mb/sr, ++ /R = 1.991558E+00 + 41.00 deg.: X-S = 3.624619 mb/sr, ++ /R = 2.092467E+00 + 42.00 deg.: X-S = 3.424242 mb/sr, ++ /R = 2.167585E+00 + 43.00 deg.: X-S = 3.073146 mb/sr, ++ /R = 2.128040E+00 + 44.00 deg.: X-S = 2.583938 mb/sr, ++ /R = 1.952894E+00 + 45.00 deg.: X-S = 2.043981 mb/sr, ++ /R = 1.682405E+00 + 46.00 deg.: X-S = 1.552707 mb/sr, ++ /R = 1.388982E+00 + 47.00 deg.: X-S = 1.177134 mb/sr, ++ /R = 1.142141E+00 + 48.00 deg.: X-S = 0.935240 mb/sr, ++ /R = 9.823617E-01 + 49.00 deg.: X-S = 0.803396 mb/sr, ++ /R = 9.118690E-01 + 50.00 deg.: X-S = 0.736744 mb/sr, ++ /R = 9.019957E-01 + 51.00 deg.: X-S = 0.690665 mb/sr, ++ /R = 9.105415E-01 + 52.00 deg.: X-S = 0.635220 mb/sr, ++ /R = 9.003000E-01 + 53.00 deg.: X-S = 0.559765 mb/sr, ++ /R = 8.515499E-01 + 54.00 deg.: X-S = 0.469379 mb/sr, ++ /R = 7.652547E-01 + 55.00 deg.: X-S = 0.377108 mb/sr, ++ /R = 6.579348E-01 + 56.00 deg.: X-S = 0.296095 mb/sr, ++ /R = 5.520299E-01 + 57.00 deg.: X-S = 0.234387 mb/sr, ++ /R = 4.663165E-01 + 58.00 deg.: X-S = 0.193301 mb/sr, ++ /R = 4.098389E-01 + 59.00 deg.: X-S = 0.168718 mb/sr, ++ /R = 3.807261E-01 + 60.00 deg.: X-S = 0.153909 mb/sr, ++ /R = 3.691796E-01 + 61.00 deg.: X-S = 0.142381 mb/sr, ++ /R = 3.625969E-01 + 62.00 deg.: X-S = 0.129794 mb/sr, ++ /R = 3.505165E-01 + 63.00 deg.: X-S = 0.114559 mb/sr, ++ /R = 3.276913E-01 + 64.00 deg.: X-S = 0.097360 mb/sr, ++ /R = 2.946546E-01 + 65.00 deg.: X-S = 0.080087 mb/sr, ++ /R = 2.561654E-01 + 66.00 deg.: X-S = 0.064722 mb/sr, ++ /R = 2.185644E-01 + 67.00 deg.: X-S = 0.052559 mb/sr, ++ /R = 1.871991E-01 + 68.00 deg.: X-S = 0.043910 mb/sr, ++ /R = 1.647810E-01 + 69.00 deg.: X-S = 0.038229 mb/sr, ++ /R = 1.510082E-01 + 70.00 deg.: X-S = 0.034494 mb/sr, ++ /R = 1.432879E-01 + 71.00 deg.: X-S = 0.031634 mb/sr, ++ /R = 1.380601E-01 + 72.00 deg.: X-S = 0.028846 mb/sr, ++ /R = 1.321447E-01 + 73.00 deg.: X-S = 0.025739 mb/sr, ++ /R = 1.236603E-01 + 74.00 deg.: X-S = 0.022309 mb/sr, ++ /R = 1.123141E-01 + 75.00 deg.: X-S = 0.018804 mb/sr, ++ /R = 9.911573E-02 + 76.00 deg.: X-S = 0.015549 mb/sr, ++ /R = 8.573815E-02 + 77.00 deg.: X-S = 0.012807 mb/sr, ++ /R = 7.381409E-02 + 78.00 deg.: X-S = 0.010699 mb/sr, ++ /R = 6.440562E-02 + 79.00 deg.: X-S = 0.009196 mb/sr, ++ /R = 5.777577E-02 + 80.00 deg.: X-S = 0.008160 mb/sr, ++ /R = 5.346328E-02 + 81.00 deg.: X-S = 0.007406 mb/sr, ++ /R = 5.056693E-02 + 82.00 deg.: X-S = 0.006766 mb/sr, ++ /R = 4.810302E-02 + 83.00 deg.: X-S = 0.006124 mb/sr, ++ /R = 4.530930E-02 + 84.00 deg.: X-S = 0.005435 mb/sr, ++ /R = 4.181405E-02 + 85.00 deg.: X-S = 0.004709 mb/sr, ++ /R = 3.765002E-02 + 86.00 deg.: X-S = 0.003992 mb/sr, ++ /R = 3.314514E-02 + 87.00 deg.: X-S = 0.003337 mb/sr, ++ /R = 2.875098E-02 + 88.00 deg.: X-S = 0.002783 mb/sr, ++ /R = 2.487430E-02 + 89.00 deg.: X-S = 0.002349 mb/sr, ++ /R = 2.176056E-02 + 90.00 deg.: X-S = 0.002027 mb/sr, ++ /R = 1.945174E-02 + 91.00 deg.: X-S = 0.001793 mb/sr, ++ /R = 1.781343E-02 + 92.00 deg.: X-S = 0.001616 mb/sr, ++ /R = 1.660690E-02 + 93.00 deg.: X-S = 0.001466 mb/sr, ++ /R = 1.557520E-02 + 94.00 deg.: X-S = 0.001322 mb/sr, ++ /R = 1.451519E-02 + 95.00 deg.: X-S = 0.001174 mb/sr, ++ /R = 1.331839E-02 + 96.00 deg.: X-S = 0.001023 mb/sr, ++ /R = 1.197635E-02 + 97.00 deg.: X-S = 0.000874 mb/sr, ++ /R = 1.055722E-02 + 98.00 deg.: X-S = 0.000736 mb/sr, ++ /R = 9.166800E-03 + 99.00 deg.: X-S = 0.000616 mb/sr, ++ /R = 7.908508E-03 + 100.00 deg.: X-S = 0.000519 mb/sr, ++ /R = 6.853366E-03 + 101.00 deg.: X-S = 0.000443 mb/sr, ++ /R = 6.025823E-03 + 102.00 deg.: X-S = 0.000386 mb/sr, ++ /R = 5.405491E-03 + 103.00 deg.: X-S = 0.000343 mb/sr, ++ /R = 4.940644E-03 + 104.00 deg.: X-S = 0.000309 mb/sr, ++ /R = 4.567056E-03 + 105.00 deg.: X-S = 0.000278 mb/sr, ++ /R = 4.225869E-03 + 106.00 deg.: X-S = 0.000248 mb/sr, ++ /R = 3.876103E-03 + 107.00 deg.: X-S = 0.000218 mb/sr, ++ /R = 3.499879E-03 + 108.00 deg.: X-S = 0.000189 mb/sr, ++ /R = 3.100644E-03 + 109.00 deg.: X-S = 0.000160 mb/sr, ++ /R = 2.696447E-03 + 110.00 deg.: X-S = 0.000134 mb/sr, ++ /R = 2.311250E-03 + 111.00 deg.: X-S = 0.000111 mb/sr, ++ /R = 1.966958E-03 + 112.00 deg.: X-S = 9.254658E-05 mb/sr, ++ /R = 1.677846E-03 + 113.00 deg.: X-S = 7.803584E-05 mb/sr, ++ /R = 1.448156E-03 + 114.00 deg.: X-S = 6.703400E-05 mb/sr, ++ /R = 1.272787E-03 + 115.00 deg.: X-S = 5.871506E-05 mb/sr, ++ /R = 1.140148E-03 + 116.00 deg.: X-S = 5.218145E-05 mb/sr, ++ /R = 1.035841E-03 + 117.00 deg.: X-S = 4.664364E-05 mb/sr, ++ /R = 9.461295E-04 + 118.00 deg.: X-S = 4.153598E-05 mb/sr, ++ /R = 8.605613E-04 + 119.00 deg.: X-S = 3.655579E-05 mb/sr, ++ /R = 7.732728E-04 + 120.00 deg.: X-S = 3.163289E-05 mb/sr, ++ /R = 6.828987E-04 + 121.00 deg.: X-S = 2.685948E-05 mb/sr, ++ /R = 5.915340E-04 + 122.00 deg.: X-S = 2.241071E-05 mb/sr, ++ /R = 5.033008E-04 + 123.00 deg.: X-S = 1.847016E-05 mb/sr, ++ /R = 4.228241E-04 + 124.00 deg.: X-S = 1.517190E-05 mb/sr, ++ /R = 3.538951E-04 + 125.00 deg.: X-S = 1.257160E-05 mb/sr, ++ /R = 2.986767E-04 + 126.00 deg.: X-S = 1.064543E-05 mb/sr, ++ /R = 2.575025E-04 + 127.00 deg.: X-S = 9.302746E-06 mb/sr, ++ /R = 2.290187E-04 + 128.00 deg.: X-S = 8.406771E-06 mb/sr, ++ /R = 2.105547E-04 + 129.00 deg.: X-S = 7.803329E-06 mb/sr, ++ /R = 1.987595E-04 + 130.00 deg.: X-S = 7.349245E-06 mb/sr, ++ /R = 1.903008E-04 + 131.00 deg.: X-S = 6.929285E-06 mb/sr, ++ /R = 1.823371E-04 + 132.00 deg.: X-S = 6.464156E-06 mb/sr, ++ /R = 1.727935E-04 + 133.00 deg.: X-S = 5.915870E-06 mb/sr, ++ /R = 1.605849E-04 + 134.00 deg.: X-S = 5.285801E-06 mb/sr, ++ /R = 1.456499E-04 + 135.00 deg.: X-S = 4.601614E-06 mb/sr, ++ /R = 1.286668E-04 + 136.00 deg.: X-S = 3.902716E-06 mb/sr, ++ /R = 1.106943E-04 + 137.00 deg.: X-S = 3.232557E-06 mb/sr, ++ /R = 9.297212E-05 + 138.00 deg.: X-S = 2.632284E-06 mb/sr, ++ /R = 7.674226E-05 + 139.00 deg.: X-S = 2.131383E-06 mb/sr, ++ /R = 6.296613E-05 + 140.00 deg.: X-S = 1.742874E-06 mb/sr, ++ /R = 5.215598E-05 + 141.00 deg.: X-S = 1.467139E-06 mb/sr, ++ /R = 4.445826E-05 + 142.00 deg.: X-S = 1.296303E-06 mb/sr, ++ /R = 3.976324E-05 + 143.00 deg.: X-S = 1.214239E-06 mb/sr, ++ /R = 3.768994E-05 + 144.00 deg.: X-S = 1.198024E-06 mb/sr, ++ /R = 3.761713E-05 + 145.00 deg.: X-S = 1.223260E-06 mb/sr, ++ /R = 3.884111E-05 + 146.00 deg.: X-S = 1.267061E-06 mb/sr, ++ /R = 4.067034E-05 + 147.00 deg.: X-S = 1.306955E-06 mb/sr, ++ /R = 4.239390E-05 + 148.00 deg.: X-S = 1.321677E-06 mb/sr, ++ /R = 4.330987E-05 + 149.00 deg.: X-S = 1.295397E-06 mb/sr, ++ /R = 4.286867E-05 + 150.00 deg.: X-S = 1.220388E-06 mb/sr, ++ /R = 4.077255E-05 + 151.00 deg.: X-S = 1.096998E-06 mb/sr, ++ /R = 3.698853E-05 + 152.00 deg.: X-S = 9.339741E-07 mb/sr, ++ /R = 3.177213E-05 + 153.00 deg.: X-S = 7.481037E-07 mb/sr, ++ /R = 2.566746E-05 + 154.00 deg.: X-S = 5.600230E-07 mb/sr, ++ /R = 1.937299E-05 + 155.00 deg.: X-S = 3.884135E-07 mb/sr, ++ /R = 1.354302E-05 + 156.00 deg.: X-S = 2.469057E-07 mb/sr, ++ /R = 8.674483E-06 + 157.00 deg.: X-S = 1.432149E-07 mb/sr, ++ /R = 5.068204E-06 + 158.00 deg.: X-S = 7.845969E-08 mb/sr, ++ /R = 2.795940E-06 + 159.00 deg.: X-S = 4.812910E-08 mb/sr, ++ /R = 1.726502E-06 + 160.00 deg.: X-S = 4.575815E-08 mb/sr, ++ /R = 1.651845E-06 + 161.00 deg.: X-S = 6.627971E-08 mb/sr, ++ /R = 2.407057E-06 + 162.00 deg.: X-S = 1.066333E-07 mb/sr, ++ /R = 3.894643E-06 + 163.00 deg.: X-S = 1.648733E-07 mb/sr, ++ /R = 6.054223E-06 + 164.00 deg.: X-S = 2.386904E-07 mb/sr, ++ /R = 8.809294E-06 + 165.00 deg.: X-S = 3.226997E-07 mb/sr, ++ /R = 1.196652E-05 + 166.00 deg.: X-S = 4.061501E-07 mb/sr, ++ /R = 1.512810E-05 + 167.00 deg.: X-S = 4.740898E-07 mb/sr, ++ /R = 1.773179E-05 + 168.00 deg.: X-S = 5.113446E-07 mb/sr, ++ /R = 1.919844E-05 + 169.00 deg.: X-S = 5.064247E-07 mb/sr, ++ /R = 1.908068E-05 + 170.00 deg.: X-S = 4.551736E-07 mb/sr, ++ /R = 1.720477E-05 + 171.00 deg.: X-S = 3.645303E-07 mb/sr, ++ /R = 1.381864E-05 + 172.00 deg.: X-S = 2.530762E-07 mb/sr, ++ /R = 9.618547E-06 + 173.00 deg.: X-S = 1.455580E-07 mb/sr, ++ /R = 5.544824E-06 + 174.00 deg.: X-S = 6.470973E-08 mb/sr, ++ /R = 2.469916E-06 + 175.00 deg.: X-S = 2.530076E-08 mb/sr, ++ /R = 9.673292E-07 + 176.00 deg.: X-S = 3.063753E-08 mb/sr, ++ /R = 1.172979E-06 + 177.00 deg.: X-S = 7.063508E-08 mb/sr, ++ /R = 2.707198E-06 + 178.00 deg.: X-S = 1.242767E-07 mb/sr, ++ /R = 4.766723E-06 + 179.00 deg.: X-S = 1.679318E-07 mb/sr, ++ /R = 6.444092E-06 + 179.99 deg.: X-S = 1.844809E-07 mb/sr, ++ /R = 7.080213E-06 + Integrated 8.5993E+09 mb, over [ 0.000, 180.000] at 200.0000 MeV + Finished all xsecs @ 7.04640001E-02 + + The following files have been created: + 3:local copy of User input. 6:standard output. + 7:elastic S-matrix elements. 13:total cross sections/state. + 16:tables of cross sections. 38:cross sections for each J/pi. + 39:cross sections for each Ecm. 40:all cross sectns. for each Elab. + 45:scat phase shift as E functions. 56:Fusion for each Jtotal. + 201:Separate cross sections. + + PARAMETERS : MAXQRN MLOC LMAX1 MCLIST MFNL MPWCOUP + ALLOWED : 1 2 180 4 1 0 + REQUIRED: 0 2 77 2 0 0 + + + ACCURACY ANALYSIS at 200.000 MeV : + + Elastic h*k = 0.153 so OK compared with 0.200 + + Real(S-el) > 0.01 first at J = 0.5 + Real(S-el) > 0.10 first at J = 0.5 + Real(S-el) > 0.50 first at J = 19.5 + Real(S-el) > 0.90 first at J = 21.5 + Real(S-el) > 0.99 first at J = 25.5 + R-turn = 24.82 fm at J = 75.5 + + Forward-angle excitation cut off below 0.470 deg by max JT = 75.5 + and below 0.195 deg by max R. + + Total CPU 0 time = 0.07 seconds diff --git a/tests/regression/frescox/outputs/B1_n-high-el.out b/tests/regression/frescox/outputs/B1_n-high-el.out new file mode 100644 index 00000000..d67f629b --- /dev/null +++ b/tests/regression/frescox/outputs/B1_n-high-el.out @@ -0,0 +1,3249 @@ +Running on kyle-ThinkPad-X390 + FRESCOX - version 7.2-20-ga7f491: Coupled Reaction Channels on gfortran + + Using NAMELIST input + + n+Ni78 Nuclear; high-energy extension + + 0.050 60.000 0.500 0.000 0.000 0.000 0.000 0.000 0.000 0.000 + + Centre-of-mass Range is 1202 * 0.0500 fm., Maximum at 60.00 fm., Interpolating NL forms every 0.50 fm. + Non - locality width is 4 * 0.0500 fm., Maximum of 0.15 fm., Centred at 0.00 fm. + 2-Nucleon Separation of 0 * 0.5000 fm., Maximum of 0.00 fm., Minimum at 0.00 fm. + Maximum single particle bins of 60.0000 fm. + M,Mint = 1201 1201 + + + Range of total J is 0.0 <= J <= 160.0 (at least 0.0) and Absorbtion => 0.0010 mb. + Dry Run = F, CC set limits = 0 0, Relativistic kinematics = , Both/Far/Near Analyses = 1 + + Cross Sections (and up to T0 for 0=projectile) for Theta from 0.0 to 180.0 in steps of 1.0 degrees, DGAM=0, grace=T, Coordinates = 0 (Mads) + + Lower Radial Cutoff = maximum of -1.60*L*h & 0.0 fm., Lower Cutoff for Couplings = 0.0 fm. + + + Iterate Couplings between 0 and 0 times, to 0.000 % if sooner. + Block solved exactly = 0 chs., with Pade = 0 & Isocen = =0, NOSOL = F, CCREAL = F, initwf = 0 + Small channels are 0.00E+00 and small couplings are 1.00E-12 of unitarity + + NL quadrature with 18 Gaussian points, Calculate multipoles up to 170 from 0 + M-transfers for lp+lt greater than or equal to 6, Angular Integration Cutoff below 2.7778 % + + + Trace switches are : CHANS = 1, LISTCC = 0, TRENEG = 0, CDETR = 0, SMATS = 2, XSTABL = 1, NLPL = 0 + + WAVES = 0, LAMPL = 0, VEFF = 0, KFUS = 0, WDISK = 0, BPM = 0, MELFIL = 0 + + CDCC = 0, NFUS = 0, TCFILE = 0 + + Using unit mass = 1.000000 amu and 1/fine-structure constant = 137.03599 ( 1.000000 * true ) with hc = 197.32705 MeV.fm, + thus 2*amu/hbar^2 = 0.0478450 = 1/20.9008 and Coulomb constant = 0.1574855 so e^2 = 1.43996515, and nuclear magneton= 0.1261183 + + Now pre-scan input and save to file 3 + + + + *********** PARTITION NUMBER 1 ****************************************************************************************** + + PROJ=n MASS= 1.0000 Z= 0.0, # STATES= 1T, TARG=Ni78 MASS= 78.0000 Z= 28.0, Q-VALUE = -0.0000 MeV + + MIXPOT = 0: no couplings (default) + + 1: J= 0.5+ (B# 1), E= 0.0000, K= 0.5 Potl# 1 J= 0.0+ (B# 1), E= 0.0000, K= 0.0 + + + ************************************************************************************************************************************ + + The following POTENTIALS are defined : + + KP# TYPE IT SHAPE at V1 r1 a1 V2 r2 a2 A-in A-used + + + A#1 A#2 r0c ac h @ 1 + 1 0=Coulomb 0=CHARGE (WS) 1 78.000 1.000 1.2000 0.0000 0.0000 0.0000 0.000 146.585 0.05000 + + 1 1=Volume 0=Woods-Saxon 2 40.0000 1.2000 0.6500 10.0000 1.2000 0.5000 0.000 146.585 + + Incoming partition 1 in excitation state # 1, Laboratory Energy given for partition 1 Nucleus 1 in Excitation pair 1 + +0Lab. ENERGY ranges : + + from 49.3500 to 100.000 in 1 intervals + from 100.000 to 200.000 in 1 intervals + from 200.000 to 0.00000 in 0 intervals + + Largest real,imaginary parts of any form factor at R= 59.50 are 2.42E-02 2.68E-32 MeV + Finished all Couplings @ 3.02000088E-04 + + Symmetric Hamiltonian +1*********************************************************************************************************************************** +************************************************************************************************************************************ + + INCOMING n ; LABORATORY n ENERGY = 49.350 MeV. + + *********************************************************************************************************************************** + *********************************************************************************************************************************** + + + NOTE: Coulomb excitation cut off below 0.000 deg by JTMAX, and below 0.000 deg by Rmax + + Allocate arrays for 1 channels, of which 1 need wfs. + + ######################################################################################################################### + # # + # Total SPIN and PARITY = 0.5 +, 1 channels, 0 in 1st block. Rmin & Coul turning = 0.0 0.000E+00 fm. # + # # + ######################################################################################################################### + + + + C Projectl Target # EX. (L Proj) J + Targ = Jtotal E-cm Re K Re Eta RM*K CH G-REL + 1 n Ni78 # 1: I 0 0.5 0.5 0.0 0.5 48.72532 1.51715 0.00000 91.0292 -0.03845 -0.49852 1 1 1 1 1.00000 + S-matrix 1 = 0.19182 0.11905 for L= 0, J= 0.5 channel on core I = 0.0 from L= 0, Acc. loss = 0.0 D. + Elastic phase shift 1 = 15.913 42.636 deg. for the L = 0, J = 0.5 channel. + 0.5 0.19181820 0.11905015i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5+/ 0 @ 1 = 12.953 , Out: 0.000# + + + Total SPIN, PARITY = 0.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.0 0.0 + S-matrix 1 = 0.19614 0.11220 for L= 1, J= 0.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = 14.886 42.610 deg. for the L = 1, J = 0.5 channel. + 0.5 0.19614286 0.11220109i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5-/ 1 @ 1 = 12.952 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.9 + S-matrix 1 = 0.21330 0.08727 for L= 2, J= 1.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = 11.126 42.045 deg. for the L = 2, J = 1.5 channel. + 1.5 0.21330220 0.08727023i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5+/ 2 @ 1 = 25.847 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.9 + S-matrix 1 = 0.19614 0.11220 for L= 1, J= 1.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = 14.886 42.610 deg. for the L = 1, J = 1.5 channel. + 1.5 0.19614286 0.11220109i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5-/ 1 @ 1 = 25.904 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.6 + S-matrix 1 = 0.21330 0.08727 for L= 2, J= 2.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = 11.126 42.045 deg. for the L = 2, J = 2.5 channel. + 2.5 0.21330220 0.08727023i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5+/ 2 @ 1 = 38.771 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.6 + S-matrix 1 = 0.23023 0.05691 for L= 3, J= 2.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = 6.943 41.225 deg. for the L = 3, J = 2.5 channel. + 2.5 0.23022636 0.05691129i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5-/ 3 @ 1 = 38.643 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 2.3 + S-matrix 1 = 0.24078 -0.00260 for L= 4, J= 3.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -0.310 40.789 deg. for the L = 4, J = 3.5 channel. + 3.5 0.24078170 -0.00260304i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5+/ 4 @ 1 = 51.429 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 2.3 + S-matrix 1 = 0.23023 0.05691 for L= 3, J= 3.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = 6.943 41.225 deg. for the L = 3, J = 3.5 channel. + 3.5 0.23022636 0.05691129i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5-/ 3 @ 1 = 51.524 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.3 2.9 + S-matrix 1 = 0.24078 -0.00260 for L= 4, J= 4.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -0.310 40.789 deg. for the L = 4, J = 4.5 channel. + 4.5 0.24078170 -0.00260304i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5+/ 4 @ 1 = 64.286 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.3 2.9 + S-matrix 1 = 0.24722 -0.07944 for L= 5, J= 4.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -8.907 38.627 deg. for the L = 5, J = 4.5 channel. + 4.5 0.24722076 -0.07944340i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5-/ 5 @ 1 = 63.642 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.4 3.6 + S-matrix 1 = 0.20658 -0.16197 for L= 6, J= 5.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -19.050 38.316 deg. for the L = 6, J = 5.5 channel. + 5.5 0.20657968 -0.16197362i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5+/ 6 @ 1 = 76.249 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.4 3.6 + S-matrix 1 = 0.24722 -0.07944 for L= 5, J= 5.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -8.907 38.627 deg. for the L = 5, J = 5.5 channel. + 5.5 0.24722076 -0.07944340i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5-/ 5 @ 1 = 76.370 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.5 4.3 + S-matrix 1 = 0.20658 -0.16197 for L= 6, J= 6.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -19.050 38.316 deg. for the L = 6, J = 6.5 channel. + 6.5 0.20657968 -0.16197362i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5+/ 6 @ 1 = 88.957 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.5 4.3 + S-matrix 1 = 0.09169 -0.26427 for L= 7, J= 6.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -35.432 36.496 deg. for the L = 7, J = 6.5 channel. + 6.5 0.09169351 -0.26426549i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5-/ 7 @ 1 = 88.065 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 4.9 + S-matrix 1 = -0.07435 -0.32115 for L= 8, J= 7.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -51.518 31.792 deg. for the L = 8, J = 7.5 channel. + 7.5 -0.07435316 -0.32114645i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5+/ 8 @ 1 = 97.325 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 4.9 + S-matrix 1 = 0.09169 -0.26427 for L= 7, J= 7.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -35.432 36.496 deg. for the L = 7, J = 7.5 channel. + 7.5 0.09169351 -0.26426549i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5-/ 7 @ 1 = 100.646 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 5.6 + S-matrix 1 = -0.07435 -0.32115 for L= 8, J= 8.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -51.518 31.792 deg. for the L = 8, J = 8.5 channel. + 8.5 -0.07435316 -0.32114645i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5+/ 8 @ 1 = 109.490 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 5.6 + S-matrix 1 = -0.22647 -0.19438 for L= 9, J= 8.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -69.680 34.640 deg. for the L = 9, J = 8.5 channel. + 8.5 -0.22646956 -0.19438157i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5-/ 9 @ 1 = 111.897 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.7 6.3 + S-matrix 1 = -0.15007 0.26771 for L= 10, J= 9.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = 59.637 33.839 deg. for the L = 10, J = 9.5 channel. + 9.5 -0.15006823 0.26771232i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5+/10 @ 1 = 123.631 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.7 6.3 + S-matrix 1 = -0.22647 -0.19438 for L= 9, J= 9.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -69.680 34.640 deg. for the L = 9, J = 9.5 channel. + 9.5 -0.22646956 -0.19438157i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5-/ 9 @ 1 = 124.330 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.8 6.9 + S-matrix 1 = -0.15007 0.26771 for L= 10, J= 10.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = 59.637 33.839 deg. for the L = 10, J = 10.5 channel. + 10.5 -0.15006823 0.26771232i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5+/10 @ 1 = 135.994 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.8 6.9 + S-matrix 1 = 0.51385 0.52790 for L= 11, J= 10.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = 22.886 8.754 deg. for the L = 11, J = 10.5 channel. + 10.5 0.51385073 0.52790162i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5-/11 @ 1 = 68.654 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.9 7.6 + S-matrix 1 = 0.89783 0.27353 for L= 12, J= 11.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 8.472 1.816 deg. for the L = 12, J = 11.5 channel. + 11.5 0.89783145 0.27353373i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5+/12 @ 1 = 19.503 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.9 7.6 + S-matrix 1 = 0.51385 0.52790 for L= 11, J= 11.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = 22.886 8.754 deg. for the L = 11, J = 11.5 channel. + 11.5 0.51385073 0.52790162i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5-/11 @ 1 = 74.895 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 8.2 + S-matrix 1 = 0.89783 0.27353 for L= 12, J= 12.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 8.472 1.816 deg. for the L = 12, J = 12.5 channel. + 12.5 0.89783145 0.27353373i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5+/12 @ 1 = 21.128 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 8.2 + S-matrix 1 = 0.97918 0.10869 for L= 13, J= 12.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 3.167 0.427 deg. for the L = 13, J = 12.5 channel. + 12.5 0.97917976 0.10869436i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5-/13 @ 1 = 5.215 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 8.9 + S-matrix 1 = 0.99521 0.04199 for L= 14, J= 13.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.208 0.112 deg. for the L = 14, J = 13.5 channel. + 13.5 0.99521133 0.04199353i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5+/14 @ 1 = 1.489 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 8.9 + S-matrix 1 = 0.97918 0.10869 for L= 13, J= 13.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 3.167 0.427 deg. for the L = 13, J = 13.5 channel. + 13.5 0.97917976 0.10869436i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5-/13 @ 1 = 5.616 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.1 9.6 + S-matrix 1 = 0.99521 0.04199 for L= 14, J= 14.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.208 0.112 deg. for the L = 14, J = 14.5 channel. + 14.5 0.99521133 0.04199353i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5+/14 @ 1 = 1.595 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.1 9.6 + S-matrix 1 = 0.99878 0.01623 for L= 15, J= 14.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.466 0.031 deg. for the L = 15, J = 14.5 channel. + 14.5 0.99877885 0.01623460i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5-/15 @ 1 = 0.446 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 10.2 + S-matrix 1 = 0.99967 0.00629 for L= 16, J= 15.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.180 0.009 deg. for the L = 16, J = 15.5 channel. + 15.5 0.99966668 0.00628604i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5+/16 @ 1 = 0.137 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 10.2 + S-matrix 1 = 0.99878 0.01623 for L= 15, J= 15.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.466 0.031 deg. for the L = 15, J = 15.5 channel. + 15.5 0.99877885 0.01623460i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5-/15 @ 1 = 0.475 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 10.9 + S-matrix 1 = 0.99967 0.00629 for L= 16, J= 16.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.180 0.009 deg. for the L = 16, J = 16.5 channel. + 16.5 0.99966668 0.00628604i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5+/16 @ 1 = 0.145 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 10.9 + S-matrix 1 = 0.99991 0.00243 for L= 17, J= 16.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.070 0.003 deg. for the L = 17, J = 16.5 channel. + 16.5 0.99990531 0.00243443i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5-/17 @ 1 = 0.043 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 11.5 + S-matrix 1 = 0.99997 0.00094 for L= 18, J= 17.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.027 0.001 deg. for the L = 18, J = 17.5 channel. + 17.5 0.99997251 0.00094221i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5+/18 @ 1 = 0.013 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 11.5 + S-matrix 1 = 0.99991 0.00243 for L= 17, J= 17.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.070 0.003 deg. for the L = 17, J = 17.5 channel. + 17.5 0.99990531 0.00243443i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5-/17 @ 1 = 0.045 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 12.2 + S-matrix 1 = 0.99997 0.00094 for L= 18, J= 18.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.027 0.001 deg. for the L = 18, J = 18.5 channel. + 18.5 0.99997251 0.00094221i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5+/18 @ 1 = 0.014 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 12.2 + S-matrix 1 = 0.99999 0.00036 for L= 19, J= 18.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.010 0.000 deg. for the L = 19, J = 18.5 channel. + 18.5 0.99999193 0.00036432i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5-/19 @ 1 = 4.152/, Out: 0.000# + + + Total SPIN, PARITY = 19.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.5 12.8 + S-matrix 1 = 1.00000 0.00014 for L= 20, J= 19.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.004 0.000 deg. for the L = 20, J = 19.5 channel. + 19.5 0.99999762 0.00014073i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5+/20 @ 1 = 1.295/, Out: 0.000# + + + Total SPIN, PARITY = 19.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.5 12.8 + S-matrix 1 = 0.99999 0.00036 for L= 19, J= 19.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.010 0.000 deg. for the L = 19, J = 19.5 channel. + 19.5 0.99999193 0.00036432i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5-/19 @ 1 = 4.370/, Out: 0.000# + + + Total SPIN, PARITY = 20.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.6 13.5 + S-matrix 1 = 1.00000 0.00014 for L= 20, J= 20.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.004 0.000 deg. for the L = 20, J = 20.5 channel. + 20.5 0.99999762 0.00014073i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5+/20 @ 1 = 1.360/, Out: 0.000# + + + Total SPIN, PARITY = 20.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.6 13.5 + S-matrix 1 = 1.00000 0.00005 for L= 21, J= 20.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 21, J = 20.5 channel. + 20.5 0.99999930 0.00005431i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5-/21 @ 1 = 0.403/, Out: 0.000# + + + Total SPIN, PARITY = 21.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.7 14.2 + S-matrix 1 = 1.00000 0.00002 for L= 22, J= 21.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 22, J = 21.5 channel. + 21.5 0.99999979 0.00002094i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5+/22 @ 1 = 0.125/, Out: 0.000# + + + Total SPIN, PARITY = 21.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.7 14.2 + S-matrix 1 = 1.00000 0.00005 for L= 21, J= 21.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 21, J = 21.5 channel. + 21.5 0.99999930 0.00005431i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5-/21 @ 1 = 0.422/, Out: 0.000# + + + Total SPIN, PARITY = 22.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 14.8 + S-matrix 1 = 1.00000 0.00002 for L= 22, J= 22.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 22, J = 22.5 channel. + 22.5 0.99999979 0.00002094i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5+/22 @ 1 = 0.131/, Out: 0.000# + + + Total SPIN, PARITY = 22.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 14.8 + S-matrix 1 = 1.00000 0.00001 for L= 23, J= 22.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 23, J = 22.5 channel. + 22.5 0.99999994 0.00000807i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5-/23 @ 1 = 0.039/, Out: 0.000# + + + Total SPIN, PARITY = 23.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 15.5 + S-matrix 1 = 1.00000 0.00000 for L= 24, J= 23.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 24, J = 23.5 channel. + 23.5 0.99999998 0.00000311i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5+/24 @ 1 = 0.012/, Out: 0.000# + + + Total SPIN, PARITY = 23.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 15.5 + S-matrix 1 = 1.00000 0.00001 for L= 23, J= 23.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 23, J = 23.5 channel. + 23.5 0.99999994 0.00000807i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5-/23 @ 1 = 0.040/, Out: 0.000# + + + Total SPIN, PARITY = 24.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.9 16.1 + S-matrix 1 = 1.00000 0.00000 for L= 24, J= 24.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 24, J = 24.5 channel. + 24.5 0.99999998 0.00000311i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5+/24 @ 1 = 0.012/, Out: 0.000# + + + Total SPIN, PARITY = 24.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.9 16.1 + S-matrix 1 = 1.00000 0.00000 for L= 25, J= 24.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 25, J = 24.5 channel. + 24.5 0.99999999 0.00000120i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5-/25 @ 1 = 3.682#, Out: 0.000# + + + Total SPIN, PARITY = 25.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.0 16.8 + S-matrix 1 = 1.00000 0.00000 for L= 26, J= 25.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 26, J = 25.5 channel. + 25.5 1.00000000 0.00000047i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5+/26 @ 1 = 1.132#, Out: 0.000# + + + Total SPIN, PARITY = 25.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.0 16.8 + S-matrix 1 = 1.00000 0.00000 for L= 25, J= 25.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 25, J = 25.5 channel. + 25.5 0.99999999 0.00000120i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5-/25 @ 1 = 3.829#, Out: 0.000# + + + Total SPIN, PARITY = 26.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 17.5 + S-matrix 1 = 1.00000 0.00000 for L= 26, J= 26.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 26, J = 26.5 channel. + 26.5 1.00000000 0.00000047i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5+/26 @ 1 = 1.175#, Out: 0.000# + + + Total SPIN, PARITY = 26.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 17.5 + S-matrix 1 = 1.00000 0.00000 for L= 27, J= 26.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 27, J = 26.5 channel. + 26.5 1.00000000 0.00000019i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5-/27 @ 1 = 0.347#, Out: 0.000# + + + Total SPIN, PARITY = 27.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 18.1 + S-matrix 1 = 1.00000 0.00000 for L= 28, J= 27.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 28, J = 27.5 channel. + 27.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5+/28 @ 1 = 0.106#, Out: 0.000# + + + Total SPIN, PARITY = 27.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 18.1 + S-matrix 1 = 1.00000 0.00000 for L= 27, J= 27.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 27, J = 27.5 channel. + 27.5 1.00000000 0.00000019i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5-/27 @ 1 = 0.360#, Out: 0.000# + + + Total SPIN, PARITY = 28.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.2 18.8 + S-matrix 1 = 1.00000 0.00000 for L= 28, J= 28.