From db70583a0da2e4503e58b51270f7e839990f3e81 Mon Sep 17 00:00:00 2001 From: achiefa Date: Fri, 7 Feb 2025 16:18:45 +0100 Subject: [PATCH 01/14] Implementation SIDIS exact NNLO + allowing legacy predictions --- CMakeLists.txt | 9 + inc/MontBlanc/predictionshandler.h | 12 +- inc/MontBlanc/predictionshandler_approx.h | 68 +++ run/ComputeChi2s.cc | 21 +- run/Optimize.cc | 56 +- run/Predictions.cc | 23 +- src/predictions/CMakeLists.txt | 1 + src/predictions/predictionshandler.cc | 227 +++++--- src/predictions/predictionshandler_approx.cc | 551 +++++++++++++++++++ tables/C1LG2Q.yaml | 11 + tables/C1LQ2G.yaml | 11 + tables/C1LQ2Q.yaml | 11 + tables/C1TG2Q.yaml | 11 + tables/C1TQ2G.yaml | 11 + tables/C1TQ2Q.yaml | 11 + tables/C2LG2G.yaml | 11 + tables/C2LG2Q.yaml | 11 + tables/C2LQ2G.yaml | 11 + tables/C2LQ2QB.yaml | 11 + tables/C2LQ2QNS_nf3.yaml | 11 + tables/C2LQ2QNS_nf4.yaml | 11 + tables/C2LQ2QNS_nf5.yaml | 11 + tables/C2LQ2QP1.yaml | 11 + tables/C2LQ2QP2.yaml | 11 + tables/C2LQ2QP3.yaml | 11 + tables/C2LQ2QPS.yaml | 11 + tables/C2TG2G.yaml | 11 + tables/C2TG2Q.yaml | 11 + tables/C2TQ2G.yaml | 11 + tables/C2TQ2QB.yaml | 11 + tables/C2TQ2QNS_nf3.yaml | 11 + tables/C2TQ2QNS_nf4.yaml | 11 + tables/C2TQ2QNS_nf5.yaml | 11 + tables/C2TQ2QP1.yaml | 11 + tables/C2TQ2QP2.yaml | 11 + tables/C2TQ2QP3.yaml | 11 + tables/C2TQ2QPS.yaml | 11 + tables/DC1G2Q.yaml | 11 + tables/DC1Q2G.yaml | 11 + tables/DC1Q2Q.yaml | 11 + tables/DC2G2G.yaml | 11 + tables/DC2G2Q_nf3.yaml | 11 + tables/DC2G2Q_nf4.yaml | 11 + tables/DC2G2Q_nf5.yaml | 11 + tables/DC2Q2G_nf3.yaml | 11 + tables/DC2Q2G_nf4.yaml | 11 + tables/DC2Q2G_nf5.yaml | 11 + tables/DC2Q2QB.yaml | 11 + tables/DC2Q2QNS_nf3.yaml | 11 + tables/DC2Q2QNS_nf4.yaml | 11 + tables/DC2Q2QNS_nf5.yaml | 11 + tables/DC2Q2QP1.yaml | 11 + tables/DC2Q2QP2.yaml | 11 + tables/DC2Q2QP3.yaml | 11 + tables/DC2Q2QPS.yaml | 11 + tables/DoubleIdentity.yaml | 11 + tests/ClosureTests.cc | 21 +- tests/Reweighting.cc | 21 +- 58 files changed, 1409 insertions(+), 118 deletions(-) create mode 100644 inc/MontBlanc/predictionshandler_approx.h create mode 100644 src/predictions/predictionshandler_approx.cc create mode 100644 tables/C1LG2Q.yaml create mode 100644 tables/C1LQ2G.yaml create mode 100644 tables/C1LQ2Q.yaml create mode 100644 tables/C1TG2Q.yaml create mode 100644 tables/C1TQ2G.yaml create mode 100644 tables/C1TQ2Q.yaml create mode 100644 tables/C2LG2G.yaml create mode 100644 tables/C2LG2Q.yaml create mode 100644 tables/C2LQ2G.yaml create mode 100644 tables/C2LQ2QB.yaml create mode 100644 tables/C2LQ2QNS_nf3.yaml create mode 100644 tables/C2LQ2QNS_nf4.yaml create mode 100644 tables/C2LQ2QNS_nf5.yaml create mode 100644 tables/C2LQ2QP1.yaml create mode 100644 tables/C2LQ2QP2.yaml create mode 100644 tables/C2LQ2QP3.yaml create mode 100644 tables/C2LQ2QPS.yaml create mode 100644 tables/C2TG2G.yaml create mode 100644 tables/C2TG2Q.yaml create mode 100644 tables/C2TQ2G.yaml create mode 100644 tables/C2TQ2QB.yaml create mode 100644 tables/C2TQ2QNS_nf3.yaml create mode 100644 tables/C2TQ2QNS_nf4.yaml create mode 100644 tables/C2TQ2QNS_nf5.yaml create mode 100644 tables/C2TQ2QP1.yaml create mode 100644 tables/C2TQ2QP2.yaml create mode 100644 tables/C2TQ2QP3.yaml create mode 100644 tables/C2TQ2QPS.yaml create mode 100644 tables/DC1G2Q.yaml create mode 100644 tables/DC1Q2G.yaml create mode 100644 tables/DC1Q2Q.yaml create mode 100644 tables/DC2G2G.yaml create mode 100644 tables/DC2G2Q_nf3.yaml create mode 100644 tables/DC2G2Q_nf4.yaml create mode 100644 tables/DC2G2Q_nf5.yaml create mode 100644 tables/DC2Q2G_nf3.yaml create mode 100644 tables/DC2Q2G_nf4.yaml create mode 100644 tables/DC2Q2G_nf5.yaml create mode 100644 tables/DC2Q2QB.yaml create mode 100644 tables/DC2Q2QNS_nf3.yaml create mode 100644 tables/DC2Q2QNS_nf4.yaml create mode 100644 tables/DC2Q2QNS_nf5.yaml create mode 100644 tables/DC2Q2QP1.yaml create mode 100644 tables/DC2Q2QP2.yaml create mode 100644 tables/DC2Q2QP3.yaml create mode 100644 tables/DC2Q2QPS.yaml create mode 100644 tables/DoubleIdentity.yaml diff --git a/CMakeLists.txt b/CMakeLists.txt index 650600e88..6b1286ba3 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -21,6 +21,15 @@ set(CMAKE_CXX_STANDARD 17) set(CMAKE_CXX_STANDARD_REQUIRED ON) set(CMAKE_CXX_EXTENSIONS OFF) +# Set a default path (relative to the source directory) for APFEL++ tables +set(DEFAULT_TABLE_DIR "${CMAKE_SOURCE_DIR}/tables") + +# Allow the user to override the default using -DCMAKE_TABLE_DIR= +set(TABLE_DIR ${DEFAULT_TABLE_DIR} CACHE PATH "Path to the directory containing the table files") + +# Pass the path as a preprocessor definition +add_compile_definitions(TABLE_DIR="${TABLE_DIR}") + # export version to file configure_file( "${PROJECT_SOURCE_DIR}/inc/MontBlanc/version.h.in" diff --git a/inc/MontBlanc/predictionshandler.h b/inc/MontBlanc/predictionshandler.h index 46f7587c9..c1d90fa6f 100644 --- a/inc/MontBlanc/predictionshandler.h +++ b/inc/MontBlanc/predictionshandler.h @@ -17,8 +17,12 @@ namespace MontBlanc /** * @brief The "PredictionsHandler" class provides an interface to * the theorerical predictions. + * + * @note `final` keyword only for efficient resource management + * in runtime polymorphism in Optimize. This can be safely removed + * once PredictionsHandlerApprox is removed as well. */ - class PredictionsHandler: public NangaParbat::ConvolutionTable + class PredictionsHandler final: public NangaParbat::ConvolutionTable { public: /** @@ -26,7 +30,8 @@ namespace MontBlanc */ PredictionsHandler(YAML::Node const& config, NangaParbat::DataHandler const& DH, - std::shared_ptr const& g, + std::shared_ptr const& gx, + std::shared_ptr const& gz, std::vector> const& cuts = {}); /** @@ -55,7 +60,8 @@ namespace MontBlanc private: double const _mu0; std::vector const _Thresholds; - std::shared_ptr const _g; + std::shared_ptr const _gx; + std::shared_ptr const _gz; NangaParbat::DataHandler::Observable const _obs; std::vector const _bins; std::vector const _qTfact; diff --git a/inc/MontBlanc/predictionshandler_approx.h b/inc/MontBlanc/predictionshandler_approx.h new file mode 100644 index 000000000..0203b35bc --- /dev/null +++ b/inc/MontBlanc/predictionshandler_approx.h @@ -0,0 +1,68 @@ +// +// Authors: Rabah Abdul Khalek: rabah.khalek@gmail.com +// Valerio Bertone: valerio.bertone@cern.ch +// Emanuele R. Nocera: emanuele.nocera@ed.ac.uk +// + +#pragma once + +#include +#include +#include + +#include +#include + +namespace MontBlanc +{ + /** + * @brief The "PredictionsHandlerApprox" class provides an interface to + * the theorerical predictions. + */ + class PredictionsHandlerApprox final: public NangaParbat::ConvolutionTable + { + public: + /** + * @brief The "PredictionsHandlerApprox" constructor + */ + PredictionsHandlerApprox(YAML::Node const& config, + NangaParbat::DataHandler const& DH, + std::shared_ptr const& g, + std::vector> const& cuts = {}); + + /** + * @brief The "PredictionsHandlerApprox" copy constructor with possibly + * additional cuts + */ + PredictionsHandlerApprox(PredictionsHandlerApprox const& DH, + std::vector> const& cuts = {}); + + /** + * @brief Function that sets the input set of FFs at the initial scale + */ + void SetInputFFs(std::function(double const&)> const& InDistFunc); + + /** + * @brief Overload function of the NangaParbat::ConvolutionTable + * class + */ + std::vector GetPredictions(std::function const&) const; + std::vector GetPredictions(std::function const&, + std::function const&) const; + std::vector GetPredictions(std::function const&) const; + std::vector GetPredictions(std::function const&, + std::function const&) const; + + private: + double const _mu0; + std::vector const _Thresholds; + std::shared_ptr const _g; + NangaParbat::DataHandler::Observable const _obs; + std::vector const _bins; + std::vector const _qTfact; + apfel::ConvolutionMap const _cmap; + std::vector _ChargeMap; + std::vector> _FKt; + apfel::Set _D; + }; +} diff --git a/run/ComputeChi2s.cc b/run/ComputeChi2s.cc index 0d65f1011..0bbcb31da 100644 --- a/run/ComputeChi2s.cc +++ b/run/ComputeChi2s.cc @@ -125,11 +125,18 @@ void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPD // Set silent mode for APFEL++ apfel::SetVerbosityLevel(0); - // APFEL++ x-space grid - std::vector vsg; - for (auto const& sg : config["Predictions"]["xgrid"]) - vsg.push_back({sg[0].as(), sg[1].as(), sg[2].as()}); - const std::shared_ptr g(new const apfel::Grid{vsg}); +// APFEL++ x-space and z-space grids + std::vector vsgx, vsgz; + const auto config_xgrid = config["Predictions"]["xgrid"]; + const auto config_zgrid = (config["Predictions"]["zgrid"] ? config["Predictions"]["zgrid"] : config_xgrid); + // Grid for x + for (auto const &sgx : config_xgrid) + vsgx.push_back({sgx[0].as(), sgx[1].as(), sgx[2].as()}); + const std::shared_ptr gx(new const apfel::Grid{vsgx}); + // Grid for z + for (auto const &sgz : config_zgrid) + vsgz.push_back({sgz[0].as(), sgz[1].as(), sgz[2].as()}); + const std::shared_ptr gz(new const apfel::Grid{vsgz}); // Include new search path in LHAPDF if (ResultFolder[0]=='/') @@ -138,7 +145,7 @@ void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPD LHAPDF::pathsPrepend(GetCurrentWorkingDir() + "/" + ResultFolder + "/"); // LHAPDF Parameterisation - NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(LHAPDFSet, g, member_index); + NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(LHAPDFSet, gz, member_index); // Initialiase chi2 object NangaParbat::ChiSquare *chi2 = new MontBlanc::AnalyticChiSquare{LHAPDF_FFs}; @@ -166,7 +173,7 @@ void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPD (c["pars"] ? c["pars"].as>() : std::vector {}))); // Predictions - NangaParbat::ConvolutionTable *PH = new MontBlanc::PredictionsHandler{config["Predictions"], *DH, g, cuts}; + NangaParbat::ConvolutionTable *PH = new MontBlanc::PredictionsHandler{config["Predictions"], *DH, gx, gz, cuts}; // Add block to the chi2 chi2->AddBlock(std::make_pair(DH, PH)); diff --git a/run/Optimize.cc b/run/Optimize.cc index a6abb3de4..e352b3778 100644 --- a/run/Optimize.cc +++ b/run/Optimize.cc @@ -6,6 +6,7 @@ // #include "MontBlanc/predictionshandler.h" +#include "MontBlanc/predictionshandler_approx.h" #include "MontBlanc/AnalyticChiSquare.h" #include "MontBlanc/IterationCallBack.h" #include "MontBlanc/NNADparameterisation.h" @@ -28,6 +29,7 @@ // C++ #include +#include #include #include @@ -111,11 +113,18 @@ int main(int argc, char *argv[]) // Set silent mode for APFEL++ apfel::SetVerbosityLevel(0); - // APFEL++ x-space grid - std::vector vsg; - for (auto const &sg : config["Predictions"]["xgrid"]) - vsg.push_back({sg[0].as(), sg[1].as(), sg[2].as()}); - const std::shared_ptr g(new const apfel::Grid{vsg}); + // APFEL++ x-space and z-space grids + std::vector vsgx, vsgz; + const auto config_xgrid = config["Predictions"]["xgrid"]; + const auto config_zgrid = (config["Predictions"]["zgrid"] ? config["Predictions"]["zgrid"] : config_xgrid); + // Grid for x + for (auto const &sg : config_xgrid) + vsgx.push_back({sg[0].as(), sg[1].as(), sg[2].as()}); + const std::shared_ptr gx(new const apfel::Grid{vsgx}); + // Grid for z + for (auto const &sg : config_zgrid) + vsgz.push_back({sg[0].as(), sg[1].as(), sg[2].as()}); + const std::shared_ptr gz(new const apfel::Grid{vsgz}); // Initialise GSL random-number generator gsl_rng *rng = gsl_rng_alloc(gsl_rng_ranlxs2); @@ -124,6 +133,10 @@ int main(int argc, char *argv[]) // Hadronic species const std::string hadron = config["Data"]["hadron"].as(); + // Temporary + // SIDIS approx. or exact + const int SIDIStype = config["Predictions"]["SIDIS type"].as(); + // Vectors of DataHandler-ConvolutionTable pairs to be fed to the chi2 std::vector> DSVect; std::vector> DSVectt; @@ -161,7 +174,13 @@ int main(int argc, char *argv[]) (c["pars"] ? c["pars"].as>() : std::vector {}))); // Compute predictions within kinematic cuts - MontBlanc::PredictionsHandler PH{config["Predictions"], *DH, g, cuts}; + std::shared_ptr PH; + // Temporary + if (SIDIStype == 0) + PH = std::make_shared(config["Predictions"], *DH, gx, gz, cuts); + else + PH = std::make_shared(config["Predictions"], *DH, gz, cuts); + //MontBlanc::PredictionsHandler PH{config["Predictions"], *DH, gx, gz, cuts}; // Training fraction double TrainingFraction = ds["training fraction"].as(); @@ -176,11 +195,11 @@ int main(int argc, char *argv[]) throw std::runtime_error("Only closure tests level 0, 1, and 2 are defined."); // Construct LHAPDF Parameterisation with input FF set - NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(config["Data"]["closure_test"]["ffset"].as(), g); + NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(config["Data"]["closure_test"]["ffset"].as(), gz); // Set LHAPDF set as an input and compute predictions - PH.SetInputFFs(LHAPDF_FFs->DistributionFunction()); - const std::vector theories = PH.GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); + PH->SetInputFFs(LHAPDF_FFs->DistributionFunction()); + const std::vector theories = PH->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); // Data fluctuation seed, if zero no fluctuations const int df = (ctlvl == 0 ? 0 : config["Data"]["seed"].as()); @@ -208,14 +227,23 @@ int main(int argc, char *argv[]) // the DH and PH objects defined above (tables are not recomputed) // for the total dataset (used at the end of the fit to compute // the optimal chi2) and the training and validation subsets. - DSVect.push_back(std::make_pair(DHc, new MontBlanc::PredictionsHandler{PH})); - DSVectt.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{PH, {std::shared_ptr(new NangaParbat::TrainingCut{*TrainingCut})}})); - DSVectv.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{PH, {std::shared_ptr(new NangaParbat::TrainingCut{*ValidationCut})}})); + if (SIDIStype == 0) + { + DSVect.push_back(std::make_pair(DHc, new MontBlanc::PredictionsHandler{*dynamic_cast(PH.get())})); + DSVectt.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{*dynamic_cast(PH.get()), {std::shared_ptr(new NangaParbat::TrainingCut{*TrainingCut})}})); + DSVectv.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{*dynamic_cast(PH.get()), {std::shared_ptr(new NangaParbat::TrainingCut{*ValidationCut})}})); + } + else + { + DSVect.push_back(std::make_pair(DHc, new MontBlanc::PredictionsHandlerApprox{*dynamic_cast(PH.get())})); + DSVectt.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandlerApprox{*dynamic_cast(PH.get()), {std::shared_ptr(new NangaParbat::TrainingCut{*TrainingCut})}})); + DSVectv.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandlerApprox{*dynamic_cast(PH.get()), {std::shared_ptr(new NangaParbat::TrainingCut{*ValidationCut})}})); + } + } // NN Parameterisation - NangaParbat::Parameterisation *NN_FFs = new MontBlanc::NNADparameterisation(config["NNAD"], g); - + NangaParbat::Parameterisation *NN_FFs = new MontBlanc::NNADparameterisation(config["NNAD"], gz); // Initialiase chi2 objects for training and validation MontBlanc::AnalyticChiSquare *chi2t = new MontBlanc::AnalyticChiSquare{DSVectt, NN_FFs}; MontBlanc::AnalyticChiSquare *chi2v = new MontBlanc::AnalyticChiSquare{DSVectv, NN_FFs}; diff --git a/run/Predictions.cc b/run/Predictions.cc index fe59b88f5..a275d813c 100644 --- a/run/Predictions.cc +++ b/run/Predictions.cc @@ -87,11 +87,18 @@ int main(int argc, char *argv[]) // Set PDF set member to central set config["Predictions"]["pdfset"]["member"] = 0; - // APFEL++ x-space grid - std::vector vsg; - for (auto const& sg : config["Predictions"]["xgrid"]) - vsg.push_back({sg[0].as(), sg[1].as(), sg[2].as()}); - const std::shared_ptr g(new const apfel::Grid{vsg}); +// APFEL++ x-space and z-space grids + std::vector vsgx, vsgz; + const auto config_xgrid = config["Predictions"]["xgrid"]; + const auto config_zgrid = (config["Predictions"]["zgrid"] ? config["Predictions"]["zgrid"] : config_xgrid); + // Grid for x + for (auto const &sgx : config_xgrid) + vsgx.push_back({sgx[0].as(), sgx[1].as(), sgx[2].as()}); + const std::shared_ptr gx(new const apfel::Grid{vsgx}); + // Grid for z + for (auto const &sgz : config_zgrid) + vsgz.push_back({sgz[0].as(), sgz[1].as(), sgz[2].as()}); + const std::shared_ptr gz(new const apfel::Grid{vsgz}); // Run over the data set and gather pairs of DatHandler and // PredictionHandler pairs. Do not impose cuts to compute @@ -105,7 +112,7 @@ int main(int argc, char *argv[]) NangaParbat::DataHandler *DH = new NangaParbat::DataHandler{ds["name"].as(), YAML::LoadFile(datafolder + ds["file"].as())}; // Add block to the chi2 - DSVect.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{config["Predictions"], *DH, g})); + DSVect.