diff --git a/orbitize/plot.py b/orbitize/plot.py
index 26373519..afaf85c1 100644
--- a/orbitize/plot.py
+++ b/orbitize/plot.py
@@ -672,7 +672,7 @@ def plot_orbits(
                 )
 
                 plt.plot(
-                    Time(epochs_rv, format="mjd").decimalyear,
+                    Time(epochs_seppa[i, :], format="mjd").decimalyear,
                     vz0 + gamma3[i],
                     color=sep_pa_color,
                 )
@@ -692,7 +692,7 @@ def plot_orbits(
                     )
 
                     plt.plot(
-                        Time(epochs_rv, format="mjd").decimalyear,
+                        Time(epochs_seppa[i, :], format="mjd").decimalyear,
                         vz,
                         color=sep_pa_color,
                     )
@@ -707,7 +707,7 @@ def plot_orbits(
                     )
 
                     plt.plot(
-                        Time(epochs_rv2, format="mjd").decimalyear,
+                        Time(epochs_seppa[i, :], format="mjd").decimalyear,
                         vz,
                         color=sep_pa_color,
                     )
diff --git a/tests/end-to-end-tests/hd4747.py b/tests/end-to-end-tests/hd4747.py
new file mode 100644
index 00000000..458ea650
--- /dev/null
+++ b/tests/end-to-end-tests/hd4747.py
@@ -0,0 +1,95 @@
+"""
+Stellar RVs + astrometry, using data for HD 4747.
+"""
+import matplotlib.pyplot as plt
+from orbitize import DATADIR, driver, plot, results
+import numpy as np
+from astropy import units as u, constants as cst
+
+# Initialize Driver to Run MCMC
+filename = "{}/HD4747.csv".format(DATADIR)
+
+num_secondary_bodies = 1
+system_mass = 0.84  # [Msol]
+plx = 53.18  # [mas]
+mass_err = 0.04  # [Msol]
+plx_err = 0.12  # [mas]
+
+num_temps = 5
+num_walkers = 50
+num_threads = 1  # or a different number if you prefer
+
+my_driver = driver.Driver(
+    filename,
+    "MCMC",
+    num_secondary_bodies,
+    system_mass,
+    plx,
+    mass_err=mass_err,
+    plx_err=plx_err,
+    system_kwargs={"fit_secondary_mass": True, "tau_ref_epoch": 0},
+    mcmc_kwargs={
+        "num_temps": num_temps,
+        "num_walkers": num_walkers,
+        "num_threads": num_threads,
+    },
+)
+
+# values from Xuan et al 2022
+sma_cen = 10.0
+sma_sig = 0.2
+ecc_cen = .7317
+ecc_sig = .0014
+inc_cen = np.radians(48)
+inc_sig = np.radians(1.1)
+aop_cen = np.radians(267.2)
+aop_sig = np.radians(0.5)
+pan_cen = np.radians(89.4)
+pan_sig = np.radians(1.1)
+tau_cen = ((2462615 - my_driver.system.tau_ref_epoch) / (33.2 * 365.25)) % 1
+tau_sig = 0.01
+
+assert my_driver.system.param_idx['sma1'] == 0
+assert my_driver.system.param_idx['ecc1'] == 1
+assert my_driver.system.param_idx['inc1'] == 2
+assert my_driver.system.param_idx['aop1'] == 3
+assert my_driver.system.param_idx['pan1'] == 4
+assert my_driver.system.param_idx['tau1'] == 5
+
+walker_centres = np.array(
+    [sma_cen, ecc_cen, inc_cen, aop_cen, pan_cen, tau_cen]
+)
+walker_1sigmas = np.array(
+    [sma_sig, ecc_sig, inc_sig, aop_sig, pan_sig, tau_sig]
+)
+
+new_pos = np.random.standard_normal((num_temps, num_walkers, 6)) * walker_1sigmas + walker_centres
+
+my_driver.sampler.curr_pos[:,:,:6] = np.copy(new_pos)
+my_driver.sampler.curr_pos[:,:,my_driver.system.param_idx['m1']] = np.random.normal(loc=(67.2*u.M_jup/u.M_sun).to('').value, scale=0.01, size=(num_temps, num_walkers))
+
+my_driver.sampler.check_prior_support()
+
+assert len(my_driver.system.rv[0]) == 56
+
+total_orbits = 10_00_000
+burn_steps = 10_000
+thin = 10
+
+if __name__ == '__main__':
+
+    # Run Sampler
+    m = my_driver.sampler
+    m.run_sampler(total_orbits, burn_steps=burn_steps, thin=thin)
+    my_driver.sampler.results.save_results('hd4747_orbits.hdf5')
+
+    my_results = results.Results()
+    my_results.load_results('hd4747_orbits.hdf5')
+
+    plot.plot_corner(my_results)
+    plt.savefig('hd4747_corner.png')
+
+    plot.plot_orbits(my_results, rv_time_series=True, start_mjd=51044.0)
+    plt.savefig('hd4747_orbit.png')
+
+