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 28, J = 28.5 channel. + 28.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5+/28 @ 1 = 0.110#, Out: 0.000# + + + Total SPIN, PARITY = 28.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.2 18.8 + S-matrix 1 = 1.00000 0.00000 for L= 29, J= 28.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 29, J = 28.5 channel. + 28.5 1.00000000 0.00000004i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5-/29 @ 1 = 0.032#, Out: 0.000# + + + Total SPIN, PARITY = 29.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.3 19.4 + S-matrix 1 = 1.00000 0.00000 for L= 30, J= 29.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 30, J = 29.5 channel. + 29.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5+/30 @ 1 = 0.010#, Out: 0.000# + + + Total SPIN, PARITY = 29.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.3 19.4 + S-matrix 1 = 1.00000 0.00000 for L= 29, J= 29.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 29, J = 29.5 channel. + 29.5 1.00000000 0.00000004i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5-/29 @ 1 = 0.034#, Out: 0.000# + + + Total SPIN, PARITY = 30.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.4 20.1 + S-matrix 1 = 1.00000 0.00000 for L= 30, J= 30.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 30, J = 30.5 channel. + 30.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5+/30 @ 1 = 0.010#, Out: 0.000# + + + Total SPIN, PARITY = 30.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.4 20.1 + S-matrix 1 = 1.00000 0.00000 for L= 31, J= 30.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 31, J = 30.5 channel. + 30.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5-/31 @ 1 = 0.003#, Out: 0.000# + + + Total SPIN, PARITY = 31.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.5 20.8 + S-matrix 1 = 1.00000 0.00000 for L= 32, J= 31.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 32, J = 31.5 channel. + 31.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5+/32 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 31.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.5 20.8 + S-matrix 1 = 1.00000 0.00000 for L= 31, J= 31.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 31, J = 31.5 channel. + 31.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5-/31 @ 1 = 0.003#, Out: 0.000# + + + Total SPIN, PARITY = 32.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 21.4 + S-matrix 1 = 1.00000 0.00000 for L= 32, J= 32.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 32, J = 32.5 channel. + 32.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5+/32 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 32.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 21.4 + S-matrix 1 = 1.00000 0.00000 for L= 33, J= 32.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 33, J = 32.5 channel. + 32.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5-/33 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 33.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 22.1 + S-matrix 1 = 1.00000 0.00000 for L= 34, J= 33.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 34, J = 33.5 channel. + 33.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5+/34 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 33.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 22.1 + S-matrix 1 = 1.00000 0.00000 for L= 33, J= 33.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 33, J = 33.5 channel. + 33.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5-/33 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 34.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.7 22.7 + S-matrix 1 = 1.00000 0.00000 for L= 34, J= 34.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 34, J = 34.5 channel. + 34.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5+/34 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 34.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.7 22.7 + S-matrix 1 = 1.00000 0.00000 for L= 35, J= 34.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 35, J = 34.5 channel. + 34.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5-/35 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 35.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.8 23.4 + S-matrix 1 = 1.00000 0.00000 for L= 36, J= 35.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 36, J = 35.5 channel. + 35.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5+/36 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 35.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.8 23.4 + S-matrix 1 = 1.00000 0.00000 for L= 35, J= 35.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 35, J = 35.5 channel. + 35.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5-/35 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 36.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.9 24.1 + S-matrix 1 = 1.00000 0.00000 for L= 36, J= 36.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 36, J = 36.5 channel. + 36.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5+/36 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 36.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.9 24.1 + S-matrix 1 = 1.00000 0.00000 for L= 37, J= 36.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 37, J = 36.5 channel. + 36.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5-/37 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 37.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 24.7 + S-matrix 1 = 1.00000 0.00000 for L= 38, J= 37.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 38, J = 37.5 channel. + 37.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5+/38 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 37.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 24.7 + S-matrix 1 = 1.00000 0.00000 for L= 37, J= 37.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 37, J = 37.5 channel. + 37.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5-/37 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 38.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 25.4 + S-matrix 1 = 1.00000 0.00000 for L= 38, J= 38.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 38, J = 38.5 channel. + 38.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5+/38 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 38.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 25.4 + S-matrix 1 = 1.00000 0.00000 for L= 39, J= 38.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 39, J = 38.5 channel. + 38.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5-/39 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 39.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.1 26.0 + S-matrix 1 = 1.00000 0.00000 for L= 40, J= 39.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 40, J = 39.5 channel. + 39.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5+/40 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 39.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.1 26.0 + S-matrix 1 = 1.00000 0.00000 for L= 39, J= 39.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 39, J = 39.5 channel. + 39.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5-/39 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 40.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 26.7 + S-matrix 1 = 1.00000 0.00000 for L= 40, J= 40.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 40, J = 40.5 channel. + 40.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5+/40 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 40.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 26.7 + S-matrix 1 = 1.00000 0.00000 for L= 41, J= 40.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 41, J = 40.5 channel. + 40.5 1.00000000 0.00000000i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5-/41 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 41.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 27.4 + S-matrix 1 = 1.00000 0.00000 for L= 42, J= 41.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 42, J = 41.5 channel. + 41.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5+/42 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 41.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 27.4 + S-matrix 1 = 1.00000 0.00000 for L= 41, J= 41.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 41, J = 41.5 channel. + 41.5 1.00000000 0.00000000i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5-/41 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 42.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 28.0 + S-matrix 1 = 1.00000 0.00000 for L= 42, J= 42.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 42, J = 42.5 channel. + 42.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5+/42 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 42.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.4 28.0 + S-matrix 1 = 1.00000 0.00000 for L= 43, J= 42.5 channel on core I = 0.0 from L= 43, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 43, J = 42.5 channel. + 42.5 1.00000000 0.00000000i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5-/43 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 43.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 28.7 + S-matrix 1 = 1.00000 0.00000 for L= 44, J= 43.5 channel on core I = 0.0 from L= 44, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 44, J = 43.5 channel. + 43.5 1.00000000 0.00000000i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 43.5+/44 @ 1 = 0.000#, Out: 0.000# + + Finished all CC sets @ 8.04800075E-03 +0CUMULATIVE REACTION cross section = 1718.33142 = 7.35 = 62.4 +0CUMULATIVE TOTAL cross section = 3597.87247 = 7.73 = 67.1 +0CUMULATIVE ELASTIC cross section = 1879.54105 = 8.07 = 71.4 +0CUMULATIVE outgoing cross sections in partition 1 : 0.00000 +0Cumulative ABSORBTION by Imaginary Potentials = 1718.33142 = 7.35 = 62.4 + Fusion for specific n M-states : 2318.873455 2318.873455 +0CUMULATIVE OUTGOING cross section = 0.00000 + Strength functions * 10^4 for L=0-2 = 0.21638 0.21919 2.16740 (with r0= 1.35 fm). R' = -0.109 fm + To convert to S-factors (MeV.mb = keV.b), multiply by 4.8725E+01 + + + CROSS SECTIONS FOR OUTGOING n & Ni78 in state # 1 with spins & parities 0.5 + & 0.0 +; 0 + + 0.01 deg.: X-S = 1.910546E+04 mb/sr, ++ REAC 1.7183E+03 mb + 1.00 deg.: X-S = 1.888575E+04 mb/sr, + 2.00 deg.: X-S = 1.823932E+04 mb/sr, + 3.00 deg.: X-S = 1.720342E+04 mb/sr, + 4.00 deg.: X-S = 1.583668E+04 mb/sr, + 5.00 deg.: X-S = 1.421443E+04 mb/sr, + 6.00 deg.: X-S = 1.242267E+04 mb/sr, + 7.00 deg.: X-S = 1.055150E+04 mb/sr, + 8.00 deg.: X-S = 8688.563208 mb/sr, + 9.00 deg.: X-S = 6913.013159 mb/sr, + 10.00 deg.: X-S = 5290.645887 mb/sr, + 11.00 deg.: X-S = 3870.499188 mb/sr, + 12.00 deg.: X-S = 2683.122583 mb/sr, + 13.00 deg.: X-S = 1740.535671 mb/sr, + 14.00 deg.: X-S = 1037.718001 mb/sr, + 15.00 deg.: X-S = 555.336872 mb/sr, + 16.00 deg.: X-S = 263.325623 mb/sr, + 17.00 deg.: X-S = 124.881879 mb/sr, + 18.00 deg.: X-S = 100.462708 mb/sr, + 19.00 deg.: X-S = 151.405446 mb/sr, + 20.00 deg.: X-S = 242.888194 mb/sr, + 21.00 deg.: X-S = 346.049056 mb/sr, + 22.00 deg.: X-S = 439.193692 mb/sr, + 23.00 deg.: X-S = 508.123573 mb/sr, + 24.00 deg.: X-S = 545.701907 mb/sr, + 25.00 deg.: X-S = 550.833589 mb/sr, + 26.00 deg.: X-S = 527.066823 mb/sr, + 27.00 deg.: X-S = 481.027930 mb/sr, + 28.00 deg.: X-S = 420.881241 mb/sr, + 29.00 deg.: X-S = 354.968797 mb/sr, + 30.00 deg.: X-S = 290.737005 mb/sr, + 31.00 deg.: X-S = 234.006490 mb/sr, + 32.00 deg.: X-S = 188.593478 mb/sr, + 33.00 deg.: X-S = 156.251062 mb/sr, + 34.00 deg.: X-S = 136.869679 mb/sr, + 35.00 deg.: X-S = 128.859362 mb/sr, + 36.00 deg.: X-S = 129.631521 mb/sr, + 37.00 deg.: X-S = 136.103326 mb/sr, + 38.00 deg.: X-S = 145.160789 mb/sr, + 39.00 deg.: X-S = 154.034345 mb/sr, + 40.00 deg.: X-S = 160.560197 mb/sr, + 41.00 deg.: X-S = 163.319319 mb/sr, + 42.00 deg.: X-S = 161.661881 mb/sr, + 43.00 deg.: X-S = 155.636648 mb/sr, + 44.00 deg.: X-S = 145.852065 mb/sr, + 45.00 deg.: X-S = 133.298437 mb/sr, + 46.00 deg.: X-S = 119.159326 mb/sr, + 47.00 deg.: X-S = 104.636057 mb/sr, + 48.00 deg.: X-S = 90.803064 mb/sr, + 49.00 deg.: X-S = 78.504818 mb/sr, + 50.00 deg.: X-S = 68.298282 mb/sr, + 51.00 deg.: X-S = 60.438859 mb/sr, + 52.00 deg.: X-S = 54.903273 mb/sr, + 53.00 deg.: X-S = 51.439912 mb/sr, + 54.00 deg.: X-S = 49.635854 mb/sr, + 55.00 deg.: X-S = 48.989994 mb/sr, + 56.00 deg.: X-S = 48.982988 mb/sr, + 57.00 deg.: X-S = 49.136844 mb/sr, + 58.00 deg.: X-S = 49.059448 mb/sr, + 59.00 deg.: X-S = 48.471870 mb/sr, + 60.00 deg.: X-S = 47.218542 mb/sr, + 61.00 deg.: X-S = 45.262263 mb/sr, + 62.00 deg.: X-S = 42.667250 mb/sr, + 63.00 deg.: X-S = 39.574162 mb/sr, + 64.00 deg.: X-S = 36.171168 mb/sr, + 65.00 deg.: X-S = 32.664827 mb/sr, + 66.00 deg.: X-S = 29.253893 mb/sr, + 67.00 deg.: X-S = 26.108328 mb/sr, + 68.00 deg.: X-S = 23.354834 mb/sr, + 69.00 deg.: X-S = 21.069361 mb/sr, + 70.00 deg.: X-S = 19.276210 mb/sr, + 71.00 deg.: X-S = 17.952763 mb/sr, + 72.00 deg.: X-S = 17.038450 mb/sr, + 73.00 deg.: X-S = 16.446356 mb/sr, + 74.00 deg.: X-S = 16.075855 mb/sr, + 75.00 deg.: X-S = 15.824823 mb/sr, + 76.00 deg.: X-S = 15.600209 mb/sr, + 77.00 deg.: X-S = 15.326144 mb/sr, + 78.00 deg.: X-S = 14.949087 mb/sr, + 79.00 deg.: X-S = 14.439915 mb/sr, + 80.00 deg.: X-S = 13.793157 mb/sr, + 81.00 deg.: X-S = 13.023865 mb/sr, + 82.00 deg.: X-S = 12.162750 mb/sr, + 83.00 deg.: X-S = 11.250351 mb/sr, + 84.00 deg.: X-S = 10.330959 mb/sr, + 85.00 deg.: X-S = 9.446987 mb/sr, + 86.00 deg.: X-S = 8.634330 mb/sr, + 87.00 deg.: X-S = 7.919081 mb/sr, + 88.00 deg.: X-S = 7.315801 mb/sr, + 89.00 deg.: X-S = 6.827326 mb/sr, + 90.00 deg.: X-S = 6.445946 mb/sr, + 91.00 deg.: X-S = 6.155654 mb/sr, + 92.00 deg.: X-S = 5.935056 mb/sr, + 93.00 deg.: X-S = 5.760548 mb/sr, + 94.00 deg.: X-S = 5.609324 mb/sr, + 95.00 deg.: X-S = 5.461888 mb/sr, + 96.00 deg.: X-S = 5.303817 mb/sr, + 97.00 deg.: X-S = 5.126638 mb/sr, + 98.00 deg.: X-S = 4.927829 mb/sr, + 99.00 deg.: X-S = 4.710021 mb/sr, + 100.00 deg.: X-S = 4.479629 mb/sr, + 101.00 deg.: X-S = 4.245143 mb/sr, + 102.00 deg.: X-S = 4.015358 mb/sr, + 103.00 deg.: X-S = 3.797816 mb/sr, + 104.00 deg.: X-S = 3.597649 mb/sr, + 105.00 deg.: X-S = 3.416962 mb/sr, + 106.00 deg.: X-S = 3.254814 mb/sr, + 107.00 deg.: X-S = 3.107723 mb/sr, + 108.00 deg.: X-S = 2.970603 mb/sr, + 109.00 deg.: X-S = 2.837928 mb/sr, + 110.00 deg.: X-S = 2.704927 mb/sr, + 111.00 deg.: X-S = 2.568605 mb/sr, + 112.00 deg.: X-S = 2.428416 mb/sr, + 113.00 deg.: X-S = 2.286485 mb/sr, + 114.00 deg.: X-S = 2.147329 mb/sr, + 115.00 deg.: X-S = 2.017138 mb/sr, + 116.00 deg.: X-S = 1.902715 mb/sr, + 117.00 deg.: X-S = 1.810247 mb/sr, + 118.00 deg.: X-S = 1.744107 mb/sr, + 119.00 deg.: X-S = 1.705884 mb/sr, + 120.00 deg.: X-S = 1.693796 mb/sr, + 121.00 deg.: X-S = 1.702615 mb/sr, + 122.00 deg.: X-S = 1.724116 mb/sr, + 123.00 deg.: X-S = 1.748024 mb/sr, + 124.00 deg.: X-S = 1.763333 mb/sr, + 125.00 deg.: X-S = 1.759818 mb/sr, + 126.00 deg.: X-S = 1.729517 mb/sr, + 127.00 deg.: X-S = 1.667977 mb/sr, + 128.00 deg.: X-S = 1.575067 mb/sr, + 129.00 deg.: X-S = 1.455206 mb/sr, + 130.00 deg.: X-S = 1.316975 mb/sr, + 131.00 deg.: X-S = 1.172115 mb/sr, + 132.00 deg.: X-S = 1.034045 mb/sr, + 133.00 deg.: X-S = 0.916071 mb/sr, + 134.00 deg.: X-S = 0.829553 mb/sr, + 135.00 deg.: X-S = 0.782252 mb/sr, + 136.00 deg.: X-S = 0.777122 mb/sr, + 137.00 deg.: X-S = 0.811720 mb/sr, + 138.00 deg.: X-S = 0.878341 mb/sr, + 139.00 deg.: X-S = 0.964889 mb/sr, + 140.00 deg.: X-S = 1.056394 mb/sr, + 141.00 deg.: X-S = 1.136982 mb/sr, + 142.00 deg.: X-S = 1.192045 mb/sr, + 143.00 deg.: X-S = 1.210323 mb/sr, + 144.00 deg.: X-S = 1.185595 mb/sr, + 145.00 deg.: X-S = 1.117740 mb/sr, + 146.00 deg.: X-S = 1.012986 mb/sr, + 147.00 deg.: X-S = 0.883288 mb/sr, + 148.00 deg.: X-S = 0.744868 mb/sr, + 149.00 deg.: X-S = 0.616103 mb/sr, + 150.00 deg.: X-S = 0.515010 mb/sr, + 151.00 deg.: X-S = 0.456648 mb/sr, + 152.00 deg.: X-S = 0.450818 mb/sr, + 153.00 deg.: X-S = 0.500368 mb/sr, + 154.00 deg.: X-S = 0.600371 mb/sr, + 155.00 deg.: X-S = 0.738355 mb/sr, + 156.00 deg.: X-S = 0.895592 mb/sr, + 157.00 deg.: X-S = 1.049343 mb/sr, + 158.00 deg.: X-S = 1.175819 mb/sr, + 159.00 deg.: X-S = 1.253504 mb/sr, + 160.00 deg.: X-S = 1.266422 mb/sr, + 161.00 deg.: X-S = 1.206923 mb/sr, + 162.00 deg.: X-S = 1.077590 mb/sr, + 163.00 deg.: X-S = 0.891975 mb/sr, + 164.00 deg.: X-S = 0.673984 mb/sr, + 165.00 deg.: X-S = 0.455913 mb/sr, + 166.00 deg.: X-S = 0.275295 mb/sr, + 167.00 deg.: X-S = 0.170854 mb/sr, + 168.00 deg.: X-S = 0.178025 mb/sr, + 169.00 deg.: X-S = 0.324522 mb/sr, + 170.00 deg.: X-S = 0.626505 mb/sr, + 171.00 deg.: X-S = 1.085790 mb/sr, + 172.00 deg.: X-S = 1.688500 mb/sr, + 173.00 deg.: X-S = 2.405347 mb/sr, + 174.00 deg.: X-S = 3.193607 mb/sr, + 175.00 deg.: X-S = 4.000600 mb/sr, + 176.00 deg.: X-S = 4.768372 mb/sr, + 177.00 deg.: X-S = 5.439079 mb/sr, + 178.00 deg.: X-S = 5.960517 mb/sr, + 179.00 deg.: X-S = 6.291213 mb/sr, + 179.99 deg.: X-S = 6.404497 mb/sr, + Integrated 1.8769E+03 mb, over [ 0.000, 180.000] at 49.3500 MeV + Finished all xsecs @ 9.59399994E-03 +1*********************************************************************************************************************************** +************************************************************************************************************************************ + + INCOMING n ; LABORATORY n ENERGY = 100.00 MeV. + + *********************************************************************************************************************************** + *********************************************************************************************************************************** + + + NOTE: Coulomb excitation cut off below 0.000 deg by JTMAX, and below 0.000 deg by Rmax + + Allocate arrays for 1 channels, of which 1 need wfs. + + ######################################################################################################################### + # # + # Total SPIN and PARITY = 0.5 +, 1 channels, 0 in 1st block. Rmin & Coul turning = 0.0 0.000E+00 fm. # + # # + ######################################################################################################################### + + + + C Projectl Target # EX. (L Proj) J + Targ = Jtotal E-cm Re K Re Eta RM*K CH G-REL + 1 n Ni78 # 1: I 0 0.5 0.5 0.0 0.5 98.73418 2.15966 0.00000 129.5798 0.34967 -0.35739 1 1 1 1 1.00000 + S-matrix 1 = 0.12402 -0.28011 for L= 0, J= 0.5 channel on core I = 0.0 from L= 0, Acc. loss = 0.0 D. + Elastic phase shift 1 = -33.059 33.892 deg. for the L = 0, J = 0.5 channel. + 0.5 0.12402024 -0.28011072i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5+/ 0 @ 1 = 6.104 , Out: 0.000# + + + Total SPIN, PARITY = 0.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.0 0.0 + S-matrix 1 = 0.11809 -0.28374 for L= 1, J= 0.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = -33.702 33.799 deg. for the L = 1, J = 0.5 channel. + 0.5 0.11809345 -0.28374492i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5-/ 1 @ 1 = 6.099 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.7 + S-matrix 1 = 0.10518 -0.29192 for L= 2, J= 1.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = -35.093 33.525 deg. for the L = 2, J = 1.5 channel. + 1.5 0.10517577 -0.29192257i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5+/ 2 @ 1 = 12.174 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.7 + S-matrix 1 = 0.11809 -0.28374 for L= 1, J= 1.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = -33.702 33.799 deg. for the L = 1, J = 1.5 channel. + 1.5 0.11809345 -0.28374492i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5-/ 1 @ 1 = 12.199 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.1 + S-matrix 1 = 0.10518 -0.29192 for L= 2, J= 2.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = -35.093 33.525 deg. for the L = 2, J = 2.5 channel. + 2.5 0.10517577 -0.29192257i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5+/ 2 @ 1 = 18.261 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.1 + S-matrix 1 = 0.08543 -0.30233 for L= 3, J= 2.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = -37.111 33.169 deg. for the L = 3, J = 2.5 channel. + 2.5 0.08542853 -0.30233143i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5-/ 3 @ 1 = 18.212 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.6 + S-matrix 1 = 0.05602 -0.31480 for L= 4, J= 3.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -39.955 32.665 deg. for the L = 4, J = 3.5 channel. + 3.5 0.05602004 -0.31480059i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5+/ 4 @ 1 = 24.188 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.6 + S-matrix 1 = 0.08543 -0.30233 for L= 3, J= 3.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = -37.111 33.169 deg. for the L = 3, J = 3.5 channel. + 3.5 0.08542853 -0.30233143i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5-/ 3 @ 1 = 24.283 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.3 2.1 + S-matrix 1 = 0.05602 -0.31480 for L= 4, J= 4.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -39.955 32.665 deg. for the L = 4, J = 4.5 channel. + 4.5 0.05602004 -0.31480059i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5+/ 4 @ 1 = 30.235 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.3 2.1 + S-matrix 1 = 0.01710 -0.32683 for L= 5, J= 4.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -43.503 31.998 deg. for the L = 5, J = 4.5 channel. + 4.5 0.01709738 -0.32683495i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5-/ 5 @ 1 = 30.071 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.4 2.5 + S-matrix 1 = -0.03462 -0.33376 for L= 6, J= 5.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -47.961 31.283 deg. for the L = 6, J = 5.5 channel. + 5.5 -0.03462278 -0.33376220i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5+/ 6 @ 1 = 35.863 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.4 2.5 + S-matrix 1 = 0.01710 -0.32683 for L= 5, J= 5.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -43.503 31.998 deg. for the L = 5, J = 5.5 channel. + 5.5 0.01709738 -0.32683495i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5-/ 5 @ 1 = 36.085 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.5 3.0 + S-matrix 1 = -0.03462 -0.33376 for L= 6, J= 6.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -47.961 31.283 deg. for the L = 6, J = 6.5 channel. + 6.5 -0.03462278 -0.33376220i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5+/ 6 @ 1 = 41.841 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.5 3.0 + S-matrix 1 = -0.10079 -0.33265 for L= 7, J= 6.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -53.428 30.273 deg. for the L = 7, J = 6.5 channel. + 6.5 -0.10079477 -0.33265472i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5-/ 7 @ 1 = 41.453 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 3.5 + S-matrix 1 = -0.17834 -0.31353 for L= 8, J= 7.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -59.816 29.212 deg. for the L = 8, J = 7.5 channel. + 7.5 -0.17833898 -0.31353133i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5+/ 8 @ 1 = 46.874 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 3.5 + S-matrix 1 = -0.10079 -0.33265 for L= 7, J= 7.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -53.428 30.273 deg. for the L = 7, J = 7.5 channel. + 7.5 -0.10079477 -0.33265472i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5-/ 7 @ 1 = 47.375 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 3.9 + S-matrix 1 = -0.17834 -0.31353 for L= 8, J= 8.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -59.816 29.212 deg. for the L = 8, J = 8.5 channel. + 8.5 -0.17833898 -0.31353133i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5+/ 8 @ 1 = 52.733 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 3.9 + S-matrix 1 = -0.26743 -0.26339 for L= 9, J= 8.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -67.718 28.072 deg. for the L = 9, J = 8.5 channel. + 8.5 -0.26742716 -0.26339009i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5-/ 9 @ 1 = 52.080 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.7 4.4 + S-matrix 1 = -0.35979 -0.17141 for L= 10, J= 9.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = -77.263 26.355 deg. for the L = 10, J = 9.5 channel. + 9.5 -0.35978753 -0.17141320i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5+/10 @ 1 = 56.658 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.7 4.4 + S-matrix 1 = -0.26743 -0.26339 for L= 9, J= 9.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -67.718 28.072 deg. for the L = 9, J = 9.5 channel. + 9.5 -0.26742716 -0.26339009i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5-/ 9 @ 1 = 57.866 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.8 4.9 + S-matrix 1 = -0.35979 -0.17141 for L= 10, J= 10.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = -77.263 26.355 deg. for the L = 10, J = 10.5 channel. + 10.5 -0.35978753 -0.17141320i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5+/10 @ 1 = 62.324 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.8 4.9 + S-matrix 1 = -0.42248 -0.02762 for L= 11, J= 10.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = -88.130 24.622 deg. for the L = 11, J = 10.5 channel. + 10.5 -0.42248322 -0.02761938i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5-/11 @ 1 = 60.811 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.9 5.3 + S-matrix 1 = -0.40388 0.17944 for L= 12, J= 11.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 78.022 23.393 deg. for the L = 12, J = 11.5 channel. + 11.5 -0.40387625 0.17944378i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5+/12 @ 1 = 65.041 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.9 5.3 + S-matrix 1 = -0.42248 -0.02762 for L= 11, J= 11.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = -88.130 24.622 deg. for the L = 11, J = 11.5 channel. + 11.5 -0.42248322 -0.02761938i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5-/11 @ 1 = 66.339 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 5.8 + S-matrix 1 = -0.40388 0.17944 for L= 12, J= 12.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 78.022 23.393 deg. for the L = 12, J = 12.5 channel. + 12.5 -0.40387625 0.17944378i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5+/12 @ 1 = 70.461 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 5.8 + S-matrix 1 = -0.22612 0.44044 for L= 13, J= 12.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 58.588 20.139 deg. for the L = 13, J = 12.5 channel. + 12.5 -0.22612331 0.44044499i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5-/13 @ 1 = 66.099 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 6.2 + S-matrix 1 = 0.17069 0.62221 for L= 14, J= 13.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 37.330 12.554 deg. for the L = 14, J = 13.5 channel. + 13.5 0.17069295 0.62220542i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5+/14 @ 1 = 55.044 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 6.2 + S-matrix 1 = -0.22612 0.44044 for L= 13, J= 13.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 58.588 20.139 deg. for the L = 13, J = 13.5 channel. + 13.5 -0.22612331 0.44044499i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5-/13 @ 1 = 71.184 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.1 6.7 + S-matrix 1 = 0.17069 0.62221 for L= 14, J= 14.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 37.330 12.554 deg. for the L = 14, J = 14.5 channel. + 14.5 0.17069295 0.62220542i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5+/14 @ 1 = 58.976 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.1 6.7 + S-matrix 1 = 0.60787 0.55085 for L= 15, J= 14.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 21.091 5.674 deg. for the L = 15, J = 14.5 channel. + 14.5 0.60787022 0.55084531i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5-/15 @ 1 = 33.045 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 7.2 + S-matrix 1 = 0.85628 0.35105 for L= 16, J= 15.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 11.146 2.220 deg. for the L = 16, J = 15.5 channel. + 15.5 0.85627971 0.35104557i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5+/16 @ 1 = 15.471 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 7.2 + S-matrix 1 = 0.60787 0.55085 for L= 15, J= 15.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 21.091 5.674 deg. for the L = 15, J = 15.5 channel. + 15.5 0.60787022 0.55084531i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5-/15 @ 1 = 35.248 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 7.6 + S-matrix 1 = 0.85628 0.35105 for L= 16, J= 16.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 11.146 2.220 deg. for the L = 16, J = 16.5 channel. + 16.5 0.85627971 0.35104557i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5+/16 @ 1 = 16.438 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 7.6 + S-matrix 1 = 0.95144 0.19298 for L= 17, J= 16.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 5.733 0.849 deg. for the L = 17, J = 16.5 channel. + 16.5 0.95144085 0.19298482i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5-/17 @ 1 = 6.586 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 8.1 + S-matrix 1 = 0.98340 0.10075 for L= 18, J= 17.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 2.925 0.330 deg. for the L = 18, J = 17.5 channel. + 17.5 0.98340344 0.10075097i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5+/18 @ 1 = 2.760 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 8.1 + S-matrix 1 = 0.95144 0.19298 for L= 17, J= 17.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 5.733 0.849 deg. for the L = 17, J = 17.5 channel. + 17.5 0.95144085 0.19298482i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5-/17 @ 1 = 6.973 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 8.6 + S-matrix 1 = 0.98340 0.10075 for L= 18, J= 18.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 2.925 0.330 deg. for the L = 18, J = 18.5 channel. + 18.5 0.98340344 0.10075097i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5+/18 @ 1 = 2.914 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 8.6 + S-matrix 1 = 0.99409 0.05171 for L= 19, J= 18.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.489 0.131 deg. for the L = 19, J = 18.5 channel. + 18.5 0.99409196 0.05171224i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5-/19 @ 1 = 1.165 , Out: 0.000# + + + Total SPIN, PARITY = 19.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.5 9.0 + S-matrix 1 = 0.99780 0.02639 for L= 20, J= 19.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.757 0.053 deg. for the L = 20, J = 19.5 channel. + 19.5 0.99780447 0.02638548i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5+/20 @ 1 = 0.497 , Out: 0.000# + + + Total SPIN, PARITY = 19.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.5 9.0 + S-matrix 1 = 0.99409 0.05171 for L= 19, J= 19.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.489 0.131 deg. for the L = 19, J = 19.5 channel. + 19.5 0.99409196 0.05171224i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5-/19 @ 1 = 1.227 , Out: 0.000# + + + Total SPIN, PARITY = 20.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.6 9.5 + S-matrix 1 = 0.99780 0.02639 for L= 20, J= 20.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.757 0.053 deg. for the L = 20, J = 20.5 channel. + 20.5 0.99780447 0.02638548i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5+/20 @ 1 = 0.522 , Out: 0.000# + + + Total SPIN, PARITY = 20.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.6 9.5 + S-matrix 1 = 0.99915 0.01343 for L= 21, J= 20.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.385 0.022 deg. for the L = 21, J = 20.5 channel. + 20.5 0.99915434 0.01343001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5-/21 @ 1 = 0.214 , Out: 0.000# + + + Total SPIN, PARITY = 21.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.7 10.0 + S-matrix 1 = 0.99967 0.00683 for L= 22, J= 21.