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{config["Predictions"], *DH, gx, gz})); } // Run over the experiments, compute central values and standard @@ -146,7 +153,7 @@ int main(int argc, char *argv[]) for (int irep = 1; irep <= nrep; irep++) { // Construct chi2 object with the irep-th replica - MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{sets, g, irep}}; + MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{sets, gz, irep}}; const std::vector prds = DSVect[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); const std::pair, double> shifts = chi2.GetSystematicShifts(iexp); @@ -169,7 +176,7 @@ int main(int argc, char *argv[]) else { // Construct chi2 object with the 0-th replica - MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{sets, g, 0}}; + MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{sets, gz, 0}}; const std::vector prds = DSVect[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); const std::pair, double> shifts = chi2.GetSystematicShifts(iexp); for (int i = 0; i < (int) bins.size(); i++) diff --git a/src/predictions/CMakeLists.txt b/src/predictions/CMakeLists.txt index c6e2517d1..29ca815f3 100644 --- a/src/predictions/CMakeLists.txt +++ b/src/predictions/CMakeLists.txt @@ -1,5 +1,6 @@ set(predictions_source predictionshandler.cc + predictionshandler_approx.cc predictionshandlerdata.cc ) diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index 96827df1c..87bad9db2 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -6,22 +6,28 @@ #include "MontBlanc/predictionshandler.h" +#include +#include #include -#include -#include #include +#ifndef TABLE_DIR + #error "TABLE_DIR is not defined!" +#endif //TABLE_DIR + namespace MontBlanc { //_________________________________________________________________________ PredictionsHandler::PredictionsHandler(YAML::Node const& config, NangaParbat::DataHandler const& DH, - std::shared_ptr const& g, + std::shared_ptr const& gx, + std::shared_ptr const& gz, std::vector> const& cuts): NangaParbat::ConvolutionTable{}, _mu0(config["mu0"].as()), _Thresholds(config["thresholds"].as>()), - _g(g), + _gx(gx), + _gz(gz), _obs(DH.GetObservable()), _bins(DH.GetBinning()), _qTfact(DH.GetKinematics().qTfact), @@ -73,10 +79,10 @@ namespace MontBlanc // Initialize QCD time-like evolution operators and tabulated them const std::unique_ptr>> TabGammaij{new const apfel::TabulateObject> - {*(BuildDglap(InitializeDglapObjectsQCDT(*_g, _Thresholds, true), _mu0, PerturbativeOrder, Alphas)), 100, 1, 100, 3}}; + {*(BuildDglap(InitializeDglapObjectsQCDT(*_gz, _Thresholds, true), _mu0, PerturbativeOrder, Alphas)), 100, 1, 100, 3}}; // Zero operator - const apfel::Operator Zero{*_g, apfel::Null{}}; + const apfel::Operator Zero{*_gz, apfel::Null{}}; // Set cuts in the mother class this->_cuts = cuts; @@ -104,7 +110,7 @@ namespace MontBlanc std::map Gammaij = TabGammaij->Evaluate(Vs).GetObjects(); // Get F2 objects at the scale Vs - const apfel::StructureFunctionObjects F2Obj = apfel::InitializeF2NCObjectsZMT(*_g, _Thresholds)(Vs, apfel::ElectroWeakCharges(Vs, true)); + const apfel::StructureFunctionObjects F2Obj = apfel::InitializeF2NCObjectsZMT(*_gz, _Thresholds)(Vs, apfel::ElectroWeakCharges(Vs, true)); // Get skip vector const std::vector skip = F2Obj.skip; @@ -192,8 +198,10 @@ namespace MontBlanc std::function(double const&)> fBq = [=] (double const& Q) -> std::vector { return apfel::ElectroWeakCharges(Q, false); }; // Initialise inclusive structure functions - const auto IF2 = BuildStructureFunctions(InitializeF2NCObjectsZM(*_g, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); - const auto IFL = BuildStructureFunctions(InitializeFLNCObjectsZM(*_g, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); + // TODO + // Is _gx correct here? + const auto IF2 = BuildStructureFunctions(InitializeF2NCObjectsZM(*_gx, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); + const auto IFL = BuildStructureFunctions(InitializeFLNCObjectsZM(*_gx, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); // Inclusive cross section differential in x and Q as a // distribution function of Q @@ -213,6 +221,37 @@ namespace MontBlanc // Tabulate total inclusive cross sections in Q const apfel::TabulateObject TabIncXSecQ{IncXSecQ, 100, 1, 10, 3, _Thresholds}; + // LO + const apfel::DoubleOperator OT0ns{YAML::LoadFile(std::string(TABLE_DIR) + "/DoubleIdentity.yaml"), *_gx, *_gz, apfel::DoubleIdentity{}}; + // NLO + const apfel::DoubleOperator OT1ns{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2Q.yaml"), *_gx, *_gz, apfel::C1TQ2Q{}}; + const apfel::DoubleOperator OT1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2G.yaml"), *_gx, *_gz, apfel::C1TQ2G{}}; + const apfel::DoubleOperator OT1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TG2Q.yaml"), *_gx, *_gz, apfel::C1TG2Q{}}; + // NNLO + const apfel::DoubleOperator OT2ns_nf3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{3}}; + const apfel::DoubleOperator OT2ns_nf4{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{4}}; + const apfel::DoubleOperator OT2ns_nf5{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{5}}; + const apfel::DoubleOperator OT2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2G.yaml"), *_gx, *_gz, apfel::C2TQ2G{}}; + const apfel::DoubleOperator OT2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2Q.yaml"), *_gx, *_gz, apfel::C2TG2Q{}}; + const apfel::DoubleOperator OT2gg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2G.yaml"), *_gx, *_gz, apfel::C2TG2G{}}; + const apfel::DoubleOperator OT2qbq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QB.yaml"), *_gx, *_gz, apfel::C2TQ2QB{}}; + const apfel::DoubleOperator OT2qpq1{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP1.yaml"), *_gx, *_gz, apfel::C2TQ2QP1{}}; + const apfel::DoubleOperator OT2qpq2{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP2.yaml"), *_gx, *_gz, apfel::C2TQ2QP2{}}; + const apfel::DoubleOperator OT2qpq3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP3.yaml"), *_gx, *_gz, apfel::C2TQ2QP3{}}; + const apfel::DoubleOperator OT2ps{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QPS.yaml"), *_gx, *_gz, apfel::C2TQ2QPS{}}; + + const apfel::DoubleOperator OZero{*_gx, *_gz, apfel::DoubleNull{}}; + + apfel::DoubleOperator Ons = OT0ns; + apfel::DoubleOperator OTgq = OZero; + apfel::DoubleOperator OTqg = OZero; + apfel::DoubleOperator OTgg = OZero; + apfel::DoubleOperator OTps = OZero; + apfel::DoubleOperator OTqbq = OZero; + apfel::DoubleOperator OTqpq1 = OZero; + apfel::DoubleOperator OTqpq2 = OZero; + apfel::DoubleOperator OTqpq3 = OZero; + // Rotation Matrix from evolution to physical basis std::map> Tqi; for (int q = -6; q <= 6; q++) @@ -224,17 +263,12 @@ namespace MontBlanc Tqi[q].insert({j, apfel::RotQCDEvToPhysFull[q+6][j]}); } - // Initialize SIDIS objects. - const apfel::SidisObjects so = InitializeSIDIS(*_g, _Thresholds); - - // Semi-inclusive hard cross sections differential in x, Q, and z - // as a Set> function of Q. - const std::function>(double const&)> Ki = [&] (double const& Q) -> - apfel::Set> + // Defining the quark hard x-sec + const std::function(double const&)> Ki = [&] (double const& Q) -> apfel::Set { - // Strong coupling + // Coupling constant at NLO const double as = Alphas(Q) / apfel::FourPi; - const double as2 = as * as; + const double as2 = as * as; // Number of active flavours const int nf = apfel::NF(Q, _Thresholds); @@ -249,73 +283,123 @@ namespace MontBlanc const std::function func2 = [=] (double const& x) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; const std::function funcL = [=] (double const& x) -> double{ return - fact * pow(Q / Vs, 4) / pow(x, 3); }; - // Produce a map of distributions out of the PDFs in the - // physical basis - const std::map DistPDFs = apfel::DistributionMap(*_g, tPDFs, Q); + // Define operators that multiply all channels + if (PerturbativeOrder >= 1) + { + Ons += as * OT1ns; + OTgq += as * OT1gq; + OTqg += as * OT1qg; + } + if (PerturbativeOrder >= 2) + { + if (nf == 3) + Ons += as2 * OT2ns_nf3; + else if (nf == 4) + Ons += as2 * OT2ns_nf4; + else if (nf == 5) + Ons += as2 * OT2ns_nf5; + else + throw std::runtime_error("[PredictionsHandler::PredictionsHandler]: Unknown number of active flavours."); + + OTgq += as2 * OT2gq; + OTqg += as2 * OT2qg; + OTgg += as2 * OT2gg; + OTps += as2 * OT2ps; + OTqbq += as2 * OT2qbq; + OTqpq1 += as2 * OT2qpq1; + OTqpq2 += as2 * OT2qpq2; + OTqpq3 += as2 * OT2qpq3; + } + + // Produce a map of distributions out of the PDFs in the physical basis + // This line envelops the PDFs into a map of apfel::Distribution objects. These + // objects will then be convoluted. + const std::map DistPDFs = apfel::DistributionMap(*_gx, tPDFs, Q); // Initialise a map of double objects to be used to construct // a set - std::map> KiMap{}; + std::map KiMap{}; - // Start with the gluon channel and construct the relevant - // combination of PDFs + // gq channel (NLO + NNLO) + // ----------------------- apfel::Distribution eqfq = Bq[0] * ( DistPDFs.at(1) + DistPDFs.at(-1) ); for (int q = 2; q <= 5; q++) eqfq += Bq[q-1] * ( DistPDFs.at(q) + DistPDFs.at(-q) ); + const apfel::DistributionOperator C_gq_DO = OTgq.MultiplyFirstBy(eqfq); - // NLO gq for F2 and FL - apfel::DoubleObject D0t; - for (auto const& t: so.C21gq.GetTerms()) - D0t.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfq ), t.object2}); - for (auto const& t: so.CL1gq.GetTerms()) - D0t.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfq ), t.object2}); - KiMap.insert({0, D0t}); + // gg channel (NNLO) + // ----------------- + const double etot = std::accumulate(Bq.begin(), Bq.begin() + nf, 0.); + const apfel::Distribution eqfgTgi = etot * DistPDFs.at(21); // gluon + const apfel::DistributionOperator C_gg_DO = OTgg.MultiplyFirstBy(eqfgTgi); - // Now run over the quark evolution basis + // Sum the gg and gq channels and insert into Ki map + KiMap.insert({0, C_gq_DO + C_gg_DO}); // DO = Double Operator + + // Construct the other channels for (int i = 1; i < 13; i++) { - apfel::DoubleObject Dit; - - // Useful combination + // Distribution for qq channel NS (LO + NLO + NNLO) + // ------------------------------------------------ apfel::Distribution eqfqTqi = Bq[0] * ( DistPDFs.at(1) * Tqi.at(1).at(i) + DistPDFs.at(-1) * Tqi.at(-1).at(i) ); for (int q = 2; q <= 5; q++) eqfqTqi += Bq[q-1] * ( DistPDFs.at(q) * Tqi.at(q).at(i) + DistPDFs.at(-q) * Tqi.at(-q).at(i) ); + const apfel::DistributionOperator C_qq_NS = Ons.MultiplyFirstBy(eqfqTqi); - // LO (F2 only) - for (auto const& t: so.C20qq.GetTerms()) - Dit.AddTerm({t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); - - // NLO qq for F2 and FL - for (auto const& t: so.C21qq.GetTerms()) - Dit.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); - for (auto const& t: so.CL1qq.GetTerms()) - Dit.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfqTqi ), t.object2}); - - // NLO qg for F2 and FL + // Distribution for qg channel (NLO + NNLO) + // ---------------------------------------- double eqTqi = 0; for (int q = 1; q <= 5; q++) eqTqi += Bq[q-1] * ( Tqi.at(q).at(i) + Tqi.at(-q).at(i) ); + const apfel::Distribution fgeqTqi = eqTqi * DistPDFs.at(21); + const apfel::DistributionOperator C_qg = OTqg.MultiplyFirstBy(fgeqTqi); + + // Distribution PS (NNLO) + // ---------------------- + apfel::Distribution etot_fqTqi = DistPDFs.at(1) * Tqi.at(1).at(i) + DistPDFs.at(-1) * Tqi.at(-1).at(i); + for (int q = 2; q <= 5; q++) + etot_fqTqi += DistPDFs.at(q) * Tqi.at(q).at(i) + DistPDFs.at(-q) * Tqi.at(-q).at(i); + etot_fqTqi *= etot; + const apfel::DistributionOperator C_qq_ps = OTps.MultiplyFirstBy(etot_fqTqi); - if (eqTqi != 0) + // Distribution for \bar{q}q channel (NNLO) + // ---------------------------------------- + apfel::Distribution eqfmqTqi = Bq[0] * ( DistPDFs.at(-1) * Tqi.at(1).at(i) + DistPDFs.at(1) * Tqi.at(-1).at(i) ); + for (int q = 2; q <= 5; q++) + eqfmqTqi += Bq[q-1] * ( DistPDFs.at(-q) * Tqi.at(q).at(i) + DistPDFs.at(q) * Tqi.at(-q).at(i) ); + apfel::DistributionOperator C_qbq = OTqbq.MultiplyFirstBy(eqfmqTqi); + + // Distribution (1), (2) and (3) for q'q (NNLO) + // -------------------------------------------- + apfel::Distribution eq1fq1Tq2i{*_gx, [] (double const&) -> double { return 0.0; }}; + apfel::Distribution eq1fq2Tq1i{*_gx, [] (double const&) -> double { return 0.0; }}; + apfel::Distribution eq1eq2fq2Tq1i{*_gx, [] (double const&) -> double { return 0.0; }}; + for (int q1 = -nf; q1 <= nf; q1++) { - for (auto const& t: so.C21qg.GetTerms()) - Dit.AddTerm({as * eqTqi * t.coefficient, func2 * ( t.object1 * DistPDFs.at(21) ), t.object2}); - for (auto const& t: so.CL1qg.GetTerms()) - Dit.AddTerm({as * eqTqi * t.coefficient, funcL * ( t.object1 * DistPDFs.at(21) ), t.object2}); + for (int q2 = -nf; q2 <= nf; q2++) + { + if (q1 == 0 || q2 == 0) + continue; + + if (q1 != q2 && q1 != -q2) + { + eq1fq1Tq2i += Bq[std::abs(q1)-1] * DistPDFs.at(q1) * Tqi.at(q2).at(i); + eq1fq2Tq1i += Bq[std::abs(q2)-1] * DistPDFs.at(q1) * Tqi.at(q2).at(i); + eq1eq2fq2Tq1i += (q1*q2 < 0 ? -1 : 1) * sqrt(Bq[q1-1] * Bq[q2-1]) * DistPDFs.at(q1) * Tqi.at(q2).at(i); + } + } } - - // NNLO qq for F2 - if (PerturbativeOrder > 1) - for (auto const& t: so.C22qq.at(nf).GetTerms()) - Dit.AddTerm({as2 * t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); - - KiMap.insert({i, Dit}); + apfel::DistributionOperator C_qpq_1 = OTqpq1.MultiplyFirstBy(eq1fq1Tq2i); + apfel::DistributionOperator C_qpq_2 = OTqpq2.MultiplyFirstBy(eq1fq2Tq1i); + apfel::DistributionOperator C_qpq_3 = OTqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); + KiMap.insert({i, C_qq_NS + C_qg + C_qq_ps + C_qbq + C_qpq_1 + C_qpq_2 + C_qpq_3}); } - return apfel::Set>{KiMap}; + + return apfel::Set{KiMap}; }; // Tabulate semi-inclusive cross sections in Q - const apfel::TabulateObject>> TabKi{Ki, 100, 1, 10, 3, _Thresholds}; + const apfel::TabulateObject> TabKi{Ki, 100, 1, 10, 3, _Thresholds}; // Pointers to the tabulated functions std::unique_ptr> TabIncQIntegrand; @@ -418,17 +502,14 @@ namespace MontBlanc else throw std::runtime_error("[PredictionsHandler::PredictionsHandler]: Unknown Observable."); - // Get Ki objects at the scale Q - const std::map> Ki = TabKi.Evaluate(Q).GetObjects(); + // Get Ki_map objects at the scale Q + const std::map Ki_map = TabKi.Evaluate(Q).GetObjects(); // Compute integral of Ki in x and construct a set std::map IntKi; - for (auto const& tms : Ki) + for (auto const& tms : Ki_map) { - apfel::Operator cumulant = Zero; - for (auto const& t : tms.second.GetTerms()) - cumulant += t.coefficient * (_bins[i].Intx ? t.object1.Integrate(xbmin, xbmax) : t.object1.Evaluate(_bins[i].xav)) * t.object2; - + apfel::Operator cumulant = (_bins[i].Intx ? tms.second.Integrate(xbmin, xbmax) : tms.second.Evaluate(_bins[i].xav)); IntKi.insert({tms.first, cumulant}); }; @@ -436,25 +517,26 @@ namespace MontBlanc apfel::Set Gammaij = TabGammaij->Evaluate(Q); // Intialise container for the FK table - std::map Nj; + std::map Nj_map; for (int j = 0; j < 13; j++) - Nj.insert({j, Zero}); + Nj_map.insert({j, Zero}); // Compute the product of Ki and Gammaij and adjust the // convolution basis for (int j = 0; j < 13; j++) for (int i = 0; i < 13; i++) if (apfel::Gkj.count({i, j}) != 0) - Nj.at(j) += IntKi.at(i) * Gammaij.at(apfel::Gkj.at({i, j})); + Nj_map.at(j) += IntKi.at(i) * Gammaij.at(apfel::Gkj.at({i, j})); // Return the result - return apfel::Set {_cmap, Nj}; + return apfel::Set {_cmap, Nj_map}; }; // Tabulate cross section TabIncQIntegrand = std::unique_ptr> {new apfel::TabulateObject {IncQIntegrand, 50, 0.9 * Qmin, 1.1 * Qmax, 3, _Thresholds}}; TabSemiIncQIntegrand = std::unique_ptr>> (new apfel::TabulateObject> {Nj, 50, 0.9 * Qmin, 1.1 * Qmax, 3, _Thresholds}); + // Push back multiplicities if (_bins[i].IntQ) _FKt.push_back(apfel::Set {pref * TabSemiIncQIntegrand->Integrate(Qmin, Qmax) / TabIncQIntegrand->Integrate(Qmin, Qmax)}); @@ -479,7 +561,8 @@ namespace MontBlanc NangaParbat::ConvolutionTable{}, _mu0(PH._mu0), _Thresholds(PH._Thresholds), - _g(PH._g), + _gx(PH._gx), + _gz(PH._gz), _obs(PH._obs), _bins(PH._bins), _qTfact(PH._qTfact), diff --git a/src/predictions/predictionshandler_approx.cc b/src/predictions/predictionshandler_approx.cc new file mode 100644 index 000000000..9aa4631d6 --- /dev/null +++ b/src/predictions/predictionshandler_approx.cc @@ -0,0 +1,551 @@ +// +// Authors: Rabah Abdul Khalek: rabah.khalek@gmail.com +// Valerio Bertone: valerio.bertone@cern.ch +// Emanuele R. Nocera: emanuele.nocera@ed.ac.uk +// + +#include "MontBlanc/predictionshandler_approx.h" + +#include +#include +#include +#include + +namespace MontBlanc +{ + //_________________________________________________________________________ + PredictionsHandlerApprox::PredictionsHandlerApprox(YAML::Node const& config, + NangaParbat::DataHandler const& DH, + std::shared_ptr const& g, + std::vector> const& cuts): + NangaParbat::ConvolutionTable{}, + _mu0(config["mu0"].as()), + _Thresholds(config["thresholds"].as>()), + _g(g), + _obs(DH.GetObservable()), + _bins(DH.GetBinning()), + _qTfact(DH.GetKinematics().qTfact), + _cmap(apfel::DiagonalBasis{13}) + { + // Set silent mode for both apfel=+ and LHAPDF; + apfel::SetVerbosityLevel(0); + LHAPDF::setVerbosity(0); + + // Charge map used to discriminate between positive, negative and + // sum of charged hadrons. + const int charge = DH.GetCharge(); + if (charge == 1) + // For positive hadrons, being them the default, the charge map + // is all one's + _ChargeMap.resize(13, 1); + else if (charge == -1) + { + // For negative hadrons, charge conjugation leaves the sea-like + // distributions (Sigma, T3, T8, ...) unchanged but changes the + // sign of the valence-like ones (V, V3, V8, etc.). + _ChargeMap.resize(13, 1); + for (int i = 1; i <= 6; i++) + _ChargeMap[2 * i] = - 1; + } + else if (charge == 0) + { + // For the sum of positive and negative hadrons, total-like + // distributions (Sigma, T3, T8, ...) double while valence-like + // distributions (V, V3, V8, etc.) cancel. + _ChargeMap.resize(13, 2); + for (int i = 1; i <= 6; i++) + _ChargeMap[2 * i] = 0; + } + else + throw std::runtime_error("[PredictionsHandlerApprox::PredictionsHandlerApprox]: Unsupported charge."); + + // Perturbative order + const int PerturbativeOrder = config["perturbative order"].as(); + + // Alpha_s + const apfel::TabulateObject TabAlphas{*(new apfel::AlphaQCD + {config["alphas"]["aref"].as(), config["alphas"]["Qref"].as(), _Thresholds, PerturbativeOrder}), 100, 0.9, 1001, 3}; + const auto Alphas = [&] (double const& mu) -> double{ return TabAlphas.Evaluate(mu); }; + + // Electromagnetic coupling + const apfel::AlphaQED alphaem{config["alphaem"]["aref"].as(), config["alphaem"]["Qref"].as(), _Thresholds, {0, 0, 1.777}, 0}; + const auto Alphaem = [&] (double const& mu) -> double{ return alphaem.Evaluate(mu); }; + + // Initialize QCD time-like evolution operators and tabulated them + const std::unique_ptr>> TabGammaij{new const apfel::TabulateObject> + {*(BuildDglap(InitializeDglapObjectsQCDT(*_g, _Thresholds, true), _mu0, PerturbativeOrder, Alphas)), 100, 1, 100, 3}}; + + // Zero operator + const apfel::Operator Zero{*_g, apfel::Null{}}; + + // Set cuts in the mother class + this->_cuts = cuts; + + // Compute total cut mask as a product of single masks + _cutmask.resize(_bins.size(), true); + for (auto const& c : _cuts) + _cutmask *= c->GetMask(); + + // Center of mass energy + const double Vs = DH.GetKinematics().Vs; + + // Overall prefactor + const double pref = DH.GetPrefactor(); + + if (DH.GetProcess() == NangaParbat::DataHandler::Process::SIA) + { + // Get the strong coupling + const double as = Alphas(Vs); + + // Get fine-structure constant + const double aem = Alphaem(Vs); + + // Get evolution-operator objects + std::map Gammaij = TabGammaij->Evaluate(Vs).GetObjects(); + + if (PerturbativeOrder == 2) + throw std::runtime_error("[PredictionsHandlerApprox::PredictionsHandlerApprox]: Exact NNLO is not supported for SIA (?)."); + + // Get F2 objects at the scale Vs + const apfel::StructureFunctionObjects F2Obj = apfel::InitializeF2NCObjectsZMT(*_g, _Thresholds)(Vs, apfel::ElectroWeakCharges(Vs, true)); + + // Get skip vector + const std::vector skip = F2Obj.skip; + + // Intialise container for the FK table + std::map Cj; + for (int j = 0; j < 13; j++) + Cj.insert({j, Zero}); + + // Initialise total cross section + double xsec = 0; + + // Loop over the quark components + for (apfel::QuarkFlavour comp : DH.GetTagging()) + { + // Combine perturbative contributions to the coefficient + // functions + apfel::Set Ki = F2Obj.C0.at(comp); + if (PerturbativeOrder > 0) + Ki += ( as / apfel::FourPi ) * F2Obj.C1.at(comp); + if (PerturbativeOrder > 1) + Ki += pow(as / apfel::FourPi, 2) * F2Obj.C2.at(comp); + + // Convolute coefficient functions with the evolution + // operators + for (int j = 0; j < 13; j++) + { + std::map gj; + for (int i = 0; i < 13; i++) + if (apfel::Gkj.count({i, j}) == 0 || (std::find(skip.begin(), skip.end(), i) != skip.end())) + gj.insert({i, Zero}); + else + gj.insert({i, Gammaij.at(apfel::Gkj.at({i, j}))}); + + // Convolute distributions, combine them and return. + Cj.at(j) += (Ki * apfel::Set {F2Obj.ConvBasis.at(comp), gj}).Combine(); + } + + // Update total cross sections + xsec += apfel::GetSIATotalCrossSection(PerturbativeOrder, Vs, as, aem, _Thresholds, comp); + } + + // If the cross section is not normalised, set the total cross + // section to one. + if (!DH.GetNormalised()) + xsec = 1; + + // Combine coefficient functions with the total cross section + // prefactor, including the overall prefactor. Push the same + // resulting set of operators into the FK container as many + // times as bins. This is not optimal but more symmetric with + // the SIDIS case. + for (int i = 0; i < (int) _bins.size(); i++) + if (!_cutmask[i]) + _FKt.push_back(apfel::Set {_cmap, std::map{}}); + else + _FKt.push_back(apfel::Set + {(pref * apfel::GetSIATotalCrossSection(0, Vs, as, aem, _Thresholds, apfel::QuarkFlavour::TOTAL, true) / xsec ) * apfel::Set{_cmap, Cj}}); + } + else if (DH.GetProcess() == NangaParbat::DataHandler::Process::SIDIS) + { + // PDF set + const LHAPDF::PDF* PDFs = LHAPDF::mkPDF(config["pdfset"]["name"].as(), config["pdfset"]["member"].as()); + + // Target isoscalarity + const double iso = DH.GetTargetIsoscalarity(); + + // Adjust PDFs to account for the isoscalarity + const std::function(double const&, double const&)> tPDFs = [&] (double const& x, double const& Q) -> std::map + { + const std::map pr = PDFs->xfxQ(x, Q); + std::map tg = pr; + tg.at(1) = iso * pr.at(1) + ( 1 - iso ) * pr.at(2); + tg.at(2) = iso * pr.at(2) + ( 1 - iso ) * pr.at(1); + tg.at(-1) = iso * pr.at(-1) + ( 1 - iso ) * pr.at(-2); + tg.at(-2) = iso * pr.at(-2) + ( 1 - iso ) * pr.at(-1); + return tg; + }; + + // Rotate input PDF set into the QCD evolution basis + const auto RotPDFs = [=] (double const& x, double const& mu) -> std::map { return apfel::PhysToQCDEv(tPDFs(x, mu)); }; + + // EW charges. Set to zero charges of the flavours that are + // not tagged. + std::function(double const&)> fBq = [=] (double const& Q) -> std::vector { return apfel::ElectroWeakCharges(Q, false); }; + + // Initialise inclusive structure functions + const auto IF2 = BuildStructureFunctions(InitializeF2NCObjectsZM(*_g, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); + const auto IFL = BuildStructureFunctions(InitializeFLNCObjectsZM(*_g, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); + + // Inclusive cross section differential in x and Q as a + // distribution function of Q + const std::function IncXSecQ = [&] (double const& Q) -> apfel::Distribution + { + // Overall Q-dependent factor of the cross section + const double fact = 4 * M_PI * pow(Alphaem(Q), 2) / pow(Q, 3); + + // Functions that multiply F2 and FL + const std::function func2 = [=] (double const& x) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; + const std::function funcL = [=] (double const& x) -> double{ return - fact * pow(Q / Vs, 4) / pow(x, 3); }; + + // Return cross section + return func2 * IF2.at(0).Evaluate(Q) + funcL * IFL.at(0).Evaluate(Q); + }; + + // Tabulate total inclusive cross sections in Q + const apfel::TabulateObject TabIncXSecQ{IncXSecQ, 100, 1, 10, 3, _Thresholds}; + + // Rotation Matrix from evolution to physical basis + std::map> Tqi; + for (int q = -6; q <= 6; q++) + { + if (q == 0) + continue; + Tqi.insert({q, std::map{}}); + for (int j = 1; j <= 12; j++) + Tqi[q].insert({j, apfel::RotQCDEvToPhysFull[q+6][j]}); + } + + // Initialize SIDIS objects. + const apfel::SidisObjects so = InitializeSIDIS(*_g, _Thresholds); + + // Semi-inclusive hard cross sections differential in x, Q, and z + // as a Set> function of Q. + const std::function>(double const&)> Ki = [&] (double const& Q) -> + apfel::Set> + { + // Strong coupling + const double as = Alphas(Q) / apfel::FourPi; + const double as2 = as * as; + + // Number of active flavours + const int nf = apfel::NF(Q, _Thresholds); + + // Get charges + const std::vector Bq = fBq(Q); + + // Overall Q-dependent factor of the cross section + const double fact = 4 * M_PI * pow(Alphaem(Q), 2) / pow(Q, 3); + + // Functions that multiply F2 and FL + const std::function func2 = [=] (double const& x) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; + const std::function funcL = [=] (double const& x) -> double{ return - fact * pow(Q / Vs, 4) / pow(x, 3); }; + + // Produce a map of distributions out of the PDFs in the + // physical basis + const std::map DistPDFs = apfel::DistributionMap(*_g, tPDFs, Q); + + // Initialise a map of double objects to be used to construct + // a set + std::map> KiMap{}; + + // Start with the gluon channel and construct the relevant + // combination of PDFs + apfel::Distribution eqfq = Bq[0] * ( DistPDFs.at(1) + DistPDFs.at(-1) ); + for (int q = 2; q <= 5; q++) + eqfq += Bq[q-1] * ( DistPDFs.at(q) + DistPDFs.at(-q) ); + + // NLO gq for F2 and FL + apfel::DoubleObject D0t; + for (auto const& t: so.C21gq.GetTerms()) + D0t.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfq ), t.object2}); + for (auto const& t: so.CL1gq.GetTerms()) + D0t.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfq ), t.object2}); + KiMap.insert({0, D0t}); + + // Now run over the quark evolution basis + for (int i = 1; i < 13; i++) + { + apfel::DoubleObject Dit; + + // Useful combination + apfel::Distribution eqfqTqi = Bq[0] * ( DistPDFs.at(1) * Tqi.at(1).at(i) + DistPDFs.at(-1) * Tqi.at(-1).at(i) ); + for (int q = 2; q <= 5; q++) + eqfqTqi += Bq[q-1] * ( DistPDFs.at(q) * Tqi.at(q).at(i) + DistPDFs.at(-q) * Tqi.at(-q).at(i) ); + + // LO (F2 only) + for (auto const& t: so.C20qq.GetTerms()) + Dit.AddTerm({t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); + + // NLO qq for F2 and FL + for (auto const& t: so.C21qq.GetTerms()) + Dit.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); + for (auto const& t: so.CL1qq.GetTerms()) + Dit.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfqTqi ), t.object2}); + + // NLO qg for F2 and FL + double eqTqi = 0; + for (int q = 1; q <= 5; q++) + eqTqi += Bq[q-1] * ( Tqi.at(q).at(i) + Tqi.at(-q).at(i) ); + + if (eqTqi != 0) + { + for (auto const& t: so.C21qg.GetTerms()) + Dit.AddTerm({as * eqTqi * t.coefficient, func2 * ( t.object1 * DistPDFs.at(21) ), t.object2}); + for (auto const& t: so.CL1qg.GetTerms()) + Dit.AddTerm({as * eqTqi * t.coefficient, funcL * ( t.object1 * DistPDFs.at(21) ), t.object2}); + } + + // NNLO qq for F2 + if (PerturbativeOrder > 1) + for (auto const& t: so.C22qq.at(nf).GetTerms()) + Dit.AddTerm({as2 * t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); + + KiMap.insert({i, Dit}); + } + return apfel::Set>{KiMap}; + }; + + // Tabulate semi-inclusive cross sections in Q + const apfel::TabulateObject>> TabKi{Ki, 100, 1, 10, 3, _Thresholds}; + + // Pointers to the tabulated functions + std::unique_ptr> TabIncQIntegrand; + std::unique_ptr>> TabSemiIncQIntegrand; + + // Keep track of the integration bounds to avoid unneeded + // computations + double xl = -1; + double xu = -1; + double xc = -1; + double Ql = -1; + double Qu = -1; + double Qc = -1; + + // Integrate inclusive cross sections and store them + for (int i = 0; i < (int) _bins.size(); i++) + { + double Qmin; + double Qmax; + if (_obs == NangaParbat::DataHandler::Observable::dsigma_dxdydz) + { + Qmin = std::max(sqrt(_bins[i].xmin * _bins[i].ymin) * Vs, DH.GetKinematics().var1b.first); + Qmax = sqrt(_bins[i].xmax * _bins[i].ymax) * Vs; + } + else if (_obs == NangaParbat::DataHandler::Observable::dsigma_dxdQdz) + { + Qmin = _bins[i].Qmin; + Qmax = _bins[i].Qmax; + } + else + throw std::runtime_error("[PredictionsHandlerApprox::PredictionsHandlerApprox]: Unknown Observable."); + + // If the point does not obey the cut, set FK table to zero and continue + if (!_cutmask[i]) + { + _FKt.push_back(apfel::Set {_cmap, std::map{}}); + continue; + } + + // If the integration bounds in x and Q are the same, no need + // to redo the computation. + if ((_bins[i].Intx ? xl == _bins[i].xmin && xu == _bins[i].xmax : xc == _bins[i].xav) && + (_bins[i].IntQ ? Ql == Qmin && Qu == Qmax : Qc == _bins[i].Qav)) + { + _FKt.push_back(_FKt.back()); + continue; + } + + // Tabulate Q integrand for the inclusive cross section + const std::function IncQIntegrand = [=] (double const& Q) -> double + { + // Integration bounds in x + double xbmin; + double xbmax; + if (_obs == NangaParbat::DataHandler::Observable::dsigma_dxdydz) + { + xbmin = std::max(_bins[i].xmin, pow(Q / Vs, 2) / _bins[i].ymax); + xbmax = std::min(_bins[i].xmax, pow(Q / Vs, 2) / _bins[i].ymin); + if (DH.GetKinematics().PSRed) + xbmax = std::min(xbmax, 1 / ( 1 + pow(DH.GetKinematics().pTMin / Q, 2) )); + } + else if (_obs == NangaParbat::DataHandler::Observable::dsigma_dxdQdz) + { + xbmin = _bins[i].xmin; + xbmax = _bins[i].xmax; + if (DH.GetKinematics().PSRed) + { + xbmin = std::max(xbmin, pow(Q / Vs, 2) / DH.GetKinematics().etaRange.second); + xbmax = std::min(std::min(xbmax, pow(Q / Vs, 2) / DH.GetKinematics().etaRange.first), 1 / ( 1 + pow(DH.GetKinematics().pTMin / Q, 2) )); + } + } + else + throw std::runtime_error("[PredictionsHandlerApprox::PredictionsHandlerApprox]: Unknown Observable."); + return (_bins[i].Intx ? TabIncXSecQ.Evaluate(Q).Integrate(xbmin, xbmax) : TabIncXSecQ.Evaluate(Q).Evaluate(_bins[i].xav)); + }; + + // Tabulate Q integrand for the semi-inclusive cross section + const std::function(double const&)> Nj = [&] (double const& Q) -> apfel::Set + { + // Integration bounds in x + double xbmin; + double xbmax; + if (_obs == NangaParbat::DataHandler::Observable::dsigma_dxdydz) + { + xbmin = std::max(_bins[i].xmin, pow(Q / Vs, 2) / _bins[i].ymax); + xbmax = std::min(_bins[i].xmax, pow(Q / Vs, 2) / _bins[i].ymin); + if (DH.GetKinematics().PSRed) + xbmax = std::min(xbmax, 1 / ( 1 + pow(DH.GetKinematics().pTMin / Q, 2) )); + } + else if (_obs == NangaParbat::DataHandler::Observable::dsigma_dxdQdz) + { + xbmin = _bins[i].xmin; + xbmax = _bins[i].xmax; + if (DH.GetKinematics().PSRed) + { + xbmin = std::max(xbmin, pow(Q / Vs, 2) / DH.GetKinematics().etaRange.second); + xbmax = std::min(std::min(xbmax, pow(Q / Vs, 2) / DH.GetKinematics().etaRange.first), 1 / ( 1 + pow(DH.GetKinematics().pTMin / Q, 2) )); + } + } + else + throw std::runtime_error("[PredictionsHandlerApprox::PredictionsHandlerApprox]: Unknown Observable."); + + // Get Ki objects at the scale Q + const std::map> Ki = TabKi.Evaluate(Q).GetObjects(); + + // Compute integral of Ki in x and construct a set + std::map IntKi; + for (auto const& tms : Ki) + { + apfel::Operator cumulant = Zero; + for (auto const& t : tms.second.GetTerms()) + cumulant += t.coefficient * (_bins[i].Intx ? t.object1.Integrate(xbmin, xbmax) : t.object1.Evaluate(_bins[i].xav)) * t.object2; + + IntKi.insert({tms.first, cumulant}); + }; + + // Get evolution operator + apfel::Set Gammaij = TabGammaij->Evaluate(Q); + + // Intialise container for the FK table + std::map Nj; + for (int j = 0; j < 13; j++) + Nj.insert({j, Zero}); + + // Compute the product of Ki and Gammaij and adjust the + // convolution basis + for (int j = 0; j < 13; j++) + for (int i = 0; i < 13; i++) + if (apfel::Gkj.count({i, j}) != 0) + Nj.at(j) += IntKi.at(i) * Gammaij.at(apfel::Gkj.at({i, j})); + + // Return the result + return apfel::Set {_cmap, Nj}; + }; + + // Tabulate cross section + TabIncQIntegrand = std::unique_ptr> {new apfel::TabulateObject {IncQIntegrand, 50, 0.9 * Qmin, 1.1 * Qmax, 3, _Thresholds}}; + TabSemiIncQIntegrand = std::unique_ptr>> + (new apfel::TabulateObject> {Nj, 50, 0.9 * Qmin, 1.1 * Qmax, 3, _Thresholds}); + // Push back multiplicities + if (_bins[i].IntQ) + _FKt.push_back(apfel::Set {pref * TabSemiIncQIntegrand->Integrate(Qmin, Qmax) / TabIncQIntegrand->Integrate(Qmin, Qmax)}); + else + _FKt.push_back(apfel::Set {pref * TabSemiIncQIntegrand->Evaluate(_bins[i].Qav) / TabIncQIntegrand->Evaluate(_bins[i].Qav)}); + + xl = _bins[i].xmin; + xu = _bins[i].xmax; + xc = _bins[i].xav; + Ql = Qmin; + Qu = Qmax; + Qc = _bins[i].Qav; + } + } + else + throw std::runtime_error("[PredictionsHandlerApprox::PredictionsHandlerApprox]: Unknown Process."); + } + + //_________________________________________________________________________ + PredictionsHandlerApprox::PredictionsHandlerApprox(PredictionsHandlerApprox const& PH, + std::vector> const& cuts): + NangaParbat::ConvolutionTable{}, + _mu0(PH._mu0), + _Thresholds(PH._Thresholds), + _g(PH._g), + _obs(PH._obs), + _bins(PH._bins), + _qTfact(PH._qTfact), + _cmap(PH._cmap), + _ChargeMap(PH._ChargeMap) + { + // Set cuts in the mather class + _cuts = PH._cuts; + + // Compute total cut mask as a product of single masks + _cutmask = PH._cutmask; + for (auto const& c : cuts) + _cutmask *= c->GetMask(); + + // Impose new cuts + _FKt.resize(_bins.size()); + for (int i = 0; i < (int) _bins.size(); i++) + _FKt[i] = (_cutmask[i] ? PH._FKt[i] : apfel::Set {_cmap, std::map{}}); + } + + //_________________________________________________________________________ + void PredictionsHandlerApprox::SetInputFFs(std::function(double const&)> const& InDistFunc) + { + // Construct set of distributions + _D = apfel::Set {_ChargeMap * InDistFunc(_mu0)}; + } + + //_________________________________________________________________________ + std::vector PredictionsHandlerApprox::GetPredictions(std::function const&) const + { + // Initialise vector of predictions + std::vector preds(_bins.size()); + + // Compute predictions by convoluting the precomputed kernels with + // the initial-scale FFs and then perform the integration in + // z. Finally Divide by the bin width in z. + for (int id = 0; id < (int) _bins.size(); id++) + if (_bins[id].Intz) + preds[id] = (_cutmask[id] ? ((_FKt[id] * _D).Combine() * [] (double const& z) -> double{ return 1 / z; }).Integrate(_bins[id].zmin, _bins[id].zmax) + / ( _bins[id].zmax - _bins[id].zmin ) * _qTfact[id] : 0); + else + preds[id] = (_cutmask[id] ? (_FKt[id] * _D).Combine().Evaluate(_bins[id].zav) / _bins[id].zav * _qTfact[id] : 0); + + return preds; + } + + //_________________________________________________________________________ + std::vector PredictionsHandlerApprox::GetPredictions(std::function const&, + std::function const&) const + { + return PredictionsHandlerApprox::GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); + } + + //_________________________________________________________________________ + std::vector PredictionsHandlerApprox::GetPredictions(std::function const&) const + { + return PredictionsHandlerApprox::GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); + } + + //_________________________________________________________________________ + std::vector PredictionsHandlerApprox::GetPredictions(std::function const&, + std::function const&) const + { + return PredictionsHandlerApprox::GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); + } +} diff --git a/tables/C1LG2Q.yaml b/tables/C1LG2Q.yaml new file mode 100644 index 000000000..3dd8075aa --- /dev/null +++ b/tables/C1LG2Q.yaml @@ -0,0 +1,11 @@ +DoubleExpression: C1LG2Q +Integration accuracy: 1e-05 +FirstGrid: + - [100, 0.001, 3] + - [33, 0.1023293, 3] + - [48, 0.81283052, 3] +SecondGrid: + - [100, 0.01, 3] + - [34, 0.20892961, 3] + - [48, 0.83176377, 3] +DoubleOperator: [[[[6.3634376e-05, 0.00019315549, 0.00014943124, 0.00014971619, 0.00014297785, 0.00013654279, 0.00013039735, 0.0001245285, 0.0001189238, 0.00011357134, 0.00010845979, 0.0001035783, 9.8916505e-05, 9.4464529e-05, 9.0212924e-05, 8.6152674e-05, 8.2275165e-05, 7.8572173e-05, 7.5035842e-05, 7.1658673e-05, 6.8433501e-05, 6.5353487e-05, 6.2412095e-05, 5.9603088e-05, 5.6920507e-05, 5.4358662e-05, 5.191212e-05, 4.9575689e-05, 4.7344416e-05, 4.5213566e-05, 4.317862e-05, 4.1235262e-05, 3.937937e-05, 3.7607006e-05, 3.5914412e-05, 3.4297997e-05, 3.2754333e-05, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]]] diff --git a/tests/ClosureTests.cc b/tests/ClosureTests.cc index 5e1de07fc..7ff92cfd4 100644 --- a/tests/ClosureTests.cc +++ b/tests/ClosureTests.cc @@ -33,14 +33,21 @@ int main(int argc, char *argv[]) // Set silent mode for APFEL++ apfel::SetVerbosityLevel(0); - // APFEL++ x-space grid - std::vector vsg; - for (auto const& sg : config["Predictions"]["xgrid"]) - vsg.push_back({sg[0].as(), sg[1].as(), sg[2].as()}); - const std::shared_ptr g(new const apfel::Grid{vsg}); +// APFEL++ x-space and z-space grids + std::vector vsgx, vsgz; + const auto config_xgrid = config["Predictions"]["xgrid"]; + const auto config_zgrid = (config["Predictions"]["zgrid"] ? config["Predictions"]["zgrid"] : config_xgrid); + // Grid for x + for (auto const &sgx : config_xgrid) + vsgx.push_back({sgx[0].as(), sgx[1].as(), sgx[2].as()}); + const std::shared_ptr gx(new const apfel::Grid{vsgx}); + // Grid for z + for (auto const &sgz : config_zgrid) + vsgz.push_back({sgz[0].as(), sgz[1].as(), sgz[2].as()}); + const std::shared_ptr gz(new const apfel::Grid{vsgz}); // LHAPDF Parameterisation - NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation("NNFF10_PIsum_nlo", g); + NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation("NNFF10_PIsum_nlo", gz); // Initialise GSL random-number generator gsl_rng *rng = gsl_rng_alloc(gsl_rng_ranlxs2); @@ -62,7 +69,7 @@ int main(int argc, char *argv[]) cuts.push_back(NangaParbat::CutFactory::GetInstance(*(DHVect[0].back()), c["name"].as(), c["min"].as(), c["max"].as())); // Predictions - CTVect.push_back(new MontBlanc::PredictionsHandler{config["Predictions"], *(DHVect[0].back()), g, cuts}); + CTVect.push_back(new MontBlanc::PredictionsHandler{config["Predictions"], *(DHVect[0].back()), gx, gz, cuts}); chi2s.insert({ds["name"].as(), {}}); } diff --git a/tests/Reweighting.cc b/tests/Reweighting.cc index 203891b5f..a5fd1cd01 100644 --- a/tests/Reweighting.cc +++ b/tests/Reweighting.cc @@ -44,11 +44,18 @@ int main(int argc, char *argv[]) // Set silent mode for APFEL++ apfel::SetVerbosityLevel(0); - // APFEL++ x-space grid - std::vector vsg; - for (auto const& sg : config["Predictions"]["xgrid"]) - vsg.push_back({sg[0].as(), sg[1].as(), sg[2].as()}); - const std::shared_ptr g(new const apfel::Grid{vsg}); +// APFEL++ x-space and z-space grids + std::vector vsgx, vsgz; + const auto config_xgrid = config["Predictions"]["xgrid"]; + const auto config_zgrid = (config["Predictions"]["zgrid"] ? config["Predictions"]["zgrid"] : config_xgrid); + // Grid for x + for (auto const &sgx : config_xgrid) + vsgx.push_back({sgx[0].as(), sgx[1].as(), sgx[2].as()}); + const std::shared_ptr gx(new const apfel::Grid{vsgx}); + // Grid for z + for (auto const &sgz : config_zgrid) + vsgz.push_back({sgz[0].as(), sgz[1].as(), sgz[2].as()}); + const std::shared_ptr gz(new const apfel::Grid{vsgz}); // Initialise GSL random-number generator gsl_rng *rng = gsl_rng_alloc(gsl_rng_ranlxs2); @@ -74,7 +81,7 @@ int main(int argc, char *argv[]) cuts.push_back(NangaParbat::CutFactory::GetInstance(*DH, c["name"].as(), c["min"].as(), c["max"].as())); // Predictions - NangaParbat::ConvolutionTable *PH = new MontBlanc::PredictionsHandler{config["Predictions"], *DH, g, cuts}; + NangaParbat::ConvolutionTable *PH = new MontBlanc::PredictionsHandler{config["Predictions"], *DH, gx, gz, cuts}; // Push back block