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.196 0.009 deg. for the L = 22, J = 21.5 channel. + 21.5 0.99966551 0.00682675i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5+/22 @ 1 = 0.092 , Out: 0.000# + + + Total SPIN, PARITY = 21.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.7 10.0 + S-matrix 1 = 0.99915 0.01343 for L= 21, J= 21.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.385 0.022 deg. for the L = 21, J = 21.5 channel. + 21.5 0.99915434 0.01343001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5-/21 @ 1 = 0.224 , Out: 0.000# + + + Total SPIN, PARITY = 22.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 10.4 + S-matrix 1 = 0.99967 0.00683 for L= 22, J= 22.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.196 0.009 deg. for the L = 22, J = 22.5 channel. + 22.5 0.99966551 0.00682675i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5+/22 @ 1 = 0.096 , Out: 0.000# + + + Total SPIN, PARITY = 22.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 10.4 + S-matrix 1 = 0.99987 0.00347 for L= 23, J= 22.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.099 0.004 deg. for the L = 23, J = 22.5 channel. + 22.5 0.99986526 0.00346692i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5-/23 @ 1 = 0.040 , Out: 0.000# + + + Total SPIN, PARITY = 23.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 10.9 + S-matrix 1 = 0.99995 0.00176 for L= 24, J= 23.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.050 0.002 deg. for the L = 24, J = 23.5 channel. + 23.5 0.99994508 0.00175926i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5+/24 @ 1 = 0.017 , Out: 0.000# + + + Total SPIN, PARITY = 23.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 10.9 + S-matrix 1 = 0.99987 0.00347 for L= 23, J= 23.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.099 0.004 deg. for the L = 23, J = 23.5 channel. + 23.5 0.99986526 0.00346692i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5-/23 @ 1 = 0.042 , Out: 0.000# + + + Total SPIN, PARITY = 24.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.9 11.3 + S-matrix 1 = 0.99995 0.00176 for L= 24, J= 24.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.050 0.002 deg. for the L = 24, J = 24.5 channel. + 24.5 0.99994508 0.00175926i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5+/24 @ 1 = 0.018 , Out: 0.000# + + + Total SPIN, PARITY = 24.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.9 11.3 + S-matrix 1 = 0.99998 0.00089 for L= 25, J= 24.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.026 0.001 deg. for the L = 25, J = 24.5 channel. + 24.5 0.99997745 0.00089209i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5-/25 @ 1 = 7.462/, Out: 0.000# + + + Total SPIN, PARITY = 25.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.0 11.8 + S-matrix 1 = 0.99999 0.00045 for L= 26, J= 25.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.013 0.000 deg. for the L = 26, J = 25.5 channel. + 25.5 0.99999070 0.00045207i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5+/26 @ 1 = 3.223/, Out: 0.000# + + + Total SPIN, PARITY = 25.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.0 11.8 + S-matrix 1 = 0.99998 0.00089 for L= 25, J= 25.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.026 0.001 deg. for the L = 25, J = 25.5 channel. + 25.5 0.99997745 0.00089209i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5-/25 @ 1 = 7.760/, Out: 0.000# + + + Total SPIN, PARITY = 26.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 12.3 + S-matrix 1 = 0.99999 0.00045 for L= 26, J= 26.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.013 0.000 deg. for the L = 26, J = 26.5 channel. + 26.5 0.99999070 0.00045207i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5+/26 @ 1 = 3.347/, Out: 0.000# + + + Total SPIN, PARITY = 26.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 12.3 + S-matrix 1 = 1.00000 0.00023 for L= 27, J= 26.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.007 0.000 deg. for the L = 27, J = 26.5 channel. + 26.5 0.99999615 0.00022895i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5-/27 @ 1 = 1.390/, Out: 0.000# + + + Total SPIN, PARITY = 27.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 12.7 + S-matrix 1 = 1.00000 0.00012 for L= 28, J= 27.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.003 0.000 deg. for the L = 28, J = 27.5 channel. + 27.5 0.99999841 0.00011590i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5+/28 @ 1 = 0.598/, Out: 0.000# + + + Total SPIN, PARITY = 27.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 12.7 + S-matrix 1 = 1.00000 0.00023 for L= 27, J= 27.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.007 0.000 deg. for the L = 27, J = 27.5 channel. + 27.5 0.99999615 0.00022895i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5-/27 @ 1 = 1.441/, Out: 0.000# + + + Total SPIN, PARITY = 28.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.2 13.2 + S-matrix 1 = 1.00000 0.00012 for L= 28, J= 28.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.003 0.000 deg. for the L = 28, J = 28.5 channel. + 28.5 0.99999841 0.00011590i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5+/28 @ 1 = 0.620/, Out: 0.000# + + + Total SPIN, PARITY = 28.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.2 13.2 + S-matrix 1 = 1.00000 0.00006 for L= 29, J= 28.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 29, J = 28.5 channel. + 28.5 0.99999934 0.00005864i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5-/29 @ 1 = 0.257/, Out: 0.000# + + + Total SPIN, PARITY = 29.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.3 13.7 + S-matrix 1 = 1.00000 0.00003 for L= 30, J= 29.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 30, J = 29.5 channel. + 29.5 0.99999973 0.00002967i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5+/30 @ 1 = 0.110/, Out: 0.000# + + + Total SPIN, PARITY = 29.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.3 13.7 + S-matrix 1 = 1.00000 0.00006 for L= 29, J= 29.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 29, J = 29.5 channel. + 29.5 0.99999934 0.00005864i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5-/29 @ 1 = 0.266/, Out: 0.000# + + + Total SPIN, PARITY = 30.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.4 14.1 + S-matrix 1 = 1.00000 0.00003 for L= 30, J= 30.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 30, J = 30.5 channel. + 30.5 0.99999973 0.00002967i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5+/30 @ 1 = 0.114/, Out: 0.000# + + + Total SPIN, PARITY = 30.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.4 14.1 + S-matrix 1 = 1.00000 0.00002 for L= 31, J= 30.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 31, J = 30.5 channel. + 30.5 0.99999989 0.00001501i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5-/31 @ 1 = 0.047/, Out: 0.000# + + + Total SPIN, PARITY = 31.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.5 14.6 + S-matrix 1 = 1.00000 0.00001 for L= 32, J= 31.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 32, J = 31.5 channel. + 31.5 0.99999995 0.00000760i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5+/32 @ 1 = 0.020/, Out: 0.000# + + + Total SPIN, PARITY = 31.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.5 14.6 + S-matrix 1 = 1.00000 0.00002 for L= 31, J= 31.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 31, J = 31.5 channel. + 31.5 0.99999989 0.00001501i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5-/31 @ 1 = 0.049/, Out: 0.000# + + + Total SPIN, PARITY = 32.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 15.0 + S-matrix 1 = 1.00000 0.00001 for L= 32, J= 32.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 32, J = 32.5 channel. + 32.5 0.99999995 0.00000760i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5+/32 @ 1 = 0.021/, Out: 0.000# + + + Total SPIN, PARITY = 32.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 15.0 + S-matrix 1 = 1.00000 0.00000 for L= 33, J= 32.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 33, J = 32.5 channel. + 32.5 0.99999998 0.00000385i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5-/33 @ 1 = 8.645#, Out: 0.000# + + + Total SPIN, PARITY = 33.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 15.5 + S-matrix 1 = 1.00000 0.00000 for L= 34, J= 33.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 34, J = 33.5 channel. + 33.5 0.99999999 0.00000196i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5+/34 @ 1 = 3.689#, Out: 0.000# + + + Total SPIN, PARITY = 33.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 15.5 + S-matrix 1 = 1.00000 0.00000 for L= 33, J= 33.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 33, J = 33.5 channel. + 33.5 0.99999998 0.00000385i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5-/33 @ 1 = 8.907#, Out: 0.000# + + + Total SPIN, PARITY = 34.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.7 16.0 + S-matrix 1 = 1.00000 0.00000 for L= 34, J= 34.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 34, J = 34.5 channel. + 34.5 0.99999999 0.00000196i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5+/34 @ 1 = 3.797#, Out: 0.000# + + + Total SPIN, PARITY = 34.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.7 16.0 + S-matrix 1 = 1.00000 0.00000 for L= 35, J= 34.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 35, J = 34.5 channel. + 34.5 1.00000000 0.00000101i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5-/35 @ 1 = 1.572#, Out: 0.000# + + + Total SPIN, PARITY = 35.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.8 16.4 + S-matrix 1 = 1.00000 0.00000 for L= 36, J= 35.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 36, J = 35.5 channel. + 35.5 1.00000000 0.00000052i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5+/36 @ 1 = 0.669#, Out: 0.000# + + + Total SPIN, PARITY = 35.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.8 16.4 + S-matrix 1 = 1.00000 0.00000 for L= 35, J= 35.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 35, J = 35.5 channel. + 35.5 1.00000000 0.00000101i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5-/35 @ 1 = 1.617#, Out: 0.000# + + + Total SPIN, PARITY = 36.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.9 16.9 + S-matrix 1 = 1.00000 0.00000 for L= 36, J= 36.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 36, J = 36.5 channel. + 36.5 1.00000000 0.00000052i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5+/36 @ 1 = 0.688#, Out: 0.000# + + + Total SPIN, PARITY = 36.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.9 16.9 + S-matrix 1 = 1.00000 0.00000 for L= 37, J= 36.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 37, J = 36.5 channel. + 36.5 1.00000000 0.00000028i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5-/37 @ 1 = 0.284#, Out: 0.000# + + + Total SPIN, PARITY = 37.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 17.4 + S-matrix 1 = 1.00000 0.00000 for L= 38, J= 37.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 38, J = 37.5 channel. + 37.5 1.00000000 0.00000016i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5+/38 @ 1 = 0.121#, Out: 0.000# + + + Total SPIN, PARITY = 37.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 17.4 + S-matrix 1 = 1.00000 0.00000 for L= 37, J= 37.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 37, J = 37.5 channel. + 37.5 1.00000000 0.00000028i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5-/37 @ 1 = 0.292#, Out: 0.000# + + + Total SPIN, PARITY = 38.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 17.8 + S-matrix 1 = 1.00000 0.00000 for L= 38, J= 38.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 38, J = 38.5 channel. + 38.5 1.00000000 0.00000016i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5+/38 @ 1 = 0.124#, Out: 0.000# + + + Total SPIN, PARITY = 38.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 17.8 + S-matrix 1 = 1.00000 0.00000 for L= 39, J= 38.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 39, J = 38.5 channel. + 38.5 1.00000000 0.00000009i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5-/39 @ 1 = 0.051#, Out: 0.000# + + + Total SPIN, PARITY = 39.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.1 18.3 + S-matrix 1 = 1.00000 0.00000 for L= 40, J= 39.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 40, J = 39.5 channel. + 39.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5+/40 @ 1 = 0.022#, Out: 0.000# + + + Total SPIN, PARITY = 39.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.1 18.3 + S-matrix 1 = 1.00000 0.00000 for L= 39, J= 39.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 39, J = 39.5 channel. + 39.5 1.00000000 0.00000009i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5-/39 @ 1 = 0.053#, Out: 0.000# + + + Total SPIN, PARITY = 40.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 18.8 + S-matrix 1 = 1.00000 0.00000 for L= 40, J= 40.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 40, J = 40.5 channel. + 40.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5+/40 @ 1 = 0.022#, Out: 0.000# + + + Total SPIN, PARITY = 40.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 18.8 + S-matrix 1 = 1.00000 0.00000 for L= 41, J= 40.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 41, J = 40.5 channel. + 40.5 1.00000000 0.00000004i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5-/41 @ 1 = 0.009#, Out: 0.000# + + + Total SPIN, PARITY = 41.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 19.2 + S-matrix 1 = 1.00000 0.00000 for L= 42, J= 41.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 42, J = 41.5 channel. + 41.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5+/42 @ 1 = 0.004#, Out: 0.000# + + + Total SPIN, PARITY = 41.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 19.2 + S-matrix 1 = 1.00000 0.00000 for L= 41, J= 41.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 41, J = 41.5 channel. + 41.5 1.00000000 0.00000004i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5-/41 @ 1 = 0.009#, Out: 0.000# + + + Total SPIN, PARITY = 42.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 19.7 + S-matrix 1 = 1.00000 0.00000 for L= 42, J= 42.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 42, J = 42.5 channel. + 42.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5+/42 @ 1 = 0.004#, Out: 0.000# + + + Total SPIN, PARITY = 42.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.4 19.7 + S-matrix 1 = 1.00000 0.00000 for L= 43, J= 42.5 channel on core I = 0.0 from L= 43, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 43, J = 42.5 channel. + 42.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5-/43 @ 1 = 0.002#, Out: 0.000# + + + Total SPIN, PARITY = 43.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 20.1 + S-matrix 1 = 1.00000 0.00000 for L= 44, J= 43.5 channel on core I = 0.0 from L= 44, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 44, J = 43.5 channel. + 43.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 43.5+/44 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 43.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.4 20.1 + S-matrix 1 = 1.00000 0.00000 for L= 43, J= 43.5 channel on core I = 0.0 from L= 43, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 43, J = 43.5 channel. + 43.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 43.5-/43 @ 1 = 0.002#, Out: 0.000# + + + Total SPIN, PARITY = 44.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.5 20.6 + S-matrix 1 = 1.00000 0.00000 for L= 44, J= 44.5 channel on core I = 0.0 from L= 44, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 44, J = 44.5 channel. + 44.5 1.00000000 0.00000003i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 44.5+/44 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 44.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.5 20.6 + S-matrix 1 = 1.00000 0.00000 for L= 45, J= 44.5 channel on core I = 0.0 from L= 45, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 45, J = 44.5 channel. + 44.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 44.5-/45 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 45.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.6 21.1 + S-matrix 1 = 1.00000 0.00000 for L= 46, J= 45.5 channel on core I = 0.0 from L= 46, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 46, J = 45.5 channel. + 45.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 45.5+/46 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 45.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.6 21.1 + S-matrix 1 = 1.00000 0.00000 for L= 45, J= 45.5 channel on core I = 0.0 from L= 45, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 45, J = 45.5 channel. + 45.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 45.5-/45 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 46.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.7 21.5 + S-matrix 1 = 1.00000 0.00000 for L= 46, J= 46.5 channel on core I = 0.0 from L= 46, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 46, J = 46.5 channel. + 46.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 46.5+/46 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 46.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.7 21.5 + S-matrix 1 = 1.00000 0.00000 for L= 47, J= 46.5 channel on core I = 0.0 from L= 47, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 47, J = 46.5 channel. + 46.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 46.5-/47 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 47.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.8 22.0 + S-matrix 1 = 1.00000 0.00000 for L= 48, J= 47.5 channel on core I = 0.0 from L= 48, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 48, J = 47.5 channel. + 47.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 47.5+/48 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 47.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.8 22.0 + S-matrix 1 = 1.00000 0.00000 for L= 47, J= 47.5 channel on core I = 0.0 from L= 47, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 47, J = 47.5 channel. + 47.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 47.5-/47 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 48.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.8 22.5 + S-matrix 1 = 1.00000 0.00000 for L= 48, J= 48.5 channel on core I = 0.0 from L= 48, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 48, J = 48.5 channel. + 48.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 48.5+/48 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 48.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.8 22.5 + S-matrix 1 = 1.00000 0.00000 for L= 49, J= 48.5 channel on core I = 0.0 from L= 49, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 49, J = 48.5 channel. + 48.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 48.5-/49 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 49.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.9 22.9 + S-matrix 1 = 1.00000 0.00000 for L= 50, J= 49.5 channel on core I = 0.0 from L= 50, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 50, J = 49.5 channel. + 49.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 49.5+/50 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 49.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.9 22.9 + S-matrix 1 = 1.00000 0.00000 for L= 49, J= 49.5 channel on core I = 0.0 from L= 49, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 49, J = 49.5 channel. + 49.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 49.5-/49 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 50.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.0 23.4 + S-matrix 1 = 1.00000 0.00000 for L= 50, J= 50.5 channel on core I = 0.0 from L= 50, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 50, J = 50.5 channel. + 50.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 50.5+/50 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 50.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.0 23.4 + S-matrix 1 = 1.00000 0.00000 for L= 51, J= 50.5 channel on core I = 0.0 from L= 51, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 51, J = 50.5 channel. + 50.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 50.5-/51 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 51.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.0 23.8 + S-matrix 1 = 1.00000 0.00000 for L= 52, J= 51.5 channel on core I = 0.0 from L= 52, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 52, J = 51.5 channel. + 51.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 51.5+/52 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 51.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.0 23.8 + S-matrix 1 = 1.00000 0.00000 for L= 51, J= 51.5 channel on core I = 0.0 from L= 51, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 51, J = 51.5 channel. + 51.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 51.5-/51 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 52.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.2 24.3 + S-matrix 1 = 1.00000 0.00000 for L= 52, J= 52.5 channel on core I = 0.0 from L= 52, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 52, J = 52.5 channel. + 52.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 52.5+/52 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 52.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.2 24.3 + S-matrix 1 = 1.00000 0.00000 for L= 53, J= 52.5 channel on core I = 0.0 from L= 53, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 53, J = 52.5 channel. + 52.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 52.5-/53 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 53.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.2 24.8 + S-matrix 1 = 1.00000 0.00000 for L= 54, J= 53.5 channel on core I = 0.0 from L= 54, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 54, J = 53.5 channel. + 53.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 53.5+/54 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 53.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.2 24.8 + S-matrix 1 = 1.00000 0.00000 for L= 53, J= 53.5 channel on core I = 0.0 from L= 53, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 53, J = 53.5 channel. + 53.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 53.5-/53 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 54.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.3 25.2 + S-matrix 1 = 1.00000 0.00000 for L= 54, J= 54.5 channel on core I = 0.0 from L= 54, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 54, J = 54.5 channel. + 54.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 54.5+/54 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 54.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.3 25.2 + S-matrix 1 = 1.00000 0.00000 for L= 55, J= 54.5 channel on core I = 0.0 from L= 55, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 55, J = 54.5 channel. + 54.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 54.5-/55 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 55.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.4 25.7 + S-matrix 1 = 1.00000 0.00000 for L= 56, J= 55.5 channel on core I = 0.0 from L= 56, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 56, J = 55.5 channel. + 55.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 55.5+/56 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 55.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.4 25.7 + S-matrix 1 = 1.00000 0.00000 for L= 55, J= 55.5 channel on core I = 0.0 from L= 55, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 55, J = 55.5 channel. + 55.5 1.00000000 0.00000001i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 55.5-/55 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 56.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.5 26.2 + S-matrix 1 = 1.00000 0.00000 for L= 56, J= 56.5 channel on core I = 0.0 from L= 56, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 56, J = 56.5 channel. + 56.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 56.5+/56 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 56.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.5 26.2 + S-matrix 1 = 1.00000 0.00000 for L= 57, J= 56.5 channel on core I = 0.0 from L= 57, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 57, J = 56.5 channel. + 56.5 1.00000000 0.00000002i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 56.5-/57 @ 1 = 0.000#, Out: 0.000# + + Finished all CC sets @ 2.57270001E-02 +0CUMULATIVE REACTION cross section = 1350.54764 = 9.79 = 110.9 +0CUMULATIVE TOTAL cross section = 3784.08180 = 10.11 = 114.6 +0CUMULATIVE ELASTIC cross section = 2433.53416 = 10.29 = 116.6 +0CUMULATIVE outgoing cross sections in partition 1 : 0.00000 +0Cumulative ABSORBTION by Imaginary Potentials = 1350.54764 = 9.79 = 110.9 + Fusion for specific n M-states : 1350.547645 1350.547645 +0CUMULATIVE OUTGOING cross section = 0.00000 + Strength functions * 10^4 for L=0-2 = 0.14514 0.14598 1.45030 (with r0= 1.35 fm). R' = 0.193 fm + To convert to S-factors (MeV.mb = keV.b), multiply by 9.8734E+01 + + + CROSS SECTIONS FOR OUTGOING n & Ni78 in state # 1 with spins & parities 0.5 + & 0.0 +; 0 + + 0.01 deg.: X-S = 4.327799E+04 mb/sr, ++ REAC 1.3505E+03 mb + 1.00 deg.: X-S = 4.242740E+04 mb/sr, + 2.00 deg.: X-S = 3.996269E+04 mb/sr, + 3.00 deg.: X-S = 3.613296E+04 mb/sr, + 4.00 deg.: X-S = 3.131239E+04 mb/sr, + 5.00 deg.: X-S = 2.594704E+04 mb/sr, + 6.00 deg.: X-S = 2.049417E+04 mb/sr, + 7.00 deg.: X-S = 1.536464E+04 mb/sr, + 8.00 deg.: X-S = 1.087743E+04 mb/sr, + 9.00 deg.: X-S = 7232.558438 mb/sr, + 10.00 deg.: X-S = 4504.594672 mb/sr, + 11.00 deg.: X-S = 2655.290134 mb/sr, + 12.00 deg.: X-S = 1560.435843 mb/sr, + 13.00 deg.: X-S = 1044.412282 mb/sr, + 14.00 deg.: X-S = 915.478129 mb/sr, + 15.00 deg.: X-S = 995.917321 mb/sr, + 16.00 deg.: X-S = 1143.139973 mb/sr, + 17.00 deg.: X-S = 1260.192748 mb/sr, + 18.00 deg.: X-S = 1296.333961 mb/sr, + 19.00 deg.: X-S = 1239.960175 mb/sr, + 20.00 deg.: X-S = 1107.023915 mb/sr, + 21.00 deg.: X-S = 928.150902 mb/sr, + 22.00 deg.: X-S = 737.107825 mb/sr, + 23.00 deg.: X-S = 562.341462 mb/sr, + 24.00 deg.: X-S = 422.279177 mb/sr, + 25.00 deg.: X-S = 324.179153 mb/sr, + 26.00 deg.: X-S = 265.693636 mb/sr, + 27.00 deg.: X-S = 238.014385 mb/sr, + 28.00 deg.: X-S = 229.479348 mb/sr, + 29.00 deg.: X-S = 228.750541 mb/sr, + 30.00 deg.: X-S = 227.019017 mb/sr, + 31.00 deg.: X-S = 219.051802 mb/sr, + 32.00 deg.: X-S = 203.190756 mb/sr, + 33.00 deg.: X-S = 180.601726 mb/sr, + 34.00 deg.: X-S = 154.144990 mb/sr, + 35.00 deg.: X-S = 127.212568 mb/sr, + 36.00 deg.: X-S = 102.787292 mb/sr, + 37.00 deg.: X-S = 82.859998 mb/sr, + 38.00 deg.: X-S = 68.227423 mb/sr, + 39.00 deg.: X-S = 58.606851 mb/sr, + 40.00 deg.: X-S = 52.954665 mb/sr, + 41.00 deg.: X-S = 49.864475 mb/sr, + 42.00 deg.: X-S = 47.938207 mb/sr, + 43.00 deg.: X-S = 46.058700 mb/sr, + 44.00 deg.: X-S = 43.532687 mb/sr, + 45.00 deg.: X-S = 40.108749 mb/sr, + 46.00 deg.: X-S = 35.899762 mb/sr, + 47.00 deg.: X-S = 31.251336 mb/sr, + 48.00 deg.: X-S = 26.597775 mb/sr, + 49.00 deg.: X-S = 22.338601 mb/sr, + 50.00 deg.: X-S = 18.755595 mb/sr, + 51.00 deg.: X-S = 15.976684 mb/sr, + 52.00 deg.: X-S = 13.981750 mb/sr, + 53.00 deg.: X-S = 12.638135 mb/sr, + 54.00 deg.: X-S = 11.750832 mb/sr, + 55.00 deg.: X-S = 11.113281 mb/sr, + 56.00 deg.: X-S = 10.548250 mb/sr, + 57.00 deg.: X-S = 9.933035 mb/sr, + 58.00 deg.: X-S = 9.207826 mb/sr, + 59.00 deg.: X-S = 8.369783 mb/sr, + 60.00 deg.: X-S = 7.457531 mb/sr, + 61.00 deg.: X-S = 6.531519 mb/sr, + 62.00 deg.: X-S = 5.655102 mb/sr, + 63.00 deg.: X-S = 4.879851 mb/sr, + 64.00 deg.: X-S = 4.236892 mb/sr, + 65.00 deg.: X-S = 3.734447 mb/sr, + 66.00 deg.: X-S = 3.360536 mb/sr, + 67.00 deg.: X-S = 3.089019 mb/sr, + 68.00 deg.: X-S = 2.887041 mb/sr, + 69.00 deg.: X-S = 2.722074 mb/sr, + 70.00 deg.: X-S = 2.567341 mb/sr, + 71.00 deg.: X-S = 2.404960 mb/sr, + 72.00 deg.: X-S = 2.226766 mb/sr, + 73.00 deg.: X-S = 2.033188 mb/sr, + 74.00 deg.: X-S = 1.830854 mb/sr, + 75.00 deg.: X-S = 1.629644 mb/sr, + 76.00 deg.: X-S = 1.439859 mb/sr, + 77.00 deg.: X-S = 1.269993 mb/sr, + 78.00 deg.: X-S = 1.125354 mb/sr, + 79.00 deg.: X-S = 1.007593 mb/sr, + 80.00 deg.: X-S = 0.915011 mb/sr, + 81.00 deg.: X-S = 0.843408 mb/sr, + 82.00 deg.: X-S = 0.787198 mb/sr, + 83.00 deg.: X-S = 0.740534 mb/sr, + 84.00 deg.: X-S = 0.698254 mb/sr, + 85.00 deg.: X-S = 0.656503 mb/sr, + 86.00 deg.: X-S = 0.613022 mb/sr, + 87.00 deg.: X-S = 0.567104 mb/sr, + 88.00 deg.: X-S = 0.519320 mb/sr, + 89.00 deg.: X-S = 0.471090 mb/sr, + 90.00 deg.: X-S = 0.424222 mb/sr, + 91.00 deg.: X-S = 0.380484 mb/sr, + 92.00 deg.: X-S = 0.341278 mb/sr, + 93.00 deg.: X-S = 0.307452 mb/sr, + 94.00 deg.: X-S = 0.279231 mb/sr, + 95.00 deg.: X-S = 0.256270 mb/sr, + 96.00 deg.: X-S = 0.237786 mb/sr, + 97.00 deg.: X-S = 0.222730 mb/sr, + 98.00 deg.: X-S = 0.209971 mb/sr, + 99.00 deg.: X-S = 0.198459 mb/sr, + 100.00 deg.: X-S = 0.187347 mb/sr, + 101.00 deg.: X-S = 0.176063 mb/sr, + 102.00 deg.: X-S = 0.164329 mb/sr, + 103.00 deg.: X-S = 0.152139 mb/sr, + 104.00 deg.: X-S = 0.139705 mb/sr, + 105.00 deg.: X-S = 0.127373 mb/sr, + 106.00 deg.: X-S = 0.115547 mb/sr, + 107.00 deg.: X-S = 0.104604 mb/sr, + 108.00 deg.: X-S = 0.094838 mb/sr, + 109.00 deg.: X-S = 0.086417 mb/sr, + 110.00 deg.: X-S = 0.079369 mb/sr, + 111.00 deg.: X-S = 0.073591 mb/sr, + 112.00 deg.: X-S = 0.068873 mb/sr, + 113.00 deg.: X-S = 0.064946 mb/sr, + 114.00 deg.: X-S = 0.061519 mb/sr, + 115.00 deg.: X-S = 0.058330 mb/sr, + 116.00 deg.: X-S = 0.055175 mb/sr, + 117.00 deg.: X-S = 0.051929 mb/sr, + 118.00 deg.: X-S = 0.048551 mb/sr, + 119.00 deg.: X-S = 0.045073 mb/sr, + 120.00 deg.: X-S = 0.041576 mb/sr, + 121.00 deg.: X-S = 0.038169 mb/sr, + 122.00 deg.: X-S = 0.034954 mb/sr, + 123.00 deg.: X-S = 0.032011 mb/sr, + 124.00 deg.: X-S = 0.029380 mb/sr, + 125.00 deg.: X-S = 0.027062 mb/sr, + 126.00 deg.: X-S = 0.025026 mb/sr, + 127.00 deg.: X-S = 0.023222 mb/sr, + 128.00 deg.: X-S = 0.021595 mb/sr, + 129.00 deg.: X-S = 0.020103 mb/sr, + 130.00 deg.: X-S = 0.018723 mb/sr, + 131.00 deg.: X-S = 0.017453 mb/sr, + 132.00 deg.: X-S = 0.016304 mb/sr, + 133.00 deg.: X-S = 0.015293 mb/sr, + 134.00 deg.: X-S = 0.014426 mb/sr, + 135.00 deg.: X-S = 0.013693 mb/sr, + 136.00 deg.: X-S = 0.013061 mb/sr, + 137.00 deg.: X-S = 0.012478 mb/sr, + 138.00 deg.: X-S = 0.011882 mb/sr, + 139.00 deg.: X-S = 0.011216 mb/sr, + 140.00 deg.: X-S = 0.010441 mb/sr, + 141.00 deg.: X-S = 0.009553 mb/sr, + 142.00 deg.: X-S = 0.008581 mb/sr, + 143.00 deg.: X-S = 0.007589 mb/sr, + 144.00 deg.: X-S = 0.006660 mb/sr, + 145.00 deg.: X-S = 0.005880 mb/sr, + 146.00 deg.: X-S = 0.005316 mb/sr, + 147.00 deg.: X-S = 0.004998 mb/sr, + 148.00 deg.: X-S = 0.004913 mb/sr, + 149.00 deg.: X-S = 0.005001 mb/sr, + 150.00 deg.: X-S = 0.005167 mb/sr, + 151.00 deg.: X-S = 0.005304 mb/sr, + 152.00 deg.: X-S = 0.005316 mb/sr, + 153.00 deg.: X-S = 0.005138 mb/sr, + 154.00 deg.: X-S = 0.004757 mb/sr, + 155.00 deg.: X-S = 0.004216 mb/sr, + 156.00 deg.: X-S = 0.003603 mb/sr, + 157.00 deg.: X-S = 0.003032 mb/sr, + 158.00 deg.: X-S = 0.002619 mb/sr, + 159.00 deg.: X-S = 0.002444 mb/sr, + 160.00 deg.: X-S = 0.002537 mb/sr, + 161.00 deg.: X-S = 0.002862 mb/sr, + 162.00 deg.: X-S = 0.003319 mb/sr, + 163.00 deg.: X-S = 0.003769 mb/sr, + 164.00 deg.: X-S = 0.004060 mb/sr, + 165.00 deg.: X-S = 0.004071 mb/sr, + 166.00 deg.: X-S = 0.003742 mb/sr, + 167.00 deg.: X-S = 0.003102 mb/sr, + 168.00 deg.: X-S = 0.002270 mb/sr, + 169.00 deg.: X-S = 0.001446 mb/sr, + 170.00 deg.: X-S = 0.000873 mb/sr, + 171.00 deg.: X-S = 0.000795 mb/sr, + 172.00 deg.: X-S = 0.001399 mb/sr, + 173.00 deg.: X-S = 0.002773 mb/sr, + 174.00 deg.: X-S = 0.004881 mb/sr, + 175.00 deg.: X-S = 0.007547 mb/sr, + 176.00 deg.: X-S = 0.010482 mb/sr, + 177.00 deg.: X-S = 0.013325 mb/sr, + 178.00 deg.: X-S = 0.015697 mb/sr, + 179.00 deg.: X-S = 0.017270 mb/sr, + 179.99 deg.: X-S = 0.017821 mb/sr, + Integrated 2.4274E+03 mb, over [ 0.000, 180.000] at 100.0000 MeV + Finished all xsecs @ 3.11639998E-02 +1*********************************************************************************************************************************** +************************************************************************************************************************************ + + INCOMING n ; LABORATORY n ENERGY = 200.00 MeV. + + *********************************************************************************************************************************** + *********************************************************************************************************************************** + + + NOTE: Coulomb excitation cut off below 0.000 deg by JTMAX, and below 0.000 deg by Rmax + + Allocate arrays for 1 channels, of which 1 need wfs. + + ######################################################################################################################### + # # + # Total SPIN and PARITY = 0.5 +, 1 channels, 0 in 1st block. Rmin & Coul turning = 0.0 0.000E+00 fm. # + # # + ######################################################################################################################### + + + + C Projectl Target # EX. (L Proj) J + Targ = Jtotal E-cm Re K Re Eta RM*K CH G-REL + 1 n Ni78 # 1: I 0 0.5 0.5 0.0 0.5 197.46835 3.05422 0.00000 183.2535 -0.43148 0.25263 1 1 1 1 1.00000 + S-matrix 1 = -0.33135 -0.23598 for L= 0, J= 0.5 channel on core I = 0.0 from L= 0, Acc. loss = 0.0 D. + Elastic phase shift 1 = -72.272 25.768 deg. for the L = 0, J = 0.5 channel. + 0.5 -0.33135199 -0.23597620i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5+/ 0 @ 1 = 2.811 , Out: 0.000# + + + Total SPIN, PARITY = 0.