DSVect.push_back(std::make_pair(DH, PH)); @@ -88,7 +95,7 @@ int main(int argc, char *argv[]) for (int irep = 1; irep < ffset.get_entry_as("NumMembers"); irep++) { // Initialiase chi2 object LHAPDF Parameterisation - NangaParbat::ChiSquare *chi2 = new MontBlanc::AnalyticChiSquare{DSVect, new MontBlanc::LHAPDFparameterisation("LHAPDFSet", g, irep)}; + NangaParbat::ChiSquare *chi2 = new MontBlanc::AnalyticChiSquare{DSVect, new MontBlanc::LHAPDFparameterisation("LHAPDFSet", gz, irep)}; // Compute weight const int np = chi2->GetDataPointNumber(); From b5f5d9cbce33845a2a8c11c12d258db0bf83e379 Mon Sep 17 00:00:00 2001 From: achiefa Date: Mon, 10 Feb 2025 16:01:47 +0000 Subject: [PATCH 02/14] WIP - implementing SIDIS xsec --- src/predictions/predictionshandler.cc | 128 +++++++++++++++++++++----- 1 file changed, 104 insertions(+), 24 deletions(-) diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index 87bad9db2..2cf361b39 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -15,6 +15,8 @@ #error "TABLE_DIR is not defined!" #endif //TABLE_DIR +#define y pow(Q / Vs, 2) / x + namespace MontBlanc { //_________________________________________________________________________ @@ -221,13 +223,19 @@ namespace MontBlanc // Tabulate total inclusive cross sections in Q const apfel::TabulateObject TabIncXSecQ{IncXSecQ, 100, 1, 10, 3, _Thresholds}; - // LO + // -- LO const apfel::DoubleOperator OT0ns{YAML::LoadFile(std::string(TABLE_DIR) + "/DoubleIdentity.yaml"), *_gx, *_gz, apfel::DoubleIdentity{}}; - // NLO + // -- NLO + // Transverse const apfel::DoubleOperator OT1ns{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2Q.yaml"), *_gx, *_gz, apfel::C1TQ2Q{}}; const apfel::DoubleOperator OT1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2G.yaml"), *_gx, *_gz, apfel::C1TQ2G{}}; const apfel::DoubleOperator OT1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TG2Q.yaml"), *_gx, *_gz, apfel::C1TG2Q{}}; - // NNLO + // Longitudinal + const apfel::DoubleOperator OL1ns{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2Q.yaml"), *_gx, *_gz, apfel::C1LQ2Q{}}; + const apfel::DoubleOperator OL1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2G.yaml"), *_gx, *_gz, apfel::C1LQ2G{}}; + const apfel::DoubleOperator OL1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LG2Q.yaml"), *_gx, *_gz, apfel::C1LG2Q{}}; + // -- NNLO + // Transverse const apfel::DoubleOperator OT2ns_nf3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{3}}; const apfel::DoubleOperator OT2ns_nf4{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{4}}; const apfel::DoubleOperator OT2ns_nf5{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{5}}; @@ -239,10 +247,23 @@ namespace MontBlanc const apfel::DoubleOperator OT2qpq2{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP2.yaml"), *_gx, *_gz, apfel::C2TQ2QP2{}}; const apfel::DoubleOperator OT2qpq3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP3.yaml"), *_gx, *_gz, apfel::C2TQ2QP3{}}; const apfel::DoubleOperator OT2ps{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QPS.yaml"), *_gx, *_gz, apfel::C2TQ2QPS{}}; + // Longitudinal + const apfel::DoubleOperator OL2ns_nf3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{3}}; + const apfel::DoubleOperator OL2ns_nf4{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{4}}; + const apfel::DoubleOperator OL2ns_nf5{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{5}}; + const apfel::DoubleOperator OL2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2G.yaml"), *_gx, *_gz, apfel::C2LQ2G{}}; + const apfel::DoubleOperator OL2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2Q.yaml"), *_gx, *_gz, apfel::C2LG2Q{}}; + const apfel::DoubleOperator OL2gg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2G.yaml"), *_gx, *_gz, apfel::C2LG2G{}}; + const apfel::DoubleOperator OL2qbq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QB.yaml"), *_gx, *_gz, apfel::C2LQ2QB{}}; + const apfel::DoubleOperator OL2qpq1{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QP1.yaml"), *_gx, *_gz, apfel::C2LQ2QP1{}}; + const apfel::DoubleOperator OL2qpq2{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QP2.yaml"), *_gx, *_gz, apfel::C2LQ2QP2{}}; + const apfel::DoubleOperator OL2qpq3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QP3.yaml"), *_gx, *_gz, apfel::C2LQ2QP3{}}; + const apfel::DoubleOperator OL2ps{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QPS.yaml"), *_gx, *_gz, apfel::C2LQ2QPS{}}; const apfel::DoubleOperator OZero{*_gx, *_gz, apfel::DoubleNull{}}; - apfel::DoubleOperator Ons = OT0ns; + // Transverse + apfel::DoubleOperator OTns = OT0ns; apfel::DoubleOperator OTgq = OZero; apfel::DoubleOperator OTqg = OZero; apfel::DoubleOperator OTgg = OZero; @@ -252,6 +273,17 @@ namespace MontBlanc apfel::DoubleOperator OTqpq2 = OZero; apfel::DoubleOperator OTqpq3 = OZero; + // Longitudinal + apfel::DoubleOperator OLns = OZero; + apfel::DoubleOperator OLgq = OZero; + apfel::DoubleOperator OLqg = OZero; + apfel::DoubleOperator OLgg = OZero; + apfel::DoubleOperator OLps = OZero; + apfel::DoubleOperator OLqbq = OZero; + apfel::DoubleOperator OLqpq1 = OZero; + apfel::DoubleOperator OLqpq2 = OZero; + apfel::DoubleOperator OLqpq3 = OZero; + // Rotation Matrix from evolution to physical basis std::map> Tqi; for (int q = -6; q <= 6; q++) @@ -277,30 +309,45 @@ namespace MontBlanc const std::vector Bq = fBq(Q); // Overall Q-dependent factor of the cross section - const double fact = 4 * M_PI * pow(Alphaem(Q), 2) / pow(Q, 3); + const double fact = 8 * M_PI * pow(Alphaem(Q), 2) / pow(Q, 3); - // Functions that multiply F2 and FL - const std::function func2 = [=] (double const& x) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; - const std::function funcL = [=] (double const& x) -> double{ return - fact * pow(Q / Vs, 4) / pow(x, 3); }; + // Functions that multiply FT and FL + const std::function funcT = [=] (double const& x) -> double{ return fact * 0.5 * ( 1 + pow(1 - y, 2) ) / x; }; + const std::function funcL = [=] (double const& x) -> double{ return fact * ( 1 - y ) / x; }; // Define operators that multiply all channels if (PerturbativeOrder >= 1) { - Ons += as * OT1ns; + // Transverse + OTns += as * OT1ns; OTgq += as * OT1gq; OTqg += as * OT1qg; + // Longitudinal + OLns += as * OL1ns; + OLgq += as * OL1gq; + OLqg += as * OL1qg; } if (PerturbativeOrder >= 2) { if (nf == 3) - Ons += as2 * OT2ns_nf3; + { + OTns += as2 * OT2ns_nf3; + OLns += as2 * OL2ns_nf3; + } else if (nf == 4) - Ons += as2 * OT2ns_nf4; + { + OTns += as2 * OT2ns_nf4; + OLns += as2 * OL2ns_nf4; + } else if (nf == 5) - Ons += as2 * OT2ns_nf5; + { + OTns += as2 * OT2ns_nf5; + OLns += as2 * OL2ns_nf5; + } else throw std::runtime_error("[PredictionsHandler::PredictionsHandler]: Unknown number of active flavours."); + // Transverse OTgq += as2 * OT2gq; OTqg += as2 * OT2qg; OTgg += as2 * OT2gg; @@ -309,8 +356,41 @@ namespace MontBlanc OTqpq1 += as2 * OT2qpq1; OTqpq2 += as2 * OT2qpq2; OTqpq3 += as2 * OT2qpq3; + + // Longitudinal + OLgq += as2 * OL2gq; + OLqg += as2 * OL2qg; + OLgg += as2 * OL2gg; + OLps += as2 * OL2ps; + OLqbq += as2 * OL2qbq; + OLqpq1 += as2 * OL2qpq1; + OLqpq2 += as2 * OL2qpq2; + OLqpq3 += as2 * OL2qpq3; } + // TODO: Check why the following does not work + // Multiply operators by the pre-factors + // Transverse + //OTns *= funcT; + //OTgq *= funcT; + //OTqg *= funcT; + //OTgg *= funcT; + //OTps *= funcT; + //OTqbq *= funcT; + //OTqpq1 *= funcT; + //OTqpq2 *= funcT; + //OTqpq3 *= funcT; + // Longitudinal + //OLns *= funcL; + //OLgq *= funcL; + //OLqg *= funcL; + //OLgg *= funcL; + //OLps *= funcL; + //OLqbq *= funcL; + //OLqpq1 *= funcL; + //OLqpq2 *= funcL; + //OLqpq3 *= funcL; + // Produce a map of distributions out of the PDFs in the physical basis // This line envelops the PDFs into a map of apfel::Distribution objects. These // objects will then be convoluted. @@ -325,34 +405,34 @@ namespace MontBlanc apfel::Distribution eqfq = Bq[0] * ( DistPDFs.at(1) + DistPDFs.at(-1) ); for (int q = 2; q <= 5; q++) eqfq += Bq[q-1] * ( DistPDFs.at(q) + DistPDFs.at(-q) ); - const apfel::DistributionOperator C_gq_DO = OTgq.MultiplyFirstBy(eqfq); + apfel::DistributionOperator C_gq_DO = OTgq.MultiplyFirstBy(eqfq * funcT) + OLgq.MultiplyFirstBy(eqfq * funcL); // gg channel (NNLO) // ----------------- const double etot = std::accumulate(Bq.begin(), Bq.begin() + nf, 0.); const apfel::Distribution eqfgTgi = etot * DistPDFs.at(21); // gluon - const apfel::DistributionOperator C_gg_DO = OTgg.MultiplyFirstBy(eqfgTgi); + const apfel::DistributionOperator C_gg_DO = OTgg.MultiplyFirstBy(eqfgTgi * funcT) + OLgg.MultiplyFirstBy(eqfgTgi * funcL); // Sum the gg and gq channels and insert into Ki map - KiMap.insert({0, C_gq_DO + C_gg_DO}); // DO = Double Operator + KiMap.insert({0, C_gq_DO + C_gg_DO}); // Construct the other channels for (int i = 1; i < 13; i++) { - // Distribution for qq channel NS (LO + NLO + NNLO) + // Distribution for qq channel NS (LO / NLO / NNLO) // ------------------------------------------------ apfel::Distribution eqfqTqi = Bq[0] * ( DistPDFs.at(1) * Tqi.at(1).at(i) + DistPDFs.at(-1) * Tqi.at(-1).at(i) ); for (int q = 2; q <= 5; q++) eqfqTqi += Bq[q-1] * ( DistPDFs.at(q) * Tqi.at(q).at(i) + DistPDFs.at(-q) * Tqi.at(-q).at(i) ); - const apfel::DistributionOperator C_qq_NS = Ons.MultiplyFirstBy(eqfqTqi); + const apfel::DistributionOperator C_qq_NS = OTns.MultiplyFirstBy(eqfqTqi * funcT) + OLns.MultiplyFirstBy(eqfqTqi * funcL); - // Distribution for qg channel (NLO + NNLO) + // Distribution for qg channel (NLO / NNLO) // ---------------------------------------- double eqTqi = 0; for (int q = 1; q <= 5; q++) eqTqi += Bq[q-1] * ( Tqi.at(q).at(i) + Tqi.at(-q).at(i) ); const apfel::Distribution fgeqTqi = eqTqi * DistPDFs.at(21); - const apfel::DistributionOperator C_qg = OTqg.MultiplyFirstBy(fgeqTqi); + const apfel::DistributionOperator C_qg = OTqg.MultiplyFirstBy(fgeqTqi * funcT) + OLqg.MultiplyFirstBy(fgeqTqi * funcL); // Distribution PS (NNLO) // ---------------------- @@ -360,14 +440,14 @@ namespace MontBlanc for (int q = 2; q <= 5; q++) etot_fqTqi += DistPDFs.at(q) * Tqi.at(q).at(i) + DistPDFs.at(-q) * Tqi.at(-q).at(i); etot_fqTqi *= etot; - const apfel::DistributionOperator C_qq_ps = OTps.MultiplyFirstBy(etot_fqTqi); + const apfel::DistributionOperator C_qq_ps = OTps.MultiplyFirstBy(etot_fqTqi * funcT) + OLps.MultiplyFirstBy(etot_fqTqi * funcL); // Distribution for \bar{q}q channel (NNLO) // ---------------------------------------- apfel::Distribution eqfmqTqi = Bq[0] * ( DistPDFs.at(-1) * Tqi.at(1).at(i) + DistPDFs.at(1) * Tqi.at(-1).at(i) ); for (int q = 2; q <= 5; q++) eqfmqTqi += Bq[q-1] * ( DistPDFs.at(-q) * Tqi.at(q).at(i) + DistPDFs.at(q) * Tqi.at(-q).at(i) ); - apfel::DistributionOperator C_qbq = OTqbq.MultiplyFirstBy(eqfmqTqi); + apfel::DistributionOperator C_qbq = OTqbq.MultiplyFirstBy(eqfmqTqi * funcT) + OLqbq.MultiplyFirstBy(eqfmqTqi * funcL); // Distribution (1), (2) and (3) for q'q (NNLO) // -------------------------------------------- @@ -389,9 +469,9 @@ namespace MontBlanc } } } - apfel::DistributionOperator C_qpq_1 = OTqpq1.MultiplyFirstBy(eq1fq1Tq2i); - apfel::DistributionOperator C_qpq_2 = OTqpq2.MultiplyFirstBy(eq1fq2Tq1i); - apfel::DistributionOperator C_qpq_3 = OTqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); + apfel::DistributionOperator C_qpq_1 = OTqpq1.MultiplyFirstBy(eq1fq1Tq2i * funcT) + OLqpq1.MultiplyFirstBy(eq1fq1Tq2i * funcL);; + apfel::DistributionOperator C_qpq_2 = OTqpq2.MultiplyFirstBy(eq1fq2Tq1i * funcT) + OLqpq2.MultiplyFirstBy(eq1fq2Tq1i * funcL); + apfel::DistributionOperator C_qpq_3 = OTqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i * funcT) + OLqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i * funcL); KiMap.insert({i, C_qq_NS + C_qg + C_qq_ps + C_qbq + C_qpq_1 + C_qpq_2 + C_qpq_3}); } From 54c361e8e85fe0ff49808a487d6fc9139e13753c Mon Sep 17 00:00:00 2001 From: achiefa Date: Mon, 10 Feb 2025 16:03:03 +0000 Subject: [PATCH 03/14] Comparison NLO new VS NLO legacy --- run/CMakeLists.txt | 3 + run/PredsComparison.cc | 156 +++++++++++++++++++++++++++++++++++++++++ 2 files changed, 159 insertions(+) create mode 100644 run/PredsComparison.cc diff --git a/run/CMakeLists.txt b/run/CMakeLists.txt index 41204f1f5..a3d8b226d 100644 --- a/run/CMakeLists.txt +++ b/run/CMakeLists.txt @@ -13,3 +13,6 @@ target_link_libraries(LHAPDFGrid MontBlanc) add_executable(Predictions Predictions.cc) target_link_libraries(Predictions MontBlanc) + +add_executable(PredsComparison PredsComparison.cc) +target_link_libraries(PredsComparison MontBlanc) diff --git a/run/PredsComparison.cc b/run/PredsComparison.cc new file mode 100644 index 000000000..9bb40c50b --- /dev/null +++ b/run/PredsComparison.cc @@ -0,0 +1,156 @@ +// +// Authors: Rabah Abdul Khalek: rabah.khalek@gmail.com +// Valerio Bertone: valerio.bertone@cern.ch +// Emanuele R. Nocera: emanuele.nocera@ed.ac.uk +// Hakim Khoudli: hakim.khoudli@polytechnique.org +// + +#include "MontBlanc/predictionshandler.h" +#include "MontBlanc/predictionshandler_approx.h" +#include "MontBlanc/AnalyticChiSquare.h" +#include "MontBlanc/LHAPDFparameterisation.h" + +#include +#include +#include +#include + +#include + +std::string GetCurrentWorkingDir() +{ + char buff[FILENAME_MAX]; + getcwd(buff, FILENAME_MAX); + return buff; +} + +int main(int argc, char *argv[]) +{ + if ((argc - optind) < 1) + { + std::cerr << "Usage: " << argv[0] << " [ (default: LHAPDFSet)]" << std::endl; + exit(-1); + } + + // Path to result folder + const std::string ResultFolder = argv[optind]; + + // Input information + const std::string InputCardPath = ResultFolder + "/config.yaml"; + const std::string datafolder = ResultFolder + "/data/"; + std::string LHAPDFSet = "LHAPDFSet"; + if (argc - optind >= 2) + LHAPDFSet = argv[optind + 1]; + + // Timer + apfel::Timer t; + + // Input card + YAML::Node config = YAML::LoadFile(InputCardPath); + + // Set silent mode for APFEL++ + apfel::SetVerbosityLevel(0); + + // Include new search path in LHAPDF + if (ResultFolder[0]=='/') + LHAPDF::pathsPrepend(ResultFolder + "/"); + else + LHAPDF::pathsPrepend(GetCurrentWorkingDir() + "/" + ResultFolder + "/"); + + // Set PDF set member to central set + config["Predictions"]["pdfset"]["member"] = 0; + +// APFEL++ x-space and z-space grids + std::vector vsgx, vsgz; + const auto config_xgrid = config["Predictions"]["xgrid"]; + const auto config_zgrid = (config["Predictions"]["zgrid"] ? config["Predictions"]["zgrid"] : config_xgrid); + // Grid for x + for (auto const &sgx : config_xgrid) + vsgx.push_back({sgx[0].as(), sgx[1].as(), sgx[2].as()}); + const std::shared_ptr gx(new const apfel::Grid{vsgx}); + // Grid for z + for (auto const &sgz : config_zgrid) + vsgz.push_back({sgz[0].as(), sgz[1].as(), sgz[2].as()}); + const std::shared_ptr gz(new const apfel::Grid{vsgz}); + + // Run over the data set and gather pairs of DatHandler and + // PredictionHandler pairs. Do not impose cuts to compute + // predictions for all available points. + std::cout << "Computing tables..." << std::endl; + std::vector> DSVect_legacy; + std::vector> DSVect_new; + for (auto const& ds : config["Data"]["sets"]) + { + std::cout << "#Experiment = " << ds["name"].as() << std::endl; + // Dataset + NangaParbat::DataHandler *DH = new NangaParbat::DataHandler{ds["name"].as(), YAML::LoadFile(datafolder + ds["file"].as())}; + + // Add block to the chi2 + DSVect_legacy.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandlerApprox{config["Predictions"], *DH, gz})); + DSVect_new.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{config["Predictions"], *DH, gx, gz})); + } + + // Run over the experiments, compute central values and standard + // deviations (of the shifted predictions) over the replicas. + std::cout << "\nComputing predictions..." << std::endl; + for (int iexp = 0; iexp < (int) DSVect_legacy.size(); iexp++) + { + std::cout << "#Experiment = " << DSVect_legacy[iexp].first->GetName() << std::endl; + + // Get experimental central values and uncorrelated ucertainties + const std::vector mvs = DSVect_legacy[iexp].first->GetMeanValues(); + const std::vector unc = DSVect_legacy[iexp].first->GetUncorrelatedUnc(); + + // Get binning + const std::vector bins = DSVect_legacy[iexp].first->GetBinning(); + + // Initialise averages + std::vector av_legacy(bins.size(), 0); + std::vector av_new(bins.size(), 0); + std::vector avor_legacy(bins.size(), 0); + std::vector avor_new(bins.size(), 0); + + // Get LHAPDF set + const std::vector sets = LHAPDF::mkPDFs(LHAPDFSet); + + // Run over replicas + const int nrep = sets.size() - 1; + for (int irep = 1; irep <= nrep; irep++) + { + // Construct chi2 object with the irep-th replica + MontBlanc::AnalyticChiSquare chi2_legacy{DSVect_legacy, new MontBlanc::LHAPDFparameterisation{sets, gz, 0}}; + MontBlanc::AnalyticChiSquare chi2_new{DSVect_new, new MontBlanc::LHAPDFparameterisation{sets, gz, 0}}; + const std::vector prds_legacy = DSVect_legacy[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); + const std::vector prds_new = DSVect_new[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); + + //const std::pair, double> shifts_legacy = chi2_legacy.GetSystematicShifts(iexp); + //const std::pair, double> shifts_new = chi2_new.GetSystematicShifts(iexp); + for (int i = 0; i < (int) bins.size(); i++) + { + //av_legacy[i] += ( prds_legacy[i] + shifts_legacy.first[i] ) / nrep; + avor_legacy[i] += prds_legacy[i] / nrep; + //av_new[i] += ( prds_new[i] + shifts_new.first[i] ) / nrep; + avor_new[i] += prds_new[i] / nrep; + } + } + + std::cout << std::setw(15) << std::left << "Experimental\n value" + << std::setw(20) << std::right << "Legacy" + << std::setw(20) << std::right << "new" + << std::setw(30) << std::right << "(legacy - new) / legacy" + << std::endl; + std::cout << std::setw(40) << std::setfill('-') << "" << std::setfill(' ') << std::endl; + + for (int i = 0; i < (int) bins.size(); i++) + { + std::cout << std::setw(20) << std::left << mvs[i] + << std::setw(10) << std::right << avor_legacy[i] + << std::setw(20) << std::right << avor_new[i] + << std::setw(20) << std::right << (avor_legacy[i] - avor_new[i]) / avor_legacy[i] + << std::endl; + } + } + + t.stop(true); + return 0; +} From 0e7646ebc98d583453f2e1f4d7c8614d855e7345 Mon Sep 17 00:00:00 2001 From: achiefa Date: Tue, 11 Feb 2025 18:44:57 +0000 Subject: [PATCH 04/14] Working on predictionshandler --- src/predictions/predictionshandler.cc | 81 ++++++++------------ src/predictions/predictionshandler_approx.cc | 49 ++++++------ 2 files changed, 59 insertions(+), 71 deletions(-) diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index 2cf361b39..55f1abf03 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -228,19 +228,19 @@ namespace MontBlanc // -- NLO // Transverse const apfel::DoubleOperator OT1ns{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2Q.yaml"), *_gx, *_gz, apfel::C1TQ2Q{}}; - const apfel::DoubleOperator OT1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2G.yaml"), *_gx, *_gz, apfel::C1TQ2G{}}; - const apfel::DoubleOperator OT1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TG2Q.yaml"), *_gx, *_gz, apfel::C1TG2Q{}}; + const apfel::DoubleOperator OT1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2G.yaml"), *_gx, *_gz, apfel::C1TQ2G{}}; + const apfel::DoubleOperator OT1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TG2Q.yaml"), *_gx, *_gz, apfel::C1TG2Q{}}; // Longitudinal const apfel::DoubleOperator OL1ns{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2Q.yaml"), *_gx, *_gz, apfel::C1LQ2Q{}}; - const apfel::DoubleOperator OL1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2G.yaml"), *_gx, *_gz, apfel::C1LQ2G{}}; - const apfel::DoubleOperator OL1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LG2Q.yaml"), *_gx, *_gz, apfel::C1LG2Q{}}; + const apfel::DoubleOperator OL1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2G.yaml"), *_gx, *_gz, apfel::C1LQ2G{}}; + const apfel::DoubleOperator OL1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LG2Q.yaml"), *_gx, *_gz, apfel::C1LG2Q{}}; // -- NNLO // Transverse const apfel::DoubleOperator OT2ns_nf3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{3}}; const apfel::DoubleOperator OT2ns_nf4{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{4}}; const apfel::DoubleOperator OT2ns_nf5{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{5}}; - const apfel::DoubleOperator OT2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2G.yaml"), *_gx, *_gz, apfel::C2TQ2G{}}; - const apfel::DoubleOperator OT2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2Q.yaml"), *_gx, *_gz, apfel::C2TG2Q{}}; + const apfel::DoubleOperator OT2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2G.yaml"), *_gx, *_gz, apfel::C2TQ2G{}}; + const apfel::DoubleOperator OT2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2Q.yaml"), *_gx, *_gz, apfel::C2TG2Q{}}; const apfel::DoubleOperator OT2gg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2G.yaml"), *_gx, *_gz, apfel::C2TG2G{}}; const apfel::DoubleOperator OT2qbq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QB.yaml"), *_gx, *_gz, apfel::C2TQ2QB{}}; const apfel::DoubleOperator OT2qpq1{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP1.yaml"), *_gx, *_gz, apfel::C2TQ2QP1{}}; @@ -251,8 +251,8 @@ namespace MontBlanc const apfel::DoubleOperator OL2ns_nf3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{3}}; const apfel::DoubleOperator OL2ns_nf4{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{4}}; const apfel::DoubleOperator OL2ns_nf5{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{5}}; - const apfel::DoubleOperator OL2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2G.yaml"), *_gx, *_gz, apfel::C2LQ2G{}}; - const apfel::DoubleOperator OL2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2Q.yaml"), *_gx, *_gz, apfel::C2LG2Q{}}; + const apfel::DoubleOperator OL2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2G.yaml"), *_gx, *_gz, apfel::C2LQ2G{}}; + const apfel::DoubleOperator OL2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2Q.yaml"), *_gx, *_gz, apfel::C2LG2Q{}}; const apfel::DoubleOperator OL2gg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2G.yaml"), *_gx, *_gz, apfel::C2LG2G{}}; const apfel::DoubleOperator OL2qbq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QB.yaml"), *_gx, *_gz, apfel::C2LQ2QB{}}; const apfel::DoubleOperator OL2qpq1{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QP1.yaml"), *_gx, *_gz, apfel::C2LQ2QP1{}}; @@ -312,8 +312,8 @@ namespace MontBlanc const double fact = 8 * M_PI * pow(Alphaem(Q), 2) / pow(Q, 3); // Functions that multiply FT and FL - const std::function funcT = [=] (double const& x) -> double{ return fact * 0.5 * ( 1 + pow(1 - y, 2) ) / x; }; - const std::function funcL = [=] (double const& x) -> double{ return fact * ( 1 - y ) / x; }; + const std::function funcT = [=] (double const& x, double const& z) -> double{ return fact * 0.5 * ( 1 + pow(1 - y, 2) ) / x; }; + const std::function funcL = [=] (double const& x, double const& z) -> double{ return fact * ( 1 - y ) / x; }; // Define operators that multiply all channels if (PerturbativeOrder >= 1) @@ -368,29 +368,6 @@ namespace MontBlanc OLqpq3 += as2 * OL2qpq3; } - // TODO: Check why the following does not work - // Multiply operators by the pre-factors - // Transverse - //OTns *= funcT; - //OTgq *= funcT; - //OTqg *= funcT; - //OTgg *= funcT; - //OTps *= funcT; - //OTqbq *= funcT; - //OTqpq1 *= funcT; - //OTqpq2 *= funcT; - //OTqpq3 *= funcT; - // Longitudinal - //OLns *= funcL; - //OLgq *= funcL; - //OLqg *= funcL; - //OLgg *= funcL; - //OLps *= funcL; - //OLqbq *= funcL; - //OLqpq1 *= funcL; - //OLqpq2 *= funcL; - //OLqpq3 *= funcL; - // Produce a map of distributions out of the PDFs in the physical basis // This line envelops the PDFs into a map of apfel::Distribution objects. These // objects will then be convoluted. @@ -400,21 +377,23 @@ namespace MontBlanc // a set std::map KiMap{}; - // gq channel (NLO + NNLO) + // gq channel (NLO / NNLO) // ----------------------- apfel::Distribution eqfq = Bq[0] * ( DistPDFs.at(1) + DistPDFs.at(-1) ); for (int q = 2; q <= 5; q++) eqfq += Bq[q-1] * ( DistPDFs.at(q) + DistPDFs.at(-q) ); - apfel::DistributionOperator C_gq_DO = OTgq.MultiplyFirstBy(eqfq * funcT) + OLgq.MultiplyFirstBy(eqfq * funcL); + apfel::DistributionOperator CT_gq_DO = OTgq.MultiplyFirstBy(eqfq); + apfel::DistributionOperator CL_gq_DO =OLgq.MultiplyFirstBy(eqfq); // gg channel (NNLO) // ----------------- const double etot = std::accumulate(Bq.begin(), Bq.begin() + nf, 0.); - const apfel::Distribution eqfgTgi = etot * DistPDFs.at(21); // gluon - const apfel::DistributionOperator C_gg_DO = OTgg.MultiplyFirstBy(eqfgTgi * funcT) + OLgg.MultiplyFirstBy(eqfgTgi * funcL); + const apfel::Distribution eqfgTgi = etot * DistPDFs.at(21); + apfel::DistributionOperator CT_gg_DO = OTgg.MultiplyFirstBy(eqfgTgi); + apfel::DistributionOperator CL_gg_DO = OLgg.MultiplyFirstBy(eqfgTgi); // Sum the gg and gq channels and insert into Ki map - KiMap.insert({0, C_gq_DO + C_gg_DO}); + KiMap.insert({0, (CT_gg_DO + CT_gq_DO) + (CL_gg_DO + CL_gq_DO)}); // Construct the other channels for (int i = 1; i < 13; i++) @@ -424,15 +403,17 @@ namespace MontBlanc apfel::Distribution eqfqTqi = Bq[0] * ( DistPDFs.at(1) * Tqi.at(1).at(i) + DistPDFs.at(-1) * Tqi.at(-1).at(i) ); for (int q = 2; q <= 5; q++) eqfqTqi += Bq[q-1] * ( DistPDFs.at(q) * Tqi.at(q).at(i) + DistPDFs.at(-q) * Tqi.at(-q).at(i) ); - const apfel::DistributionOperator C_qq_NS = OTns.MultiplyFirstBy(eqfqTqi * funcT) + OLns.MultiplyFirstBy(eqfqTqi * funcL); + apfel::DistributionOperator CT_qq_NS = OTns.MultiplyFirstBy(eqfqTqi); + apfel::DistributionOperator CL_qq_NS = OLns.MultiplyFirstBy(eqfqTqi); // Distribution for qg channel (NLO / NNLO) // ---------------------------------------- double eqTqi = 0; for (int q = 1; q <= 5; q++) eqTqi += Bq[q-1] * ( Tqi.at(q).at(i) + Tqi.at(-q).at(i) ); - const apfel::Distribution fgeqTqi = eqTqi * DistPDFs.at(21); - const apfel::DistributionOperator C_qg = OTqg.MultiplyFirstBy(fgeqTqi * funcT) + OLqg.MultiplyFirstBy(fgeqTqi * funcL); + apfel::Distribution fgeqTqi = eqTqi * DistPDFs.at(21); + apfel::DistributionOperator CT_qg = OTqg.MultiplyFirstBy(fgeqTqi); + apfel::DistributionOperator CL_qg = OLqg.MultiplyFirstBy(fgeqTqi); // Distribution PS (NNLO) // ---------------------- @@ -440,14 +421,16 @@ namespace MontBlanc for (int q = 2; q <= 5; q++) etot_fqTqi += DistPDFs.at(q) * Tqi.at(q).at(i) + DistPDFs.at(-q) * Tqi.at(-q).at(i); etot_fqTqi *= etot; - const apfel::DistributionOperator C_qq_ps = OTps.MultiplyFirstBy(etot_fqTqi * funcT) + OLps.MultiplyFirstBy(etot_fqTqi * funcL); + apfel::DistributionOperator CL_qq_ps = OTps.MultiplyFirstBy(etot_fqTqi); + apfel::DistributionOperator CT_qq_ps = OLps.MultiplyFirstBy(etot_fqTqi); // Distribution for \bar{q}q channel (NNLO) // ---------------------------------------- apfel::Distribution eqfmqTqi = Bq[0] * ( DistPDFs.at(-1) * Tqi.at(1).at(i) + DistPDFs.at(1) * Tqi.at(-1).at(i) ); for (int q = 2; q <= 5; q++) eqfmqTqi += Bq[q-1] * ( DistPDFs.at(-q) * Tqi.at(q).at(i) + DistPDFs.at(q) * Tqi.at(-q).at(i) ); - apfel::DistributionOperator C_qbq = OTqbq.MultiplyFirstBy(eqfmqTqi * funcT) + OLqbq.MultiplyFirstBy(eqfmqTqi * funcL); + apfel::DistributionOperator CT_qbq = OTqbq.MultiplyFirstBy(eqfmqTqi); + apfel::DistributionOperator CL_qbq = OLqbq.MultiplyFirstBy(eqfmqTqi); // Distribution (1), (2) and (3) for q'q (NNLO) // -------------------------------------------- @@ -469,11 +452,13 @@ namespace MontBlanc } } } - apfel::DistributionOperator C_qpq_1 = OTqpq1.MultiplyFirstBy(eq1fq1Tq2i * funcT) + OLqpq1.MultiplyFirstBy(eq1fq1Tq2i * funcL);; - apfel::DistributionOperator C_qpq_2 = OTqpq2.MultiplyFirstBy(eq1fq2Tq1i * funcT) + OLqpq2.MultiplyFirstBy(eq1fq2Tq1i * funcL); - apfel::DistributionOperator C_qpq_3 = OTqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i * funcT) + OLqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i * funcL); - KiMap.insert({i, C_qq_NS + C_qg + C_qq_ps + C_qbq + C_qpq_1 + C_qpq_2 + C_qpq_3}); - } + apfel::DistributionOperator CT_qpq_1 = OTqpq1.MultiplyFirstBy(eq1fq1Tq2i); + apfel::DistributionOperator CL_qpq_1 = OLqpq1.MultiplyFirstBy(eq1fq1Tq2i); + apfel::DistributionOperator CT_qpq_2 = OTqpq2.MultiplyFirstBy(eq1fq2Tq1i); + apfel::DistributionOperator CL_qpq_2 = OLqpq2.MultiplyFirstBy(eq1fq2Tq1i); + apfel::DistributionOperator CT_qpq_3 = OTqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); + apfel::DistributionOperator CL_qpq_3 = OLqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); + KiMap.insert({i, funcT * (CT_qq_NS + CT_qg + CT_qq_ps + CT_qbq + CT_qpq_1 + CT_qpq_2 + CT_qpq_3) + funcL * (CL_qq_NS + CL_qg + CL_qq_ps + CL_qbq + CL_qpq_1 + CL_qpq_2 + CL_qpq_3)});} return apfel::Set{KiMap}; }; diff --git a/src/predictions/predictionshandler_approx.cc b/src/predictions/predictionshandler_approx.cc index 9aa4631d6..2a0ddcd16 100644 --- a/src/predictions/predictionshandler_approx.cc +++ b/src/predictions/predictionshandler_approx.cc @@ -103,9 +103,6 @@ namespace MontBlanc // Get evolution-operator objects std::map Gammaij = TabGammaij->Evaluate(Vs).GetObjects(); - if (PerturbativeOrder == 2) - throw std::runtime_error("[PredictionsHandlerApprox::PredictionsHandlerApprox]: Exact NNLO is not supported for SIA (?)."); - // Get F2 objects at the scale Vs const apfel::StructureFunctionObjects F2Obj = apfel::InitializeF2NCObjectsZMT(*_g, _Thresholds)(Vs, apfel::ElectroWeakCharges(Vs, true)); @@ -267,11 +264,14 @@ namespace MontBlanc eqfq += Bq[q-1] * ( DistPDFs.at(q) + DistPDFs.at(-q) ); // NLO gq for F2 and FL - apfel::DoubleObject D0t; - for (auto const& t: so.C21gq.GetTerms()) - D0t.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfq ), t.object2}); - for (auto const& t: so.CL1gq.GetTerms()) - D0t.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfq ), t.object2}); + apfel::DoubleObject D0t{{{1.0, apfel::Distribution {*_g, [] (double const&) -> double { return 0.0; }}, apfel::Operator {*_g, apfel::Null{}}}}}; + if (PerturbativeOrder >= 1) + { + for (auto const& t: so.C21gq.GetTerms()) + D0t.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfq ), t.object2}); + for (auto const& t: so.CL1gq.GetTerms()) + D0t.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfq ), t.object2}); + } KiMap.insert({0, D0t}); // Now run over the quark evolution basis @@ -289,26 +289,29 @@ namespace MontBlanc Dit.AddTerm({t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); // NLO qq for F2 and FL - for (auto const& t: so.C21qq.GetTerms()) - Dit.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); - for (auto const& t: so.CL1qq.GetTerms()) - Dit.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfqTqi ), t.object2}); + if (PerturbativeOrder >= 1) + { + for (auto const& t: so.C21qq.GetTerms()) + Dit.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); + for (auto const& t: so.CL1qq.GetTerms()) + Dit.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfqTqi ), t.object2}); - // NLO qg for F2 and FL - double eqTqi = 0; - for (int q = 1; q <= 5; q++) - eqTqi += Bq[q-1] * ( Tqi.at(q).at(i) + Tqi.at(-q).at(i) ); + // NLO qg for F2 and FL + double eqTqi = 0; + for (int q = 1; q <= 5; q++) + eqTqi += Bq[q-1] * ( Tqi.at(q).at(i) + Tqi.at(-q).at(i) ); - if (eqTqi != 0) - { - for (auto const& t: so.C21qg.GetTerms()) - Dit.AddTerm({as * eqTqi * t.coefficient, func2 * ( t.object1 * DistPDFs.at(21) ), t.object2}); - for (auto const& t: so.CL1qg.GetTerms()) - Dit.AddTerm({as * eqTqi * t.coefficient, funcL * ( t.object1 * DistPDFs.at(21) ), t.object2}); + if (eqTqi != 0) + { + for (auto const& t: so.C21qg.GetTerms()) + Dit.AddTerm({as * eqTqi * t.coefficient, func2 * ( t.object1 * DistPDFs.at(21) ), t.object2}); + for (auto const& t: so.CL1qg.GetTerms()) + Dit.AddTerm({as * eqTqi * t.coefficient, funcL * ( t.object1 * DistPDFs.at(21) ), t.object2}); + } } // NNLO qq for F2 - if (PerturbativeOrder > 1) + if (PerturbativeOrder >= 2) for (auto const& t: so.C22qq.at(nf).GetTerms()) Dit.AddTerm({as2 * t.coefficient, func2 * ( t.object1 * eqfqTqi ), t.object2}); From 352b1462bc4f3dcbf374b88d5e94dfdbfafe35ff Mon Sep 17 00:00:00 2001 From: achiefa Date: Wed, 12 Feb 2025 17:08:25 +0000 Subject: [PATCH 05/14] Mult. factor for K_0 --- src/predictions/predictionshandler.cc | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index 55f1abf03..ae774a299 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -15,8 +15,6 @@ #error "TABLE_DIR is not defined!" #endif //TABLE_DIR -#define y pow(Q / Vs, 2) / x - namespace MontBlanc { //_________________________________________________________________________ @@ -309,11 +307,11 @@ namespace MontBlanc const std::vector Bq = fBq(Q); // Overall Q-dependent factor of the cross section - const double fact = 8 * M_PI * pow(Alphaem(Q), 2) / pow(Q, 3); + const double fact = ( 4 * M_PI * pow(Alphaem(Q), 2) / pow(Q, 3) ); // Functions that multiply FT and FL - const std::function funcT = [=] (double const& x, double const& z) -> double{ return fact * 0.5 * ( 1 + pow(1 - y, 2) ) / x; }; - const std::function funcL = [=] (double const& x, double const& z) -> double{ return fact * ( 1 - y ) / x; }; + const std::function funcL = [=] (double const& x, double const& z) -> double{ return fact * 2 * ( 1 - pow(Q / Vs, 2) / x ) / x; }; + const std::function funcT = [=] (double const& x, double const& z) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; // Define operators that multiply all channels if (PerturbativeOrder >= 1) @@ -393,7 +391,7 @@ namespace MontBlanc apfel::DistributionOperator CL_gg_DO = OLgg.MultiplyFirstBy(eqfgTgi); // Sum the gg and gq channels and insert into Ki map - KiMap.insert({0, (CT_gg_DO + CT_gq_DO) + (CL_gg_DO + CL_gq_DO)}); + KiMap.insert({0, funcT * (CT_gg_DO + CT_gq_DO) + funcL * (CL_gg_DO + CL_gq_DO)}); // Construct the other channels for (int i = 1; i < 13; i++) From 45d9f7b59be02e1970f4230b59df1244c18c5e37 Mon Sep 17 00:00:00 2001 From: achiefa Date: Thu, 13 Feb 2025 11:27:25 +0000 Subject: [PATCH 06/14] Computing predictions only with replica 0 --- run/PredsComparison.cc | 39 +++++++++++++-------------------------- 1 file changed, 13 insertions(+), 26 deletions(-) diff --git a/run/PredsComparison.cc b/run/PredsComparison.cc index 9bb40c50b..9f847ed76 100644 --- a/run/PredsComparison.cc +++ b/run/PredsComparison.cc @@ -90,6 +90,10 @@ int main(int argc, char *argv[]) DSVect_new.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{config["Predictions"], *DH, gx, gz})); } + // Get LHAPDF set + std::vector sets = LHAPDF::mkPDFs(LHAPDFSet); + std::shared_ptr FFset = std::make_shared(sets[0], gz); + // Run over the experiments, compute central values and standard // deviations (of the shifted predictions) over the replicas. std::cout << "\nComputing predictions..." << std::endl; @@ -110,43 +114,26 @@ int main(int argc, char *argv[]) std::vector avor_legacy(bins.size(), 0); std::vector avor_new(bins.size(), 0); - // Get LHAPDF set - const std::vector sets = LHAPDF::mkPDFs(LHAPDFSet); - - // Run over replicas - const int nrep = sets.size() - 1; - for (int irep = 1; irep <= nrep; irep++) - { - // Construct chi2 object with the irep-th replica - MontBlanc::AnalyticChiSquare chi2_legacy{DSVect_legacy, new MontBlanc::LHAPDFparameterisation{sets, gz, 0}}; - MontBlanc::AnalyticChiSquare chi2_new{DSVect_new, new MontBlanc::LHAPDFparameterisation{sets, gz, 0}}; - const std::vector prds_legacy = DSVect_legacy[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); - const std::vector prds_new = DSVect_new[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); - - //const std::pair, double> shifts_legacy = chi2_legacy.GetSystematicShifts(iexp); - //const std::pair, double> shifts_new = chi2_new.GetSystematicShifts(iexp); - for (int i = 0; i < (int) bins.size(); i++) - { - //av_legacy[i] += ( prds_legacy[i] + shifts_legacy.first[i] ) / nrep; - avor_legacy[i] += prds_legacy[i] / nrep; - //av_new[i] += ( prds_new[i] + shifts_new.first[i] ) / nrep; - avor_new[i] += prds_new[i] / nrep; - } - } + DSVect_legacy[iexp].second->SetInputFFs(FFset->DistributionFunction()); + DSVect_new[iexp].second->SetInputFFs(FFset->DistributionFunction()); + const std::vector prds_legacy = DSVect_legacy[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); + const std::vector prds_new = DSVect_new[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); std::cout << std::setw(15) << std::left << "Experimental\n value" << std::setw(20) << std::right << "Legacy" << std::setw(20) << std::right << "new" << std::setw(30) << std::right << "(legacy - new) / legacy" + << std::setw(30) << std::right << "legacy / new" << std::endl; std::cout << std::setw(40) << std::setfill('-') << "" << std::setfill(' ') << std::endl; for (int i = 0; i < (int) bins.size(); i++) { std::cout << std::setw(20) << std::left << mvs[i] - << std::setw(10) << std::right << avor_legacy[i] - << std::setw(20) << std::right << avor_new[i] - << std::setw(20) << std::right << (avor_legacy[i] - avor_new[i]) / avor_legacy[i] + << std::setw(10) << std::right << prds_legacy[i] + << std::setw(20) << std::right << prds_new[i] + << std::setw(20) << std::right << (prds_legacy[i] - prds_new[i]) / prds_legacy[i] + << std::setw(20) << std::right << prds_legacy[i] / prds_new[i] << std::endl; } } From 2ba43f083531c72fd2f353840ed040261f7d9d5f Mon Sep 17 00:00:00 2001 From: achiefa Date: Thu, 13 Feb 2025 16:07:35 +0000 Subject: [PATCH 07/14] Correct bug + in predictionshandler --- src/predictions/predictionshandler.cc | 60 +++++++++++++-------------- 1 file changed, 30 insertions(+), 30 deletions(-) diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index ae774a299..1dc83fbf3 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -226,19 +226,19 @@ namespace MontBlanc // -- NLO // Transverse const apfel::DoubleOperator