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.0 0.0 + S-matrix 1 = -0.33419 -0.23336 for L= 1, J= 0.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = -72.537 25.710 deg. for the L = 1, J = 0.5 channel. + 0.5 -0.33419245 -0.23336356i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 0.5-/ 1 @ 1 = 2.808 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.5 + S-matrix 1 = -0.33997 -0.22777 for L= 2, J= 1.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = -73.089 25.597 deg. for the L = 2, J = 1.5 channel. + 1.5 -0.33996659 -0.22777405i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5+/ 2 @ 1 = 5.608 , Out: 0.000# + + + Total SPIN, PARITY = 1.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.1 0.5 + S-matrix 1 = -0.33419 -0.23336 for L= 1, J= 1.5 channel on core I = 0.0 from L= 1, Acc. loss = 0.0 D. + Elastic phase shift 1 = -72.537 25.710 deg. for the L = 1, J = 1.5 channel. + 1.5 -0.33419245 -0.23336356i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 1.5-/ 1 @ 1 = 5.617 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 0.8 + S-matrix 1 = -0.33997 -0.22777 for L= 2, J= 2.5 channel on core I = 0.0 from L= 2, Acc. loss = 0.0 D. + Elastic phase shift 1 = -73.089 25.597 deg. for the L = 2, J = 2.5 channel. + 2.5 -0.33996659 -0.22777405i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5+/ 2 @ 1 = 8.412 , Out: 0.000# + + + Total SPIN, PARITY = 2.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 0.8 + S-matrix 1 = -0.34840 -0.21930 for L= 3, J= 2.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = -73.906 25.426 deg. for the L = 3, J = 2.5 channel. + 2.5 -0.34839704 -0.21929985i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 2.5-/ 3 @ 1 = 8.391 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.1 + S-matrix 1 = -0.35944 -0.20737 for L= 4, J= 3.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -75.009 25.197 deg. for the L = 4, J = 3.5 channel. + 3.5 -0.35944328 -0.20737405i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5+/ 4 @ 1 = 11.151 , Out: 0.000# + + + Total SPIN, PARITY = 3.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.2 1.1 + S-matrix 1 = -0.34840 -0.21930 for L= 3, J= 3.5 channel on core I = 0.0 from L= 3, Acc. loss = 0.0 D. + Elastic phase shift 1 = -73.906 25.426 deg. for the L = 3, J = 3.5 channel. + 3.5 -0.34839704 -0.21929985i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 3.5-/ 3 @ 1 = 11.188 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.3 1.5 + S-matrix 1 = -0.35944 -0.20737 for L= 4, J= 4.5 channel on core I = 0.0 from L= 4, Acc. loss = 0.0 D. + Elastic phase shift 1 = -75.009 25.197 deg. for the L = 4, J = 4.5 channel. + 4.5 -0.35944328 -0.20737405i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5+/ 4 @ 1 = 13.939 , Out: 0.000# + + + Total SPIN, PARITY = 4.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.3 1.5 + S-matrix 1 = -0.37291 -0.19147 for L= 5, J= 4.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -76.411 24.908 deg. for the L = 5, J = 4.5 channel. + 4.5 -0.37290507 -0.19146822i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 4.5-/ 5 @ 1 = 13.880 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.4 1.8 + S-matrix 1 = -0.38842 -0.17099 for L= 6, J= 5.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -78.120 24.554 deg. for the L = 6, J = 5.5 channel. + 5.5 -0.38841924 -0.17099111i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5+/ 6 @ 1 = 16.567 , Out: 0.000# + + + Total SPIN, PARITY = 5.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.4 1.8 + S-matrix 1 = -0.37291 -0.19147 for L= 5, J= 5.5 channel on core I = 0.0 from L= 5, Acc. loss = 0.0 D. + Elastic phase shift 1 = -76.411 24.908 deg. for the L = 5, J = 5.5 channel. + 5.5 -0.37290507 -0.19146822i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 5.5-/ 5 @ 1 = 16.656 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.5 2.1 + S-matrix 1 = -0.38842 -0.17099 for L= 6, J= 6.5 channel on core I = 0.0 from L= 6, Acc. loss = 0.0 D. + Elastic phase shift 1 = -78.120 24.554 deg. for the L = 6, J = 6.5 channel. + 6.5 -0.38841924 -0.17099111i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5+/ 6 @ 1 = 19.329 , Out: 0.000# + + + Total SPIN, PARITY = 6.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.5 2.1 + S-matrix 1 = -0.40542 -0.14502 for L= 7, J= 6.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -80.159 24.140 deg. for the L = 7, J = 6.5 channel. + 6.5 -0.40541549 -0.14501975i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 6.5-/ 7 @ 1 = 19.204 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 2.5 + S-matrix 1 = -0.42325 -0.11259 for L= 8, J= 7.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -82.552 23.652 deg. for the L = 8, J = 7.5 channel. + 7.5 -0.42325403 -0.11259434i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5+/ 8 @ 1 = 21.774 , Out: 0.000# + + + Total SPIN, PARITY = 7.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 2.5 + S-matrix 1 = -0.40542 -0.14502 for L= 7, J= 7.5 channel on core I = 0.0 from L= 7, Acc. loss = 0.0 D. + Elastic phase shift 1 = -80.159 24.140 deg. for the L = 7, J = 7.5 channel. + 7.5 -0.40541549 -0.14501975i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 7.5-/ 7 @ 1 = 21.948 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.6 2.8 + S-matrix 1 = -0.42325 -0.11259 for L= 8, J= 8.5 channel on core I = 0.0 from L= 8, Acc. loss = 0.0 D. + Elastic phase shift 1 = -82.552 23.652 deg. for the L = 8, J = 8.5 channel. + 8.5 -0.42325403 -0.11259434i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5+/ 8 @ 1 = 24.496 , Out: 0.000# + + + Total SPIN, PARITY = 8.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.6 2.8 + S-matrix 1 = -0.44062 -0.07258 for L= 9, J= 8.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -85.323 23.096 deg. for the L = 9, J = 8.5 channel. + 8.5 -0.44061732 -0.07258297i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 8.5-/ 9 @ 1 = 24.266 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.7 3.1 + S-matrix 1 = -0.45593 -0.02352 for L= 10, J= 9.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = -88.523 22.462 deg. for the L = 10, J = 9.5 channel. + 9.5 -0.45593212 -0.02352358i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5+/10 @ 1 = 26.659 , Out: 0.000# + + + Total SPIN, PARITY = 9.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.7 3.1 + S-matrix 1 = -0.44062 -0.07258 for L= 9, J= 9.5 channel on core I = 0.0 from L= 9, Acc. loss = 0.0 D. + Elastic phase shift 1 = -85.323 23.096 deg. for the L = 9, J = 9.5 channel. + 9.5 -0.44061732 -0.07258297i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 9.5-/ 9 @ 1 = 26.962 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.8 3.4 + S-matrix 1 = -0.45593 -0.02352 for L= 10, J= 10.5 channel on core I = 0.0 from L= 10, Acc. loss = 0.0 D. + Elastic phase shift 1 = -88.523 22.462 deg. for the L = 10, J = 10.5 channel. + 10.5 -0.45593212 -0.02352358i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5+/10 @ 1 = 29.325 , Out: 0.000# + + + Total SPIN, PARITY = 10.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.8 3.4 + S-matrix 1 = -0.46692 0.03583 for L= 11, J= 10.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = 87.806 21.734 deg. for the L = 11, J = 10.5 channel. + 10.5 -0.46691719 0.03583145i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 10.5-/11 @ 1 = 28.922 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 +, 1 chs, 0 cc. Rmin & Coul turning = 0.9 3.8 + S-matrix 1 = -0.46978 0.10660 for L= 12, J= 11.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 83.608 20.924 deg. for the L = 12, J = 11.5 channel. + 11.5 -0.46978204 0.10660035i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5+/12 @ 1 = 31.035 , Out: 0.000# + + + Total SPIN, PARITY = 11.5 -, 1 chs, 0 cc. Rmin & Coul turning = 0.9 3.8 + S-matrix 1 = -0.46692 0.03583 for L= 11, J= 11.5 channel on core I = 0.0 from L= 11, Acc. loss = 0.0 D. + Elastic phase shift 1 = 87.806 21.734 deg. for the L = 11, J = 11.5 channel. + 11.5 -0.46691719 0.03583145i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 11.5-/11 @ 1 = 31.551 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 4.1 + S-matrix 1 = -0.46978 0.10660 for L= 12, J= 12.5 channel on core I = 0.0 from L= 12, Acc. loss = 0.0 D. + Elastic phase shift 1 = 83.608 20.924 deg. for the L = 12, J = 12.5 channel. + 12.5 -0.46978204 0.10660035i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5+/12 @ 1 = 33.622 , Out: 0.000# + + + Total SPIN, PARITY = 12.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 4.1 + S-matrix 1 = -0.45975 0.18992 for L= 13, J= 12.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 78.777 20.005 deg. for the L = 13, J = 12.5 channel. + 12.5 -0.45974745 0.18991982i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 12.5-/13 @ 1 = 32.948 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.0 4.4 + S-matrix 1 = -0.43053 0.28541 for L= 14, J= 13.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 73.229 18.925 deg. for the L = 14, J = 13.5 channel. + 13.5 -0.43052598 0.28540805i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5+/14 @ 1 = 34.569 , Out: 0.000# + + + Total SPIN, PARITY = 13.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.0 4.4 + S-matrix 1 = -0.45975 0.18992 for L= 13, J= 13.5 channel on core I = 0.0 from L= 13, Acc. loss = 0.0 D. + Elastic phase shift 1 = 78.777 20.005 deg. for the L = 13, J = 13.5 channel. + 13.5 -0.45974745 0.18991982i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 13.5-/13 @ 1 = 35.483 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.1 4.7 + S-matrix 1 = -0.43053 0.28541 for L= 14, J= 14.5 channel on core I = 0.0 from L= 14, Acc. loss = 0.0 D. + Elastic phase shift 1 = 73.229 18.925 deg. for the L = 14, J = 14.5 channel. + 14.5 -0.43052598 0.28540805i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5+/14 @ 1 = 37.039 , Out: 0.000# + + + Total SPIN, PARITY = 14.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.1 4.7 + S-matrix 1 = -0.37296 0.38925 for L= 15, J= 14.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 66.888 17.701 deg. for the L = 15, J = 14.5 channel. + 14.5 -0.37295921 0.38924746i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 14.5-/15 @ 1 = 35.836 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 5.1 + S-matrix 1 = -0.27537 0.49429 for L= 16, J= 15.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 59.561 16.315 deg. for the L = 16, J = 15.5 channel. + 15.5 -0.27536609 0.49428879i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5+/16 @ 1 = 36.634 , Out: 0.000# + + + Total SPIN, PARITY = 15.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 5.1 + S-matrix 1 = -0.37296 0.38925 for L= 15, J= 15.5 channel on core I = 0.0 from L= 15, Acc. loss = 0.0 D. + Elastic phase shift 1 = 66.888 17.701 deg. for the L = 15, J = 15.5 channel. + 15.5 -0.37295921 0.38924746i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 15.5-/15 @ 1 = 38.225 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.2 5.4 + S-matrix 1 = -0.27537 0.49429 for L= 16, J= 16.5 channel on core I = 0.0 from L= 16, Acc. loss = 0.0 D. + Elastic phase shift 1 = 59.561 16.315 deg. for the L = 16, J = 16.5 channel. + 16.5 -0.27536609 0.49428879i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5+/16 @ 1 = 38.923 , Out: 0.000# + + + Total SPIN, PARITY = 16.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.2 5.4 + S-matrix 1 = -0.12545 0.58933 for L= 17, J= 16.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 51.009 14.513 deg. for the L = 17, J = 16.5 channel. + 16.5 -0.12544999 0.58932938i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 16.5-/17 @ 1 = 36.467 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 5.7 + S-matrix 1 = 0.08315 0.65346 for L= 18, J= 17.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 41.374 11.959 deg. for the L = 18, J = 17.5 channel. + 17.5 0.08314823 0.65345853i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5+/18 @ 1 = 34.316 , Out: 0.000# + + + Total SPIN, PARITY = 17.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 5.7 + S-matrix 1 = -0.12545 0.58933 for L= 17, J= 17.5 channel on core I = 0.0 from L= 17, Acc. loss = 0.0 D. + Elastic phase shift 1 = 51.009 14.513 deg. for the L = 17, J = 17.5 channel. + 17.5 -0.12544999 0.58932938i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 17.5-/17 @ 1 = 38.612 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.4 6.1 + S-matrix 1 = 0.08315 0.65346 for L= 18, J= 18.5 channel on core I = 0.0 from L= 18, Acc. loss = 0.0 D. + Elastic phase shift 1 = 41.374 11.959 deg. for the L = 18, J = 18.5 channel. + 18.5 0.08314823 0.65345853i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5+/18 @ 1 = 36.222 , Out: 0.000# + + + Total SPIN, PARITY = 18.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.4 6.1 + S-matrix 1 = 0.33408 0.65599 for L= 19, J= 18.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 31.506 8.775 deg. for the L = 19, J = 18.5 channel. + 18.5 0.33408073 0.65599207i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 18.5-/19 @ 1 = 29.311 , Out: 0.000# + + + Total SPIN, PARITY = 19.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.5 6.4 + S-matrix 1 = 0.57853 0.58126 for L= 20, J= 19.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 22.567 5.682 deg. for the L = 20, J = 19.5 channel. + 19.5 0.57852588 0.58125729i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5+/20 @ 1 = 22.056 , Out: 0.000# + + + Total SPIN, PARITY = 19.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.5 6.4 + S-matrix 1 = 0.33408 0.65599 for L= 19, J= 19.5 channel on core I = 0.0 from L= 19, Acc. loss = 0.0 D. + Elastic phase shift 1 = 31.506 8.775 deg. for the L = 19, J = 19.5 channel. + 19.5 0.33408073 0.65599207i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 19.5-/19 @ 1 = 30.854 , Out: 0.000# + + + Total SPIN, PARITY = 20.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.6 6.7 + S-matrix 1 = 0.57853 0.58126 for L= 20, J= 20.5 channel on core I = 0.0 from L= 20, Acc. loss = 0.0 D. + Elastic phase shift 1 = 22.567 5.682 deg. for the L = 20, J = 20.5 channel. + 20.5 0.57852588 0.58125729i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5+/20 @ 1 = 23.158 , Out: 0.000# + + + Total SPIN, PARITY = 20.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.6 6.7 + S-matrix 1 = 0.76535 0.45494 for L= 21, J= 20.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 15.364 3.327 deg. for the L = 21, J = 20.5 channel. + 20.5 0.76534888 0.45494436i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 20.5-/21 @ 1 = 14.659 , Out: 0.000# + + + Total SPIN, PARITY = 21.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.7 7.0 + S-matrix 1 = 0.88066 0.32339 for L= 22, J= 21.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 10.082 1.829 deg. for the L = 22, J = 21.5 channel. + 21.5 0.88066162 0.32338698i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5+/22 @ 1 = 8.880 , Out: 0.000# + + + Total SPIN, PARITY = 21.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.7 7.0 + S-matrix 1 = 0.76535 0.45494 for L= 21, J= 21.5 channel on core I = 0.0 from L= 21, Acc. loss = 0.0 D. + Elastic phase shift 1 = 15.364 3.327 deg. for the L = 21, J = 21.5 channel. + 21.5 0.76534888 0.45494436i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 21.5-/21 @ 1 = 15.357 , Out: 0.000# + + + Total SPIN, PARITY = 22.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 7.4 + S-matrix 1 = 0.88066 0.32339 for L= 22, J= 22.5 channel on core I = 0.0 from L= 22, Acc. loss = 0.0 D. + Elastic phase shift 1 = 10.082 1.829 deg. for the L = 22, J = 22.5 channel. + 22.5 0.88066162 0.32338698i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5+/22 @ 1 = 9.284 , Out: 0.000# + + + Total SPIN, PARITY = 22.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 7.4 + S-matrix 1 = 0.94212 0.21609 for L= 23, J= 22.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 6.459 0.974 deg. for the L = 23, J = 22.5 channel. + 22.5 0.94211932 0.21608758i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 22.5-/23 @ 1 = 5.090 , Out: 0.000# + + + Total SPIN, PARITY = 23.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.8 7.7 + S-matrix 1 = 0.97235 0.13936 for L= 24, J= 23.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 4.078 0.512 deg. for the L = 24, J = 23.5 channel. + 23.5 0.97234905 0.13935523i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5+/24 @ 1 = 2.838 , Out: 0.000# + + + Total SPIN, PARITY = 23.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.8 7.7 + S-matrix 1 = 0.94212 0.21609 for L= 23, J= 23.5 channel on core I = 0.0 from L= 23, Acc. loss = 0.0 D. + Elastic phase shift 1 = 6.459 0.974 deg. for the L = 23, J = 23.5 channel. + 23.5 0.94211932 0.21608758i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 23.5-/23 @ 1 = 5.312 , Out: 0.000# + + + Total SPIN, PARITY = 24.5 +, 1 chs, 0 cc. Rmin & Coul turning = 1.9 8.0 + S-matrix 1 = 0.97235 0.13936 for L= 24, J= 24.5 channel on core I = 0.0 from L= 24, Acc. loss = 0.0 D. + Elastic phase shift 1 = 4.078 0.512 deg. for the L = 24, J = 24.5 channel. + 24.5 0.97234905 0.13935523i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5+/24 @ 1 = 2.957 , Out: 0.000# + + + Total SPIN, PARITY = 24.5 -, 1 chs, 0 cc. Rmin & Coul turning = 1.9 8.0 + S-matrix 1 = 0.98674 0.08814 for L= 25, J= 24.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 2.552 0.269 deg. for the L = 25, J = 24.5 channel. + 24.5 0.98673762 0.08814054i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 24.5-/25 @ 1 = 1.564 , Out: 0.000# + + + Total SPIN, PARITY = 25.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.0 8.3 + S-matrix 1 = 0.99355 0.05516 for L= 26, J= 25.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.589 0.141 deg. for the L = 26, J = 25.5 channel. + 25.5 0.99355374 0.05515931i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5+/26 @ 1 = 0.859 , Out: 0.000# + + + Total SPIN, PARITY = 25.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.0 8.3 + S-matrix 1 = 0.98674 0.08814 for L= 25, J= 25.5 channel on core I = 0.0 from L= 25, Acc. loss = 0.0 D. + Elastic phase shift 1 = 2.552 0.269 deg. for the L = 25, J = 25.5 channel. + 25.5 0.98673762 0.08814054i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 25.5-/25 @ 1 = 1.627 , Out: 0.000# + + + Total SPIN, PARITY = 26.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 8.7 + S-matrix 1 = 0.99355 0.05516 for L= 26, J= 26.5 channel on core I = 0.0 from L= 26, Acc. loss = 0.0 D. + Elastic phase shift 1 = 1.589 0.141 deg. for the L = 26, J = 26.5 channel. + 26.5 0.99355374 0.05515931i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5+/26 @ 1 = 0.892 , Out: 0.000# + + + Total SPIN, PARITY = 26.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 8.7 + S-matrix 1 = 0.99681 0.03432 for L= 27, J= 26.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.986 0.074 deg. for the L = 27, J = 26.5 channel. + 26.5 0.99681483 0.03431502i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 26.5-/27 @ 1 = 0.471 , Out: 0.000# + + + Total SPIN, PARITY = 27.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.1 9.0 + S-matrix 1 = 0.99840 0.02127 for L= 28, J= 27.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.610 0.039 deg. for the L = 28, J = 27.5 channel. + 27.5 0.99840063 0.02127397i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5+/28 @ 1 = 0.259 , Out: 0.000# + + + Total SPIN, PARITY = 27.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.1 9.0 + S-matrix 1 = 0.99681 0.03432 for L= 27, J= 27.5 channel on core I = 0.0 from L= 27, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.986 0.074 deg. for the L = 27, J = 27.5 channel. + 27.5 0.99681483 0.03431502i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 27.5-/27 @ 1 = 0.489 , Out: 0.000# + + + Total SPIN, PARITY = 28.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.2 9.3 + S-matrix 1 = 0.99840 0.02127 for L= 28, J= 28.5 channel on core I = 0.0 from L= 28, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.610 0.039 deg. for the L = 28, J = 28.5 channel. + 28.5 0.99840063 0.02127397i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5+/28 @ 1 = 0.268 , Out: 0.000# + + + Total SPIN, PARITY = 28.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.2 9.3 + S-matrix 1 = 0.99919 0.01316 for L= 29, J= 28.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.377 0.021 deg. for the L = 29, J = 28.5 channel. + 28.5 0.99918551 0.01316108i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 28.5-/29 @ 1 = 0.142 , Out: 0.000# + + + Total SPIN, PARITY = 29.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.3 9.7 + S-matrix 1 = 0.99958 0.00813 for L= 30, J= 29.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.233 0.011 deg. for the L = 30, J = 29.5 channel. + 29.5 0.99958043 0.00813080i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5+/30 @ 1 = 0.078 , Out: 0.000# + + + Total SPIN, PARITY = 29.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.3 9.7 + S-matrix 1 = 0.99919 0.01316 for L= 29, J= 29.5 channel on core I = 0.0 from L= 29, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.377 0.021 deg. for the L = 29, J = 29.5 channel. + 29.5 0.99918551 0.01316108i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 29.5-/29 @ 1 = 0.147 , Out: 0.000# + + + Total SPIN, PARITY = 30.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.4 10.0 + S-matrix 1 = 0.99958 0.00813 for L= 30, J= 30.5 channel on core I = 0.0 from L= 30, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.233 0.011 deg. for the L = 30, J = 30.5 channel. + 30.5 0.99958043 0.00813080i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5+/30 @ 1 = 0.081 , Out: 0.000# + + + Total SPIN, PARITY = 30.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.4 10.0 + S-matrix 1 = 0.99978 0.00502 for L= 31, J= 30.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.144 0.006 deg. for the L = 31, J = 30.5 channel. + 30.5 0.99978192 0.00501828i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 30.5-/31 @ 1 = 0.043 , Out: 0.000# + + + Total SPIN, PARITY = 31.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.5 10.3 + S-matrix 1 = 0.99989 0.00310 for L= 32, J= 31.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.089 0.003 deg. for the L = 32, J = 31.5 channel. + 31.5 0.99988589 0.00309502i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5+/32 @ 1 = 0.024 , Out: 0.000# + + + Total SPIN, PARITY = 31.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.5 10.3 + S-matrix 1 = 0.99978 0.00502 for L= 31, J= 31.5 channel on core I = 0.0 from L= 31, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.144 0.006 deg. for the L = 31, J = 31.5 channel. + 31.5 0.99978192 0.00501828i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 31.5-/31 @ 1 = 0.044 , Out: 0.000# + + + Total SPIN, PARITY = 32.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 10.6 + S-matrix 1 = 0.99989 0.00310 for L= 32, J= 32.5 channel on core I = 0.0 from L= 32, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.089 0.003 deg. for the L = 32, J = 32.5 channel. + 32.5 0.99988589 0.00309502i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5+/32 @ 1 = 0.024 , Out: 0.000# + + + Total SPIN, PARITY = 32.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 10.6 + S-matrix 1 = 0.99994 0.00191 for L= 33, J= 32.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.055 0.002 deg. for the L = 33, J = 32.5 channel. + 32.5 0.99994000 0.00190775i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 32.5-/33 @ 1 = 0.013 , Out: 0.000# + + + Total SPIN, PARITY = 33.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.6 11.0 + S-matrix 1 = 0.99997 0.00118 for L= 34, J= 33.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.034 0.001 deg. for the L = 34, J = 33.5 channel. + 33.5 0.99996834 0.00117537i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5+/34 @ 1 = 7.092/, Out: 0.000# + + + Total SPIN, PARITY = 33.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.6 11.0 + S-matrix 1 = 0.99994 0.00191 for L= 33, J= 33.5 channel on core I = 0.0 from L= 33, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.055 0.002 deg. for the L = 33, J = 33.5 channel. + 33.5 0.99994000 0.00190775i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 33.5-/33 @ 1 = 0.013 , Out: 0.000# + + + Total SPIN, PARITY = 34.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.7 11.3 + S-matrix 1 = 0.99997 0.00118 for L= 34, J= 34.5 channel on core I = 0.0 from L= 34, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.034 0.001 deg. for the L = 34, J = 34.5 channel. + 34.5 0.99996834 0.00117537i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5+/34 @ 1 = 7.300/, Out: 0.000# + + + Total SPIN, PARITY = 34.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.7 11.3 + S-matrix 1 = 0.99998 0.00072 for L= 35, J= 34.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.021 0.000 deg. for the L = 35, J = 34.5 channel. + 34.5 0.99998325 0.00072385i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 34.5-/35 @ 1 = 3.886/, Out: 0.000# + + + Total SPIN, PARITY = 35.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.8 11.6 + S-matrix 1 = 0.99999 0.00045 for L= 36, J= 35.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.013 0.000 deg. for the L = 36, J = 35.5 channel. + 35.5 0.99999113 0.00044562i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5+/36 @ 1 = 2.127/, Out: 0.000# + + + Total SPIN, PARITY = 35.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.8 11.6 + S-matrix 1 = 0.99998 0.00072 for L= 35, J= 35.5 channel on core I = 0.0 from L= 35, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.021 0.000 deg. for the L = 35, J = 35.5 channel. + 35.5 0.99998325 0.00072385i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 35.5-/35 @ 1 = 3.997/, Out: 0.000# + + + Total SPIN, PARITY = 36.5 +, 1 chs, 0 cc. Rmin & Coul turning = 2.9 11.9 + S-matrix 1 = 0.99999 0.00045 for L= 36, J= 36.5 channel on core I = 0.0 from L= 36, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.013 0.000 deg. for the L = 36, J = 36.5 channel. + 36.5 0.99999113 0.00044562i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5+/36 @ 1 = 2.186/, Out: 0.000# + + + Total SPIN, PARITY = 36.5 -, 1 chs, 0 cc. Rmin & Coul turning = 2.9 11.9 + S-matrix 1 = 1.00000 0.00027 for L= 37, J= 36.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.008 0.000 deg. for the L = 37, J = 36.5 channel. + 36.5 0.99999529 0.00027426i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 36.5-/37 @ 1 = 1.163/, Out: 0.000# + + + Total SPIN, PARITY = 37.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 12.3 + S-matrix 1 = 1.00000 0.00017 for L= 38, J= 37.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.005 0.000 deg. for the L = 38, J = 37.5 channel. + 37.5 0.99999750 0.00016875i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5+/38 @ 1 = 0.636/, Out: 0.000# + + + Total SPIN, PARITY = 37.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 12.3 + S-matrix 1 = 1.00000 0.00027 for L= 37, J= 37.5 channel on core I = 0.0 from L= 37, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.008 0.000 deg. for the L = 37, J = 37.5 channel. + 37.5 0.99999529 0.00027426i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 37.5-/37 @ 1 = 1.195/, Out: 0.000# + + + Total SPIN, PARITY = 38.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.0 12.6 + S-matrix 1 = 1.00000 0.00017 for L= 38, J= 38.5 channel on core I = 0.0 from L= 38, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.005 0.000 deg. for the L = 38, J = 38.5 channel. + 38.5 0.99999750 0.00016875i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5+/38 @ 1 = 0.652/, Out: 0.000# + + + Total SPIN, PARITY = 38.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.0 12.6 + S-matrix 1 = 1.00000 0.00010 for L= 39, J= 38.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.003 0.000 deg. for the L = 39, J = 38.5 channel. + 38.5 0.99999867 0.00010382i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 38.5-/39 @ 1 = 0.347/, Out: 0.000# + + + Total SPIN, PARITY = 39.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.1 12.9 + S-matrix 1 = 1.00000 0.00006 for L= 40, J= 39.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 40, J = 39.5 channel. + 39.5 0.99999930 0.00006386i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5+/40 @ 1 = 0.189/, Out: 0.000# + + + Total SPIN, PARITY = 39.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.1 12.9 + S-matrix 1 = 1.00000 0.00010 for L= 39, J= 39.5 channel on core I = 0.0 from L= 39, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.003 0.000 deg. for the L = 39, J = 39.5 channel. + 39.5 0.99999867 0.00010382i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 39.5-/39 @ 1 = 0.356/, Out: 0.000# + + + Total SPIN, PARITY = 40.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 13.3 + S-matrix 1 = 1.00000 0.00006 for L= 40, J= 40.5 channel on core I = 0.0 from L= 40, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.002 0.000 deg. for the L = 40, J = 40.5 channel. + 40.5 0.99999930 0.00006386i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5+/40 @ 1 = 0.194/, Out: 0.000# + + + Total SPIN, PARITY = 40.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 13.3 + S-matrix 1 = 1.00000 0.00004 for L= 41, J= 40.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 41, J = 40.5 channel. + 40.5 0.99999963 0.00003929i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 40.5-/41 @ 1 = 0.103/, Out: 0.000# + + + Total SPIN, PARITY = 41.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.2 13.6 + S-matrix 1 = 1.00000 0.00002 for L= 42, J= 41.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 42, J = 41.5 channel. + 41.5 0.99999980 0.00002418i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5+/42 @ 1 = 0.056/, Out: 0.000# + + + Total SPIN, PARITY = 41.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.2 13.6 + S-matrix 1 = 1.00000 0.00004 for L= 41, J= 41.5 channel on core I = 0.0 from L= 41, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 41, J = 41.5 channel. + 41.5 0.99999963 0.00003929i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 41.5-/41 @ 1 = 0.106/, Out: 0.000# + + + Total SPIN, PARITY = 42.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 13.9 + S-matrix 1 = 1.00000 0.00002 for L= 42, J= 42.5 channel on core I = 0.0 from L= 42, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.001 0.000 deg. for the L = 42, J = 42.5 channel. + 42.5 0.99999980 0.00002418i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5+/42 @ 1 = 0.057/, Out: 0.000# + + + Total SPIN, PARITY = 42.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.4 13.9 + S-matrix 1 = 1.00000 0.00001 for L= 43, J= 42.5 channel on core I = 0.0 from L= 43, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 43, J = 42.5 channel. + 42.5 0.99999989 0.00001489i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 42.5-/43 @ 1 = 0.031/, Out: 0.000# + + + Total SPIN, PARITY = 43.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.4 14.2 + S-matrix 1 = 1.00000 0.00001 for L= 44, J= 43.5 channel on core I = 0.0 from L= 44, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 44, J = 43.5 channel. + 43.5 0.99999994 0.00000918i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 43.5+/44 @ 1 = 0.017/, Out: 0.000# + + + Total SPIN, PARITY = 43.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.4 14.2 + S-matrix 1 = 1.00000 0.00001 for L= 43, J= 43.5 channel on core I = 0.0 from L= 43, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 43, J = 43.5 channel. + 43.5 0.99999989 0.00001489i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 43.5-/43 @ 1 = 0.031/, Out: 0.000# + + + Total SPIN, PARITY = 44.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.5 14.6 + S-matrix 1 = 1.00000 0.00001 for L= 44, J= 44.5 channel on core I = 0.0 from L= 44, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 44, J = 44.5 channel. + 44.5 0.99999994 0.00000918i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 44.5+/44 @ 1 = 0.017/, Out: 0.000# + + + Total SPIN, PARITY = 44.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.5 14.6 + S-matrix 1 = 1.00000 0.00001 for L= 45, J= 44.5 channel on core I = 0.0 from L= 45, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 45, J = 44.5 channel. + 44.5 0.99999997 0.00000567i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 44.5-/45 @ 1 = 9.013#, Out: 0.000# + + + Total SPIN, PARITY = 45.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.6 14.9 + S-matrix 1 = 1.00000 0.00000 for L= 46, J= 45.5 channel on core I = 0.0 from L= 46, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 46, J = 45.5 channel. + 45.5 0.99999998 0.00000352i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 45.5+/46 @ 1 = 4.892#, Out: 0.000# + + + Total SPIN, PARITY = 45.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.6 14.9 + S-matrix 1 = 1.00000 0.00001 for L= 45, J= 45.5 channel on core I = 0.0 from L= 45, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 45, J = 45.5 channel. + 45.5 0.99999997 0.00000567i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 45.5-/45 @ 1 = 9.213#, Out: 0.000# + + + Total SPIN, PARITY = 46.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.7 15.2 + S-matrix 1 = 1.00000 0.00000 for L= 46, J= 46.5 channel on core I = 0.0 from L= 46, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 46, J = 46.5 channel. + 46.5 0.99999998 0.00000352i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 46.5+/46 @ 1 = 4.998#, Out: 0.000# + + + Total SPIN, PARITY = 46.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.7 15.2 + S-matrix 1 = 1.00000 0.00000 for L= 47, J= 46.5 channel on core I = 0.0 from L= 47, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 47, J = 46.5 channel. + 46.5 0.99999999 0.00000219i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 46.5-/47 @ 1 = 2.653#, Out: 0.000# + + + Total SPIN, PARITY = 47.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.8 15.6 + S-matrix 1 = 1.00000 0.00000 for L= 48, J= 47.5 channel on core I = 0.0 from L= 48, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 48, J = 47.5 channel. + 47.5 1.00000000 0.00000138i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 47.5+/48 @ 1 = 1.438#, Out: 0.000# + + + Total SPIN, PARITY = 47.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.8 15.6 + S-matrix 1 = 1.00000 0.00000 for L= 47, J= 47.5 channel on core I = 0.0 from L= 47, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 47, J = 47.5 channel. + 47.5 0.99999999 0.00000219i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 47.5-/47 @ 1 = 2.709#, Out: 0.000# + + + Total SPIN, PARITY = 48.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.8 15.9 + S-matrix 1 = 1.00000 0.00000 for L= 48, J= 48.5 channel on core I = 0.0 from L= 48, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 48, J = 48.5 channel. + 48.5 1.00000000 0.00000138i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 48.5+/48 @ 1 = 1.468#, Out: 0.000# + + + Total SPIN, PARITY = 48.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.8 15.9 + S-matrix 1 = 1.00000 0.00000 for L= 49, J= 48.5 channel on core I = 0.0 from L= 49, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 49, J = 48.5 channel. + 48.5 1.00000000 0.00000088i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 48.5-/49 @ 1 = 0.779#, Out: 0.000# + + + Total SPIN, PARITY = 49.5 +, 1 chs, 0 cc. Rmin & Coul turning = 3.9 16.2 + S-matrix 1 = 1.00000 0.00000 for L= 50, J= 49.5 channel on core I = 0.0 from L= 50, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 50, J = 49.5 channel. + 49.5 1.00000000 0.00000057i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 49.5+/50 @ 1 = 0.422#, Out: 0.000# + + + Total SPIN, PARITY = 49.5 -, 1 chs, 0 cc. Rmin & Coul turning = 3.9 16.2 + S-matrix 1 = 1.00000 0.00000 for L= 49, J= 49.5 channel on core I = 0.0 from L= 49, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 49, J = 49.5 channel. + 49.5 1.00000000 0.00000088i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 49.5-/49 @ 1 = 0.795#, Out: 0.000# + + + Total SPIN, PARITY = 50.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.0 16.5 + S-matrix 1 = 1.00000 0.00000 for L= 50, J= 50.5 channel on core I = 0.0 from L= 50, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 50, J = 50.5 channel. + 50.5 1.00000000 0.00000057i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 50.5+/50 @ 1 = 0.430#, Out: 0.000# + + + Total SPIN, PARITY = 50.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.0 16.5 + S-matrix 1 = 1.00000 0.00000 for L= 51, J= 50.5 channel on core I = 0.0 from L= 51, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 51, J = 50.5 channel. + 50.5 1.00000000 0.00000038i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 50.5-/51 @ 1 = 0.228#, Out: 0.000# + + + Total SPIN, PARITY = 51.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.0 16.9 + S-matrix 1 = 1.00000 0.00000 for L= 52, J= 51.5 channel on core I = 0.0 from L= 52, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 52, J = 51.5 channel. + 51.5 1.00000000 0.00000026i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 51.5+/52 @ 1 = 0.123#, Out: 0.000# + + + Total SPIN, PARITY = 51.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.0 16.9 + S-matrix 1 = 1.00000 0.00000 for L= 51, J= 51.5 channel on core I = 0.0 from L= 51, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 51, J = 51.5 channel. + 51.5 1.00000000 0.00000038i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 51.5-/51 @ 1 = 0.233#, Out: 0.000# + + + Total SPIN, PARITY = 52.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.2 17.2 + S-matrix 1 = 1.00000 0.00000 for L= 52, J= 52.5 channel on core I = 0.0 from L= 52, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 52, J = 52.5 channel. + 52.5 1.00000000 0.00000026i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 52.5+/52 @ 1 = 0.126#, Out: 0.000# + + + Total SPIN, PARITY = 52.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.2 17.2 + S-matrix 1 = 1.00000 0.00000 for L= 53, J= 52.5 channel on core I = 0.0 from L= 53, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 53, J = 52.5 channel. + 52.5 1.00000000 0.00000019i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 52.5-/53 @ 1 = 0.067#, Out: 0.000# + + + Total SPIN, PARITY = 53.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.2 17.5 + S-matrix 1 = 1.00000 0.00000 for L= 54, J= 53.5 channel on core I = 0.0 from L= 54, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 54, J = 53.5 channel. + 53.5 1.00000000 0.00000015i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 53.5+/54 @ 1 = 0.036#, Out: 0.000# + + + Total SPIN, PARITY = 53.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.2 17.5 + S-matrix 1 = 1.00000 0.00000 for L= 53, J= 53.5 channel on core I = 0.0 from L= 53, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 53, J = 53.5 channel. + 53.5 1.00000000 0.00000019i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 53.5-/53 @ 1 = 0.068#, Out: 0.000# + + + Total SPIN, PARITY = 54.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.3 17.8 + S-matrix 1 = 1.00000 0.00000 for L= 54, J= 54.5 channel on core I = 0.0 from L= 54, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 54, J = 54.5 channel. + 54.5 1.00000000 0.00000015i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 54.5+/54 @ 1 = 0.037#, Out: 0.000# + + + Total SPIN, PARITY = 54.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.3 17.8 + S-matrix 1 = 1.00000 0.00000 for L= 55, J= 54.5 channel on core I = 0.0 from L= 55, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 55, J = 54.5 channel. + 54.5 1.00000000 0.00000012i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 54.5-/55 @ 1 = 0.019#, Out: 0.000# + + + Total SPIN, PARITY = 55.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.4 18.2 + S-matrix 1 = 1.00000 0.00000 for L= 56, J= 55.5 channel on core I = 0.0 from L= 56, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 56, J = 55.5 channel. + 55.5 1.00000000 0.00000010i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 55.5+/56 @ 1 = 0.010#, Out: 0.000# + + + Total SPIN, PARITY = 55.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.4 18.2 + S-matrix 1 = 1.00000 0.00000 for L= 55, J= 55.5 channel on core I = 0.0 from L= 55, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 55, J = 55.5 channel. + 55.5 1.00000000 0.00000012i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 55.5-/55 @ 1 = 0.020#, Out: 0.000# + + + Total SPIN, PARITY = 56.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.5 18.5 + S-matrix 1 = 1.00000 0.00000 for L= 56, J= 56.5 channel on core I = 0.0 from L= 56, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 56, J = 56.5 channel. + 56.5 1.00000000 0.00000010i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 56.5+/56 @ 1 = 0.011#, Out: 0.000# + + + Total SPIN, PARITY = 56.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.5 18.5 + S-matrix 1 = 1.00000 0.00000 for L= 57, J= 56.5 channel on core I = 0.0 from L= 57, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 57, J = 56.5 channel. + 56.5 1.00000000 0.00000009i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 56.5-/57 @ 1 = 0.006#, Out: 0.000# + + + Total SPIN, PARITY = 57.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.5 18.8 + S-matrix 1 = 1.00000 0.00000 for L= 58, J= 57.5 channel on core I = 0.0 from L= 58, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 58, J = 57.5 channel. + 57.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 57.5+/58 @ 1 = 0.003#, Out: 0.000# + + + Total SPIN, PARITY = 57.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.5 18.8 + S-matrix 1 = 1.00000 0.00000 for L= 57, J= 57.5 channel on core I = 0.0 from L= 57, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 57, J = 57.5 channel. + 57.5 1.00000000 0.00000009i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 57.5-/57 @ 1 = 0.006#, Out: 0.000# + + + Total SPIN, PARITY = 58.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.6 19.2 + S-matrix 1 = 1.00000 0.00000 for L= 58, J= 58.5 channel on core I = 0.0 from L= 58, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 58, J = 58.5 channel. + 58.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 58.5+/58 @ 1 = 0.003#, Out: 0.000# + + + Total SPIN, PARITY = 58.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.6 19.2 + S-matrix 1 = 1.00000 0.00000 for L= 59, J= 58.5 channel on core I = 0.0 from L= 59, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 59, J = 58.5 channel. + 58.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 58.5-/59 @ 1 = 0.002#, Out: 0.000# + + + Total SPIN, PARITY = 59.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.7 19.5 + S-matrix 1 = 1.00000 0.00000 for L= 60, J= 59.5 channel on core I = 0.0 from L= 60, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 60, J = 59.5 channel. + 59.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 59.5+/60 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 59.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.7 19.5 + S-matrix 1 = 1.00000 0.00000 for L= 59, J= 59.5 channel on core I = 0.0 from L= 59, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 59, J = 59.5 channel. + 59.5 1.00000000 0.00000008i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 59.5-/59 @ 1 = 0.002#, Out: 0.000# + + + Total SPIN, PARITY = 60.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.8 19.8 + S-matrix 1 = 1.00000 0.00000 for L= 60, J= 60.5 channel on core I = 0.0 from L= 60, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 60, J = 60.5 channel. + 60.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 60.5+/60 @ 1 = 0.001#, Out: 0.000# + + + Total SPIN, PARITY = 60.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.8 19.8 + S-matrix 1 = 1.00000 0.00000 for L= 61, J= 60.5 channel on core I = 0.0 from L= 61, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 61, J = 60.5 channel. + 60.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 60.5-/61 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 61.5 +, 1 chs, 0 cc. Rmin & Coul turning = 4.9 20.1 + S-matrix 1 = 1.00000 0.00000 for L= 62, J= 61.5 channel on core I = 0.0 from L= 62, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 62, J = 61.5 channel. + 61.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 61.5+/62 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 61.5 -, 1 chs, 0 cc. Rmin & Coul turning = 4.9 20.1 + S-matrix 1 = 1.00000 0.00000 for L= 61, J= 61.5 channel on core I = 0.0 from L= 61, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 61, J = 61.5 channel. + 61.5 1.00000000 0.00000007i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 61.5-/61 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 62.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.0 20.5 + S-matrix 1 = 1.00000 0.00000 for L= 62, J= 62.5 channel on core I = 0.0 from L= 62, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 62, J = 62.5 channel. + 62.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 62.5+/62 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 62.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.0 20.5 + S-matrix 1 = 1.00000 0.00000 for L= 63, J= 62.5 channel on core I = 0.0 from L= 63, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 63, J = 62.5 channel. + 62.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 62.5-/63 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 63.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.0 20.8 + S-matrix 1 = 1.00000 0.00000 for L= 64, J= 63.5 channel on core I = 0.0 from L= 64, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 64, J = 63.5 channel. + 63.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 63.5+/64 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 63.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.0 20.8 + S-matrix 1 = 1.00000 0.00000 for L= 63, J= 63.5 channel on core I = 0.0 from L= 63, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 63, J = 63.5 channel. + 63.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 63.5-/63 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 64.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.1 21.1 + S-matrix 1 = 1.00000 0.00000 for L= 64, J= 64.5 channel on core I = 0.0 from L= 64, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 64, J = 64.5 channel. + 64.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 64.5+/64 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 64.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.1 21.1 + S-matrix 1 = 1.00000 0.00000 for L= 65, J= 64.5 channel on core I = 0.0 from L= 65, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 65, J = 64.5 channel. + 64.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 64.5-/65 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 65.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.2 21.4 + S-matrix 1 = 1.00000 0.00000 for L= 66, J= 65.5 channel on core I = 0.0 from L= 66, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 66, J = 65.5 channel. + 65.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 65.5+/66 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 65.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.2 21.4 + S-matrix 1 = 1.00000 0.00000 for L= 65, J= 65.5 channel on core I = 0.0 from L= 65, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 65, J = 65.5 channel. + 65.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 65.5-/65 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 66.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.2 21.8 + S-matrix 1 = 1.00000 0.00000 for L= 66, J= 66.5 channel on core I = 0.0 from L= 66, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 66, J = 66.5 channel. + 66.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 66.5+/66 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 66.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.2 21.8 + S-matrix 1 = 1.00000 0.00000 for L= 67, J= 66.5 channel on core I = 0.0 from L= 67, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 67, J = 66.5 channel. + 66.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 66.5-/67 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 67.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.4 22.1 + S-matrix 1 = 1.00000 0.00000 for L= 68, J= 67.5 channel on core I = 0.0 from L= 68, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 68, J = 67.5 channel. + 67.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 67.5+/68 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 67.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.4 22.1 + S-matrix 1 = 1.00000 0.00000 for L= 67, J= 67.5 channel on core I = 0.0 from L= 67, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 67, J = 67.5 channel. + 67.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 67.5-/67 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 68.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.4 22.4 + S-matrix 1 = 1.00000 0.00000 for L= 68, J= 68.5 channel on core I = 0.0 from L= 68, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 68, J = 68.5 channel. + 68.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 68.5+/68 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 68.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.4 22.4 + S-matrix 1 = 1.00000 0.00000 for L= 69, J= 68.5 channel on core I = 0.0 from L= 69, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 69, J = 68.5 channel. + 68.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 68.5-/69 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 69.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.5 22.8 + S-matrix 1 = 1.00000 0.00000 for L= 70, J= 69.5 channel on core I = 0.0 from L= 70, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 70, J = 69.5 channel. + 69.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 69.5+/70 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 69.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.5 22.8 + S-matrix 1 = 1.00000 0.00000 for L= 69, J= 69.5 channel on core I = 0.0 from L= 69, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 69, J = 69.5 channel. + 69.5 1.00000000 0.00000006i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 69.5-/69 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 70.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.6 23.1 + S-matrix 1 = 1.00000 0.00000 for L= 70, J= 70.5 channel on core I = 0.0 from L= 70, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 70, J = 70.5 channel. + 70.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 70.5+/70 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 70.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.6 23.1 + S-matrix 1 = 1.00000 0.00000 for L= 71, J= 70.5 channel on core I = 0.0 from L= 71, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 71, J = 70.5 channel. + 70.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 70.5-/71 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 71.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.7 23.4 + S-matrix 1 = 1.00000 0.00000 for L= 72, J= 71.5 channel on core I = 0.0 from L= 72, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 72, J = 71.5 channel. + 71.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 71.5+/72 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 71.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.7 23.4 + S-matrix 1 = 1.00000 0.00000 for L= 71, J= 71.5 channel on core I = 0.0 from L= 71, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 71, J = 71.5 channel. + 71.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 71.5-/71 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 72.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.8 23.7 + S-matrix 1 = 1.00000 0.00000 for L= 72, J= 72.5 channel on core I = 0.0 from L= 72, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 72, J = 72.5 channel. + 72.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 72.5+/72 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 72.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.8 23.7 + S-matrix 1 = 1.00000 0.00000 for L= 73, J= 72.5 channel on core I = 0.0 from L= 73, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 73, J = 72.5 channel. + 72.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 72.5-/73 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 73.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.8 24.1 + S-matrix 1 = 1.00000 0.00000 for L= 74, J= 73.5 channel on core I = 0.0 from L= 74, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 74, J = 73.5 channel. + 73.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 73.5+/74 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 73.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.8 24.1 + S-matrix 1 = 1.00000 0.00000 for L= 73, J= 73.5 channel on core I = 0.0 from L= 73, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 73, J = 73.5 channel. + 73.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 73.5-/73 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 74.5 +, 1 chs, 0 cc. Rmin & Coul turning = 5.9 24.4 + S-matrix 1 = 1.00000 0.00000 for L= 74, J= 74.5 channel on core I = 0.0 from L= 74, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 74, J = 74.5 channel. + 74.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 74.5+/74 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 74.5 -, 1 chs, 0 cc. Rmin & Coul turning = 5.9 24.4 + S-matrix 1 = 1.00000 0.00000 for L= 75, J= 74.5 channel on core I = 0.0 from L= 75, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 75, J = 74.5 channel. + 74.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 74.5-/75 @ 1 = -0.000#, Out: 0.000# + + + Total SPIN, PARITY = 75.5 +, 1 chs, 0 cc. Rmin & Coul turning = 6.0 24.7 + S-matrix 1 = 1.00000 0.00000 for L= 76, J= 75.5 channel on core I = 0.0 from L= 76, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 76, J = 75.5 channel. + 75.5 1.00000000 0.00000004i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 75.5+/76 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 75.5 -, 1 chs, 0 cc. Rmin & Coul turning = 6.0 24.7 + S-matrix 1 = 1.00000 0.00000 for L= 75, J= 75.5 channel on core I = 0.0 from L= 75, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 75, J = 75.5 channel. + 75.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 75.5-/75 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 76.5 +, 1 chs, 0 cc. Rmin & Coul turning = 6.1 25.0 + S-matrix 1 = 1.00000 0.00000 for L= 76, J= 76.5 channel on core I = 0.0 from L= 76, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 0.000 deg. for the L = 76, J = 76.5 channel. + 76.5 1.00000000 0.00000004i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 76.5+/76 @ 1 = 0.000#, Out: 0.000# + + + Total SPIN, PARITY = 76.5 -, 1 chs, 0 cc. Rmin & Coul turning = 6.1 25.0 + S-matrix 1 = 1.00000 0.00000 for L= 77, J= 76.5 channel on core I = 0.0 from L= 77, Acc. loss = 0.0 D. + Elastic phase shift 1 = 0.000 -0.000 deg. for the L = 77, J = 76.5 channel. + 76.5 1.00000000 0.00000005i: elastic S-matrix @@ 0.00 0 0 F 0 2 2 T + Reaction Xsec 76.5-/77 @ 1 = -0.000#, Out: 0.000# + + Finished all CC sets @ 5.63309975E-02 +0CUMULATIVE REACTION cross section = 1068.22313 = 13.21 = 202.7 +0CUMULATIVE TOTAL cross section = 3661.49752 = 12.85 = 189.4 +0CUMULATIVE ELASTIC cross section = 2593.27439 = 12.70 = 184.0 +0CUMULATIVE outgoing cross sections in partition 1 : 0.00000 +0Cumulative ABSORBTION by Imaginary Potentials = 1068.22313 = 13.21 = 202.7 + Fusion for specific n M-states : 1068.223132 1068.223132 +0CUMULATIVE OUTGOING cross section = 0.00000 + Strength functions * 10^4 for L=0-2 = 0.09452 0.09475 0.94384 (with r0= 1.35 fm). R' = 0.307 fm + To convert to S-factors (MeV.mb = keV.b), multiply by 1.9747E+02 + + + CROSS SECTIONS FOR OUTGOING n & Ni78 in state # 1 with spins & parities 0.5 + & 0.0 +; 0 + + 0.01 deg.: X-S = 8.861505E+04 mb/sr, ++ REAC 1.0682E+03 mb + 1.00 deg.: X-S = 8.562027E+04 mb/sr, + 2.00 deg.: X-S = 7.717207E+04 mb/sr, + 3.00 deg.: X-S = 6.474013E+04 mb/sr, + 4.00 deg.: X-S = 5.034814E+04 mb/sr, + 5.00 deg.: X-S = 3.608286E+04 mb/sr, + 6.00 deg.: X-S = 2.364107E+04 mb/sr, + 7.00 deg.: X-S = 1.403921E+04 mb/sr, + 8.00 deg.: X-S = 7543.123524 mb/sr, + 9.00 deg.: X-S = 3797.955472 mb/sr, + 10.00 deg.: X-S = 2080.394862 mb/sr, + 11.00 deg.: X-S = 1574.192799 mb/sr, + 12.00 deg.: X-S = 1586.296524 mb/sr, + 13.00 deg.: X-S = 1660.323642 mb/sr, + 14.00 deg.: X-S = 1587.517822 mb/sr, + 15.00 deg.: X-S = 1346.545746 mb/sr, + 16.00 deg.: X-S = 1015.206067 mb/sr, + 17.00 deg.: X-S = 691.096549 mb/sr, + 18.00 deg.: X-S = 442.138353 mb/sr, + 19.00 deg.: X-S = 290.435320 mb/sr, + 20.00 deg.: X-S = 220.665194 mb/sr, + 21.00 deg.: X-S = 199.472991 mb/sr, + 22.00 deg.: X-S = 194.052190 mb/sr, + 23.00 deg.: X-S = 183.254752 mb/sr, + 24.00 deg.: X-S = 160.037887 mb/sr, + 25.00 deg.: X-S = 127.763376 mb/sr, + 26.00 deg.: X-S = 94.164563 mb/sr, + 27.00 deg.: X-S = 66.161838 mb/sr, + 28.00 deg.: X-S = 47.135716 mb/sr, + 29.00 deg.: X-S = 36.709589 mb/sr, + 30.00 deg.: X-S = 32.127183 mb/sr, + 31.00 deg.: X-S = 30.064596 mb/sr, + 32.00 deg.: X-S = 28.004371 mb/sr, + 33.00 deg.: X-S = 24.804415 mb/sr, + 34.00 deg.: X-S = 20.543685 mb/sr, + 35.00 deg.: X-S = 15.972224 mb/sr, + 36.00 deg.: X-S = 11.920832 mb/sr, + 37.00 deg.: X-S = 8.908113 mb/sr, + 38.00 deg.: X-S = 7.019417 mb/sr, + 39.00 deg.: X-S = 6.001965 mb/sr, + 40.00 deg.: X-S = 5.459677 mb/sr, + 41.00 deg.: X-S = 5.036664 mb/sr, + 42.00 deg.: X-S = 4.523372 mb/sr, + 43.00 deg.: X-S = 3.872599 mb/sr, + 44.00 deg.: X-S = 3.151029 mb/sr, + 45.00 deg.: X-S = 2.466863 mb/sr, + 46.00 deg.: X-S = 1.908601 mb/sr, + 47.00 deg.: X-S = 1.513504 mb/sr, + 48.00 deg.: X-S = 1.266824 mb/sr, + 49.00 deg.: X-S = 1.121236 mb/sr, + 50.00 deg.: X-S = 1.022234 mb/sr, + 51.00 deg.: X-S = 0.928078 mb/sr, + 52.00 deg.: X-S = 0.818804 mb/sr, + 53.00 deg.: X-S = 0.694676 mb/sr, + 54.00 deg.: X-S = 0.568135 mb/sr, + 55.00 deg.: X-S = 0.454262 mb/sr, + 56.00 deg.: X-S = 0.363623 mb/sr, + 57.00 deg.: X-S = 0.299189 mb/sr, + 58.00 deg.: X-S = 0.257078 mb/sr, + 59.00 deg.: X-S = 0.229561 mb/sr, + 60.00 deg.: X-S = 0.208543 mb/sr, + 61.00 deg.: X-S = 0.188129 mb/sr, + 62.00 deg.: X-S = 0.165679 mb/sr, + 63.00 deg.: X-S = 0.141458 mb/sr, + 64.00 deg.: X-S = 0.117441 mb/sr, + 65.00 deg.: X-S = 0.095938 mb/sr, + 66.00 deg.: X-S = 0.078563 mb/sr, + 67.00 deg.: X-S = 0.065769 mb/sr, + 68.00 deg.: X-S = 0.056941 mb/sr, + 69.00 deg.: X-S = 0.050827 mb/sr, + 70.00 deg.: X-S = 0.046067 mb/sr, + 71.00 deg.: X-S = 0.041609 mb/sr, + 72.00 deg.: X-S = 0.036915 mb/sr, + 73.00 deg.: X-S = 0.031940 mb/sr, + 74.00 deg.: X-S = 0.026970 mb/sr, + 75.00 deg.: X-S = 0.022401 mb/sr, + 76.00 deg.: X-S = 0.018558 mb/sr, + 77.00 deg.: X-S = 0.015585 mb/sr, + 78.00 deg.: X-S = 0.013430 mb/sr, + 79.00 deg.: X-S = 0.011903 mb/sr, + 80.00 deg.: X-S = 0.010755 mb/sr, + 81.00 deg.: X-S = 0.009761 mb/sr, + 82.00 deg.: X-S = 0.008772 mb/sr, + 83.00 deg.: X-S = 0.007733 mb/sr, + 84.00 deg.: X-S = 0.006666 mb/sr, + 85.00 deg.: X-S = 0.005634 mb/sr, + 86.00 deg.: X-S = 0.004709 mb/sr, + 87.00 deg.: X-S = 0.003943 mb/sr, + 88.00 deg.: X-S = 0.003350 mb/sr, + 89.00 deg.: X-S = 0.002915 mb/sr, + 90.00 deg.: X-S = 0.002596 mb/sr, + 91.00 deg.: X-S = 0.002346 mb/sr, + 92.00 deg.: X-S = 0.002124 mb/sr, + 93.00 deg.: X-S = 0.001904 mb/sr, + 94.00 deg.: X-S = 0.001676 mb/sr, + 95.00 deg.: X-S = 0.001445 mb/sr, + 96.00 deg.: X-S = 0.001222 mb/sr, + 97.00 deg.: X-S = 0.001021 mb/sr, + 98.00 deg.: X-S = 0.000854 mb/sr, + 99.00 deg.: X-S = 0.000723 mb/sr, + 100.00 deg.: X-S = 0.000625 mb/sr, + 101.00 deg.: X-S = 0.000555 mb/sr, + 102.00 deg.: X-S = 0.000500 mb/sr, + 103.00 deg.: X-S = 0.000454 mb/sr, + 104.00 deg.: X-S = 0.000409 mb/sr, + 105.00 deg.: X-S = 0.000363 mb/sr, + 106.00 deg.: X-S = 0.000314 mb/sr, + 107.00 deg.: X-S = 0.000266 mb/sr, + 108.00 deg.: X-S = 0.000221 mb/sr, + 109.00 deg.: X-S = 0.000182 mb/sr, + 110.00 deg.: X-S = 0.000151 mb/sr, + 111.00 deg.: X-S = 0.000127 mb/sr, + 112.00 deg.: X-S = 0.000109 mb/sr, + 113.00 deg.: X-S = 9.717183E-05 mb/sr, + 114.00 deg.: X-S = 8.794673E-05 mb/sr, + 115.00 deg.: X-S = 8.001428E-05 mb/sr, + 116.00 deg.: X-S = 7.215327E-05 mb/sr, + 117.00 deg.: X-S = 6.378861E-05 mb/sr, + 118.00 deg.: X-S = 5.493375E-05 mb/sr, + 119.00 deg.: X-S = 4.600768E-05 mb/sr, + 120.00 deg.: X-S = 3.760324E-05 mb/sr, + 121.00 deg.: X-S = 3.027652E-05 mb/sr, + 122.00 deg.: X-S = 2.439757E-05 mb/sr, + 123.00 deg.: X-S = 2.008068E-05 mb/sr, + 124.00 deg.: X-S = 1.719492E-05 mb/sr, + 125.00 deg.: X-S = 1.543219E-05 mb/sr, + 126.00 deg.: X-S = 1.439847E-05 mb/sr, + 127.00 deg.: X-S = 1.370409E-05 mb/sr, + 128.00 deg.: X-S = 1.303617E-05 mb/sr, + 129.00 deg.: X-S = 1.219791E-05 mb/sr, + 130.00 deg.: X-S = 1.111226E-05 mb/sr, + 131.00 deg.: X-S = 9.803132E-06 mb/sr, + 132.00 deg.: X-S = 8.365165E-06 mb/sr, + 133.00 deg.: X-S = 6.924956E-06 mb/sr, + 134.00 deg.: X-S = 5.602757E-06 mb/sr, + 135.00 deg.: X-S = 4.487911E-06 mb/sr, + 136.00 deg.: X-S = 3.628996E-06 mb/sr, + 137.00 deg.: X-S = 3.030958E-06 mb/sr, + 138.00 deg.: X-S = 2.659278E-06 mb/sr, + 139.00 deg.: X-S = 2.454681E-06 mb/sr, + 140.00 deg.: X-S = 2.351506E-06 mb/sr, + 141.00 deg.: X-S = 2.290001E-06 mb/sr, + 142.00 deg.: X-S = 2.223502E-06 mb/sr, + 143.00 deg.: X-S = 2.124817E-06 mb/sr, + 144.00 deg.: X-S = 1.988208E-06 mb/sr, + 145.00 deg.: X-S = 1.823109E-06 mb/sr, + 146.00 deg.: X-S = 1.644682E-06 mb/sr, + 147.00 deg.: X-S = 1.467577E-06 mb/sr, + 148.00 deg.: X-S = 1.302274E-06 mb/sr, + 149.00 deg.: X-S = 1.152263E-06 mb/sr, + 150.00 deg.: X-S = 1.014277E-06 mb/sr, + 151.00 deg.: X-S = 8.824621E-07 mb/sr, + 152.00 deg.: X-S = 7.529084E-07 mb/sr, + 153.00 deg.: X-S = 6.257070E-07 mb/sr, + 154.00 deg.: X-S = 5.049746E-07 mb/sr, + 155.00 deg.: X-S = 3.973260E-07 mb/sr, + 156.00 deg.: X-S = 3.087680E-07 mb/sr, + 157.00 deg.: X-S = 2.417642E-07 mb/sr, + 158.00 deg.: X-S = 1.946898E-07 mb/sr, + 159.00 deg.: X-S = 1.635535E-07 mb/sr, + 160.00 deg.: X-S = 1.444715E-07 mb/sr, + 161.00 deg.: X-S = 1.360180E-07 mb/sr, + 162.00 deg.: X-S = 1.405262E-07 mb/sr, + 163.00 deg.: X-S = 1.629374E-07 mb/sr, + 164.00 deg.: X-S = 2.072001E-07 mb/sr, + 165.00 deg.: X-S = 2.721964E-07 mb/sr, + 166.00 deg.: X-S = 3.492586E-07 mb/sr, + 167.00 deg.: X-S = 4.223566E-07 mb/sr, + 168.00 deg.: X-S = 4.715328E-07 mb/sr, + 169.00 deg.: X-S = 4.792078E-07 mb/sr, + 170.00 deg.: X-S = 4.371144E-07 mb/sr, + 171.00 deg.: X-S = 3.507378E-07 mb/sr, + 172.00 deg.: X-S = 2.392227E-07 mb/sr, + 173.00 deg.: X-S = 1.305085E-07 mb/sr, + 174.00 deg.: X-S = 5.292970E-08 mb/sr, + 175.00 deg.: X-S = 2.589710E-08 mb/sr, + 176.00 deg.: X-S = 5.308100E-08 mb/sr, + 177.00 deg.: X-S = 1.208288E-07 mb/sr, + 178.00 deg.: X-S = 2.025795E-07 mb/sr, + 179.00 deg.: X-S = 2.678191E-07 mb/sr, + 179.99 deg.: X-S = 2.925788E-07 mb/sr, + Integrated 2.5808E+03 mb, over [ 0.000, 180.000] at 200.0000 MeV + Finished all xsecs @ 5.81769980E-02 + + The following files have been created: + 3:local copy of User input. 