OT1ns{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2Q.yaml"), *_gx, *_gz, apfel::C1TQ2Q{}}; - const apfel::DoubleOperator OT1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2G.yaml"), *_gx, *_gz, apfel::C1TQ2G{}}; - const apfel::DoubleOperator OT1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TG2Q.yaml"), *_gx, *_gz, apfel::C1TG2Q{}}; + const apfel::DoubleOperator OT1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2G.yaml"), *_gx, *_gz, apfel::C1TQ2G{}}; + const apfel::DoubleOperator OT1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TG2Q.yaml"), *_gx, *_gz, apfel::C1TG2Q{}}; // Longitudinal const apfel::DoubleOperator OL1ns{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2Q.yaml"), *_gx, *_gz, apfel::C1LQ2Q{}}; - const apfel::DoubleOperator OL1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2G.yaml"), *_gx, *_gz, apfel::C1LQ2G{}}; - const apfel::DoubleOperator OL1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LG2Q.yaml"), *_gx, *_gz, apfel::C1LG2Q{}}; + const apfel::DoubleOperator OL1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2G.yaml"), *_gx, *_gz, apfel::C1LQ2G{}}; + const apfel::DoubleOperator OL1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LG2Q.yaml"), *_gx, *_gz, apfel::C1LG2Q{}}; // -- NNLO // Transverse const apfel::DoubleOperator OT2ns_nf3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{3}}; const apfel::DoubleOperator OT2ns_nf4{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{4}}; const apfel::DoubleOperator OT2ns_nf5{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{5}}; - const apfel::DoubleOperator OT2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2G.yaml"), *_gx, *_gz, apfel::C2TQ2G{}}; - const apfel::DoubleOperator OT2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2Q.yaml"), *_gx, *_gz, apfel::C2TG2Q{}}; + const apfel::DoubleOperator OT2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2G.yaml"), *_gx, *_gz, apfel::C2TQ2G{}}; + const apfel::DoubleOperator OT2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2Q.yaml"), *_gx, *_gz, apfel::C2TG2Q{}}; const apfel::DoubleOperator OT2gg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2G.yaml"), *_gx, *_gz, apfel::C2TG2G{}}; const apfel::DoubleOperator OT2qbq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QB.yaml"), *_gx, *_gz, apfel::C2TQ2QB{}}; const apfel::DoubleOperator OT2qpq1{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP1.yaml"), *_gx, *_gz, apfel::C2TQ2QP1{}}; @@ -249,8 +249,8 @@ namespace MontBlanc const apfel::DoubleOperator OL2ns_nf3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{3}}; const apfel::DoubleOperator OL2ns_nf4{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{4}}; const apfel::DoubleOperator OL2ns_nf5{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{5}}; - const apfel::DoubleOperator OL2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2G.yaml"), *_gx, *_gz, apfel::C2LQ2G{}}; - const apfel::DoubleOperator OL2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2Q.yaml"), *_gx, *_gz, apfel::C2LG2Q{}}; + const apfel::DoubleOperator OL2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2G.yaml"), *_gx, *_gz, apfel::C2LQ2G{}}; + const apfel::DoubleOperator OL2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2Q.yaml"), *_gx, *_gz, apfel::C2LG2Q{}}; const apfel::DoubleOperator OL2gg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2G.yaml"), *_gx, *_gz, apfel::C2LG2G{}}; const apfel::DoubleOperator OL2qbq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QB.yaml"), *_gx, *_gz, apfel::C2LQ2QB{}}; const apfel::DoubleOperator OL2qpq1{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QP1.yaml"), *_gx, *_gz, apfel::C2LQ2QP1{}}; @@ -260,28 +260,6 @@ namespace MontBlanc const apfel::DoubleOperator OZero{*_gx, *_gz, apfel::DoubleNull{}}; - // Transverse - apfel::DoubleOperator OTns = OT0ns; - apfel::DoubleOperator OTgq = OZero; - apfel::DoubleOperator OTqg = OZero; - apfel::DoubleOperator OTgg = OZero; - apfel::DoubleOperator OTps = OZero; - apfel::DoubleOperator OTqbq = OZero; - apfel::DoubleOperator OTqpq1 = OZero; - apfel::DoubleOperator OTqpq2 = OZero; - apfel::DoubleOperator OTqpq3 = OZero; - - // Longitudinal - apfel::DoubleOperator OLns = OZero; - apfel::DoubleOperator OLgq = OZero; - apfel::DoubleOperator OLqg = OZero; - apfel::DoubleOperator OLgg = OZero; - apfel::DoubleOperator OLps = OZero; - apfel::DoubleOperator OLqbq = OZero; - apfel::DoubleOperator OLqpq1 = OZero; - apfel::DoubleOperator OLqpq2 = OZero; - apfel::DoubleOperator OLqpq3 = OZero; - // Rotation Matrix from evolution to physical basis std::map> Tqi; for (int q = -6; q <= 6; q++) @@ -313,6 +291,28 @@ namespace MontBlanc const std::function funcL = [=] (double const& x, double const& z) -> double{ return fact * 2 * ( 1 - pow(Q / Vs, 2) / x ) / x; }; const std::function funcT = [=] (double const& x, double const& z) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; + // Transverse + apfel::DoubleOperator OTns = OT0ns; + apfel::DoubleOperator OTgq = OZero; + apfel::DoubleOperator OTqg = OZero; + apfel::DoubleOperator OTgg = OZero; + apfel::DoubleOperator OTps = OZero; + apfel::DoubleOperator OTqbq = OZero; + apfel::DoubleOperator OTqpq1 = OZero; + apfel::DoubleOperator OTqpq2 = OZero; + apfel::DoubleOperator OTqpq3 = OZero; + + // Longitudinal + apfel::DoubleOperator OLns = OZero; + apfel::DoubleOperator OLgq = OZero; + apfel::DoubleOperator OLqg = OZero; + apfel::DoubleOperator OLgg = OZero; + apfel::DoubleOperator OLps = OZero; + apfel::DoubleOperator OLqbq = OZero; + apfel::DoubleOperator OLqpq1 = OZero; + apfel::DoubleOperator OLqpq2 = OZero; + apfel::DoubleOperator OLqpq3 = OZero; + // Define operators that multiply all channels if (PerturbativeOrder >= 1) { From 7c19173a6a534a9f4647130b17644c4c24a6c6d9 Mon Sep 17 00:00:00 2001 From: achiefa Date: Thu, 13 Feb 2025 16:31:58 +0000 Subject: [PATCH 08/14] Formatting output + kinematics --- run/PredsComparison.cc | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/run/PredsComparison.cc b/run/PredsComparison.cc index 9f847ed76..62479ae61 100644 --- a/run/PredsComparison.cc +++ b/run/PredsComparison.cc @@ -120,18 +120,21 @@ int main(int argc, char *argv[]) const std::vector prds_new = DSVect_new[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); std::cout << std::setw(15) << std::left << "Experimental\n value" - << std::setw(20) << std::right << "Legacy" - << std::setw(20) << std::right << "new" + << std::setw(20) << std::right << "(Q,x,z)" + << std::setw(28) << std::right << "Legacy" + << std::setw(15) << std::right << "new" << std::setw(30) << std::right << "(legacy - new) / legacy" - << std::setw(30) << std::right << "legacy / new" + << std::setw(15) << std::right << "legacy / new" << std::endl; - std::cout << std::setw(40) << std::setfill('-') << "" << std::setfill(' ') << std::endl; + std::cout << std::setw(110) << std::setfill('-') << "" << std::setfill(' ') << std::endl; + auto kin_bins = DSVect_legacy[iexp].first->GetBinning(); for (int i = 0; i < (int) bins.size(); i++) { - std::cout << std::setw(20) << std::left << mvs[i] - << std::setw(10) << std::right << prds_legacy[i] - << std::setw(20) << std::right << prds_new[i] + std::cout << std::setw(10) << std::left << mvs[i] + << std::setw(10) << std::right << kin_bins[i].Qav << " | " << kin_bins[i].xav << " | " << kin_bins[i].zav + << std::setw(15) << std::right << prds_legacy[i] + << std::setw(15) << std::right << prds_new[i] << std::setw(20) << std::right << (prds_legacy[i] - prds_new[i]) / prds_legacy[i] << std::setw(20) << std::right << prds_legacy[i] / prds_new[i] << std::endl; From a49187c43917e8c8e9b920f7e6601191bb1421b2 Mon Sep 17 00:00:00 2001 From: Valerio Bertone Date: Thu, 13 Feb 2025 18:52:19 +0100 Subject: [PATCH 09/14] Uploading code for table generation + other small adjusments --- CMakeLists.txt | 98 +++--- run/CMakeLists.txt | 26 +- run/GenerateTables.cc | 196 ++++++++++++ run/NNGrid.cc | 431 --------------------------- src/CMakeLists.txt | 14 - src/chisquare/CMakeLists.txt | 6 - src/chisquare/IterationCallBack.cc | 2 +- src/parameterisations/CMakeLists.txt | 6 - tables/DC1G2Q.yaml | 11 - tables/DC1Q2G.yaml | 11 - tables/DC1Q2Q.yaml | 11 - tables/DC2G2G.yaml | 11 - tables/DC2G2Q_nf3.yaml | 11 - tables/DC2G2Q_nf4.yaml | 11 - tables/DC2G2Q_nf5.yaml | 11 - tables/DC2Q2G_nf3.yaml | 11 - tables/DC2Q2G_nf4.yaml | 11 - tables/DC2Q2G_nf5.yaml | 11 - tables/DC2Q2QB.yaml | 11 - tables/DC2Q2QNS_nf3.yaml | 11 - tables/DC2Q2QNS_nf4.yaml | 11 - tables/DC2Q2QNS_nf5.yaml | 11 - tables/DC2Q2QP1.yaml | 11 - tables/DC2Q2QP2.yaml | 11 - tables/DC2Q2QP3.yaml | 11 - tables/DC2Q2QPS.yaml | 11 - tests/CMakeLists.txt | 17 +- 27 files changed, 271 insertions(+), 723 deletions(-) create mode 100644 run/GenerateTables.cc delete mode 100644 run/NNGrid.cc delete mode 100644 src/CMakeLists.txt delete mode 100644 src/chisquare/CMakeLists.txt delete mode 100644 src/parameterisations/CMakeLists.txt delete mode 100644 tables/DC1G2Q.yaml delete mode 100644 tables/DC1Q2G.yaml delete mode 100644 tables/DC1Q2Q.yaml delete mode 100644 tables/DC2G2G.yaml delete mode 100644 tables/DC2G2Q_nf3.yaml delete mode 100644 tables/DC2G2Q_nf4.yaml delete mode 100644 tables/DC2G2Q_nf5.yaml delete mode 100644 tables/DC2Q2G_nf3.yaml delete mode 100644 tables/DC2Q2G_nf4.yaml delete mode 100644 tables/DC2Q2G_nf5.yaml delete mode 100644 tables/DC2Q2QB.yaml delete mode 100644 tables/DC2Q2QNS_nf3.yaml delete mode 100644 tables/DC2Q2QNS_nf4.yaml delete mode 100644 tables/DC2Q2QNS_nf5.yaml delete mode 100644 tables/DC2Q2QP1.yaml delete mode 100644 tables/DC2Q2QP2.yaml delete mode 100644 tables/DC2Q2QP3.yaml delete mode 100644 tables/DC2Q2QPS.yaml diff --git a/CMakeLists.txt b/CMakeLists.txt index 6b1286ba3..af9ad1248 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -1,40 +1,46 @@ -cmake_minimum_required (VERSION 3.5) -# Set a default build type if none was specified -if(NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES) - message(STATUS "Setting build type to 'Release' as none was specified.") - set(CMAKE_BUILD_TYPE Release CACHE STRING "Choose the type of build." FORCE) - # Set the possible values of build type for cmake-gui - set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" - "MinSizeRel" "RelWithDebInfo") -endif() +# ============================ +# BASIC DEFINITIONS +# ============================ -if (NOT DEFINED CMAKE_MACOSX_RPATH) - set(CMAKE_MACOSX_RPATH 0) -endif() +# Define code version +set(MontBlanc_VERSION 4.8.0) + +# Define minimum version of cmake +cmake_minimum_required(VERSION 3.10) -# the project name -project(MontBlanc) +# Define project name and its language +project(MontBlanc CXX) -# activating some global properties for the project -set(MontBlanc_VERSION 1.0.0) +# Define c++ standard and issue all the warning demanded by this standard +set(CMAKE_BUILD_TYPE Release) set(CMAKE_CXX_STANDARD 17) set(CMAKE_CXX_STANDARD_REQUIRED ON) -set(CMAKE_CXX_EXTENSIONS OFF) +set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wextra -fPIC -O3") + +if (NOT DEFINED CMAKE_MACOSX_RPATH) + set(CMAKE_MACOSX_RPATH 0) +endif () -# Set a default path (relative to the source directory) for APFEL++ tables -set(DEFAULT_TABLE_DIR "${CMAKE_SOURCE_DIR}/tables") +if (CMAKE_VERSION VERSION_GREATER_EQUAL "3.27.0") + cmake_policy(SET CMP0148 OLD) +endif () -# Allow the user to override the default using -DCMAKE_TABLE_DIR= -set(TABLE_DIR ${DEFAULT_TABLE_DIR} CACHE PATH "Path to the directory containing the table files") +# ============================ +# MAIN +# ============================ -# Pass the path as a preprocessor definition -add_compile_definitions(TABLE_DIR="${TABLE_DIR}") +# Define include directory +include_directories(${PROJECT_SOURCE_DIR}/inc) -# export version to file -configure_file( - "${PROJECT_SOURCE_DIR}/inc/MontBlanc/version.h.in" - "${PROJECT_SOURCE_DIR}/inc/MontBlanc/version.h" -) +# Generate list of source files +file(GLOB_RECURSE source_files src/*) + +# Define target library +set(LIBRARY_OUTPUT_PATH ${PROJECT_BINARY_DIR}/lib) +add_library(MontBlanc SHARED ${source_files}) + +# Define libraries to be linked +target_link_libraries(MontBlanc) find_package(PkgConfig REQUIRED) pkg_search_module(YAML REQUIRED yaml-cpp) @@ -107,20 +113,32 @@ if (NNAD_CONFIG) set(NNAD_CFLAGS ${NNAD_CFLAGS} CACHE STRING INTERNAL) endif(NNAD_CONFIG) -set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}") +target_link_libraries(MontBlanc ${YAML_LDFLAGS} ${EIGEN3_LDFLAGS} ${CERES_LIBRARIES} ${GLOG_LDFLAGS} ${GFLAGS_LDFLAGS} ${APFELXX_LIBRARIES} ${NANGAPARBAT_LIBRARIES} ${LHAPDF_LIBRARIES} ${GSL_LIBRARIES}) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${NNAD_CFLAGS} ${EIGEN3_CFLAGS} ${Ceres_CFLAGS} ${GLOG_CFLAGS} ${GFLAGS_CFLAGS} ${LHAPDF_CXX_FLAGS} ${APFELXX_CXX_FLAGS} ${NANGAPARBAT_CXX_FLAGS} ${GSL_CXX_FLAGS} ${YAML_CFLAGS} -Wall -fPIC -Wunused") -# build target library -add_subdirectory(src) -add_subdirectory(run) +# Enable testing and build test codes add_subdirectory(tests) +add_subdirectory(run) + +# ============================ +# CONFIGURATION +# ============================ + +# Configure version to file +configure_file("${PROJECT_SOURCE_DIR}/inc/MontBlanc/version.h.in" "${PROJECT_SOURCE_DIR}/inc/MontBlanc/version.h") + +# Configure configuration script +set(prefix ${CMAKE_INSTALL_PREFIX}) +set(includedir "${prefix}/include") +set(libdir "${prefix}/lib") +set(cflags "-I${prefix}/include") +set(ldflags "-L${prefix}/lib -lMontBlanc") +configure_file("${PROJECT_SOURCE_DIR}/bin/MontBlanc-config.in" "${PROJECT_BINARY_DIR}/bin/MontBlanc-config") -#option(BUILD_TESTS "Build tests code" ON) -#if(BUILD_TESTS) -# enable_testing() -# add_subdirectory(tests) -#endif(BUILD_TESTS) +# ============================ +# INSTALLATION +# ============================ -install(FILES ${PROJECT_SOURCE_DIR}/bin/MontBlanc-config - DESTINATION bin - PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE GROUP_READ GROUP_EXECUTE WORLD_READ WORLD_EXECUTE) +# Installation of code +install(DIRECTORY inc/MontBlanc DESTINATION include) +install(FILES ${PROJECT_BINARY_DIR}/bin/MontBlanc-config DESTINATION bin PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE GROUP_READ GROUP_EXECUTE WORLD_READ WORLD_EXECUTE) diff --git a/run/CMakeLists.txt b/run/CMakeLists.txt index a3d8b226d..40db8b3c9 100644 --- a/run/CMakeLists.txt +++ b/run/CMakeLists.txt @@ -1,18 +1,8 @@ -# build exacutable -add_executable(ComputeChi2s ComputeChi2s.cc) -target_link_libraries(ComputeChi2s MontBlanc) - -add_executable(Optimize Optimize.cc) -target_link_libraries(Optimize MontBlanc) - -add_executable(NNGrid NNGrid.cc) -target_link_libraries(NNGrid MontBlanc) - -add_executable(LHAPDFGrid LHAPDFGrid.cc) -target_link_libraries(LHAPDFGrid MontBlanc) - -add_executable(Predictions Predictions.cc) -target_link_libraries(Predictions MontBlanc) - -add_executable(PredsComparison PredsComparison.cc) -target_link_libraries(PredsComparison MontBlanc) +# build run +file(GLOB runcodes *.cc ) +foreach(testsource ${runcodes}) + GET_FILENAME_COMPONENT(filename ${testsource} NAME_WE) + add_executable(${filename} ${filename}.cc) + target_link_libraries(${filename} MontBlanc) + add_test(${filename} ${filename}) +endforeach() diff --git a/run/GenerateTables.cc b/run/GenerateTables.cc new file mode 100644 index 000000000..31e8fe40d --- /dev/null +++ b/run/GenerateTables.cc @@ -0,0 +1,196 @@ +// +// APFEL++ 2017 +// +// Author: Valerio Bertone: valerio.bertone@cern.ch +// + +#include +#include +#include +#include + +int main(int argc, char *argv[]) +{ + if (argc < 3) + { + std::cerr << "Usage: " << argv[0] << " " << std::endl; + exit(-1); + } + + // Input card + const std::string card = argv[1]; + + // Destination of tables + const std::string path = (std::string) argv[2] + (std::string) "/"; + + // Read Input Card + YAML::Node config = YAML::LoadFile(card); + + // x-space and z-space grids + std::vector vsgx; + for (auto const &sgx : config["Predictions"]["xgrid"]) + vsgx.push_back({sgx[0].as(), sgx[1].as(), sgx[2].as()}); + const apfel::Grid gx{vsgx}; + + std::vector vsgz; + for (auto const &sgz : config["Predictions"]["zgrid"]) + vsgz.push_back({sgz[0].as(), sgz[1].as(), sgz[2].as()}); + const apfel::Grid gz{vsgz}; + + // Integration accuracy (hardcoded for now) + const double acc = apfel::eps5; + + std::cout << "Computing unpolarised DoubleOperator objects...\n"; + // Identity + apfel::Timer t; + std::cout << "- 1/25\n"; + const apfel::DoubleOperator DoubleIdentity{gx, gz, apfel::DoubleIdentity{}, acc}; + std::cout << "- 2/25\n"; + const apfel::DoubleOperator C1LQ2Q{gx, gz, apfel::C1LQ2Q{}, acc}; + std::cout << "- 3/25\n"; + const apfel::DoubleOperator C1LQ2G{gx, gz, apfel::C1LQ2G{}, acc}; + std::cout << "- 4/25\n"; + const apfel::DoubleOperator C1LG2Q{gx, gz, apfel::C1LG2Q{}, acc}; + std::cout << "- 5/25\n"; + const apfel::DoubleOperator C1TQ2Q{gx, gz, apfel::C1TQ2Q{}, acc}; + std::cout << "- 6/25\n"; + const apfel::DoubleOperator C1TQ2G{gx, gz, apfel::C1TQ2G{}, acc}; + std::cout << "- 7/25\n"; + const apfel::DoubleOperator C1TG2Q{gx, gz, apfel::C1TG2Q{}, acc}; + std::cout << "- 8/25\n"; + const apfel::DoubleOperator C2LQ2G{gx, gz, apfel::C2LQ2G{}, acc}; + std::cout << "- 9/25\n"; + const apfel::DoubleOperator C2LG2G{gx, gz, apfel::C2LG2G{}, acc}; + std::cout << "- 10/25\n"; + const apfel::DoubleOperator C2LG2Q{gx, gz, apfel::C2LG2Q{}, acc}; + std::cout << "- 11/25\n"; + const apfel::DoubleOperator C2LQ2QNS3{gx, gz, apfel::C2LQ2QNS{3}, acc}; + const apfel::DoubleOperator C2LQ2QNS4{gx, gz, apfel::C2LQ2QNS{4}, acc}; + const apfel::DoubleOperator C2LQ2QNS5{gx, gz, apfel::C2LQ2QNS{5}, acc}; + std::cout << "- 12/25\n"; + const apfel::DoubleOperator C2LQ2QPS{gx, gz, apfel::C2LQ2QPS{}, acc}; + std::cout << "- 13/25\n"; + const apfel::DoubleOperator C2LQ2QB{gx, gz, apfel::C2LQ2QB{}, acc}; + std::cout << "- 14/25\n"; + const apfel::DoubleOperator C2LQ2QP1{gx, gz, apfel::C2LQ2QP1{}, acc}; + std::cout << "- 15/25\n"; + const apfel::DoubleOperator C2LQ2QP2{gx, gz, apfel::C2LQ2QP2{}, acc}; + std::cout << "- 16/25\n"; + const apfel::DoubleOperator C2LQ2QP3{gx, gz, apfel::C2LQ2QP3{}, acc}; + std::cout << "- 17/25\n"; + const apfel::DoubleOperator C2TQ2G{gx, gz, apfel::C2TQ2G{}, acc}; + std::cout << "- 18/25\n"; + const apfel::DoubleOperator C2TG2G{gx, gz, apfel::C2TG2G{}, acc}; + std::cout << "- 19/25\n"; + const apfel::DoubleOperator C2TG2Q{gx, gz, apfel::C2TG2Q{}, acc}; + std::cout << "- 20/25\n"; + const apfel::DoubleOperator C2TQ2QNS3{gx, gz, apfel::C2TQ2QNS{3}, acc}; + const apfel::DoubleOperator C2TQ2QNS4{gx, gz, apfel::C2TQ2QNS{4}, acc}; + const apfel::DoubleOperator C2TQ2QNS5{gx, gz, apfel::C2TQ2QNS{5}, acc}; + std::cout << "- 21/25\n"; + const apfel::DoubleOperator C2TQ2QPS{gx, gz, apfel::C2TQ2QPS{}, acc}; + std::cout << "- 22/25\n"; + const apfel::DoubleOperator C2TQ2QB{gx, gz, apfel::C2TQ2QB{}, acc}; + std::cout << "- 23/25\n"; + const apfel::DoubleOperator C2TQ2QP1{gx, gz, apfel::C2TQ2QP1{}, acc}; + std::cout << "- 24/25\n"; + const apfel::DoubleOperator C2TQ2QP2{gx, gz, apfel::C2TQ2QP2{}, acc}; + std::cout << "- 25/25\n"; + const apfel::DoubleOperator C2TQ2QP3{gx, gz, apfel::C2TQ2QP3{}, acc}; + t.stop(); + + // Write to file + std::cout << "Writing DoubleOperator objects to file... "; + std::ofstream fout; + t.start(); + fout.open(path + "DoubleIdentity.yaml"); + fout << DoubleIdentity.