6:standard output. + 7:elastic S-matrix elements. 13:total cross sections/state. + 16:tables of cross sections. 38:cross sections for each J/pi. + 39:cross sections for each Ecm. 40:all cross sectns. for each Elab. + 45:scat phase shift as E functions. 56:Fusion for each Jtotal. + 201:Separate cross sections. + + PARAMETERS : MAXQRN MLOC LMAX1 MCLIST MFNL MPWCOUP + ALLOWED : 1 2 180 4 1 0 + REQUIRED: 0 2 78 1 0 0 + + + ACCURACY ANALYSIS at 200.000 MeV : + + Elastic h*k = 0.153 so OK compared with 0.200 + + Real(S-el) > 0.01 first at J = 17.5 + Real(S-el) > 0.10 first at J = 18.5 + Real(S-el) > 0.50 first at J = 19.5 + Real(S-el) > 0.90 first at J = 22.5 + Real(S-el) > 0.99 first at J = 25.5 + R-turn = 25.05 fm at J = 76.5 + + Forward-angle excitation cut off below 0.000 deg by max JT = 76.5 + and below 0.000 deg by max R. + + Total CPU 0 time = 0.06 seconds diff --git a/tests/regression/frescox/reference/F1_p_ni78_elastic.csv b/tests/regression/frescox/reference/F1_p_ni78_elastic.csv new file mode 100644 index 00000000..5f060bb1 --- /dev/null +++ b/tests/regression/frescox/reference/F1_p_ni78_elastic.csv @@ -0,0 +1,185 @@ +# case_id: F1_p_ni78_elastic +# reference_code: frescox +# source_example: B1-example-el.in +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +1.000000,3.775400000000e+09 +2.000000,2.360800000000e+08 +3.000000,4.650100000000e+07 +4.000000,1.468100000000e+07 +5.000000,6.024900000000e+06 +6.000000,2.923600000000e+06 +7.000000,1.592200000000e+06 +8.000000,9.421100000000e+05 +9.000000,5.929200000000e+05 +10.000000,3.911500000000e+05 +11.000000,2.677300000000e+05 +12.000000,1.887700000000e+05 +13.000000,1.364000000000e+05 +14.000000,1.006300000000e+05 +15.000000,7.558800000000e+04 +16.000000,5.769900000000e+04 +17.000000,4.469000000000e+04 +18.000000,3.508300000000e+04 +19.000000,2.788900000000e+04 +20.000000,2.243400000000e+04 +21.000000,1.824700000000e+04 +22.000000,1.499800000000e+04 +23.000000,1.245000000000e+04 +24.000000,1.043100000000e+04 +25.000000,8.813994086000e+03 +26.000000,7.506646749000e+03 +27.000000,6.439209802000e+03 +28.000000,5.559381846000e+03 +29.000000,4.827533447000e+03 +30.000000,4.213424732000e+03 +31.000000,3.693823230000e+03 +32.000000,3.250760222000e+03 +33.000000,2.870244639000e+03 +34.000000,2.541307903000e+03 +35.000000,2.255290160000e+03 +36.000000,2.005303918000e+03 +37.000000,1.785828957000e+03 +38.000000,1.592404983000e+03 +39.000000,1.421397461000e+03 +40.000000,1.269818521000e+03 +41.000000,1.135189476000e+03 +42.000000,1.015434941000e+03 +43.000000,9.088010110000e+02 +44.000000,8.137918280000e+02 +45.000000,7.291202450000e+02 +46.000000,6.536693180000e+02 +47.000000,5.864621450000e+02 +48.000000,5.266381400000e+02 +49.000000,4.734342910000e+02 +50.000000,4.261702700000e+02 +51.000000,3.842365460000e+02 +52.000000,3.470848150000e+02 +53.000000,3.142202500000e+02 +54.000000,2.851951600000e+02 +55.000000,2.596037550000e+02 +56.000000,2.370777790000e+02 +57.000000,2.172828180000e+02 +58.000000,1.999151530000e+02 +59.000000,1.846990330000e+02 +60.000000,1.713842900000e+02 +61.000000,1.597442290000e+02 +62.000000,1.495737390000e+02 +63.000000,1.406875840000e+02 +64.000000,1.329188460000e+02 +65.000000,1.261174980000e+02 +66.000000,1.201490830000e+02 +67.000000,1.148934860000e+02 +68.000000,1.102437950000e+02 +69.000000,1.061052310000e+02 +70.000000,1.023941490000e+02 +71.000000,9.903710000000e+01 +72.000000,9.596995500000e+01 +73.000000,9.313707600000e+01 +74.000000,9.049054600000e+01 +75.000000,8.798944200000e+01 +76.000000,8.559916100000e+01 +77.000000,8.329078400000e+01 +78.000000,8.104048700000e+01 +79.000000,7.882898900000e+01 +80.000000,7.664104400000e+01 +81.000000,7.446496700000e+01 +82.000000,7.229219600000e+01 +83.000000,7.011688700000e+01 +84.000000,6.793554700000e+01 +85.000000,6.574669000000e+01 +86.000000,6.355052600000e+01 +87.000000,6.134868300000e+01 +88.000000,5.914394600000e+01 +89.000000,5.694002600000e+01 +90.000000,5.474135400000e+01 +91.000000,5.255288900000e+01 +92.000000,5.037996100000e+01 +93.000000,4.822811600000e+01 +94.000000,4.610299200000e+01 +95.000000,4.401020700000e+01 +96.000000,4.195526000000e+01 +97.000000,3.994345100000e+01 +98.000000,3.797981300000e+01 +99.000000,3.606905100000e+01 +100.000000,3.421550200000e+01 +101.000000,3.242309600000e+01 +102.000000,3.069532700000e+01 +103.000000,2.903524300000e+01 +104.000000,2.744542700000e+01 +105.000000,2.592799700000e+01 +106.000000,2.448461000000e+01 +107.000000,2.311646400000e+01 +108.000000,2.182431400000e+01 +109.000000,2.060848600000e+01 +110.000000,1.946889600000e+01 +111.000000,1.840507300000e+01 +112.000000,1.741618000000e+01 +113.000000,1.650104600000e+01 +114.000000,1.565818600000e+01 +115.000000,1.488583400000e+01 +116.000000,1.418197200000e+01 +117.000000,1.354435600000e+01 +118.000000,1.297054800000e+01 +119.000000,1.245794300000e+01 +120.000000,1.200379700000e+01 +121.000000,1.160525900000e+01 +122.000000,1.125938900000e+01 +123.000000,1.096319200000e+01 +124.000000,1.071363600000e+01 +125.000000,1.050767600000e+01 +126.000000,1.034227800000e+01 +127.000000,1.021443400000e+01 +128.000000,1.012118300000e+01 +129.000000,1.005962500000e+01 +130.000000,1.002693800000e+01 +131.000000,1.002038900000e+01 +132.000000,1.003734400000e+01 +133.000000,1.007527800000e+01 +134.000000,1.013178700000e+01 +135.000000,1.020458600000e+01 +136.000000,1.029152200000e+01 +137.000000,1.039057000000e+01 +138.000000,1.049984000000e+01 +139.000000,1.061757700000e+01 +140.000000,1.074215600000e+01 +141.000000,1.087208700000e+01 +142.000000,1.100600600000e+01 +143.000000,1.114267600000e+01 +144.000000,1.128098000000e+01 +145.000000,1.141991900000e+01 +146.000000,1.155860300000e+01 +147.000000,1.169624600000e+01 +148.000000,1.183216300000e+01 +149.000000,1.196575900000e+01 +150.000000,1.209652400000e+01 +151.000000,1.222402600000e+01 +152.000000,1.234790500000e+01 +153.000000,1.246786500000e+01 +154.000000,1.258366900000e+01 +155.000000,1.269512900000e+01 +156.000000,1.280210600000e+01 +157.000000,1.290449800000e+01 +158.000000,1.300223600000e+01 +159.000000,1.309528300000e+01 +160.000000,1.318362400000e+01 +161.000000,1.326726200000e+01 +162.000000,1.334621900000e+01 +163.000000,1.342052700000e+01 +164.000000,1.349022800000e+01 +165.000000,1.355536800000e+01 +166.000000,1.361600000000e+01 +167.000000,1.367217600000e+01 +168.000000,1.372395100000e+01 +169.000000,1.377137500000e+01 +170.000000,1.381450100000e+01 +171.000000,1.385337300000e+01 +172.000000,1.388803600000e+01 +173.000000,1.391852900000e+01 +174.000000,1.394488600000e+01 +175.000000,1.396713700000e+01 +176.000000,1.398530800000e+01 +177.000000,1.399942000000e+01 +178.000000,1.400948800000e+01 +179.000000,1.401552500000e+01 +179.990000,1.401753600000e+01 diff --git a/tests/regression/frescox/reference/F1_p_ni78_elastic.json b/tests/regression/frescox/reference/F1_p_ni78_elastic.json new file mode 100644 index 00000000..766a3479 --- /dev/null +++ b/tests/regression/frescox/reference/F1_p_ni78_elastic.json @@ -0,0 +1,72 @@ +{ + "case_id": "F1_p_ni78_elastic", + "reference_code": "frescox", + "observable_type": "elastic", + "description": "Frescox B1 proton elastic scattering on 78Ni at Elab = 6.9 MeV.", + "source_example": "B1-example-el.in", + "reaction": { + "target": { + "A": 78, + "Z": 28, + "name": "78Ni" + }, + "projectile": { + "A": 1, + "Z": 1, + "name": "p" + } + }, + "mass_kwargs": { + "model": "BMA" + }, + "mass_model": "integer_amu", + "kinematics": { + "energy_MeV": 6.9, + "frame": "lab", + "relativistic": false + }, + "optical_potential": { + "kind": "woods_saxon_local", + "scale_radii_by_At_and_Ap": true, + "central": { + "Vv": 40.0, + "rv": 1.2, + "av": 0.65, + "Wv": 10.0, + "rw": 1.2, + "aw": 0.5, + "Wd": 0.0, + "Vd": 0.0, + "rd": 1.2, + "ad": 0.65 + }, + "spin_orbit": { + "Vso": 0.0, + "Wso": 0.0, + "rso": 1.2, + "aso": 0.65 + }, + "coulomb": { + "rC": 1.2 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 30, + "nbasis": 50 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.005, + "atol": 1e-06 + } + }, + "reference_run": { + "code": "frescox", + "version": "website example output (undated)", + "source_url": "http://www.fresco.org.uk/examples/B1-example-el.out", + "parser": "tests/regression/frescox/tools/parse_frescox.py", + "case_index": 0, + "min_angle_deg": 1.0 + } +} diff --git a/tests/regression/frescox/reference/F2_p_ni78_elastic_11MeV.csv b/tests/regression/frescox/reference/F2_p_ni78_elastic_11MeV.csv new file mode 100644 index 00000000..6a58cf0b --- /dev/null +++ b/tests/regression/frescox/reference/F2_p_ni78_elastic_11MeV.csv @@ -0,0 +1,185 @@ +# case_id: F2_p_ni78_elastic_11MeV +# reference_code: frescox +# source_example: B1-example-el.in +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +1.000000,1.483800000000e+09 +2.000000,9.254100000000e+07 +3.000000,1.846700000000e+07 +4.000000,5.940500000000e+06 +5.000000,2.464800000000e+06 +6.000000,1.192400000000e+06 +7.000000,6.379400000000e+05 +8.000000,3.663200000000e+05 +9.000000,2.217900000000e+05 +10.000000,1.400700000000e+05 +11.000000,9.167500000000e+04 +12.000000,6.193800000000e+04 +13.000000,4.310300000000e+04 +14.000000,3.085500000000e+04 +15.000000,2.269900000000e+04 +16.000000,1.714300000000e+04 +17.000000,1.327400000000e+04 +18.000000,1.051600000000e+04 +19.000000,8.504539691000e+03 +20.000000,7.000703081000e+03 +21.000000,5.848585360000e+03 +22.000000,4.944302546000e+03 +23.000000,4.218047029000e+03 +24.000000,3.622436817000e+03 +25.000000,3.124981337000e+03 +26.000000,2.703151647000e+03 +27.000000,2.341122886000e+03 +28.000000,2.027604387000e+03 +29.000000,1.754385119000e+03 +30.000000,1.515354116000e+03 +31.000000,1.305838812000e+03 +32.000000,1.122157539000e+03 +33.000000,9.613170160000e+02 +34.000000,8.208083260000e+02 +35.000000,6.984699050000e+02 +36.000000,5.923960980000e+02 +37.000000,5.008766330000e+02 +38.000000,4.223569310000e+02 +39.000000,3.554123510000e+02 +40.000000,2.987316010000e+02 +41.000000,2.511060610000e+02 +42.000000,2.114227850000e+02 +43.000000,1.786596760000e+02 +44.000000,1.518818410000e+02 +45.000000,1.302384520000e+02 +46.000000,1.129597260000e+02 +47.000000,9.935376300000e+01 +48.000000,8.880313100000e+01 +49.000000,8.076113700000e+01 +50.000000,7.474780700000e+01 +51.000000,7.034559000000e+01 +52.000000,6.719487000000e+01 +53.000000,6.498933100000e+01 +54.000000,6.347126000000e+01 +55.000000,6.242686000000e+01 +56.000000,6.168162400000e+01 +57.000000,6.109584600000e+01 +58.000000,6.056031600000e+01 +59.000000,5.999223400000e+01 +60.000000,5.933138600000e+01 +61.000000,5.853660600000e+01 +62.000000,5.758253700000e+01 +63.000000,5.645670700000e+01 +64.000000,5.515691500000e+01 +65.000000,5.368892700000e+01 +66.000000,5.206447900000e+01 +67.000000,5.029955700000e+01 +68.000000,4.841295800000e+01 +69.000000,4.642509100000e+01 +70.000000,4.435701300000e+01 +71.000000,4.222966600000e+01 +72.000000,4.006329400000e+01 +73.000000,3.787702000000e+01 +74.000000,3.568855900000e+01 +75.000000,3.351403200000e+01 +76.000000,3.136788700000e+01 +77.000000,2.926287700000e+01 +78.000000,2.721010400000e+01 +79.000000,2.521909900000e+01 +80.000000,2.329792500000e+01 +81.000000,2.145330200000e+01 +82.000000,1.969073100000e+01 +83.000000,1.801462800000e+01 +84.000000,1.642843700000e+01 +85.000000,1.493474500000e+01 +86.000000,1.353538000000e+01 +87.000000,1.223149100000e+01 +88.000000,1.102362100000e+01 +89.000000,9.911761000000e+00 +90.000000,8.895394000000e+00 +91.000000,7.973525000000e+00 +92.000000,7.144709000000e+00 +93.000000,6.407067000000e+00 +94.000000,5.758298000000e+00 +95.000000,5.195694000000e+00 +96.000000,4.716149000000e+00 +97.000000,4.316172000000e+00 +98.000000,3.991906000000e+00 +99.000000,3.739147000000e+00 +100.000000,3.553370000000e+00 +101.000000,3.429760000000e+00 +102.000000,3.363249000000e+00 +103.000000,3.348557000000e+00 +104.000000,3.380240000000e+00 +105.000000,3.452741000000e+00 +106.000000,3.560437000000e+00 +107.000000,3.697705000000e+00 +108.000000,3.858968000000e+00 +109.000000,4.038756000000e+00 +110.000000,4.231758000000e+00 +111.000000,4.432873000000e+00 +112.000000,4.637255000000e+00 +113.000000,4.840359000000e+00 +114.000000,5.037974000000e+00 +115.000000,5.226254000000e+00 +116.000000,5.401743000000e+00 +117.000000,5.561389000000e+00 +118.000000,5.702558000000e+00 +119.000000,5.823033000000e+00 +120.000000,5.921017000000e+00 +121.000000,5.995116000000e+00 +122.000000,6.044337000000e+00 +123.000000,6.068059000000e+00 +124.000000,6.066018000000e+00 +125.000000,6.038285000000e+00 +126.000000,5.985232000000e+00 +127.000000,5.907512000000e+00 +128.000000,5.806032000000e+00 +129.000000,5.681923000000e+00 +130.000000,5.536514000000e+00 +131.000000,5.371313000000e+00 +132.000000,5.187980000000e+00 +133.000000,4.988307000000e+00 +134.000000,4.774204000000e+00 +135.000000,4.547678000000e+00 +136.000000,4.310821000000e+00 +137.000000,4.065795000000e+00 +138.000000,3.814824000000e+00 +139.000000,3.560179000000e+00 +140.000000,3.304169000000e+00 +141.000000,3.049128000000e+00 +142.000000,2.797404000000e+00 +143.000000,2.551345000000e+00 +144.000000,2.313283000000e+00 +145.000000,2.085515000000e+00 +146.000000,1.870288000000e+00 +147.000000,1.669771000000e+00 +148.000000,1.486036000000e+00 +149.000000,1.321026000000e+00 +150.000000,1.176534000000e+00 +151.000000,1.054167000000e+00 +152.000000,9.553230000000e-01 +153.000000,8.811540000000e-01 +154.000000,8.325450000000e-01 +155.000000,8.100850000000e-01 +156.000000,8.140390000000e-01 +157.000000,8.443360000000e-01 +158.000000,9.005470000000e-01 +159.000000,9.818770000000e-01 +160.000000,1.087163000000e+00 +161.000000,1.214875000000e+00 +162.000000,1.363125000000e+00 +163.000000,1.529688000000e+00 +164.000000,1.712022000000e+00 +165.000000,1.907302000000e+00 +166.000000,2.112462000000e+00 +167.000000,2.324236000000e+00 +168.000000,2.539210000000e+00 +169.000000,2.753880000000e+00 +170.000000,2.964709000000e+00 +171.000000,3.168191000000e+00 +172.000000,3.360911000000e+00 +173.000000,3.539611000000e+00 +174.000000,3.701248000000e+00 +175.000000,3.843055000000e+00 +176.000000,3.962589000000e+00 +177.000000,4.057784000000e+00 +178.000000,4.126988000000e+00 +179.000000,4.169000000000e+00 +179.990000,4.183084000000e+00 diff --git a/tests/regression/frescox/reference/F2_p_ni78_elastic_11MeV.json b/tests/regression/frescox/reference/F2_p_ni78_elastic_11MeV.json new file mode 100644 index 00000000..6ba16add --- /dev/null +++ b/tests/regression/frescox/reference/F2_p_ni78_elastic_11MeV.json @@ -0,0 +1,72 @@ +{ + "case_id": "F2_p_ni78_elastic_11MeV", + "reference_code": "frescox", + "observable_type": "elastic", + "description": "Frescox B1 proton elastic scattering on 78Ni at Elab = 11.0 MeV.", + "source_example": "B1-example-el.in", + "reaction": { + "target": { + "A": 78, + "Z": 28, + "name": "78Ni" + }, + "projectile": { + "A": 1, + "Z": 1, + "name": "p" + } + }, + "mass_kwargs": { + "model": "BMA" + }, + "mass_model": "integer_amu", + "kinematics": { + "energy_MeV": 11.0, + "frame": "lab", + "relativistic": false + }, + "optical_potential": { + "kind": "woods_saxon_local", + "scale_radii_by_At_and_Ap": true, + "central": { + "Vv": 40.0, + "rv": 1.2, + "av": 0.65, + "Wv": 10.0, + "rw": 1.2, + "aw": 0.5, + "Wd": 0.0, + "Vd": 0.0, + "rd": 1.2, + "ad": 0.65 + }, + "spin_orbit": { + "Vso": 0.0, + "Wso": 0.0, + "rso": 1.2, + "aso": 0.65 + }, + "coulomb": { + "rC": 1.2 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 40, + "nbasis": 50 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.02, + "atol": 1e-06 + } + }, + "reference_run": { + "code": "frescox", + "version": "website example output (undated)", + "source_url": "http://www.fresco.org.uk/examples/B1-example-el.out", + "parser": "tests/regression/frescox/tools/parse_frescox.py", + "case_index": 1, + "min_angle_deg": 1.0 + } +} diff --git a/tests/regression/frescox/reference/F3_p_ni78_elastic_49p35MeV.csv b/tests/regression/frescox/reference/F3_p_ni78_elastic_49p35MeV.csv new file mode 100644 index 00000000..7041005b --- /dev/null +++ b/tests/regression/frescox/reference/F3_p_ni78_elastic_49p35MeV.csv @@ -0,0 +1,185 @@ +# case_id: F3_p_ni78_elastic_49p35MeV +# reference_code: frescox +# source_example: B1-example-el.in +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +1.000000,7.353600000000e+07 +2.000000,4.215500000000e+06 +3.000000,7.146600000000e+05 +4.000000,1.919500000000e+05 +5.000000,7.092400000000e+04 +6.000000,3.474900000000e+04 +7.000000,2.136400000000e+04 +8.000000,1.508200000000e+04 +9.000000,1.130000000000e+04 +10.000000,8.551635503000e+03 +11.000000,6.356603260000e+03 +12.000000,4.560057904000e+03 +13.000000,3.110151607000e+03 +14.000000,1.981047167000e+03 +15.000000,1.146740183000e+03 +16.000000,5.739424730000e+02 +17.000000,2.222464400000e+02 +18.000000,4.692319900000e+01 +19.000000,2.386456000000e+00 +20.000000,4.542993400000e+01 +21.000000,1.378209920000e+02 +22.000000,2.480739260000e+02 +23.000000,3.523695250000e+02 +24.000000,4.346826520000e+02 +25.000000,4.862441170000e+02 +26.000000,5.045026580000e+02 +27.000000,4.917698870000e+02 +28.000000,4.537282570000e+02 +29.000000,3.979628550000e+02 +30.000000,3.326466140000e+02 +31.000000,2.654703830000e+02 +32.000000,2.028689120000e+02 +33.000000,1.495557610000e+02 +34.000000,1.083476620000e+02 +35.000000,8.023431600000e+01 +36.000000,6.463402800000e+01 +37.000000,5.976889500000e+01 +38.000000,6.309455400000e+01 +39.000000,7.172710800000e+01 +40.000000,8.282185000000e+01 +41.000000,9.387270700000e+01 +42.000000,1.029159850000e+02 +43.000000,1.086355150000e+02 +44.000000,1.103773730000e+02 +45.000000,1.080903900000e+02 +46.000000,1.022133900000e+02 +47.000000,9.353164600000e+01 +48.000000,8.302391200000e+01 +49.000000,7.171819600000e+01 +50.000000,6.056996600000e+01 +51.000000,5.037138900000e+01 +52.000000,4.169528100000e+01 +53.000000,3.487299700000e+01 +54.000000,3.000212100000e+01 +55.000000,2.697742300000e+01 +56.000000,2.553742500000e+01 +57.000000,2.531872500000e+01 +58.000000,2.591097000000e+01 +59.000000,2.690663300000e+01 +60.000000,2.794143700000e+01 +61.000000,2.872300600000e+01 +62.000000,2.904700600000e+01 +63.000000,2.880144600000e+01 +64.000000,2.796090300000e+01 +65.000000,2.657312300000e+01 +66.000000,2.474074100000e+01 +67.000000,2.260088300000e+01 +68.000000,2.030506100000e+01 +69.000000,1.800132200000e+01 +70.000000,1.582000400000e+01 +71.000000,1.386382800000e+01 +72.000000,1.220250600000e+01 +73.000000,1.087151900000e+01 +74.000000,9.874413000000e+00 +75.000000,9.187715000000e+00 +76.000000,8.767485000000e+00 +77.000000,8.556568000000e+00 +78.000000,8.491731000000e+00 +79.000000,8.510040000000e+00 +80.000000,8.554042000000e+00 +81.000000,8.575543000000e+00 +82.000000,8.537912000000e+00 +83.000000,8.417037000000e+00 +84.000000,8.201101000000e+00 +85.000000,7.889462000000e+00 +86.000000,7.490886000000e+00 +87.000000,7.021395000000e+00 +88.000000,6.501966000000e+00 +89.000000,5.956248000000e+00 +90.000000,5.408454000000e+00 +91.000000,4.881505000000e+00 +92.000000,4.395509000000e+00 +93.000000,3.966591000000e+00 +94.000000,3.606099000000e+00 +95.000000,3.320185000000e+00 +96.000000,3.109733000000e+00 +97.000000,2.970635000000e+00 +98.000000,2.894365000000e+00 +99.000000,2.868817000000e+00 +100.000000,2.879350000000e+00 +101.000000,2.909982000000e+00 +102.000000,2.944650000000e+00 +103.000000,2.968458000000e+00 +104.000000,2.968812000000e+00 +105.000000,2.936369000000e+00 +106.000000,2.865702000000e+00 +107.000000,2.755632000000e+00 +108.000000,2.609181000000e+00 +109.000000,2.433145000000e+00 +110.000000,2.237318000000e+00 +111.000000,2.033437000000e+00 +112.000000,1.833943000000e+00 +113.000000,1.650686000000e+00 +114.000000,1.493714000000e+00 +115.000000,1.370258000000e+00 +116.000000,1.284039000000e+00 +117.000000,1.234968000000e+00 +118.000000,1.219269000000e+00 +119.000000,1.230010000000e+00 +120.000000,1.257980000000e+00 +121.000000,1.292810000000e+00 +122.000000,1.324201000000e+00 +123.000000,1.343118000000e+00 +124.000000,1.342814000000e+00 +125.000000,1.319549000000e+00 +126.000000,1.272945000000e+00 +127.000000,1.205912000000e+00 +128.000000,1.124180000000e+00 +129.000000,1.035482000000e+00 +130.000000,9.484970000000e-01 +131.000000,8.716740000000e-01 +132.000000,8.121020000000e-01 +133.000000,7.745460000000e-01 +134.000000,7.607830000000e-01 +135.000000,7.693310000000e-01 +136.000000,7.955950000000e-01 +137.000000,8.324390000000e-01 +138.000000,8.711030000000e-01 +139.000000,9.023700000000e-01 +140.000000,9.178310000000e-01 +141.000000,9.110840000000e-01 +142.000000,8.787250000000e-01 +143.000000,8.209690000000e-01 +144.000000,7.418310000000e-01 +145.000000,6.487990000000e-01 +146.000000,5.520380000000e-01 +147.000000,4.631940000000e-01 +148.000000,3.939350000000e-01 +149.000000,3.544050000000e-01 +150.000000,3.517800000000e-01 +151.000000,3.891200000000e-01 +152.000000,4.646690000000e-01 +153.000000,5.717300000000e-01 +154.000000,6.991520000000e-01 +155.000000,8.323990000000e-01 +156.000000,9.551310000000e-01 +157.000000,1.051103000000e+00 +158.000000,1.106200000000e+00 +159.000000,1.110373000000e+00 +160.000000,1.059229000000e+00 +161.000000,9.550960000000e-01 +162.000000,8.073920000000e-01 +163.000000,6.322290000000e-01 +164.000000,4.512360000000e-01 +165.000000,2.897040000000e-01 +166.000000,1.741970000000e-01 +167.000000,1.298640000000e-01 +168.000000,1.777210000000e-01 +169.000000,3.321760000000e-01 +170.000000,5.990790000000e-01 +171.000000,9.745110000000e-01 +172.000000,1.444466000000e+00 +173.000000,1.985514000000e+00 +174.000000,2.566386000000e+00 +175.000000,3.150387000000e+00 +176.000000,3.698403000000e+00 +177.000000,4.172226000000e+00 +178.000000,4.537895000000e+00 +179.000000,4.768701000000e+00 +179.990000,4.847582000000e+00 diff --git a/tests/regression/frescox/reference/F3_p_ni78_elastic_49p35MeV.json b/tests/regression/frescox/reference/F3_p_ni78_elastic_49p35MeV.json new file mode 100644 index 00000000..c62004cb --- /dev/null +++ b/tests/regression/frescox/reference/F3_p_ni78_elastic_49p35MeV.json @@ -0,0 +1,72 @@ +{ + "case_id": "F3_p_ni78_elastic_49p35MeV", + "reference_code": "frescox", + "observable_type": "elastic", + "description": "Frescox B1 proton elastic scattering on 78Ni at Elab = 49.35 MeV.", + "source_example": "B1-example-el.in", + "reaction": { + "target": { + "A": 78, + "Z": 28, + "name": "78Ni" + }, + "projectile": { + "A": 1, + "Z": 1, + "name": "p" + } + }, + "mass_kwargs": { + "model": "BMA" + }, + "mass_model": "integer_amu", + "kinematics": { + "energy_MeV": 49.35, + "frame": "lab", + "relativistic": false + }, + "optical_potential": { + "kind": "woods_saxon_local", + "scale_radii_by_At_and_Ap": true, + "central": { + "Vv": 40.0, + "rv": 1.2, + "av": 0.65, + "Wv": 10.0, + "rw": 1.2, + "aw": 0.5, + "Wd": 0.0, + "Vd": 0.0, + "rd": 1.2, + "ad": 0.65 + }, + "spin_orbit": { + "Vso": 0.0, + "Wso": 0.0, + "rso": 1.2, + "aso": 0.65 + }, + "coulomb": { + "rC": 1.2 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 80, + "nbasis": 80 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.02, + "atol": 1e-06 + } + }, + "reference_run": { + "code": "frescox", + "version": "website example output (undated)", + "source_url": "http://www.fresco.org.uk/examples/B1-example-el.out", + "parser": "tests/regression/frescox/tools/parse_frescox.py", + "case_index": 2, + "min_angle_deg": 1.0 + } +} diff --git a/tests/regression/frescox/reference/F4_p_ni78_elastic_100MeV.csv b/tests/regression/frescox/reference/F4_p_ni78_elastic_100MeV.csv new file mode 100644 index 00000000..c374c490 --- /dev/null +++ b/tests/regression/frescox/reference/F4_p_ni78_elastic_100MeV.csv @@ -0,0 +1,185 @@ +# case_id: F4_p_ni78_elastic_100MeV +# reference_code: frescox +# source_example: B1-high-el.in +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +1.000000,1.639106000000e+07 +2.000000,7.740292000000e+05 +3.000000,1.229975000000e+05 +4.000000,4.711844000000e+04 +5.000000,3.157220000000e+04 +6.000000,2.457112000000e+04 +7.000000,1.890068000000e+04 +8.000000,1.376393000000e+04 +9.000000,9.339432613000e+03 +10.000000,5.826464113000e+03 +11.000000,3.286834988000e+03 +12.000000,1.651538962000e+03 +13.000000,7.628862070000e+02 +14.000000,4.204987040000e+02 +15.000000,4.210026400000e+02 +16.000000,5.871990470000e+02 +17.000000,7.852740920000e+02 +18.000000,9.306379400000e+02 +19.000000,9.845105030000e+02 +20.000000,9.442875590000e+02 +21.000000,8.309633330000e+02 +22.000000,6.765321640000e+02 +23.000000,5.135238860000e+02 +24.000000,3.678737560000e+02 +25.000000,2.554045260000e+02 +26.000000,1.814678340000e+02 +27.000000,1.428413780000e+02 +28.000000,1.308190000000e+02 +29.000000,1.345157700000e+02 +30.000000,1.436571340000e+02 +31.000000,1.504383980000e+02 +32.000000,1.503475070000e+02 +33.000000,1.420833590000e+02 +34.000000,1.268460590000e+02 +35.000000,1.073229470000e+02 +36.000000,8.666325000000e+01 +37.000000,6.765310800000e+01 +38.000000,5.220216300000e+01 +39.000000,4.115836200000e+01 +40.000000,3.439647900000e+01 +41.000000,3.108571700000e+01 +42.000000,3.003188800000e+01 +43.000000,3.000368400000e+01 +44.000000,2.998076800000e+01 +45.000000,2.929433900000e+01 +46.000000,2.766054900000e+01 +47.000000,2.512857600000e+01 +48.000000,2.197640600000e+01 +49.000000,1.858891300000e+01 +50.000000,1.534714900000e+01 +51.000000,1.254778100000e+01 +52.000000,1.036067800000e+01 +53.000000,8.823011000000e+00 +54.000000,7.861498000000e+00 +55.000000,7.331126000000e+00 +56.000000,7.058516000000e+00 +57.000000,6.880278000000e+00 +58.000000,6.670160000000e+00 +59.000000,6.352563000000e+00 +60.000000,5.903222000000e+00 +61.000000,5.340119000000e+00 +62.000000,4.708741000000e+00 +63.000000,4.065867000000e+00 +64.000000,3.465264000000e+00 +65.000000,2.947499000000e+00 +66.000000,2.534721000000e+00 +67.000000,2.230187000000e+00 +68.000000,2.021434000000e+00 +69.000000,1.885653000000e+00 +70.000000,1.795740000000e+00 +71.000000,1.725763000000e+00 +72.000000,1.655003000000e+00 +73.000000,1.570159000000e+00 +74.000000,1.465782000000e+00 +75.000000,1.343241000000e+00 +76.000000,1.208764000000e+00 +77.000000,1.071092000000e+00 +78.000000,9.392490000000e-01 +79.000000,8.207770000000e-01 +80.000000,7.206280000000e-01 +81.000000,6.407580000000e-01 +82.000000,5.803240000000e-01 +83.000000,5.363190000000e-01 +84.000000,5.044380000000e-01 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--git a/tests/regression/frescox/reference/F4_p_ni78_elastic_100MeV.json b/tests/regression/frescox/reference/F4_p_ni78_elastic_100MeV.json new file mode 100644 index 00000000..aa1360af --- /dev/null +++ b/tests/regression/frescox/reference/F4_p_ni78_elastic_100MeV.json @@ -0,0 +1,72 @@ +{ + "case_id": "F4_p_ni78_elastic_100MeV", + "reference_code": "frescox", + "observable_type": "elastic", + "description": "Frescox-derived proton elastic scattering on 78Ni at Elab = 100 MeV from the repo-local high-energy B1 extension.", + "source_example": "B1-high-el.in", + "reaction": { + "target": { + "A": 78, + "Z": 28, + "name": "78Ni" + }, + "projectile": { + "A": 1, + "Z": 1, + "name": "p" + } + }, + "mass_kwargs": { + "model": "BMA" + }, + "mass_model": "integer_amu", + "kinematics": { + "energy_MeV": 100.0, + "frame": "lab", + "relativistic": false + }, + "optical_potential": { + "kind": "woods_saxon_local", + "scale_radii_by_At_and_Ap": true, + "central": { + "Vv": 40.0, + "rv": 1.2, + "av": 0.65, + "Wv": 10.0, + "rw": 1.2, + "aw": 0.5, + "Wd": 0.0, + "Vd": 0.0, + "rd": 1.2, + "ad": 0.65 + }, + "spin_orbit": { + "Vso": 0.0, + "Wso": 0.0, + "rso": 1.2, + "aso": 0.65 + }, + "coulomb": { + "rC": 1.2 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 80, + "nbasis": 100 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.02, + "atol": 1e-06 + } + }, + "reference_run": { + "code": "frescox", + "version": "7.2-20-ga7f491 (local build)", + "source_output": "tests/regression/frescox/outputs/B1-high-el.out", + "parser": "tests/regression/frescox/tools/parse_frescox.py", + "case_index": 1, + "min_angle_deg": 1.0 + } +} diff --git a/tests/regression/frescox/reference/F5_p_ni78_elastic_200MeV.csv b/tests/regression/frescox/reference/F5_p_ni78_elastic_200MeV.csv new file mode 100644 index 00000000..e188d18d --- /dev/null +++ b/tests/regression/frescox/reference/F5_p_ni78_elastic_200MeV.csv @@ -0,0 +1,185 @@ +# case_id: F5_p_ni78_elastic_200MeV +# reference_code: frescox +# source_example: B1-high-el.in +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +1.000000,3.356934000000e+06 +2.000000,1.282627000000e+05 +3.000000,5.101864000000e+04 +4.000000,4.395952000000e+04 +5.000000,3.486287000000e+04 +6.000000,2.419889000000e+04 +7.000000,1.471243000000e+04 +8.000000,7.747695575000e+03 +9.000000,3.487510021000e+03 +10.000000,1.429765109000e+03 +11.000000,8.029258490000e+02 +12.000000,8.690124300000e+02 +13.000000,1.094165012000e+03 +14.000000,1.196017211000e+03 +15.000000,1.102724360000e+03 +16.000000,8.697379800000e+02 +17.000000,5.956050660000e+02 +18.000000,3.627305340000e+02 +19.000000,2.112047330000e+02 +20.000000,1.400145100000e+02 +21.000000,1.232853220000e+02 +22.000000,1.292372320000e+02 +23.000000,1.337306560000e+02 +24.000000,1.255911080000e+02 +25.000000,1.050539440000e+02 +26.000000,7.865861200000e+01 +27.000000,5.389864800000e+01 +28.000000,3.570836900000e+01 +29.000000,2.536259300000e+01 +30.000000,2.124225800000e+01 +31.000000,2.043911200000e+01 +32.000000,2.026119000000e+01 +33.000000,1.910316600000e+01 +34.000000,1.659113400000e+01 +35.000000,1.321871200000e+01 +36.000000,9.800193000000e+00 +37.000000,7.012627000000e+00 +38.000000,5.163953000000e+00 +39.000000,4.189297000000e+00 +40.000000,3.792199000000e+00 +41.000000,3.624619000000e+00 +42.000000,3.424242000000e+00 +43.000000,3.073146000000e+00 +44.000000,2.583938000000e+00 +45.000000,2.043981000000e+00 +46.000000,1.552707000000e+00 +47.000000,1.177134000000e+00 +48.000000,9.352400000000e-01 +49.000000,8.033960000000e-01 +50.000000,7.367440000000e-01 +51.000000,6.906650000000e-01 +52.000000,6.352200000000e-01 +53.000000,5.597650000000e-01 +54.000000,4.693790000000e-01 +55.000000,3.771080000000e-01 +56.000000,2.960950000000e-01 +57.000000,2.343870000000e-01 +58.000000,1.933010000000e-01 +59.000000,1.687180000000e-01 +60.000000,1.539090000000e-01 +61.000000,1.423810000000e-01 +62.000000,1.297940000000e-01 +63.000000,1.145590000000e-01 +64.000000,9.736000000000e-02 +65.000000,8.008700000000e-02 +66.000000,6.472200000000e-02 +67.000000,5.255900000000e-02 +68.000000,4.391000000000e-02 +69.000000,3.822900000000e-02 +70.000000,3.449400000000e-02 +71.000000,3.163400000000e-02 +72.000000,2.884600000000e-02 +73.000000,2.573900000000e-02 +74.000000,2.230900000000e-02 +75.000000,1.880400000000e-02 +76.000000,1.554900000000e-02 +77.000000,1.280700000000e-02 +78.000000,1.069900000000e-02 +79.000000,9.196000000000e-03 +80.000000,8.160000000000e-03 +81.000000,7.406000000000e-03 +82.000000,6.766000000000e-03 +83.000000,6.124000000000e-03 +84.000000,5.435000000000e-03 +85.000000,4.709000000000e-03 +86.000000,3.992000000000e-03 +87.000000,3.337000000000e-03 +88.000000,2.783000000000e-03 +89.000000,2.349000000000e-03 +90.000000,2.027000000000e-03 +91.000000,1.793000000000e-03 +92.000000,1.616000000000e-03 +93.000000,1.466000000000e-03 +94.000000,1.322000000000e-03 +95.000000,1.174000000000e-03 +96.000000,1.023000000000e-03 +97.000000,8.740000000000e-04 +98.000000,7.360000000000e-04 +99.000000,6.160000000000e-04 +100.000000,5.190000000000e-04 +101.000000,4.430000000000e-04 +102.000000,3.860000000000e-04 +103.000000,3.430000000000e-04 +104.000000,3.090000000000e-04 +105.000000,2.780000000000e-04 +106.000000,2.480000000000e-04 +107.000000,2.180000000000e-04 +108.000000,1.890000000000e-04 +109.000000,1.600000000000e-04 +110.000000,1.340000000000e-04 +111.000000,1.110000000000e-04 +112.000000,9.254658000000e-05 +113.000000,7.803584000000e-05 +114.000000,6.703400000000e-05 +115.000000,5.871506000000e-05 +116.000000,5.218145000000e-05 +117.000000,4.664364000000e-05 +118.000000,4.153598000000e-05 +119.000000,3.655579000000e-05 +120.000000,3.163289000000e-05 +121.000000,2.685948000000e-05 +122.000000,2.241071000000e-05 +123.000000,1.847016000000e-05 +124.000000,1.517190000000e-05 +125.000000,1.257160000000e-05 +126.000000,1.064543000000e-05 +127.000000,9.302746000000e-06 +128.000000,8.406771000000e-06 +129.000000,7.803329000000e-06 +130.000000,7.349245000000e-06 +131.000000,6.929285000000e-06 +132.000000,6.464156000000e-06 +133.000000,5.915870000000e-06 +134.000000,5.285801000000e-06 +135.000000,4.601614000000e-06 +136.000000,3.902716000000e-06 +137.000000,3.232557000000e-06 +138.000000,2.632284000000e-06 +139.000000,2.131383000000e-06 +140.000000,1.742874000000e-06 +141.000000,1.467139000000e-06 +142.000000,1.296303000000e-06 +143.000000,1.214239000000e-06 +144.000000,1.198024000000e-06 +145.000000,1.223260000000e-06 +146.000000,1.267061000000e-06 +147.000000,1.306955000000e-06 +148.000000,1.321677000000e-06 +149.000000,1.295397000000e-06 +150.000000,1.220388000000e-06 +151.000000,1.096998000000e-06 +152.000000,9.339741000000e-07 +153.000000,7.481037000000e-07 +154.000000,5.600230000000e-07 +155.000000,3.884135000000e-07 +156.000000,2.469057000000e-07 +157.000000,1.432149000000e-07 +158.000000,7.845969000000e-08 +159.000000,4.812910000000e-08 +160.000000,4.575815000000e-08 +161.000000,6.627971000000e-08 +162.000000,1.066333000000e-07 +163.000000,1.648733000000e-07 +164.000000,2.386904000000e-07 +165.000000,3.226997000000e-07 +166.000000,4.061501000000e-07 +167.000000,4.740898000000e-07 +168.000000,5.113446000000e-07 +169.000000,5.064247000000e-07 +170.000000,4.551736000000e-07 +171.000000,3.645303000000e-07 +172.000000,2.530762000000e-07 +173.000000,1.455580000000e-07 +174.000000,6.470973000000e-08 +175.000000,2.530076000000e-08 +176.000000,3.063753000000e-08 +177.000000,7.063508000000e-08 +178.000000,1.242767000000e-07 +179.000000,1.679318000000e-07 +179.990000,1.844809000000e-07 diff --git a/tests/regression/frescox/reference/F5_p_ni78_elastic_200MeV.json b/tests/regression/frescox/reference/F5_p_ni78_elastic_200MeV.json new file mode 100644 index 00000000..8daf3a72 --- /dev/null +++ b/tests/regression/frescox/reference/F5_p_ni78_elastic_200MeV.json @@ -0,0 +1,72 @@ +{ + "case_id": "F5_p_ni78_elastic_200MeV", + "reference_code": "frescox", + "observable_type": "elastic", + "description": "Frescox-derived proton elastic scattering on 78Ni at Elab = 200 MeV from the repo-local high-energy B1 extension.", + "source_example": "B1-high-el.in", + "reaction": { + "target": { + "A": 78, + "Z": 28, + "name": "78Ni" + }, + "projectile": { + "A": 1, + "Z": 1, + "name": "p" + } + }, + "mass_kwargs": { + "model": "BMA" + }, + "mass_model": "integer_amu", + "kinematics": { + "energy_MeV": 200.0, + "frame": "lab", + "relativistic": false + }, + "optical_potential": { + "kind": "woods_saxon_local", + "scale_radii_by_At_and_Ap": true, + "central": { + "Vv": 40.0, + "rv": 1.2, + "av": 0.65, + "Wv": 10.0, + "rw": 1.2, + "aw": 0.5, + "Wd": 0.0, + "Vd": 0.0, + "rd": 1.2, + "ad": 0.65 + }, + "spin_orbit": { + "Vso": 0.0, + "Wso": 0.0, + "rso": 1.2, + "aso": 0.65 + }, + "coulomb": { + "rC": 1.2 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 100, + "nbasis": 100 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.02, + "atol": 1e-06 + } + }, + "reference_run": { + "code": "frescox", + "version": "7.2-20-ga7f491 (local build)", + "source_output": "tests/regression/frescox/outputs/B1-high-el.out", + "parser": "tests/regression/frescox/tools/parse_frescox.py", + "case_index": 2, + "min_angle_deg": 1.0 + } +} diff --git a/tests/regression/frescox/reference/F6_n_ni78_elastic_49p35MeV.csv b/tests/regression/frescox/reference/F6_n_ni78_elastic_49p35MeV.csv new file mode 100644 index 00000000..e170e2b4 --- /dev/null +++ b/tests/regression/frescox/reference/F6_n_ni78_elastic_49p35MeV.csv @@ -0,0 +1,185 @@ +# case_id: F6_n_ni78_elastic_49p35MeV +# reference_code: frescox +# source_example: B1_n-high-el.in +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +1.000000,1.888575000000e+04 +2.000000,1.823932000000e+04 +3.000000,1.720342000000e+04 +4.000000,1.583668000000e+04 +5.000000,1.421443000000e+04 +6.000000,1.242267000000e+04 +7.000000,1.055150000000e+04 +8.000000,8.688563208000e+03 +9.000000,6.913013159000e+03 +10.000000,5.290645887000e+03 +11.000000,3.870499188000e+03 +12.000000,2.683122583000e+03 +13.000000,1.740535671000e+03 +14.000000,1.037718001000e+03 +15.000000,5.553368720000e+02 +16.000000,2.633256230000e+02 +17.000000,1.248818790000e+02 +18.000000,1.004627080000e+02 +19.000000,1.514054460000e+02 +20.000000,2.428881940000e+02 +21.000000,3.460490560000e+02 +22.000000,4.391936920000e+02 +23.000000,5.081235730000e+02 +24.000000,5.457019070000e+02 +25.000000,5.508335890000e+02 +26.000000,5.270668230000e+02 +27.000000,4.810279300000e+02 +28.000000,4.208812410000e+02 +29.000000,3.549687970000e+02 +30.000000,2.907370050000e+02 +31.000000,2.340064900000e+02 +32.000000,1.885934780000e+02 +33.000000,1.562510620000e+02 +34.000000,1.368696790000e+02 +35.000000,1.288593620000e+02 +36.000000,1.296315210000e+02 +37.000000,1.361033260000e+02 +38.000000,1.451607890000e+02 +39.000000,1.540343450000e+02 +40.000000,1.605601970000e+02 +41.000000,1.633193190000e+02 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+172.000000,1.688500000000e+00 +173.000000,2.405347000000e+00 +174.000000,3.193607000000e+00 +175.000000,4.000600000000e+00 +176.000000,4.768372000000e+00 +177.000000,5.439079000000e+00 +178.000000,5.960517000000e+00 +179.000000,6.291213000000e+00 +179.990000,6.404497000000e+00 diff --git a/tests/regression/frescox/reference/F6_n_ni78_elastic_49p35MeV.json b/tests/regression/frescox/reference/F6_n_ni78_elastic_49p35MeV.json new file mode 100644 index 00000000..5477b5f6 --- /dev/null +++ b/tests/regression/frescox/reference/F6_n_ni78_elastic_49p35MeV.json @@ -0,0 +1,69 @@ +{ + "case_id": "F6_n_ni78_elastic_49p35MeV", + "reference_code": "frescox", + "observable_type": "elastic", + "description": "Frescox-derived neutron elastic scattering on 78Ni at Elab = 49.35 MeV from the repo-local B1_n high-energy deck.", + "source_example": "B1_n-high-el.in", + "reaction": { + "target": { + "A": 78, + "Z": 28, + "name": "78Ni" + }, + "projectile": { + "A": 1, + "Z": 0, + "name": "n" + } + }, + "mass_kwargs": { + "model": "BMA" + }, + "mass_model": "integer_amu", + "kinematics": { + "energy_MeV": 49.35, + "frame": "lab", + "relativistic": false + }, + "optical_potential": { + "kind": "woods_saxon_local", + "scale_radii_by_At_and_Ap": true, + "central": { + "Vv": 40.0, + "rv": 1.2, + "av": 0.65, + "Wv": 10.0, + "rw": 1.2, + "aw": 0.5, + "Wd": 0.0, + "Vd": 0.0, + "rd": 1.2, + "ad": 0.65 + }, + "spin_orbit": { + "Vso": 0.0, + "Wso": 0.0, + "rso": 1.2, + "aso": 0.65 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 80, + "nbasis": 80 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.02, + "atol": 1e-06 + } + }, + "reference_run": { + "code": "frescox", + "version": "7.2-20-ga7f491 (local build)", + "source_output": "tests/regression/frescox/outputs/B1_n-high-el.out", + "parser": "tests/regression/frescox/tools/parse_frescox.py", + "case_index": 0, + "min_angle_deg": 1.0 + } +} diff --git a/tests/regression/frescox/reference/F7_n_ni78_elastic_100MeV.csv b/tests/regression/frescox/reference/F7_n_ni78_elastic_100MeV.csv new file mode 100644 index 00000000..e85eea57 --- /dev/null +++ b/tests/regression/frescox/reference/F7_n_ni78_elastic_100MeV.csv @@ -0,0 +1,185 @@ +# case_id: F7_n_ni78_elastic_100MeV +# reference_code: frescox +# source_example: B1_n-high-el.in +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +1.000000,4.242740000000e+04 +2.000000,3.996269000000e+04 +3.000000,3.613296000000e+04 +4.000000,3.131239000000e+04 +5.000000,2.594704000000e+04 +6.000000,2.049417000000e+04 +7.000000,1.536464000000e+04 +8.000000,1.087743000000e+04 +9.000000,7.232558438000e+03 +10.000000,4.504594672000e+03 +11.000000,2.655290134000e+03 +12.000000,1.560435843000e+03 +13.000000,1.044412282000e+03 +14.000000,9.154781290000e+02 +15.000000,9.959173210000e+02 +16.000000,1.143139973000e+03 +17.000000,1.260192748000e+03 +18.000000,1.296333961000e+03 +19.000000,1.239960175000e+03 +20.000000,1.107023915000e+03 +21.000000,9.281509020000e+02 +22.000000,7.371078250000e+02 +23.000000,5.623414620000e+02 +24.000000,4.222791770000e+02 +25.000000,3.241791530000e+02 +26.000000,2.656936360000e+02 +27.000000,2.380143850000e+02 +28.000000,2.294793480000e+02 +29.000000,2.287505410000e+02 +30.000000,2.270190170000e+02 +31.000000,2.190518020000e+02 +32.000000,2.031907560000e+02 +33.000000,1.806017260000e+02 +34.000000,1.541449900000e+02 +35.000000,1.272125680000e+02 +36.000000,1.027872920000e+02 +37.000000,8.285999800000e+01 +38.000000,6.822742300000e+01 +39.000000,5.860685100000e+01 +40.000000,5.295466500000e+01 +41.000000,4.986447500000e+01 +42.000000,4.793820700000e+01 +43.000000,4.605870000000e+01 +44.000000,4.353268700000e+01 +45.000000,4.010874900000e+01 +46.000000,3.589976200000e+01 +47.000000,3.125133600000e+01 +48.000000,2.659777500000e+01 +49.000000,2.233860100000e+01 +50.000000,1.875559500000e+01 +51.000000,1.597668400000e+01 +52.000000,1.398175000000e+01 +53.000000,1.263813500000e+01 +54.000000,1.175083200000e+01 +55.000000,1.111328100000e+01 +56.000000,1.054825000000e+01 +57.000000,9.933035000000e+00 +58.000000,9.207826000000e+00 +59.000000,8.369783000000e+00 +60.000000,7.457531000000e+00 +61.000000,6.531519000000e+00 +62.000000,5.655102000000e+00 +63.000000,4.879851000000e+00 +64.000000,4.236892000000e+00 +65.000000,3.734447000000e+00 +66.000000,3.360536000000e+00 +67.000000,3.089019000000e+00 +68.000000,2.887041000000e+00 +69.000000,2.722074000000e+00 +70.000000,2.567341000000e+00 +71.000000,2.404960000000e+00 +72.000000,2.226766000000e+00 +73.000000,2.033188000000e+00 +74.000000,1.830854000000e+00 +75.000000,1.629644000000e+00 +76.000000,1.439859000000e+00 +77.000000,1.269993000000e+00 +78.000000,1.125354000000e+00 +79.000000,1.007593000000e+00 +80.000000,9.150110000000e-01 +81.000000,8.434080000000e-01 +82.000000,7.871980000000e-01 +83.000000,7.405340000000e-01 +84.000000,6.982540000000e-01 +85.000000,6.565030000000e-01 +86.000000,6.130220000000e-01 +87.000000,5.671040000000e-01 +88.000000,5.193200000000e-01 +89.000000,4.710900000000e-01 +90.000000,4.242220000000e-01 +91.000000,3.804840000000e-01 +92.000000,3.412780000000e-01 +93.000000,3.074520000000e-01 +94.000000,2.792310000000e-01 +95.000000,2.562700000000e-01 +96.000000,2.377860000000e-01 +97.000000,2.227300000000e-01 +98.000000,2.099710000000e-01 +99.000000,1.984590000000e-01 +100.000000,1.873470000000e-01 +101.000000,1.760630000000e-01 +102.000000,1.643290000000e-01 +103.000000,1.521390000000e-01 +104.000000,1.397050000000e-01 +105.000000,1.273730000000e-01 +106.000000,1.155470000000e-01 +107.000000,1.046040000000e-01 +108.000000,9.483800000000e-02 +109.000000,8.641700000000e-02 +110.000000,7.936900000000e-02 +111.000000,7.359100000000e-02 +112.000000,6.887300000000e-02 +113.000000,6.494600000000e-02 +114.000000,6.151900000000e-02 +115.000000,5.833000000000e-02 +116.000000,5.517500000000e-02 +117.000000,5.192900000000e-02 +118.000000,4.855100000000e-02 +119.000000,4.507300000000e-02 +120.000000,4.157600000000e-02 +121.000000,3.816900000000e-02 +122.000000,3.495400000000e-02 +123.000000,3.201100000000e-02 +124.000000,2.938000000000e-02 +125.000000,2.706200000000e-02 +126.000000,2.502600000000e-02 +127.000000,2.322200000000e-02 +128.000000,2.159500000000e-02 +129.000000,2.010300000000e-02 +130.000000,1.872300000000e-02 +131.000000,1.745300000000e-02 +132.000000,1.630400000000e-02 +133.000000,1.529300000000e-02 +134.000000,1.442600000000e-02 +135.000000,1.369300000000e-02 +136.000000,1.306100000000e-02 +137.000000,1.247800000000e-02 +138.000000,1.188200000000e-02 +139.000000,1.121600000000e-02 +140.000000,1.044100000000e-02 +141.000000,9.553000000000e-03 +142.000000,8.581000000000e-03 +143.000000,7.589000000000e-03 +144.000000,6.660000000000e-03 +145.000000,5.880000000000e-03 +146.000000,5.316000000000e-03 +147.000000,4.998000000000e-03 +148.000000,4.913000000000e-03 +149.000000,5.001000000000e-03 +150.000000,5.167000000000e-03 +151.000000,5.304000000000e-03 +152.000000,5.316000000000e-03 +153.000000,5.138000000000e-03 +154.000000,4.757000000000e-03 +155.000000,4.216000000000e-03 +156.000000,3.603000000000e-03 +157.000000,3.032000000000e-03 +158.000000,2.619000000000e-03 +159.000000,2.444000000000e-03 +160.000000,2.537000000000e-03 +161.000000,2.862000000000e-03 +162.000000,3.319000000000e-03 +163.000000,3.769000000000e-03 +164.000000,4.060000000000e-03 +165.000000,4.071000000000e-03 +166.000000,3.742000000000e-03 +167.000000,3.102000000000e-03 +168.000000,2.270000000000e-03 +169.000000,1.446000000000e-03 +170.000000,8.730000000000e-04 +171.000000,7.950000000000e-04 +172.000000,1.399000000000e-03 +173.000000,2.773000000000e-03 +174.000000,4.881000000000e-03 +175.000000,7.547000000000e-03 +176.000000,1.048200000000e-02 +177.000000,1.332500000000e-02 +178.000000,1.569700000000e-02 +179.000000,1.727000000000e-02 +179.990000,1.782100000000e-02 diff --git a/tests/regression/frescox/reference/F7_n_ni78_elastic_100MeV.json b/tests/regression/frescox/reference/F7_n_ni78_elastic_100MeV.json new file mode 100644 index 00000000..fa3a9237 --- /dev/null +++ b/tests/regression/frescox/reference/F7_n_ni78_elastic_100MeV.json @@ -0,0 +1,69 @@ +{ + "case_id": "F7_n_ni78_elastic_100MeV", + "reference_code": "frescox", + "observable_type": "elastic", + "description": "Frescox-derived neutron elastic scattering on 78Ni at Elab = 100 MeV from the repo-local B1_n high-energy deck.", + "source_example": "B1_n-high-el.in", + "reaction": { + "target": { + "A": 78, + "Z": 28, + "name": "78Ni" + }, + "projectile": { + "A": 1, + "Z": 0, + "name": "n" + } + }, + "mass_kwargs": { + "model": "BMA" + }, + "mass_model": "integer_amu", + "kinematics": { + "energy_MeV": 100.0, + "frame": "lab", + "relativistic": false + }, + "optical_potential": { + "kind": "woods_saxon_local", + "scale_radii_by_At_and_Ap": true, + "central": { + "Vv": 40.0, + "rv": 1.2, + "av": 0.65, + "Wv": 10.0, + "rw": 1.2, + "aw": 0.5, + "Wd": 0.0, + "Vd": 0.0, + "rd": 1.2, + "ad": 0.65 + }, + "spin_orbit": { + "Vso": 0.0, + "Wso": 0.0, + "rso": 1.2, + "aso": 0.65 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 80, + "nbasis": 100 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.02, + "atol": 1e-06 + } + }, + "reference_run": { + "code": "frescox", + "version": "7.2-20-ga7f491 (local build)", + "source_output": "tests/regression/frescox/outputs/B1_n-high-el.out", + "parser": "tests/regression/frescox/tools/parse_frescox.py", + "case_index": 1, + "min_angle_deg": 1.0 + } +} diff --git a/tests/regression/frescox/reference/F8_n_ni78_elastic_200MeV.csv b/tests/regression/frescox/reference/F8_n_ni78_elastic_200MeV.csv new file mode 100644 index 00000000..8560cdca --- /dev/null +++ b/tests/regression/frescox/reference/F8_n_ni78_elastic_200MeV.csv @@ -0,0 +1,185 @@ +# case_id: F8_n_ni78_elastic_200MeV +# reference_code: frescox +# source_example: B1_n-high-el.in +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +1.000000,8.562027000000e+04 +2.000000,7.717207000000e+04 +3.000000,6.474013000000e+04 +4.000000,5.034814000000e+04 +5.000000,3.608286000000e+04 +6.000000,2.364107000000e+04 +7.000000,1.403921000000e+04 +8.000000,7.543123524000e+03 +9.000000,3.797955472000e+03 +10.000000,2.080394862000e+03 +11.000000,1.574192799000e+03 +12.000000,1.586296524000e+03 +13.000000,1.660323642000e+03 +14.000000,1.587517822000e+03 +15.000000,1.346545746000e+03 +16.000000,1.015206067000e+03 +17.000000,6.910965490000e+02 +18.000000,4.421383530000e+02 +19.000000,2.904353200000e+02 +20.000000,2.206651940000e+02 +21.000000,1.994729910000e+02 +22.000000,1.940521900000e+02 +23.000000,1.832547520000e+02 +24.000000,1.600378870000e+02 +25.000000,1.277633760000e+02 +26.000000,9.416456300000e+01 +27.000000,6.616183800000e+01 +28.000000,4.713571600000e+01 +29.000000,3.670958900000e+01 +30.000000,3.212718300000e+01 +31.000000,3.006459600000e+01 +32.000000,2.800437100000e+01 +33.000000,2.480441500000e+01 +34.000000,2.054368500000e+01 +35.000000,1.597222400000e+01 +36.000000,1.192083200000e+01 +37.000000,8.908113000000e+00 +38.000000,7.019417000000e+00 +39.000000,6.001965000000e+00 +40.000000,5.459677000000e+00 +41.000000,5.036664000000e+00 +42.000000,4.523372000000e+00 +43.000000,3.872599000000e+00 +44.000000,3.151029000000e+00 +45.000000,2.466863000000e+00 +46.000000,1.908601000000e+00 +47.000000,1.513504000000e+00 +48.000000,1.266824000000e+00 +49.000000,1.121236000000e+00 +50.000000,1.022234000000e+00 +51.000000,9.280780000000e-01 +52.000000,8.188040000000e-01 +53.000000,6.946760000000e-01 +54.000000,5.681350000000e-01 +55.000000,4.542620000000e-01 +56.000000,3.636230000000e-01 +57.000000,2.991890000000e-01 +58.000000,2.570780000000e-01 +59.000000,2.295610000000e-01 +60.000000,2.085430000000e-01 +61.000000,1.881290000000e-01 +62.000000,1.656790000000e-01 +63.000000,1.414580000000e-01 +64.000000,1.174410000000e-01 +65.000000,9.593800000000e-02 +66.000000,7.856300000000e-02 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Elab = 200 MeV from the repo-local B1_n high-energy deck.", + "source_example": "B1_n-high-el.in", + "reaction": { + "target": { + "A": 78, + "Z": 28, + "name": "78Ni" + }, + "projectile": { + "A": 1, + "Z": 0, + "name": "n" + } + }, + "mass_kwargs": { + "model": "BMA" + }, + "mass_model": "integer_amu", + "kinematics": { + "energy_MeV": 200.0, + "frame": "lab", + "relativistic": false + }, + "optical_potential": { + "kind": "woods_saxon_local", + "scale_radii_by_At_and_Ap": true, + "central": { + "Vv": 40.0, + "rv": 1.2, + "av": 0.65, + "Wv": 10.0, + "rw": 1.2, + "aw": 0.5, + "Wd": 0.0, + "Vd": 0.0, + "rd": 1.2, + "ad": 0.65 + }, + "spin_orbit": { + "Vso": 0.0, + "Wso": 0.0, + "rso": 1.2, + "aso": 0.65 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 100, + "nbasis": 100 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.02, + "atol": 1e-06 + } + }, + "reference_run": { + "code": "frescox", + "version": "7.2-20-ga7f491 (local build)", + "source_output": "tests/regression/frescox/outputs/B1_n-high-el.out", + "parser": "tests/regression/frescox/tools/parse_frescox.py", + "case_index": 2, + "min_angle_deg": 1.0 + } +} diff --git a/tests/regression/frescox/tools/parse_frescox.py b/tests/regression/frescox/tools/parse_frescox.py new file mode 100644 index 00000000..62b1c383 --- /dev/null +++ b/tests/regression/frescox/tools/parse_frescox.py @@ -0,0 +1,75 @@ +from __future__ import annotations + +import argparse +import json +import re +from pathlib import Path + +ANGLE_RE = re.compile(r"^\s*([0-9.]+) deg\.: X-S =\s*([0-9.E+-]+) mb/sr,") + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--output", type=Path, required=True) + parser.add_argument("--metadata", type=Path, required=True) + parser.add_argument("--csv-out", type=Path, required=True) + parser.add_argument("--case-index", type=int, default=0) + parser.add_argument("--min-angle-deg", type=float, default=0.0) + return parser.parse_args() + + +def extract_block(text: str, case_index: int) -> str: + starts = [ + match.start() for match in re.finditer("CROSS SECTIONS FOR OUTGOING", text) + ] + if case_index < 0 or case_index >= len(starts): + raise ValueError( + f"case-index {case_index} is out of range for " + f"{len(starts)} cross-section blocks" + ) + end = starts[case_index + 1] if case_index + 1 < len(starts) else len(text) + return text[starts[case_index] : end] + + +def parse_rows(block: str, min_angle_deg: float) -> list[tuple[float, float]]: + rows: list[tuple[float, float]] = [] + for line in block.splitlines(): + match = ANGLE_RE.match(line) + if match is None: + continue + angle_deg = float(match.group(1)) + if angle_deg < min_angle_deg: + continue + rows.append((angle_deg, float(match.group(2)))) + if not rows: + raise ValueError( + "no angular-distribution rows were parsed from the requested block" + ) + return rows + + +def write_csv( + csv_out: Path, metadata: dict[str, object], rows: list[tuple[float, float]] +) -> None: + csv_out.parent.mkdir(parents=True, exist_ok=True) + lines = [ + f"# case_id: {metadata['case_id']}", + f"# reference_code: {metadata['reference_code']}", + f"# source_example: {metadata['source_example']}", + f"# observable: {metadata['observable_type']}", + "theta_cm_deg,dsdo_mb_per_sr", + ] + lines.extend(f"{angle_deg:.6f},{dsdo:.12e}" for angle_deg, dsdo in rows) + csv_out.write_text("\n".join(lines) + "\n") + + +def main() -> None: + args = parse_args() + metadata = json.loads(args.metadata.read_text()) + block = extract_block(args.output.read_text(), args.case_index) + rows = parse_rows(block, args.min_angle_deg) + write_csv(args.csv_out, metadata, rows) + + +if __name__ == "__main__": + main() diff --git a/tests/regression/manifest.json b/tests/regression/manifest.json new file mode 100644 index 00000000..37f556c4 --- /dev/null +++ b/tests/regression/manifest.json @@ -0,0 +1,74 @@ +[ + { + "case_id": "F1_p_ni78_elastic", + "reference_code": "frescox", + "csv": "frescox/reference/F1_p_ni78_elastic.csv", + "json": "frescox/reference/F1_p_ni78_elastic.json" + }, + { + "case_id": "F2_p_ni78_elastic_11MeV", + "reference_code": "frescox", + "csv": "frescox/reference/F2_p_ni78_elastic_11MeV.csv", + "json": "frescox/reference/F2_p_ni78_elastic_11MeV.json" + }, + { + "case_id": "F3_p_ni78_elastic_49p35MeV", + "reference_code": "frescox", + "csv": "frescox/reference/F3_p_ni78_elastic_49p35MeV.csv", + "json": "frescox/reference/F3_p_ni78_elastic_49p35MeV.json" + }, + { + "case_id": "F4_p_ni78_elastic_100MeV", + "reference_code": "frescox", + "csv": "frescox/reference/F4_p_ni78_elastic_100MeV.csv", + "json": "frescox/reference/F4_p_ni78_elastic_100MeV.json" + }, + { + "case_id": "F5_p_ni78_elastic_200MeV", + "reference_code": "frescox", + "csv": "frescox/reference/F5_p_ni78_elastic_200MeV.csv", + "json": "frescox/reference/F5_p_ni78_elastic_200MeV.json" + }, + { + "case_id": "F6_n_ni78_elastic_49p35MeV", + "reference_code": "frescox", + "csv": "frescox/reference/F6_n_ni78_elastic_49p35MeV.csv", + "json": "frescox/reference/F6_n_ni78_elastic_49p35MeV.json" + }, + { + "case_id": "F7_n_ni78_elastic_100MeV", + "reference_code": "frescox", + "csv": "frescox/reference/F7_n_ni78_elastic_100MeV.csv", + "json": "frescox/reference/F7_n_ni78_elastic_100MeV.json" + }, + { + "case_id": "F8_n_ni78_elastic_200MeV", + "reference_code": "frescox", + "csv": "frescox/reference/F8_n_ni78_elastic_200MeV.csv", + "json": "frescox/reference/F8_n_ni78_elastic_200MeV.json" + }, + { + "case_id": "T1_jlm_elastic", + "reference_code": "talys", + "csv": "talys/reference/T1_jlm_elastic.csv", + "json": "talys/reference/T1_jlm_elastic.json" + }, + { + "case_id": "T2_jlmb_elastic", + "reference_code": "talys", + "csv": "talys/reference/T2_jlmb_elastic.csv", + "json": "talys/reference/T2_jlmb_elastic.json" + }, + { + "case_id": "T3_jlmb_proton_elastic", + "reference_code": "talys", + "csv": "talys/reference/T3_jlmb_proton_elastic.csv", + "json": "talys/reference/T3_jlmb_proton_elastic.json" + }, + { + "case_id": "T4_jlmb2_proton_elastic", + "reference_code": "talys", + "csv": "talys/reference/T4_jlmb2_proton_elastic.csv", + "json": "talys/reference/T4_jlmb2_proton_elastic.json" + } +] diff --git a/tests/regression/talys/README.md b/tests/regression/talys/README.md new file mode 100644 index 00000000..529aefed --- /dev/null +++ b/tests/regression/talys/README.md @@ -0,0 +1,49 @@ +# TALYS regression references + +Four [TALYS](https://github.com/arjankoning1/talys) 2.2 elastic-scattering +cases for `120Sn` at 10 MeV are committed and active in the manifest. All +adapt samples from `talys/samples/n-Sn120-omp-JLM/`. + +| Case | Projectile | `jlmmode` | Source input | +|------|-----------|-----------|-------------| +| T1 | n | 0 | `inputs/T1_jlm_elastic.inp` | +| T2 | n | 2 | `inputs/T2_jlmb_elastic.inp` | +| T3 | p | 0 | `inputs/T3_jlmb_proton_elastic.inp` | +| T4 | p | 2 | `inputs/T4_jlmb2_proton_elastic.inp` | + +All inputs enable `outangle y` and `fileelastic y`; the parser reads the +`direct` column from the resulting `[np][np]0010.000ang.L00` YANDF file. + +## Building TALYS locally + +```bash +git clone --depth=1 https://github.com/arjankoning1/talys.git /tmp/jitr-talys +cd /tmp/jitr-talys +make +``` + +The resulting executable is `./source/talys`. Copy or symlink it to +`talys/bin/talys` in the repository root so the regeneration commands below +work unchanged. + +## Regenerating a CSV reference + +From a temporary work directory, with `REPO_ROOT` pointing to the repo root: + +```bash +REPO_ROOT=/path/to/jitr +CASE=T2_jlmb_elastic # change for each case +OUTPUT=nn0010.000ang.L00 # nn* for neutron, pp* for proton + +cp "$REPO_ROOT"/tests/regression/talys/inputs/${CASE}.inp . +cp "$REPO_ROOT"/tests/regression/talys/inputs/${CASE}.energies . +"$REPO_ROOT"/talys/bin/talys < ${CASE}.inp > talys.out + +uv run python "$REPO_ROOT"/tests/regression/talys/tools/parse_talys.py \ + --output "$OUTPUT" \ + --metadata "$REPO_ROOT"/tests/regression/talys/reference/${CASE}.json \ + --csv-out "$REPO_ROOT"/tests/regression/talys/reference/${CASE}.csv \ + --column direct +``` + +Substitute the appropriate `CASE` and `OUTPUT` filename for each of T1–T4. diff --git a/tests/regression/talys/inputs/T1_jlm_elastic.energies b/tests/regression/talys/inputs/T1_jlm_elastic.energies new file mode 100644 index 00000000..c556bbb3 --- /dev/null +++ b/tests/regression/talys/inputs/T1_jlm_elastic.energies @@ -0,0 +1 @@ +10. diff --git a/tests/regression/talys/inputs/T1_jlm_elastic.inp b/tests/regression/talys/inputs/T1_jlm_elastic.inp new file mode 100644 index 00000000..8ab92a34 --- /dev/null +++ b/tests/regression/talys/inputs/T1_jlm_elastic.inp @@ -0,0 +1,15 @@ +# +# T1_jlm_elastic +# +# TALYS JLMB (jlmmode 0, default) elastic scattering on 120Sn at En = 10 MeV. +# Adapted from talys/samples/n-Sn120-omp-JLM/org/talys.inp. +# Adds outangle y and fileelastic y to produce angular distributions. +# jlmmode defaults to 0 (alam = 0.44, Eq. 11.47 standard). +# +projectile n +element sn +mass 120 +energy T1_jlm_elastic.energies +jlmomp y +outangle y +fileelastic y diff --git a/tests/regression/talys/inputs/T2_jlmb_elastic.energies b/tests/regression/talys/inputs/T2_jlmb_elastic.energies new file mode 100644 index 00000000..b7d50aca --- /dev/null +++ b/tests/regression/talys/inputs/T2_jlmb_elastic.energies @@ -0,0 +1 @@ + 1.000E+01 diff --git a/tests/regression/talys/inputs/T2_jlmb_elastic.inp b/tests/regression/talys/inputs/T2_jlmb_elastic.inp new file mode 100644 index 00000000..d820e053 --- /dev/null +++ b/tests/regression/talys/inputs/T2_jlmb_elastic.inp @@ -0,0 +1,16 @@ +# +# T2_jlmb_elastic +# +# Adapted from TALYS sample n-Sn120-omp-JLM +# +projectile n +element sn +mass 120 +energy T2_jlmb_elastic.energies +# +# Parameters +# +jlmomp y +jlmmode 2 +outangle y +fileelastic y diff --git a/tests/regression/talys/inputs/T3_jlmb_proton_elastic.energies b/tests/regression/talys/inputs/T3_jlmb_proton_elastic.energies new file mode 100644 index 00000000..c556bbb3 --- /dev/null +++ b/tests/regression/talys/inputs/T3_jlmb_proton_elastic.energies @@ -0,0 +1 @@ +10. diff --git a/tests/regression/talys/inputs/T3_jlmb_proton_elastic.inp b/tests/regression/talys/inputs/T3_jlmb_proton_elastic.inp new file mode 100644 index 00000000..e709b0ef --- /dev/null +++ b/tests/regression/talys/inputs/T3_jlmb_proton_elastic.inp @@ -0,0 +1,15 @@ +# +# T3_jlmb_proton_elastic +# +# TALYS JLMB (jlmmode 0, default) proton elastic scattering on 120Sn at Ep = 10 MeV. +# Tests the Coulomb pathway: jitr must supply density-derived Coulomb to both +# the JLM delta_C correction and workspace.xs(coulomb_potential=...). +# jlmmode defaults to 0 (alam = 0.44, Eq. 11.47 standard). +# +projectile p +element sn +mass 120 +energy T3_jlmb_proton_elastic.energies +jlmomp y +outangle y +fileelastic y diff --git a/tests/regression/talys/inputs/T4_jlmb2_proton_elastic.energies b/tests/regression/talys/inputs/T4_jlmb2_proton_elastic.energies new file mode 100644 index 00000000..c556bbb3 --- /dev/null +++ b/tests/regression/talys/inputs/T4_jlmb2_proton_elastic.energies @@ -0,0 +1 @@ +10. diff --git a/tests/regression/talys/inputs/T4_jlmb2_proton_elastic.inp b/tests/regression/talys/inputs/T4_jlmb2_proton_elastic.inp new file mode 100644 index 00000000..88bf8e1d --- /dev/null +++ b/tests/regression/talys/inputs/T4_jlmb2_proton_elastic.inp @@ -0,0 +1,14 @@ +# +# T4_jlmb2_proton_elastic +# +# TALYS JLMB (jlmmode 2) proton elastic scattering on 120Sn at Ep = 10 MeV. +# Tests Coulomb + updated imaginary normalization (alam = 1.375*exp(-0.2*sqrt(E))). +# +projectile p +element sn +mass 120 +energy T4_jlmb2_proton_elastic.energies +jlmomp y +jlmmode 2 +outangle y +fileelastic y diff --git a/tests/regression/talys/reference/T1_jlm_elastic.csv b/tests/regression/talys/reference/T1_jlm_elastic.csv new file mode 100644 index 00000000..ef383ca6 --- /dev/null +++ b/tests/regression/talys/reference/T1_jlm_elastic.csv @@ -0,0 +1,96 @@ +# case_id: T1_jlm_elastic +# reference_code: talys +# source_example: T1_jlm_elastic.inp +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +0.000000,6.329730000000e+03 +2.000000,6.264460000000e+03 +4.000000,6.072100000000e+03 +6.000000,5.762730000000e+03 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+74.000000,2.231930000000e+01 +76.000000,1.415430000000e+01 +78.000000,9.069430000000e+00 +80.000000,6.706700000000e+00 +82.000000,6.617080000000e+00 +84.000000,8.302770000000e+00 +86.000000,1.125140000000e+01 +88.000000,1.496260000000e+01 +90.000000,1.896880000000e+01 +92.000000,2.285210000000e+01 +94.000000,2.625710000000e+01 +96.000000,2.890330000000e+01 +98.000000,3.059370000000e+01 +100.000000,3.122190000000e+01 +102.000000,3.077430000000e+01 +104.000000,2.932750000000e+01 +106.000000,2.703920000000e+01 +108.000000,2.413300000000e+01 +110.000000,2.087620000000e+01 +112.000000,1.755350000000e+01 +114.000000,1.443880000000e+01 +116.000000,1.176720000000e+01 +118.000000,9.711130000000e+00 +120.000000,8.364440000000e+00 +122.000000,7.735000000000e+00 +124.000000,7.748490000000e+00 +126.000000,8.262350000000e+00 +128.000000,9.088430000000e+00 +130.000000,1.002120000000e+01 +132.000000,1.086790000000e+01 +134.000000,1.147620000000e+01 +136.000000,1.175570000000e+01 +138.000000,1.169010000000e+01 +140.000000,1.133850000000e+01 +142.000000,1.082600000000e+01 +144.000000,1.032480000000e+01 +146.000000,1.002850000000e+01 +148.000000,1.012440000000e+01 +150.000000,1.076700000000e+01 +152.000000,1.205680000000e+01 +154.000000,1.402720000000e+01 +156.000000,1.664120000000e+01 +158.000000,1.979770000000e+01 +160.000000,2.334570000000e+01 +162.000000,2.710410000000e+01 +164.000000,3.088360000000e+01 +166.000000,3.450670000000e+01 +168.000000,3.782370000000e+01 +170.000000,4.072210000000e+01 +172.000000,4.312890000000e+01 +174.000000,4.500610000000e+01 +176.000000,4.634160000000e+01 +178.000000,4.713830000000e+01 +180.000000,4.740280000000e+01 diff --git a/tests/regression/talys/reference/T1_jlm_elastic.json b/tests/regression/talys/reference/T1_jlm_elastic.json new file mode 100644 index 00000000..fe4b018e --- /dev/null +++ b/tests/regression/talys/reference/T1_jlm_elastic.json @@ -0,0 +1,61 @@ +{ + "case_id": "T1_jlm_elastic", + "reference_code": "talys", + "observable_type": "elastic", + "description": "TALYS JLMB (jlmmode 0, default) elastic scattering on 120Sn at En = 10 MeV. jlmmode 0 uses alam=0.44 (Eq. 11.47 standard), exactly matching jitr lambda_w1 mode 0. JLMB spin-orbit (Scheerbaum prescription) included.", + "source_example": "T1_jlm_elastic.inp", + "reaction": { + "target": { + "A": 120, + "Z": 50, + "name": "120Sn" + }, + "projectile": { + "A": 1, + "Z": 0, + "name": "n" + } + }, + "kinematics": { + "energy_MeV": 10.0, + "frame": "lab", + "relativistic": true + }, + "optical_potential": { + "kind": "jlm", + "variant": "jlmb", + "parameterization": "talys", + "density_model": "d1m", + "radialmodel": 2, + "jlmmode": 0, + "folding_widths_fm": { + "real": 1.25, + "imag": 1.35 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 30, + "nbasis": 50 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.10, + "atol": 50.0 + } + }, + "reference_run": { + "code": "talys", + "version": "TALYS-2.2", + "source_sample": "talys/samples/n-Sn120-omp-JLM/org/talys.inp", + "source_mirror": "talys/", + "output_file": "nn0010.000ang.L00", + "parser": "tests/regression/talys/tools/parse_talys.py", + "column": "direct", + "input_overrides": [ + "energy T1_jlm_elastic.energies", + "outangle y", + "fileelastic y" + ] + } +} diff --git a/tests/regression/talys/reference/T2_jlmb_elastic.csv b/tests/regression/talys/reference/T2_jlmb_elastic.csv new file mode 100644 index 00000000..a75665ad --- /dev/null +++ b/tests/regression/talys/reference/T2_jlmb_elastic.csv @@ -0,0 +1,96 @@ +# case_id: T2_jlmb_elastic +# reference_code: talys +# source_example: T2_jlmb_elastic.inp +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +0.000000,6.327860000000e+03 +2.000000,6.263120000000e+03 +4.000000,6.072300000000e+03 +6.000000,5.765310000000e+03 +8.000000,5.357890000000e+03 +10.000000,4.870340000000e+03 +12.000000,4.326120000000e+03 +14.000000,3.750170000000e+03 +16.000000,3.167220000000e+03 +18.000000,2.600270000000e+03 +20.000000,2.069210000000e+03 +22.000000,1.589890000000e+03 +24.000000,1.173470000000e+03 +26.000000,8.262990000000e+02 +28.000000,5.500490000000e+02 +30.000000,3.422480000000e+02 +32.000000,1.970410000000e+02 +34.000000,1.060860000000e+02 +36.000000,5.952090000000e+01 +38.000000,4.688520000000e+01 +40.000000,5.794060000000e+01 +42.000000,8.333320000000e+01 +44.000000,1.150690000000e+02 +46.000000,1.467950000000e+02 +48.000000,1.739020000000e+02 +50.000000,1.934630000000e+02 +52.000000,2.040620000000e+02 +54.000000,2.055310000000e+02 +56.000000,1.986590000000e+02 +58.000000,1.848740000000e+02 +60.000000,1.659690000000e+02 +62.000000,1.438470000000e+02 +64.000000,1.203330000000e+02 +66.000000,9.703300000000e+01 +68.000000,7.525270000000e+01 +70.000000,5.595770000000e+01 +72.000000,3.977480000000e+01 +74.000000,2.701960000000e+01 +76.000000,1.774000000000e+01 +78.000000,1.176860000000e+01 +80.000000,8.775830000000e+00 +82.000000,8.319500000000e+00 +84.000000,9.888090000000e+00 +86.000000,1.293740000000e+01 +88.000000,1.692080000000e+01 +90.000000,2.131460000000e+01 +92.000000,2.563930000000e+01 +94.000000,2.947900000000e+01 +96.000000,3.249800000000e+01 +98.000000,3.445500000000e+01 +100.000000,3.521330000000e+01 +102.000000,3.474630000000e+01 +104.000000,3.313500000000e+01 +106.000000,3.055870000000e+01 +108.000000,2.727630000000e+01 +110.000000,2.359980000000e+01 +112.000000,1.986310000000e+01 +114.000000,1.638650000000e+01 +116.000000,1.344380000000e+01 +118.000000,1.123300000000e+01 +120.000000,9.857440000000e+00 +122.000000,9.316910000000e+00 +124.000000,9.513160000000e+00 +126.000000,1.026720000000e+01 +128.000000,1.134730000000e+01 +130.000000,1.250370000000e+01 +132.000000,1.350530000000e+01 +134.000000,1.417330000000e+01 +136.000000,1.440700000000e+01 +138.000000,1.419780000000e+01 +140.000000,1.363050000000e+01 +142.000000,1.287040000000e+01 +144.000000,1.213940000000e+01 +146.000000,1.168430000000e+01 +148.000000,1.174180000000e+01 +150.000000,1.250580000000e+01 +152.000000,1.410160000000e+01 +154.000000,1.656940000000e+01 +156.000000,1.986110000000e+01 +158.000000,2.384780000000e+01 +160.000000,2.833810000000e+01 +162.000000,3.310280000000e+01 +164.000000,3.790190000000e+01 +166.000000,4.251010000000e+01 +168.000000,4.673670000000e+01 +170.000000,5.043720000000e+01 +172.000000,5.351600000000e+01 +174.000000,5.592190000000e+01 +176.000000,5.763660000000e+01 +178.000000,5.866070000000e+01 +180.000000,5.900090000000e+01 diff --git a/tests/regression/talys/reference/T2_jlmb_elastic.json b/tests/regression/talys/reference/T2_jlmb_elastic.json new file mode 100644 index 00000000..e73cd9f9 --- /dev/null +++ b/tests/regression/talys/reference/T2_jlmb_elastic.json @@ -0,0 +1,62 @@ +{ + "case_id": "T2_jlmb_elastic", + "reference_code": "talys", + "observable_type": "elastic", + "description": "TALYS JLMB (jlmmode 2) elastic scattering on 120Sn at En = 10 MeV. JLMB spin-orbit (Scheerbaum prescription) included.", + "source_example": "T2_jlmb_elastic.inp", + "reaction": { + "target": { + "A": 120, + "Z": 50, + "name": "120Sn" + }, + "projectile": { + "A": 1, + "Z": 0, + "name": "n" + } + }, + "kinematics": { + "energy_MeV": 10.0, + "frame": "lab", + "relativistic": true + }, + "optical_potential": { + "kind": "jlm", + "variant": "jlmb", + "parameterization": "talys", + "density_model": "d1m", + "radialmodel": 2, + "jlmmode": 2, + "folding_widths_fm": { + "real": 1.25, + "imag": 1.35 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 30, + "nbasis": 50 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.10, + "atol": 50.0 + } + }, + "reference_run": { + "code": "talys", + "version": "TALYS-2.2", + "source_sample": "talys/samples/n-Sn120-omp-JLM/new/talys.inp", + "source_mirror": "talys/", + "output_file": "nn0010.000ang.L00", + "parser": "tests/regression/talys/tools/parse_talys.py", + "column": "direct", + "input_overrides": [ + "energy T2_jlmb_elastic.energies", + "jlmmode 2", + "outangle y", + "fileelastic y" + ] + } +} diff --git a/tests/regression/talys/reference/T3_jlmb_proton_elastic.csv b/tests/regression/talys/reference/T3_jlmb_proton_elastic.csv new file mode 100644 index 00000000..a7fac643 --- /dev/null +++ b/tests/regression/talys/reference/T3_jlmb_proton_elastic.csv @@ -0,0 +1,95 @@ +# case_id: T3_jlmb_proton_elastic +# reference_code: talys +# source_example: T3_jlmb_proton_elastic.inp +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +2.000000,3.588580000000e+08 +4.000000,2.243840000000e+07 +6.000000,4.447140000000e+06 +8.000000,1.404850000000e+06 +10.000000,5.731880000000e+05 +12.000000,2.764000000000e+05 +14.000000,1.501680000000e+05 +16.000000,8.913050000000e+04 +18.000000,5.654980000000e+04 +20.000000,3.774270000000e+04 +22.000000,2.618100000000e+04 +24.000000,1.870150000000e+04 +26.000000,1.365830000000e+04 +28.000000,1.014320000000e+04 +30.000000,7.628660000000e+03 +32.000000,5.794070000000e+03 +34.000000,4.436510000000e+03 +36.000000,3.422360000000e+03 +38.000000,2.660470000000e+03 +40.000000,2.086540000000e+03 +42.000000,1.653930000000e+03 +44.000000,1.328040000000e+03 +46.000000,1.082700000000e+03 +48.000000,8.979520000000e+02 +50.000000,7.584500000000e+02 +52.000000,6.524040000000e+02 +54.000000,5.707910000000e+02 +56.000000,5.067600000000e+02 +58.000000,4.551800000000e+02 +60.000000,4.122740000000e+02 +62.000000,3.753250000000e+02 +64.000000,3.424410000000e+02 +66.000000,3.123570000000e+02 +68.000000,2.842780000000e+02 +70.000000,2.577540000000e+02 +72.000000,2.325730000000e+02 +74.000000,2.086830000000e+02 +76.000000,1.861300000000e+02 +78.000000,1.650100000000e+02 +80.000000,1.454330000000e+02 +82.000000,1.275010000000e+02 +84.000000,1.112910000000e+02 +86.000000,9.684540000000e+01 +88.000000,8.416960000000e+01 +90.000000,7.323070000000e+01 +92.000000,6.396070000000e+01 +94.000000,5.626110000000e+01 +96.000000,5.000840000000e+01 +98.000000,4.506110000000e+01 +100.000000,4.126510000000e+01 +102.000000,3.846090000000e+01 +104.000000,3.648820000000e+01 +106.000000,3.519110000000e+01 +108.000000,3.442230000000e+01 +110.000000,3.404590000000e+01 +112.000000,3.393990000000e+01 +114.000000,3.399740000000e+01 +116.000000,3.412780000000e+01 +118.000000,3.425650000000e+01 +120.000000,3.432460000000e+01 +122.000000,3.428800000000e+01 +124.000000,3.411630000000e+01 +126.000000,3.379130000000e+01 +128.000000,3.330530000000e+01 +130.000000,3.265960000000e+01 +132.000000,3.186300000000e+01 +134.000000,3.092960000000e+01 +136.000000,2.987790000000e+01 +138.000000,2.872930000000e+01 +140.000000,2.750650000000e+01 +142.000000,2.623300000000e+01 +144.000000,2.493160000000e+01 +146.000000,2.362420000000e+01 +148.000000,2.233080000000e+01 +150.000000,2.106960000000e+01 +152.000000,1.985590000000e+01 +154.000000,1.870310000000e+01 +156.000000,1.762160000000e+01 +158.000000,1.661940000000e+01 +160.000000,1.570260000000e+01 +162.000000,1.487470000000e+01 +164.000000,1.413790000000e+01 +166.000000,1.349270000000e+01 +168.000000,1.293860000000e+01 +170.000000,1.247420000000e+01 +172.000000,1.209780000000e+01 +174.000000,1.180760000000e+01 +176.000000,1.160180000000e+01 +178.000000,1.147890000000e+01 +180.000000,1.143800000000e+01 diff --git a/tests/regression/talys/reference/T3_jlmb_proton_elastic.json b/tests/regression/talys/reference/T3_jlmb_proton_elastic.json new file mode 100644 index 00000000..5e43f064 --- /dev/null +++ b/tests/regression/talys/reference/T3_jlmb_proton_elastic.json @@ -0,0 +1,60 @@ +{ + "case_id": "T3_jlmb_proton_elastic", + "reference_code": "talys", + "observable_type": "elastic", + "description": "TALYS JLMB (jlmmode 0) proton elastic scattering on 120Sn at Ep = 10 MeV. Tests the Coulomb code path: density-derived Coulomb enters the JLM delta_C correction and the workspace scattering Coulomb.", + "source_example": "T3_jlmb_proton_elastic.inp", + "reaction": { + "target": { + "A": 120, + "Z": 50, + "name": "120Sn" + }, + "projectile": { + "A": 1, + "Z": 1, + "name": "p" + } + }, + "kinematics": { + "energy_MeV": 10.0, + "frame": "lab", + "relativistic": true + }, + "optical_potential": { + "kind": "jlm", + "variant": "jlmb", + "parameterization": "talys", + "density_model": "d1m", + "radialmodel": 2, + "jlmmode": 0, + "folding_widths_fm": { + "real": 1.25, + "imag": 1.35 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 30, + "nbasis": 50 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.10, + "atol": 10.0 + } + }, + "reference_run": { + "code": "talys", + "version": "TALYS-2.2", + "source_sample": "tests/regression/talys/inputs/T3_jlmb_proton_elastic.inp", + "output_file": "pp0010.000ang.L00", + "parser": "tests/regression/talys/tools/parse_talys.py", + "column": "direct", + "input_overrides": [ + "projectile p", + "outangle y", + "fileelastic y" + ] + } +} diff --git a/tests/regression/talys/reference/T4_jlmb2_proton_elastic.csv b/tests/regression/talys/reference/T4_jlmb2_proton_elastic.csv new file mode 100644 index 00000000..099877c7 --- /dev/null +++ b/tests/regression/talys/reference/T4_jlmb2_proton_elastic.csv @@ -0,0 +1,95 @@ +# case_id: T4_jlmb2_proton_elastic +# reference_code: talys +# source_example: T4_jlmb2_proton_elastic.inp +# observable: elastic +theta_cm_deg,dsdo_mb_per_sr +2.000000,3.588510000000e+08 +4.000000,2.244050000000e+07 +6.000000,4.446820000000e+06 +8.000000,1.404340000000e+06 +10.000000,5.731140000000e+05 +12.000000,2.765470000000e+05 +14.000000,1.503360000000e+05 +16.000000,8.924060000000e+04 +18.000000,5.659210000000e+04 +20.000000,3.773440000000e+04 +22.000000,2.614390000000e+04 +24.000000,1.865310000000e+04 +26.000000,1.361040000000e+04 +28.000000,1.010240000000e+04 +30.000000,7.597820000000e+03 +32.000000,5.773610000000e+03 +34.000000,4.425410000000e+03 +36.000000,3.418940000000e+03 +38.000000,2.662790000000e+03 +40.000000,2.092750000000e+03 +42.000000,1.662400000000e+03 +44.000000,1.337410000000e+03 +46.000000,1.091930000000e+03 +48.000000,9.063010000000e+02 +50.000000,7.654320000000e+02 +52.000000,6.577550000000e+02 +54.000000,5.744220000000e+02 +56.000000,5.087190000000e+02 +58.000000,4.556120000000e+02 +60.000000,4.113870000000e+02 +62.000000,3.733660000000e+02 +64.000000,3.396690000000e+02 +66.000000,3.090280000000e+02 +68.000000,2.806330000000e+02 +70.000000,2.540070000000e+02 +72.000000,2.289070000000e+02 +74.000000,2.052470000000e+02 +76.000000,1.830380000000e+02 +78.000000,1.623420000000e+02 +80.000000,1.432380000000e+02 +82.000000,1.257980000000e+02 +84.000000,1.100760000000e+02 +86.000000,9.609470000000e+01 +88.000000,8.384300000000e+01 +90.000000,7.327660000000e+01 +92.000000,6.431990000000e+01 +94.000000,5.687020000000e+01 +96.000000,5.080320000000e+01 +98.000000,4.597880000000e+01 +100.000000,4.224710000000e+01 +102.000000,3.945360000000e+01 +104.000000,3.744490000000e+01 +106.000000,3.607260000000e+01 +108.000000,3.519700000000e+01 +110.000000,3.469010000000e+01 +112.000000,3.443760000000e+01 +114.000000,3.433970000000e+01 +116.000000,3.431230000000e+01 +118.000000,3.428650000000e+01 +120.000000,3.420840000000e+01 +122.000000,3.403790000000e+01 +124.000000,3.374760000000e+01 +126.000000,3.332180000000e+01 +128.000000,3.275400000000e+01 +130.000000,3.204630000000e+01 +132.000000,3.120740000000e+01 +134.000000,3.025080000000e+01 +136.000000,2.919400000000e+01 +138.000000,2.805670000000e+01 +140.000000,2.686000000000e+01 +142.000000,2.562520000000e+01 +144.000000,2.437300000000e+01 +146.000000,2.312320000000e+01 +148.000000,2.189360000000e+01 +150.000000,2.070020000000e+01 +152.000000,1.955660000000e+01 +154.000000,1.847420000000e+01 +156.000000,1.746190000000e+01 +158.000000,1.652660000000e+01 +160.000000,1.567290000000e+01 +162.000000,1.490380000000e+01 +164.000000,1.422050000000e+01 +166.000000,1.362320000000e+01 +168.000000,1.311080000000e+01 +170.000000,1.268190000000e+01 +172.000000,1.233460000000e+01 +174.000000,1.206700000000e+01 +176.000000,1.187730000000e+01 +178.000000,1.176410000000e+01 +180.000000,1.172650000000e+01 diff --git a/tests/regression/talys/reference/T4_jlmb2_proton_elastic.json b/tests/regression/talys/reference/T4_jlmb2_proton_elastic.json new file mode 100644 index 00000000..3a62b806 --- /dev/null +++ b/tests/regression/talys/reference/T4_jlmb2_proton_elastic.json @@ -0,0 +1,61 @@ +{ + "case_id": "T4_jlmb2_proton_elastic", + "reference_code": "talys", + "observable_type": "elastic", + "description": "TALYS JLMB (jlmmode 2) proton elastic scattering on 120Sn at Ep = 10 MeV. Tests Coulomb + updated imaginary normalization (alam = 1.375*exp(-0.2*sqrt(E))).", + "source_example": "T4_jlmb2_proton_elastic.inp", + "reaction": { + "target": { + "A": 120, + "Z": 50, + "name": "120Sn" + }, + "projectile": { + "A": 1, + "Z": 1, + "name": "p" + } + }, + "kinematics": { + "energy_MeV": 10.0, + "frame": "lab", + "relativistic": true + }, + "optical_potential": { + "kind": "jlm", + "variant": "jlmb", + "parameterization": "talys", + "density_model": "d1m", + "radialmodel": 2, + "jlmmode": 2, + "folding_widths_fm": { + "real": 1.25, + "imag": 1.35 + } + }, + "matching": { + "channel_radius_fm": 40.0, + "lmax": 30, + "nbasis": 50 + }, + "tolerances": { + "dsdo_mb_per_sr": { + "rtol": 0.10, + "atol": 10.0 + } + }, + "reference_run": { + "code": "talys", + "version": "TALYS-2.2", + "source_sample": "tests/regression/talys/inputs/T4_jlmb2_proton_elastic.inp", + "output_file": "pp0010.000ang.L00", + "parser": "tests/regression/talys/tools/parse_talys.py", + "column": "direct", + "input_overrides": [ + "projectile p", + "jlmmode 2", + "outangle y", + "fileelastic y" + ] + } +} diff --git a/tests/regression/talys/tools/parse_talys.py b/tests/regression/talys/tools/parse_talys.py new file mode 100644 index 00000000..f9442969 --- /dev/null +++ b/tests/regression/talys/tools/parse_talys.py @@ -0,0 +1,71 @@ +from __future__ import annotations + +import argparse +import csv +import json +from pathlib import Path + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--output", type=Path, required=True) + parser.add_argument("--metadata", type=Path, required=True) + parser.add_argument("--csv-out", type=Path, required=True) + parser.add_argument("--column", default="direct") + return parser.parse_args() + + +def find_table( + lines: list[str], column: str +) -> tuple[list[str], list[tuple[float, float]]]: + requested = column.lower() + for index, line in enumerate(lines): + normalized = line.lstrip("#").lower().split() + if "angle" not in normalized or requested not in normalized: + continue + angle_index = normalized.index("angle") + value_index = normalized.index(requested) + rows: list[tuple[float, float]] = [] + for data_line in lines[index + 1 :]: + if data_line.lstrip().startswith("#"): + continue + if not data_line.strip(): + break + parts = data_line.split() + if len(parts) <= max(angle_index, value_index): + break + try: + rows.append((float(parts[angle_index]), float(parts[value_index]))) + except ValueError: + break + if rows: + return normalized, rows + raise ValueError( + f"could not find a TALYS angular-distribution table with column {column!r}" + ) + + +def write_csv( + csv_out: Path, metadata: dict[str, object], rows: list[tuple[float, float]] +) -> None: + csv_out.parent.mkdir(parents=True, exist_ok=True) + with csv_out.open("w", newline="") as handle: + writer = csv.writer(handle) + writer.writerow([f"# case_id: {metadata['case_id']}"]) + writer.writerow([f"# reference_code: {metadata['reference_code']}"]) + writer.writerow([f"# source_example: {metadata['source_example']}"]) + writer.writerow([f"# observable: {metadata['observable_type']}"]) + writer.writerow(["theta_cm_deg", "dsdo_mb_per_sr"]) + for angle_deg, dsdo in rows: + writer.writerow([f"{angle_deg:.6f}", f"{dsdo:.12e}"]) + + +def main() -> None: + args = parse_args() + metadata = json.loads(args.metadata.read_text()) + _, rows = find_table(args.output.read_text().splitlines(), args.column) + write_csv(args.csv_out, metadata, rows) + + +if __name__ == "__main__": + main() diff --git a/tests/regression/test_regression.py b/tests/regression/test_regression.py new file mode 100644 index 00000000..efbfeaa4 --- /dev/null +++ b/tests/regression/test_regression.py @@ -0,0 +1,20 @@ +from __future__ import annotations + +import numpy as np + +from tests.regression._builders import build_case +from tests.regression._readers import ManifestEntry, load_case + + +def test_regression(case: ManifestEntry) -> None: + """Compare one committed external reference against the current API.""" + ref = load_case(case) + built = build_case(ref) + result = built.workspace.xs(**built.xs_kwargs) + np.testing.assert_allclose( + result.dsdo, + ref.dsdo, + rtol=ref.tolerance["rtol"], + atol=ref.tolerance["atol"], + err_msg=f"[{ref.case_id} / {ref.reference_code}] dsdo disagrees", + ) diff --git a/tests/regression/test_talys_reference.py b/tests/regression/test_talys_reference.py new file mode 100644 index 00000000..328634f5 --- /dev/null +++ b/tests/regression/test_talys_reference.py @@ -0,0 +1,38 @@ +from __future__ import annotations + +from tests.regression._readers import load_case +from tests.regression.talys.tools.parse_talys import find_table + + +def test_parse_talys_reads_yandf_angular_distribution_direct_column() -> None: + lines = [ + "# header:", + "## Angle xs Direct Compound", + "## [deg] [mb/sr] [mb/sr] [mb/sr]", + " 0.000000E+00 6.327864E+03 6.327860E+03 3.893764E-03", + " 2.000000E+00 6.263124E+03 6.263120E+03 3.870623E-03", + ] + + columns, rows = find_table(lines, "direct") + + assert columns == ["angle", "xs", "direct", "compound"] + assert rows == [(0.0, 6327.86), (2.0, 6263.12)] + + +def test_talys_jlmb_reference_loads_cleanly() -> None: + ref = load_case( + { + "case_id": "T2_jlmb_elastic", + "reference_code": "talys", + "csv": "talys/reference/T2_jlmb_elastic.csv", + "json": "talys/reference/T2_jlmb_elastic.json", + } + ) + + assert ref.case_id == "T2_jlmb_elastic" + assert ref.reference_code == "talys" + assert ref.observable_type == "elastic" + assert ref.theta_cm_rad.shape == ref.dsdo.shape + assert ref.theta_cm_rad.size == 91 # full 0-180 deg; spin-orbit included + assert ref.metadata["optical_potential"]["kind"] == "jlm" + assert ref.metadata["optical_potential"]["variant"] == "jlmb" diff --git a/tests/test_jlm_optical.py b/tests/test_jlm_optical.py index 45f1da4f..f3539a7d 100644 --- a/tests/test_jlm_optical.py +++ b/tests/test_jlm_optical.py @@ -8,6 +8,7 @@ import pytest from jitr.folding import jlm +from jitr.utils.constants import ALPHA, HBARC from jitr.utils.density import ( TwoParameterFermiDensity, density_from_array, @@ -58,6 +59,26 @@ class TestJLMHelpers: def test_fermi_energy_matches_notebook_reference_value(self): assert jlm.fermi_energy_MeV(0.16) == pytest.approx(-24.8448) + def test_fermi_energy_talys_low_energy_blend_matches_reference_formula(self): + rho = np.array([0.02, 0.08, 0.16]) + energy = 10.0 + xfr1 = 1.0 / (1.0 + np.exp((energy - 9.0) / 2.0)) + eps1 = -22.0 - rho * (298.52 - 3760.23 * rho + 12435.82 * rho**2) + eps2 = rho * (-510.8 + 3222.0 * rho - 6250.0 * rho**2) + expected = eps1 * xfr1 + eps2 * (1.0 - xfr1) + + np.testing.assert_allclose( + jlm.fermi_energy_MeV( + rho, + projectile_energy_MeV=energy, + low_energy_offset=jlm.EPS_F_LOW_OFFSET, + low_energy_coeffs=jlm.EPS_F_LOW_coeffs, + blend_energy=jlm.EPS_F_BLEND_ENERGY, + blend_width=jlm.EPS_F_BLEND_WIDTH, + ), + expected, + ) + def test_effective_mass_matches_finite_difference_of_v0(self): rho = np.array([0.04, 0.10, 0.16]) energy = 30.0 @@ -152,10 +173,11 @@ def test_potential_jlm_proton_branch_uses_coulomb_shift_and_lane_sign(self): target = (48, 20) alpha = (target[0] - 2 * target[1]) / target[0] radius_c = 1.2 * target[0] ** (1 / 3) - v_c = 6.0 * target[1] * jlm.ALPHA * jlm.HBARC / (5 * radius_c) + v_c = 6.0 * target[1] * ALPHA * HBARC / (5 * radius_c) + v_c_grid = np.full_like(rho, v_c) e_eff = energy - v_c e_fermi = jlm.fermi_energy_MeV(rho) - delta_c = jlm.Delta_C(rho, energy, v_c, linear=True) + delta_c = jlm.Delta_C(rho, energy, v_c_grid, linear=True) d_damping = 450.0 f_damping = 0.7 @@ -187,6 +209,7 @@ def test_potential_jlm_proton_branch_uses_coulomb_shift_and_lane_sign(self): (1, 1), target, energy, + V_C=v_c_grid, D_damping=d_damping, F_damping=f_damping, ) @@ -194,6 +217,119 @@ def test_potential_jlm_proton_branch_uses_coulomb_shift_and_lane_sign(self): np.testing.assert_allclose(actual_v, expected_v, rtol=1e-12, atol=1e-12) np.testing.assert_allclose(actual_w, expected_w, rtol=1e-12, atol=1e-12) + def test_potential_jlm_talys_parameterization_matches_manual_formula(self): + rgrid = np.linspace(0.0, 8.0, 5) + rho_n = np.array([0.085, 0.080, 0.055, 0.015, 0.002]) + rho_p = np.array([0.075, 0.070, 0.045, 0.012, 0.0015]) + rho = rho_n + rho_p + target = (208, 82) + energy = 10.0 + alpha = (target[0] - 2 * target[1]) / target[0] + + from jitr.folding import ILDAFolder + + folder = ILDAFolder(r_max=float(rgrid.max()), n_quad=200) + v_c = folder.V_coulomb( + folder.interp_to_quad(rgrid, rho_p), mode="density", r_out=rgrid + ) + e_eff = energy - v_c + e_fermi = jlm.fermi_energy_MeV( + rho, + coeffs=jlm.TALYS_PARAMETERIZATION.coeffs_E_F, + projectile_energy_MeV=energy, + low_energy_offset=jlm.TALYS_PARAMETERIZATION.low_energy_E_F_offset, + low_energy_coeffs=jlm.TALYS_PARAMETERIZATION.low_energy_E_F_coeffs, + blend_energy=jlm.TALYS_PARAMETERIZATION.E_F_blend_energy, + blend_width=jlm.TALYS_PARAMETERIZATION.E_F_blend_width, + ) + + expected_v = jlm.V0( + rho, + e_eff, + coeffs=jlm.TALYS_PARAMETERIZATION.coeffs_A, + ) - alpha * jlm.V1( + rho, + e_eff, + e_fermi, + coeffs_B=jlm.TALYS_PARAMETERIZATION.coeffs_B, + coeffs_C=jlm.TALYS_PARAMETERIZATION.coeffs_C, + ) + expected_w = jlm.W0( + rho, + e_eff, + e_fermi, + coeffs=jlm.TALYS_PARAMETERIZATION.coeffs_D, + damping=jlm.TALYS_PARAMETERIZATION.D_damping, + ) - alpha * jlm.W1( + rho, + e_eff, + e_fermi, + coeffs_F=jlm.TALYS_PARAMETERIZATION.coeffs_F, + coeffs_A=jlm.TALYS_PARAMETERIZATION.coeffs_A, + coeffs_C=jlm.TALYS_PARAMETERIZATION.coeffs_C, + damping=jlm.TALYS_PARAMETERIZATION.F_damping, + ) + + actual_v, actual_w = jlm.potential_JLM( + rgrid, + rho, + (1, 1), + target, + energy, + V_C=v_c, + parameterization="talys", + ) + + np.testing.assert_allclose(actual_v, expected_v, rtol=1e-12, atol=1e-12) + np.testing.assert_allclose(actual_w, expected_w, rtol=1e-12, atol=1e-12) + + def test_potential_jlm_proton_requires_v_c(self): + with pytest.raises(ValueError, match="V_C is required"): + jlm.potential_JLM( + np.linspace(0.0, 6.0, 3), + np.array([0.03, 0.08, 0.16]), + (1, 1), + (208, 82), + 10.0, + ) + + def test_talys_parameterization_moves_surface_w1_denominator_away_from_zero(self): + rgrid = np.linspace(0.0, 15.0, 1501) + rho_n = two_parameter_fermi(rgrid, R=6.8, a=0.55, N=126) + rho_p = two_parameter_fermi(rgrid, R=6.7, a=0.55, N=82) + rho = rho_n + rho_p + energy = 10.0 + target = (208, 82) + radius_c = 1.2 * target[0] ** (1 / 3) + v_c_const = 6.0 * target[1] * ALPHA * HBARC / (5 * radius_c) + + current_delta = energy - v_c_const - jlm.fermi_energy_MeV(rho) + current_denom = 1.0 + jlm.F_DAMPING / current_delta + + from jitr.folding import ILDAFolder + + folder = ILDAFolder(r_max=float(rgrid.max()), n_quad=400) + v_c_local = folder.V_coulomb( + folder.interp_to_quad(rgrid, rho_p), + mode="density", + r_out=rgrid, + ) + talys_delta = energy - v_c_local + talys_delta = talys_delta - jlm.fermi_energy_MeV( + rho, + coeffs=jlm.TALYS_PARAMETERIZATION.coeffs_E_F, + projectile_energy_MeV=energy, + low_energy_offset=jlm.TALYS_PARAMETERIZATION.low_energy_E_F_offset, + low_energy_coeffs=jlm.TALYS_PARAMETERIZATION.low_energy_E_F_coeffs, + blend_energy=jlm.TALYS_PARAMETERIZATION.E_F_blend_energy, + blend_width=jlm.TALYS_PARAMETERIZATION.E_F_blend_width, + ) + talys_denom = 1.0 + jlm.TALYS_PARAMETERIZATION.F_damping / talys_delta + + surface = (rgrid > 6.5) & (rgrid < 9.0) + assert np.min(np.abs(current_denom[surface])) < 0.25 + assert np.min(np.abs(talys_denom[surface])) > 0.5 + def test_potential_jlmb_matches_manual_folded_expression_for_neutrons(self): from jitr.folding import ILDAFolder @@ -206,10 +342,9 @@ def test_potential_jlmb_matches_manual_folded_expression_for_neutrons(self): e_fermi = jlm.fermi_energy_MeV(rho_q) expected_vnm = jlm.V0(rho_q, energy) + alpha_q * jlm.V1(rho_q, energy, e_fermi) - expected_wnm = jlm.W0(rho_q, energy, e_fermi) + alpha_q * jlm.W1( - rho_q, - energy, - e_fermi, + m_tilde_q = jlm.m_tilde_over_m(rho_q, energy) + expected_wnm = m_tilde_q * ( + jlm.W0(rho_q, energy, e_fermi) + alpha_q * jlm.W1(rho_q, energy, e_fermi) ) expected_v = folder.gaussian_fold(expected_vnm, t=1.25, r_out=folder.r_q) expected_w = folder.gaussian_fold(expected_wnm, t=1.35, r_out=folder.r_q) @@ -227,6 +362,95 @@ def test_potential_jlmb_matches_manual_folded_expression_for_neutrons(self): np.testing.assert_allclose(actual_v, expected_v, rtol=1e-12, atol=1e-12) np.testing.assert_allclose(actual_w, expected_w, rtol=1e-12, atol=1e-12) + def test_potential_jlmb_talys_parameterization_matches_manual_formula(self): + from jitr.folding import ILDAFolder + + folder = ILDAFolder(r_max=14.0, n_quad=250) + rho_n_q = TwoParameterFermiDensity(R=6.8, a=0.55, N=126)(folder.r_q) + rho_p_q = TwoParameterFermiDensity(R=6.7, a=0.55, N=82)(folder.r_q) + rho_q = rho_n_q + rho_p_q + alpha_q = (rho_n_q - rho_p_q) / rho_q + energy = 10.0 + e_fermi = jlm.fermi_energy_MeV( + rho_q, + coeffs=jlm.TALYS_PARAMETERIZATION.coeffs_E_F, + projectile_energy_MeV=energy, + low_energy_offset=jlm.TALYS_PARAMETERIZATION.low_energy_E_F_offset, + low_energy_coeffs=jlm.TALYS_PARAMETERIZATION.low_energy_E_F_coeffs, + blend_energy=jlm.TALYS_PARAMETERIZATION.E_F_blend_energy, + blend_width=jlm.TALYS_PARAMETERIZATION.E_F_blend_width, + ) + v_c_q = folder.V_coulomb(rho_p_q, mode="density") + e_eff_q = energy - v_c_q + + expected_vnm = jlm.V0( + rho_q, + e_eff_q, + coeffs=jlm.TALYS_PARAMETERIZATION.coeffs_A, + ) - alpha_q * jlm.V1( + rho_q, + e_eff_q, + e_fermi, + coeffs_B=jlm.TALYS_PARAMETERIZATION.coeffs_B, + coeffs_C=jlm.TALYS_PARAMETERIZATION.coeffs_C, + ) + m_tilde_q = jlm.m_tilde_over_m( + rho_q, e_eff_q, coeffs=jlm.TALYS_PARAMETERIZATION.coeffs_C + ) + expected_wnm = m_tilde_q * ( + jlm.W0( + rho_q, + e_eff_q, + e_fermi, + coeffs=jlm.TALYS_PARAMETERIZATION.coeffs_D, + damping=jlm.TALYS_PARAMETERIZATION.D_damping, + ) + - alpha_q + * jlm.W1( + rho_q, + e_eff_q, + e_fermi, + coeffs_F=jlm.TALYS_PARAMETERIZATION.coeffs_F, + coeffs_A=jlm.TALYS_PARAMETERIZATION.coeffs_A, + coeffs_C=jlm.TALYS_PARAMETERIZATION.coeffs_C, + damping=jlm.TALYS_PARAMETERIZATION.F_damping, + ) + ) + expected_v = folder.gaussian_fold(expected_vnm, t=1.25, r_out=folder.r_q) + expected_w = folder.gaussian_fold(expected_wnm, t=1.35, r_out=folder.r_q) + + actual_v, actual_w = jlm.potential_JLMB( + folder, + rho_n_q, + rho_p_q, + (1, 1), + (208, 82), + energy, + V_C=v_c_q, + parameterization="talys", + r_out=folder.r_q, + ) + + np.testing.assert_allclose(actual_v, expected_v, rtol=1e-12, atol=1e-12) + np.testing.assert_allclose(actual_w, expected_w, rtol=1e-12, atol=1e-12) + + def test_potential_jlmb_proton_requires_v_c(self): + from jitr.folding import ILDAFolder + + folder = ILDAFolder(r_max=14.0, n_quad=100) + rho_n_q = np.full_like(folder.r_q, 0.08) + rho_p_q = np.full_like(folder.r_q, 0.07) + + with pytest.raises(ValueError, match="V_C is required"): + jlm.potential_JLMB( + folder, + rho_n_q, + rho_p_q, + (1, 1), + (208, 82), + 10.0, + ) + def test_potential_jlm_invalid_projectile_raises(self): with pytest.raises(ValueError, match="Projectile must be"): jlm.potential_JLM( diff --git a/tests/test_optical_potential_helpers.py b/tests/test_optical_potential_helpers.py index c977ce88..41c64cdf 100644 --- a/tests/test_optical_potential_helpers.py +++ b/tests/test_optical_potential_helpers.py @@ -3,7 +3,7 @@ import numpy as np import pytest -from jitr.optical_potentials import chuq, kduq, wlh +from jitr.optical_potentials import chuq, coulomb_charged_sphere, kduq, wlh @pytest.mark.parametrize( @@ -72,6 +72,14 @@ def test_global_potential_helpers_return_complex_arrays( assert result.shape == (16,) +def test_coulomb_charged_sphere_returns_zero_for_neutral_projectiles() -> None: + scalar = coulomb_charged_sphere(3.0, 0.0, 0.0) + array = coulomb_charged_sphere(np.linspace(0.2, 8.0, 16), 0.0, 0.0) + + assert scalar == 0.0 + np.testing.assert_array_equal(array, np.zeros(16)) + + def test_get_kd03_matches_default_global_parameter_ordering() -> None: kd03_neutron = kduq.get_kd03((1, 0)) kd03_proton = kduq.get_kd03((1, 1)) diff --git a/uv.lock b/uv.lock index 6e0788ae..becd4cc7 100644 --- a/uv.lock +++ b/uv.lock @@ -231,6 +231,12 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/8e/0d/52d98722666d6fc6c3dd4c76df339501d6efd40e0ff95e6186a7b7f0befd/black-26.3.1-py3-none-any.whl", hash = "sha256:2bd5aa94fc267d38bb21a70d7410a89f1a1d318841855f698746f8e7f51acd1b", size = 207542, upload-time = "2026-03-12T03:36:01.668Z" }, ] +[package.optional-dependencies] +jupyter = [ + { name = "ipython" }, + { name = "tokenize-rt" }, +] + [[package]] name = "bleach" version = "6.3.0" @@ -988,7 +994,7 @@ dependencies = [ [package.dev-dependencies] dev = [ - { name = "black" }, + { name = "black", extra = ["jupyter"] }, { name = "exfor-tools" }, { name = "flake8" }, { name = "flake8-pyproject" }, @@ -1013,6 +1019,7 @@ docs = [ { name = "sphinx-autodoc-typehints" }, ] examples = [ + { name = "black", extra = ["jupyter"] }, { name = "exfor-tools" }, { name = "ipykernel" }, { name = "jupyter" }, @@ -1047,6 +1054,7 @@ requires-dist = [ [package.metadata.requires-dev] dev = [ { name = "black" }, + { name = "black", extras = ["jupyter"], specifier = ">=26.3.1" }, { name = "exfor-tools" }, { name = "flake8" }, { name = "flake8-pyproject", specifier = ">=1.2.4" }, @@ -1071,6 +1079,7 @@ docs = [ { name = "sphinx-autodoc-typehints" }, ] examples = [ + { name = "black", extras = ["jupyter"], specifier = ">=26.3.1" }, { name = "exfor-tools" }, { name = "ipykernel" }, { name = "jupyter" }, @@ -3038,6 +3047,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e6/34/ebdc18bae6aa14fbee1a08b63c015c72b64868ff7dae68808ab500c492e2/tinycss2-1.4.0-py3-none-any.whl", hash = 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