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C1LQ2Q.yaml"); + fout << C1LQ2Q.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C1LQ2G.yaml"); + fout << C1LQ2G.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C1LG2Q.yaml"); + fout << C1LG2Q.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C1TQ2Q.yaml"); + fout << C1TQ2Q.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C1TQ2G.yaml"); + fout << C1TQ2G.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C1TG2Q.yaml"); + fout << C1TG2Q.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LQ2G.yaml"); + fout << C2LQ2G.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LG2G.yaml"); + fout << C2LG2G.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LG2Q.yaml"); + fout << C2LG2Q.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LQ2QNS_nf3.yaml"); + fout << C2LQ2QNS3.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LQ2QNS_nf4.yaml"); + fout << C2LQ2QNS4.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LQ2QNS_nf5.yaml"); + fout << C2LQ2QNS5.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LQ2QPS.yaml"); + fout << C2LQ2QPS.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LQ2QB.yaml"); + fout << C2LQ2QB.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LQ2QP1.yaml"); + fout << C2LQ2QP1.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LQ2QP2.yaml"); + fout << C2LQ2QP2.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2LQ2QP3.yaml"); + fout << C2LQ2QP3.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TQ2G.yaml"); + fout << C2TQ2G.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TG2G.yaml"); + fout << C2TG2G.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TG2Q.yaml"); + fout << C2TG2Q.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TQ2QNS_nf3.yaml"); + fout << C2TQ2QNS3.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TQ2QNS_nf4.yaml"); + fout << C2TQ2QNS4.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TQ2QNS_nf5.yaml"); + fout << C2TQ2QNS5.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TQ2QPS.yaml"); + fout << C2TQ2QPS.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TQ2QB.yaml"); + fout << C2TQ2QB.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TQ2QP1.yaml"); + fout << C2TQ2QP1.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TQ2QP2.yaml"); + fout << C2TQ2QP2.EmitDoubleOperator() << std::endl; + fout.close(); + fout.open(path + "C2TQ2QP3.yaml"); + fout << C2TQ2QP3.EmitDoubleOperator() << std::endl; + fout.close(); + t.stop(); + + return 0; +} diff --git a/run/NNGrid.cc b/run/NNGrid.cc deleted file mode 100644 index ba0ffd115..000000000 --- a/run/NNGrid.cc +++ /dev/null @@ -1,431 +0,0 @@ -// -// Authors: Rabah Abdul Khalek: rabah.khalek@gmail.com -// Valerio Bertone: valerio.bertone@cern.ch -// Emanuele R. Nocera: emanuele.nocera@ed.ac.uk -// - -#include -#include -#include -#include - -#include -#include -#include -#include - -typedef std::pair, double> PVD; -typedef std::vector VPVD; -typedef std::vector > VV; - -bool wayToSort(PVD i, PVD j) -{ - return i.second < j.second; //ascending order -} - -int main(int argc, char *argv[]) -{ - if (argc < 2) - { - std::cerr << "Usage: " << argv[0] << " [ (default: PIp, options: PIp, PIm, PIsum)] [ (default: LHAPDFSet)] [ (default: all)]" << std::endl; - exit(-1); - } - - // Path to result folder - const std::string ResultFolder = argv[1]; - - // Name of the set - std::string hadron = "PIp"; - if (argc >= 3) - hadron = argv[2]; - - std::string OutName = "LHAPDFSet"; - if (argc >= 4) - OutName = argv[3]; - - // Read Input Card - YAML::Node config = YAML::LoadFile(ResultFolder + "/config.yaml"); - - // Retrive best-fit paramaters - YAML::Node bestfits = YAML::LoadFile(ResultFolder + "/BestParameters.yaml"); - - VPVD AllPars; - VV BestPars; - - // Load all parameters and pair them with the total chi2 value for sorting - for (auto const &rep : bestfits) - AllPars.push_back(PVD(rep["parameters"].as >(), rep["total chi2"].as())); - - // Sort sets of parameters according to the chi2 - sort(AllPars.begin(), AllPars.end(), wayToSort); - - int Nmembers = 0; - if (argc >= 5) - { - Nmembers = std::stoi(argv[4]); - std::cout << "Nmembers requested = " << Nmembers << std::endl; - } - else - Nmembers = AllPars.size(); - - // Pick the lowest Nmembers of the chi2-sorted replicas - int i = 0; - for (auto const &rep : AllPars) - { - if (i == Nmembers) - break; - - BestPars.push_back(rep.first); - i++; - } - if (i < Nmembers) - { - std::cerr << "Requested more replicas than available." << std::endl; - exit(-1); - } - - // Construct rotation matrix to obtain FFs in the evolution basis - // that is what is fed to APFEL++ to do the evolution. - const std::vector Architecture = config["NNAD"]["architecture"].as>(); - - // Rotation from physical to QCD-evolution basis - std::vector R; - for (int i = 0; i < 13; i++) - for (int j = 0; j < 13; j++) - R.push_back(apfel::RotPhysToQCDEvFull[i][j]); - - // Combine rotation matrix with the flavour map - nnad::Matrix FlavourMapT{Architecture.back(), 13, config["NNAD"]["flavour map"].as>()}; - - // Calculate the (Moore-Penrose) pseudo-inverse of the flavour map - if(config["NNAD"]["combine"]) - { - if(config["NNAD"]["combine"].as()) - FlavourMapT = FlavourMapT.PseudoInverse_LLR(); - else - FlavourMapT.Transpose(); - } - else - FlavourMapT.Transpose(); - nnad::Matrix Rotation = FlavourMapT; //nnad::Matrix {13, 13, R} * FlavourMapT; - - // Whether the output is linear or quadratic - const int OutputFunction = (config["NNAD"]["output function"] ? config["NNAD"]["output function"].as() : 1); - - // Initialise neural network - nnad::FeedForwardNN NN{Architecture, 0, false}; - - // APFEL++ EvolutionSetup object - apfel::EvolutionSetup es{}; - - // Adjust evolution parameters - es.Virtuality = apfel::EvolutionSetup::Virtuality::TIME; - es.Q0 = config["Predictions"]["mu0"].as(); - es.PerturbativeOrder = config["Predictions"]["perturbative order"].as(); - es.QQCDRef = config["Predictions"]["alphas"]["Qref"].as(); - es.AlphaQCDRef = config["Predictions"]["alphas"]["aref"].as(); - es.Thresholds = config["Predictions"]["thresholds"].as>(); - es.Masses = es.Thresholds; - es.Qmin = 1; - es.Qmax = 1000; - es.name = OutName; - es.GridParameters = {{100, 1e-2, 3}, {150, 1e-1, 3}, {100, 6e-1, 3}, {50, 8e-1, 3}}; - es.InSet.clear(); - - // NN Parameterisation. First compute the average. - std::vector(double const&, double const&)>> sets - { - [&] (double const& x, double const&) -> std::map - { - // Initialise map in the QCD evolution basis - std::map EvMap{{0, 0}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}, {6, 0}, {7, 0}, {8, 0}, {9, 0}, {10, 0}, {11, 0}, {12, 0}}; - - // Number of replicas used for the average - const int nr = BestPars.size(); - - // Now run over all replicas and accumulated - for (auto p: BestPars) - { - // Set NN parameters - NN.SetParameters(p); - - // Call NN at x and 1 - const std::vector nn1 = NN.Evaluate({1}); - std::vector nnx = NN.Evaluate({x}); - - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); - - // If _OutputFunction == 2 square the output vector. - if (OutputFunction == 2) - std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); - - // Rotate into the evolution basis - const nnad::Matrix nnv = Rotation * nnad::Matrix {Architecture.back(), 1, nnx}; - - // Fill in map - for (int i = 0; i < 13; i++) - { - if (!hadron.compare("PIm")) - EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0) / nr; - else if (!hadron.compare("PIsum")) - EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0) / nr; - else //PIp - EvMap[i] += nnv.GetElement(i, 0) / nr; - } - } - return EvMap; - } - }; - // Now run over replicas - for (auto p: BestPars) - { - sets.push_back([&,p] (double const& x, double const&) -> std::map - { - // Set NN parameters - NN.SetParameters(p); - - // Call NN at x and 1 - const std::vector nn1 = NN.Evaluate({1}); - std::vector nnx = NN.Evaluate({x}); - - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); - - // If _OutputFunction == 2 square the output vector. - if (OutputFunction == 2) - std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); - - // Rotate into the evolution basis - const nnad::Matrix nnv = Rotation * nnad::Matrix{Architecture.back(), 1, nnx}; - - // Fill in map (ignoring top) - std::map EvMap; - for (int i = 0; i < 13; i++) - { - if (!hadron.compare("PIm")) - EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0); - else if (!hadron.compare("PIsum")) - EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0); - else //PIp - EvMap[i] += nnv.GetElement(i, 0); - } - - return EvMap; - }); - } - - std::vector xgrid= {0.01, 0.0100462, 0.01009262, 0.01013925, 0.01018609, - 0.01023315, 0.01028043, 0.01032793, 0.01037565, 0.01042359, - 0.01047174, 0.01052013, 0.01056873, 0.01061756, 0.01066662, - 0.0107159, 0.01076541, 0.01081514, 0.01086511, 0.01091531, - 0.01096574, 0.01101641, 0.0110673, 0.01111844, 0.01116981, - 0.01122141, 0.01127326, 0.01132534, 0.01137767, 0.01143023, - 0.01148304, 0.0115361, 0.0115894, 0.01164294, 0.01169674, - 0.01175078, 0.01180507, 0.01185961, 0.0119144, 0.01196945, - 0.01202475, 0.01208031, 0.01213612, 0.01219219, 0.01224852, - 0.01230511, 0.01236196, 0.01241908, 0.01247646, 0.0125341, - 0.01259201, 0.01265019, 0.01270863, 0.01276735, 0.01282634, - 0.0128856, 0.01294513, 0.01300494, 0.01306503, 0.01312539, - 0.01318603, 0.01324695, 0.01330816, 0.01336964, 0.01343141, - 0.01349347, 0.01355581, 0.01361844, 0.01368136, 0.01374457, - 0.01380807, 0.01387187, 0.01393596, 0.01400035, 0.01406503, - 0.01413002, 0.0141953, 0.01426088, 0.01432677, 0.01439296, - 0.01445946, 0.01452627, 0.01459338, 0.01466081, 0.01472854, - 0.01479659, 0.01486495, 0.01493363, 0.01500263, 0.01507194, - 0.01514158, 0.01521154, 0.01528182, 0.01535242, 0.01542335, - 0.01549461, 0.0155662, 0.01563812, 0.01571037, 0.01578295, - 0.01585587, 0.01592913, 0.01600273, 0.01607666, 0.01615094, - 0.01622556, 0.01630053, 0.01637584, 0.0164515, 0.01652751, - 0.01660387, 0.01668058, 0.01675765, 0.01683507, 0.01691285, - 0.01699099, 0.01706949, 0.01714836, 0.01722759, 0.01730718, - 0.01738714, 0.01746747, 0.01754818, 0.01762925, 0.0177107, - 0.01779253, 0.01787474, 0.01795732, 0.01804029, 0.01812364, - 0.01820737, 0.01829149, 0.018376, 0.0184609, 0.0185462, - 0.01863188, 0.01871797, 0.01880445, 0.01889133, 0.01897861, - 0.01906629, 0.01915438, 0.01924288, 0.01933179, 0.0194211, - 0.01951083, 0.01960098, 0.01969154, 0.01978251, 0.01987391, - 0.01996573, 0.02005798, 0.02015065, 0.02024375, 0.02033728, - 0.02043124, 0.02052564, 0.02062047, 0.02071574, 0.02081145, - 0.02090761, 0.0210042, 0.02110125, 0.02119874, 0.02129668, - 0.02139508, 0.02149392, 0.02159323, 0.021693, 0.02179322, - 0.02189391, 0.02199506, 0.02209669, 0.02219878, 0.02230134, - 0.02240437, 0.02250789, 0.02261188, 0.02271635, 0.0228213, - 0.02292674, 0.02303267, 0.02313908, 0.02324599, 0.02335339, - 0.02346129, 0.02356968, 0.02367858, 0.02378798, 0.02389788, - 0.0240083, 0.02411922, 0.02423066, 0.02434261, 0.02445507, - 0.02456806, 0.02468157, 0.0247956, 0.02491016, 0.02502525, - 0.02514087, 0.02525703, 0.02537372, 0.02549095, 0.02560873, - 0.02572704, 0.02584591, 0.02596532, 0.02608529, 0.0262058, - 0.02632688, 0.02644852, 0.02657071, 0.02669347, 0.0268168, - 0.0269407, 0.02706517, 0.02719022, 0.02731584, 0.02744205, - 0.02756884, 0.02769621, 0.02782417, 0.02795272, 0.02808187, - 0.02821161, 0.02834196, 0.0284729, 0.02860445, 0.02873661, - 0.02886938, 0.02900276, 0.02913676, 0.02927138, 0.02940662, - 0.02954248, 0.02967897, 0.02981609, 0.02995385, 0.03009224, - 0.03023127, 0.03037095, 0.03051127, 0.03065224, 0.03079386, - 0.03093613, 0.03107906, 0.03122265, 0.03136691, 0.03151183, - 0.03165742, 0.03180368, 0.03195062, 0.03209824, 0.03224654, - 0.03239552, 0.0325452, 0.03269556, 0.03284662, 0.03299838, - 0.03315084, 0.033304, 0.03345787, 0.03361245, 0.03376775, - 0.03392376, 0.0340805, 0.03423795, 0.03439614, 0.03455506, - 0.03471471, 0.0348751, 0.03503623, 0.0351981, 0.03536072, - 0.0355241, 0.03568822, 0.03585311, 0.03601876, 0.03618517, - 0.03635235, 0.03652031, 0.03668904, 0.03685855, 0.03702884, - 0.03719992, 0.03737179, 0.03754446, 0.03771792, 0.03789219, - 0.03806725, 0.03824313, 0.03841982, 0.03859733, 0.03877566, - 0.03895481, 0.03913479, 0.0393156, 0.03949724, 0.03967973, - 0.03986305, 0.04004723, 0.04023225, 0.04041814, 0.04060488, - 0.04079248, 0.04098095, 0.04117029, 0.0413605, 0.04155159, - 0.04174357, 0.04193643, 0.04213019, 0.04232484, 0.04252039, - 0.04271684, 0.0429142, 0.04311247, 0.04331166, 0.04351177, - 0.0437128, 0.04391476, 0.04411765, 0.04432149, 0.04452626, - 0.04473198, 0.04493865, 0.04514627, 0.04535486, 0.04556441, - 0.04577492, 0.04598641, 0.04619888, 0.04641233, 0.04662676, - 0.04684218, 0.0470586, 0.04727602, 0.04749445, 0.04771388, - 0.04793433, 0.04815579, 0.04837828, 0.0486018, 0.04882635, - 0.04905194, 0.04927857, 0.04950624, 0.04973497, 0.04996476, - 0.0501956, 0.05042752, 0.0506605, 0.05089456, 0.0511297, - 0.05136593, 0.05160325, 0.05184167, 0.05208119, 0.05232181, - 0.05256355, 0.0528064, 0.05305038, 0.05329548, 0.05354172, - 0.05378909, 0.05403761, 0.05428727, 0.05453809, 0.05479006, - 0.0550432, 0.05529751, 0.055553, 0.05580966, 0.05606752, - 0.05632656, 0.0565868, 0.05684824, 0.05711089, 0.05737475, - 0.05763983, 0.05790614, 0.05817368, 0.05844245, 0.05871247, - 0.05898373, 0.05925625, 0.05953002, 0.05980506, 0.06008137, - 0.06035896, 0.06063783, 0.06091799, 0.06119944, 0.06148219, - 0.06176625, 0.06205162, 0.06233831, 0.06262633, 0.06291567, - 0.06320636, 0.06349838, 0.06379176, 0.06408649, 0.06438258, - 0.06468004, 0.06497887, 0.06527909, 0.06558069, 0.06588368, - 0.06618808, 0.06649388, 0.0668011, 0.06710973, 0.06741979, - 0.06773128, 0.06804421, 0.06835859, 0.06867442, 0.06899171, - 0.06931046, 0.06963069, 0.0699524, 0.07027559, 0.07060028, - 0.07092646, 0.07125416, 0.07158337, 0.07191409, 0.07224635, - 0.07258014, 0.07291548, 0.07325236, 0.0735908, 0.0739308, - 0.07427238, 0.07461553, 0.07496027, 0.0753066, 0.07565453, - 0.07600407, 0.07635522, 0.076708, 0.0770624, 0.07741845, - 0.07777613, 0.07813547, 0.07849647, 0.07885914, 0.07922349, - 0.07958951, 0.07995723, 0.08032665, 0.08069778, 0.08107061, - 0.08144518, 0.08182147, 0.0821995, 0.08257928, 0.08296081, - 0.0833441, 0.08372917, 0.08411601, 0.08450464, 0.08489507, - 0.0852873, 0.08568135, 0.08607721, 0.0864749, 0.08687443, - 0.08727581, 0.08767904, 0.08808414, 0.0884911, 0.08889995, - 0.08931068, 0.08972331, 0.09013785, 0.09055431, 0.09097268, - 0.091393, 0.09181525, 0.09223945, 0.09266562, 0.09309375, - 0.09352386, 0.09395596, 0.09439005, 0.09482615, 0.09526427, - 0.09570441, 0.09614658, 0.09659079, 0.09703706, 0.09748539, - 0.09793579, 0.09838827, 0.09884285, 0.09929952, 0.0997583, - 0.1002192, 0.10068224, 0.10114741, 0.10161473, 0.10208421, - 0.10255586, 0.10302968, 0.1035057, 0.10398392, 0.10446434, - 0.10494699, 0.10543186, 0.10591898, 0.10640834, 0.10689997, - 0.10739387, 0.10789005, 0.10838852, 0.10888929, 0.10939238, - 0.1098978, 0.11040555, 0.11091564, 0.11142809, 0.11194291, - 0.11246011, 0.1129797, 0.11350168, 0.11402608, 0.1145529, - 0.11508216, 0.11561386, 0.11614802, 0.11668465, 0.11722375, - 0.11776535, 0.11830945, 0.11885606, 0.1194052, 0.11995687, - 0.12051109, 0.12106788, 0.12162723, 0.12218918, 0.12275371, - 0.12332086, 0.12389062, 0.12446302, 0.12503806, 0.12561576, - 0.12619613, 0.12677918, 0.12736493, 0.12795338, 0.12854455, - 0.12913845, 0.12973509, 0.13033449, 0.13093666, 0.13154161, - 0.13214936, 0.13275992, 0.13337329, 0.1339895, 0.13460856, - 0.13523048, 0.13585527, 0.13648294, 0.13711352, 0.13774701, - 0.13838343, 0.13902279, 0.1396651, 0.14031038, 0.14095864, - 0.14160989, 0.14226416, 0.14292144, 0.14358177, 0.14424514, - 0.14491158, 0.1455811, 0.14625372, 0.14692944, 0.14760828, - 0.14829026, 0.14897538, 0.14966368, 0.15035515, 0.15104982, - 0.1517477, 0.1524488, 0.15315315, 0.15386074, 0.15457161, - 0.15528576, 0.15600321, 0.15672397, 0.15744807, 0.15817551, - 0.15890631, 0.15964049, 0.16037806, 0.16111903, 0.16186343, - 0.16261127, 0.16336257, 0.16411733, 0.16487559, 0.16563734, - 0.16640262, 0.16717143, 0.1679438, 0.16871973, 0.16949924, - 0.17028236, 0.1710691, 0.17185947, 0.1726535, 0.17345119, - 0.17425256, 0.17505764, 0.17586644, 0.17667898, 0.17749527, - 0.17831533, 0.17913918, 0.17996684, 0.18079832, 0.18163364, - 0.18247283, 0.18331589, 0.18416284, 0.18501371, 0.18586851, - 0.18672725, 0.18758997, 0.18845667, 0.18932737, 0.1902021, - 0.19108087, 0.1919637, 0.19285061, 0.19374162, 0.19463674, - 0.195536, 0.19643941, 0.197347, 0.19825878, 0.19917477, - 0.200095, 0.20101948, 0.20194822, 0.20288126, 0.20381861, - 0.20476029, 0.20570633, 0.20665673, 0.20761152, 0.20857073, - 0.20953436, 0.21050245, 0.21147501, 0.21245207, 0.21343364, - 0.21441974, 0.2154104, 0.21640564, 0.21740547, 0.21840993, - 0.21941902, 0.22043278, 0.22145122, 0.22247437, 0.22350224, - 0.22453486, 0.22557226, 0.22661444, 0.22766145, 0.22871328, - 0.22976998, 0.23083156, 0.23189805, 0.23296946, 0.23404583, - 0.23512716, 0.23621349, 0.23730485, 0.23840124, 0.2395027, - 0.24060925, 0.24172091, 0.2428377, 0.24395966, 0.2450868, - 0.24621915, 0.24735673, 0.24849956, 0.24964768, 0.2508011, - 0.25195984, 0.25312395, 0.25429343, 0.25546831, 0.25664862, - 0.25783439, 0.25902563, 0.26022238, 0.26142466, 0.26263249, - 0.2638459, 0.26506492, 0.26628957, 0.26751988, 0.26875587, - 0.26999757, 0.27124501, 0.27249822, 0.27375721, 0.27502202, - 0.27629267, 0.2775692, 0.27885162, 0.28013997, 0.28143427, - 0.28273455, 0.28404084, 0.28535316, 0.28667154, 0.28799602, - 0.28932662, 0.29066336, 0.29200628, 0.2933554, 0.29471076, - 0.29607238, 0.29744029, 0.29881452, 0.3001951, 0.30158206, - 0.30297543, 0.30437523, 0.3057815, 0.30719427, 0.30861357, - 0.31003942, 0.31147186, 0.31291092, 0.31435663, 0.31580902, - 0.31726811, 0.31873395, 0.32020656, 0.32168598, 0.32317223, - 0.32466535, 0.32616536, 0.32767231, 0.32918622, 0.33070712, - 0.33223505, 0.33377004, 0.33531212, 0.33686132, 0.33841769, - 0.33998124, 0.34155202, 0.34313005, 0.34471538, 0.34630803, - 0.34790804, 0.34951544, 0.35113027, 0.35275256, 0.35438234, - 0.35601965, 0.35766453, 0.35931701, 0.36097712, 0.36264491, - 0.36432039, 0.36600362, 0.36769463, 0.36939345, 0.37110012, - 0.37281467, 0.37453714, 0.37626758, 0.378006, 0.37975246, - 0.38150699, 0.38326963, 0.38504041, 0.38681937, 0.38860654, - 0.39040198, 0.39220571, 0.39401778, 0.39583821, 0.39766706, - 0.39950436, 0.40135014, 0.40320446, 0.40506734, 0.40693883, - 0.40881896, 0.41070778, 0.41260533, 0.41451165, 0.41642677, - 0.41835074, 0.4202836, 0.42222539, 0.42417615, 0.42613592, - 0.42810475, 0.43008268, 0.43206974, 0.43406599, 0.43607145, - 0.43808619, 0.44011023, 0.44214362, 0.44418641, 0.44623863, - 0.44830034, 0.45037157, 0.45245238, 0.45454279, 0.45664287, - 0.45875264, 0.46087217, 0.46300148, 0.46514064, 0.46728968, - 0.46944864, 0.47161758, 0.47379655, 0.47598558, 0.47818472, - 0.48039403, 0.48261354, 0.4848433, 0.48708337, 0.48933379, - 0.4915946, 0.49386586, 0.49614762, 0.49843991, 0.5007428, - 0.50305633, 0.50538054, 0.5077155, 0.51006124, 0.51241782, - 0.51478529, 0.51716369, 0.51955309, 0.52195352, 0.52436505, - 0.52678771, 0.52922157, 0.53166667, 0.53412308, 0.53659083, - 0.53906998, 0.54156058, 0.5440627, 0.54657637, 0.54910166, - 0.55163861, 0.55418728, 0.55674773, 0.55932001, 0.56190418, - 0.56450028, 0.56710838, 0.56972853, 0.57236078, 0.5750052, - 0.57766183, 0.58033074, 0.58301198, 0.5857056, 0.58841168, - 0.59113025, 0.59386138, 0.59660513, 0.59936156, 0.60213073, - 0.60491269, 0.6077075, 0.61051522, 0.61333592, 0.61616965, - 0.61901647, 0.62187644, 0.62474963, 0.62763609, 0.63053589, - 0.63344908, 0.63637574, 0.63931591, 0.64226968, 0.64523708, - 0.6482182, 0.65121309, 0.65422182, 0.65724445, 0.66028104, - 0.66333167, 0.66639639, 0.66947526, 0.67256837, 0.67567576, - 0.67879751, 0.68193368, 0.68508435, 0.68824957, 0.69142941, - 0.69462394, 0.69783324, 0.70105736, 0.70429638, 0.70755036, - 0.71081938, 0.7141035, 0.71740279, 0.72071733, 0.72404718, - 0.72739242, 0.73075311, 0.73412933, 0.73752114, 0.74092863, - 0.74435186, 0.74779091, 0.75124584, 0.75471674, 0.75820368, - 0.76170672, 0.76522595, 0.76876144, 0.77231326, 0.7758815, - 0.77946622, 0.7830675, 0.78668542, 0.79032006, 0.79397148, - 0.79763978, 0.80132503, 0.8050273, 0.80874668, 0.81248325, - 0.81623707, 0.82000824, 0.82379684, 0.82760293, 0.83142662, - 0.83526797, 0.83912706, 0.84300399, 0.84689883, 0.85081166, - 0.85474257, 0.85869164, 0.86265896, 0.86664461, 0.87064867, - 0.87467124, 0.87871238, 0.8827722, 0.88685078, 0.8909482, - 0.89506455, 0.89919991, 0.90335439, 0.90752806, 0.91172101, - 0.91593333, 0.92016512, 0.92441646, 0.92868743, 0.93297815, - 0.93728868, 0.94161913, 0.94596959, 0.95034015, 0.9547309, - 0.95914194, 0.96357336, 0.96802525, 0.97249771, 0.97699084, - 0.98150472, 0.98603946, 0.99059515, 0.99517189, 0.99976977 - }; - - std::ofstream fw(OutName+"_NNGrid.dat", std::ofstream::out); - if(fw.is_open()) - for (auto set : sets) - { - for(auto x : xgrid) - fw << set(x, 5)[6] << ", "; - fw << "\n"; - } - fw.close(); - - return 0; -} diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt deleted file mode 100644 index 011e58bd0..000000000 --- a/src/CMakeLists.txt +++ /dev/null @@ -1,14 +0,0 @@ -add_subdirectory(predictions) -add_subdirectory(parameterisations) -add_subdirectory(chisquare) - -option(SHARED "Build shared-libray instead of static-libray" ON) -if(SHARED) - add_library(MontBlanc SHARED $ $ $) -else(SHARED) - add_library(MontBlanc STATIC $ $ $) -endif(SHARED) - -target_link_libraries(MontBlanc ${YAML_LDFLAGS} ${EIGEN3_LDFLAGS} ${CERES_LIBRARIES} ${GLOG_LDFLAGS} ${GFLAGS_LDFLAGS} ${APFELXX_LIBRARIES} ${NANGAPARBAT_LIBRARIES} ${LHAPDF_LIBRARIES} ${GSL_LIBRARIES}) -install(DIRECTORY ${PROJECT_SOURCE_DIR}/inc/MontBlanc DESTINATION include) -install(TARGETS MontBlanc DESTINATION lib) diff --git a/src/chisquare/CMakeLists.txt b/src/chisquare/CMakeLists.txt deleted file mode 100644 index f7e920c55..000000000 --- a/src/chisquare/CMakeLists.txt +++ /dev/null @@ -1,6 +0,0 @@ -set(AnalyticChiSquare_source - AnalyticChiSquare.cc - IterationCallBack.cc - ) - -add_library(chisquare OBJECT ${AnalyticChiSquare_source}) \ No newline at end of file diff --git a/src/chisquare/IterationCallBack.cc b/src/chisquare/IterationCallBack.cc index 496524d81..7d60390bb 100644 --- a/src/chisquare/IterationCallBack.cc +++ b/src/chisquare/IterationCallBack.cc @@ -13,7 +13,7 @@ namespace MontBlanc volatile sig_atomic_t stop; //_________________________________________________________________________ - void inthand(int signum) + void inthand(int) { stop = 1; } diff --git a/src/parameterisations/CMakeLists.txt b/src/parameterisations/CMakeLists.txt deleted file mode 100644 index a9f710425..000000000 --- a/src/parameterisations/CMakeLists.txt +++ /dev/null @@ -1,6 +0,0 @@ -set(parameterisations_source - NNADparameterisation.cc - LHAPDFparameterisation.cc - ) - -add_library(parameterisations OBJECT ${parameterisations_source}) diff --git a/tables/DC1G2Q.yaml b/tables/DC1G2Q.yaml deleted file mode 100644 index cdd0b06c0..000000000 --- a/tables/DC1G2Q.yaml +++ /dev/null @@ -1,11 +0,0 @@ -DoubleExpression: DC1G2Q -Integration accuracy: 1e-05 -FirstGrid: - - [100, 0.001, 3] - - [33, 0.1023293, 3] - - [48, 0.81283052, 3] -SecondGrid: - - [100, 0.01, 3] - - [34, 0.20892961, 3] - - [48, 0.83176377, 3] -DoubleOperator: [[[[-0.2169052, 0.052328551, -0.0012409593, 0.0088070644, 0.0048961688, 0.0037009241, 0.0029600348, 0.0024561902, 0.0020963161, 0.0018307505, 0.001630158, 0.0014760281, 0.0013560967, 0.0012619218, 0.0011875102, 0.0011284962, 0.0010816309, 0.0010444516, 0.0010150624, 0.00099198328, 0.00097404557, 0.00096031674, 0.000950046, 0.00094262408, 0.0009375531, 0.00093442374, 0.00093289767, 0.00093269395, 0.00093357837, 0.00093535498, 0.00093785937, 0.00094095327, 0.00094452016, 0.00094846171, 0.00095269487, 0.00095714946, 0.00096176614, 0.00096649484, 0.00097129327, 0.00097612584, 0.00098096264, 0.00098577863, 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1.6152984e-08, 1.6867337e-08, 1.7604076e-08, 1.8363696e-08, 1.9146686e-08, 1.9953533e-08, 2.078472e-08, 2.1640724e-08, 2.2522021e-08], [0.00030017576, 2.7826369e-10, 5.8844766e-10, 8.7297853e-10, 1.1649352e-09, 1.4585028e-09, 1.7543509e-09, 2.053144e-09, 2.3555413e-09, 2.6621972e-09, 2.9737609e-09, 3.2908764e-09, 3.6141829e-09, 3.9443146e-09, 4.2819008e-09, 4.6275657e-09, 4.9819289e-09, 5.3456048e-09, 5.7192033e-09, 6.1033292e-09, 6.4985828e-09, 6.9055595e-09, 7.32485e-09, 7.7570404e-09, 8.202712e-09, 8.6624416e-09, 9.1368013e-09, 9.6263587e-09, 1.0131677e-08, 1.0653314e-08, 1.1191825e-08, 1.1747758e-08, 1.2321659e-08, 1.2914068e-08, 1.3525522e-08, 1.4156553e-08, 1.4807688e-08, 1.547945e-08, 1.6172359e-08, 1.6886928e-08, 1.762367e-08, 1.8383089e-08, 1.9165688e-08, 1.9971965e-08, 2.0802414e-08, 2.1657524e-08, 2.2537781e-08, 2.3443666e-08], [0.00031160039, 2.9575526e-10, 6.2540602e-10, 9.2772385e-10, 1.2378355e-09, 1.549528e-09, 1.8634807e-09, 2.1803681e-09, 2.5008591e-09, 2.8256176e-09, 3.1553025e-09, 3.4905674e-09, 3.8320608e-09, 4.1804264e-09, 4.5363027e-09, 4.9003231e-09, 5.2731164e-09, 5.6553061e-09, 6.0475111e-09, 6.4503452e-09, 6.8644175e-09, 7.2903322e-09, 7.7286888e-09, 8.1800819e-09, 8.6451017e-09, 9.1243333e-09, 9.6183574e-09, 1.012775e-08, 1.0653082e-08, 1.1194921e-08, 1.1753828e-08, 1.2330362e-08, 1.2925076e-08, 1.3538517e-08, 1.4171231e-08, 1.4823758e-08, 1.5496632e-08, 1.6190384e-08, 1.6905542e-08, 1.7642627e-08, 1.8402158e-08, 1.9184649e-08, 1.9990609e-08, 2.0820543e-08, 2.1674952e-08, 2.2554334e-08, 2.3459181e-08, 2.4389981e-08], [0.00032313733, 3.138816e-10, 6.6370503e-10, 9.8445354e-10, 1.3133755e-09, 1.6438447e-09, 1.9765503e-09, 2.3121763e-09, 2.6514012e-09, 2.9948984e-09, 3.343336e-09, 3.697377e-09, 4.0576792e-09, 4.4248954e-09, 4.7996731e-09, 5.182655e-09, 5.5744785e-09, 5.9757763e-09, 6.3871759e-09, 6.8092999e-09, 7.2427662e-09, 7.6881875e-09, 8.1461718e-09, 8.6173224e-09, 9.1022377e-09, 9.6015112e-09, 1.0115732e-08, 1.0645484e-08, 1.1191347e-08, 1.1753895e-08, 1.23337e-08, 1.2931326e-08, 1.3547334e-08, 1.4182282e-08, 1.4836721e-08, 1.5511198e-08, 1.6206257e-08, 1.6922437e-08, 1.7660271e-08, 1.8420289e-08, 1.9203017e-08, 2.0008975e-08, 2.0838682e-08, 2.1692648e-08, 2.2571383e-08, 2.3475391e-08, 2.4405171e-08, 2.536122e-08], [0.0003347815, 3.3264753e-10, 7.0335489e-10, 1.0431827e-09, 1.3915752e-09, 1.741478e-09, 2.0935898e-09, 2.4486037e-09, 2.8072077e-09, 3.1700845e-09, 3.5379112e-09, 3.9113601e-09, 4.2910978e-09, 4.6777862e-09, 5.0720818e-09, 5.4746358e-09, 5.8860947e-09, 6.3070997e-09, 6.738287e-09, 7.1802877e-09, 7.6337282e-09, 8.0992296e-09, 8.5774084e-09, 9.0688761e-09, 9.5742392e-09, 1.00941e-08, 1.0629054e-08, 1.1179695e-08, 1.174661e-08, 1.2330382e-08, 1.2931588e-08, 1.3550803e-08, 1.4188595e-08, 1.4845527e-08, 1.5522161e-08, 1.621905e-08, 1.6936746e-08, 1.7675794e-08, 1.8436736e-08, 1.9220109e-08, 2.0026446e-08, 2.0856275e-08, 2.171012e-08, 2.25885e-08, 2.3491932e-08, 2.4420925e-08, 2.5375988e-08, 2.6357621e-08]]]] diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index f618bd954..58a9c8776 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -1,9 +1,8 @@ -# build exacutable -add_executable(ClosureTests ClosureTests.cc) -target_link_libraries(ClosureTests MontBlanc) - -add_executable(MCReplicaGeneration MCReplicaGeneration.cc) -target_link_libraries(MCReplicaGeneration MontBlanc) - -add_executable(Reweighting Reweighting.cc) -target_link_libraries(Reweighting MontBlanc) +# build tests +file(GLOB testcodes *.cc ) +foreach(testsource ${testcodes}) + GET_FILENAME_COMPONENT(filename ${testsource} NAME_WE) + add_executable(${filename} ${filename}.cc) + target_link_libraries(${filename} MontBlanc) + add_test(${filename} ${filename}) +endforeach() From a45b37d1e9b49e93e209d3a0518fd802745f8812 Mon Sep 17 00:00:00 2001 From: Valerio Bertone Date: Thu, 13 Feb 2025 19:56:20 +0100 Subject: [PATCH 10/14] Allowing for different x and z grids also in PredictionsHandlerApprox --- inc/MontBlanc/predictionshandler_approx.h | 14 +++++---- run/Optimize.cc | 2 +- run/PredsComparison.cc | 2 +- src/predictions/predictionshandler_approx.cc | 33 +++++++++++--------- 4 files changed, 28 insertions(+), 23 deletions(-) diff --git a/inc/MontBlanc/predictionshandler_approx.h b/inc/MontBlanc/predictionshandler_approx.h index 0203b35bc..b2938e8bc 100644 --- a/inc/MontBlanc/predictionshandler_approx.h +++ b/inc/MontBlanc/predictionshandler_approx.h @@ -26,16 +26,17 @@ namespace MontBlanc * @brief The "PredictionsHandlerApprox" constructor */ PredictionsHandlerApprox(YAML::Node const& config, - NangaParbat::DataHandler const& DH, - std::shared_ptr const& g, - std::vector> const& cuts = {}); + NangaParbat::DataHandler const& DH, + std::shared_ptr const& gx, + std::shared_ptr const& gz, + std::vector> const& cuts = {}); /** * @brief The "PredictionsHandlerApprox" copy constructor with possibly * additional cuts */ - PredictionsHandlerApprox(PredictionsHandlerApprox const& DH, - std::vector> const& cuts = {}); + PredictionsHandlerApprox(PredictionsHandlerApprox const& DH, + std::vector> const& cuts = {}); /** * @brief Function that sets the input set of FFs at the initial scale @@ -56,7 +57,8 @@ namespace MontBlanc private: double const _mu0; std::vector const _Thresholds; - std::shared_ptr const _g; + std::shared_ptr const _gx; + std::shared_ptr const _gz; NangaParbat::DataHandler::Observable const _obs; std::vector const _bins; std::vector const _qTfact; diff --git a/run/Optimize.cc b/run/Optimize.cc index e352b3778..e2b1a69be 100644 --- a/run/Optimize.cc +++ b/run/Optimize.cc @@ -179,7 +179,7 @@ int main(int argc, char *argv[]) if (SIDIStype == 0) PH = std::make_shared(config["Predictions"], *DH, gx, gz, cuts); else - PH = std::make_shared(config["Predictions"], *DH, gz, cuts); + PH = std::make_shared(config["Predictions"], *DH, gx, gz, cuts); //MontBlanc::PredictionsHandler PH{config["Predictions"], *DH, gx, gz, cuts}; // Training fraction diff --git a/run/PredsComparison.cc b/run/PredsComparison.cc index 62479ae61..188f3c649 100644 --- a/run/PredsComparison.cc +++ b/run/PredsComparison.cc @@ -86,7 +86,7 @@ int main(int argc, char *argv[]) NangaParbat::DataHandler *DH = new NangaParbat::DataHandler{ds["name"].as(), YAML::LoadFile(datafolder + ds["file"].as())}; // Add block to the chi2 - DSVect_legacy.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandlerApprox{config["Predictions"], *DH, gz})); + DSVect_legacy.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandlerApprox{config["Predictions"], *DH, gx, gz})); DSVect_new.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{config["Predictions"], *DH, gx, gz})); } diff --git a/src/predictions/predictionshandler_approx.cc b/src/predictions/predictionshandler_approx.cc index 2a0ddcd16..a39dc858e 100644 --- a/src/predictions/predictionshandler_approx.cc +++ b/src/predictions/predictionshandler_approx.cc @@ -15,13 +15,15 @@ namespace MontBlanc { //_________________________________________________________________________ PredictionsHandlerApprox::PredictionsHandlerApprox(YAML::Node const& config, - NangaParbat::DataHandler const& DH, - std::shared_ptr const& g, - std::vector> const& cuts): + NangaParbat::DataHandler const& DH, + std::shared_ptr const& gx, + std::shared_ptr const& gz, + std::vector> const& cuts): NangaParbat::ConvolutionTable{}, _mu0(config["mu0"].as()), _Thresholds(config["thresholds"].as>()), - _g(g), + _gx(gx), + _gz(gz), _obs(DH.GetObservable()), _bins(DH.GetBinning()), _qTfact(DH.GetKinematics().qTfact), @@ -73,10 +75,10 @@ namespace MontBlanc // Initialize QCD time-like evolution operators and tabulated them const std::unique_ptr>> TabGammaij{new const apfel::TabulateObject> - {*(BuildDglap(InitializeDglapObjectsQCDT(*_g, _Thresholds, true), _mu0, PerturbativeOrder, Alphas)), 100, 1, 100, 3}}; + {*(BuildDglap(InitializeDglapObjectsQCDT(*_gz, _Thresholds, true), _mu0, PerturbativeOrder, Alphas)), 100, 1, 100, 3}}; // Zero operator - const apfel::Operator Zero{*_g, apfel::Null{}}; + const apfel::Operator Zero{*_gz, apfel::Null{}}; // Set cuts in the mother class this->_cuts = cuts; @@ -104,7 +106,7 @@ namespace MontBlanc std::map Gammaij = TabGammaij->Evaluate(Vs).GetObjects(); // Get F2 objects at the scale Vs - const apfel::StructureFunctionObjects F2Obj = apfel::InitializeF2NCObjectsZMT(*_g, _Thresholds)(Vs, apfel::ElectroWeakCharges(Vs, true)); + const apfel::StructureFunctionObjects F2Obj = apfel::InitializeF2NCObjectsZMT(*_gz, _Thresholds)(Vs, apfel::ElectroWeakCharges(Vs, true)); // Get skip vector const std::vector skip = F2Obj.skip; @@ -192,8 +194,8 @@ namespace MontBlanc std::function(double const&)> fBq = [=] (double const& Q) -> std::vector { return apfel::ElectroWeakCharges(Q, false); }; // Initialise inclusive structure functions - const auto IF2 = BuildStructureFunctions(InitializeF2NCObjectsZM(*_g, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); - const auto IFL = BuildStructureFunctions(InitializeFLNCObjectsZM(*_g, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); + const auto IF2 = BuildStructureFunctions(InitializeF2NCObjectsZM(*_gx, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); + const auto IFL = BuildStructureFunctions(InitializeFLNCObjectsZM(*_gx, _Thresholds), RotPDFs, PerturbativeOrder, Alphas, fBq); // Inclusive cross section differential in x and Q as a // distribution function of Q @@ -225,7 +227,7 @@ namespace MontBlanc } // Initialize SIDIS objects. - const apfel::SidisObjects so = InitializeSIDIS(*_g, _Thresholds); + const apfel::SidisObjects so = InitializeSIDIS(*_gx, *_gz,_Thresholds); // Semi-inclusive hard cross sections differential in x, Q, and z // as a Set> function of Q. @@ -251,7 +253,7 @@ namespace MontBlanc // Produce a map of distributions out of the PDFs in the // physical basis - const std::map DistPDFs = apfel::DistributionMap(*_g, tPDFs, Q); + const std::map DistPDFs = apfel::DistributionMap(*_gx, tPDFs, Q); // Initialise a map of double objects to be used to construct // a set @@ -264,7 +266,7 @@ namespace MontBlanc eqfq += Bq[q-1] * ( DistPDFs.at(q) + DistPDFs.at(-q) ); // NLO gq for F2 and FL - apfel::DoubleObject D0t{{{1.0, apfel::Distribution {*_g, [] (double const&) -> double { return 0.0; }}, apfel::Operator {*_g, apfel::Null{}}}}}; + apfel::DoubleObject D0t{{{1.0, apfel::Distribution {*_gx, [] (double const&) -> double { return 0.0; }}, apfel::Operator {*_gz, apfel::Null{}}}}}; if (PerturbativeOrder >= 1) { for (auto const& t: so.C21gq.GetTerms()) @@ -480,12 +482,13 @@ namespace MontBlanc } //_________________________________________________________________________ - PredictionsHandlerApprox::PredictionsHandlerApprox(PredictionsHandlerApprox const& PH, - std::vector> const& cuts): + PredictionsHandlerApprox::PredictionsHandlerApprox(PredictionsHandlerApprox const& PH, + std::vector> const& cuts): NangaParbat::ConvolutionTable{}, _mu0(PH._mu0), _Thresholds(PH._Thresholds), - _g(PH._g), + _gx(PH._gx), + _gz(PH._gz), _obs(PH._obs), _bins(PH._bins), _qTfact(PH._qTfact), From 65f6f4b1023360fe4ee196bd7eb50b5255a38e37 Mon Sep 17 00:00:00 2001 From: achiefa Date: Fri, 14 Feb 2025 15:10:26 +0000 Subject: [PATCH 11/14] Add table path configuration --- CMakeLists.txt | 12 +++++ src/predictions/predictionshandler.cc | 71 ++++++++++++++------------- 2 files changed, 50 insertions(+), 33 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index af9ad1248..a948d7973 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -25,6 +25,18 @@ if (CMAKE_VERSION VERSION_GREATER_EQUAL "3.27.0") cmake_policy(SET CMP0148 OLD) endif () +# ============================ +# SIDIS TABLES +# ============================s +# Set a default path (relative to the source directory) +set(DEFAULT_SOURCE_DIR "${CMAKE_SOURCE_DIR}") + +# Allow the user to override the default using -DCMAKE_SOURCE_DIR= +set(SOURCE_DIR ${DEFAULT_SOURCE_DIR} CACHE PATH "Path to the source directory where tables are stored") + +# Pass the path as a preprocessor definition +add_compile_definitions(SOURCE_DIR="${SOURCE_DIR}") + # ============================ # MAIN # ============================ diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index 1dc83fbf3..7ffb45f9c 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -11,8 +11,10 @@ #include #include -#ifndef TABLE_DIR - #error "TABLE_DIR is not defined!" +// Compiler guard to avoid warnings in the use of the SOURCE_DIR +// The variable SOURCE_DIR is defined during the CMake configuration +#ifndef SOURCE_DIR + #error "SOURCE_DIR is not defined!" #endif //TABLE_DIR namespace MontBlanc @@ -221,42 +223,45 @@ namespace MontBlanc // Tabulate total inclusive cross sections in Q const apfel::TabulateObject TabIncXSecQ{IncXSecQ, 100, 1, 10, 3, _Thresholds}; + // Path to SIDIS tables + std::string SIDISTablePath = SOURCE_DIR + std::string("/") + (config["SIDIS tables"] ? config["SIDIS tables"].as() : std::string("tables")); + // -- LO - const apfel::DoubleOperator OT0ns{YAML::LoadFile(std::string(TABLE_DIR) + "/DoubleIdentity.yaml"), *_gx, *_gz, apfel::DoubleIdentity{}}; + const apfel::DoubleOperator OT0ns{YAML::LoadFile(SIDISTablePath + "/DoubleIdentity.yaml"), *_gx, *_gz, apfel::DoubleIdentity{}}; // -- NLO // Transverse - const apfel::DoubleOperator OT1ns{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2Q.yaml"), *_gx, *_gz, apfel::C1TQ2Q{}}; - const apfel::DoubleOperator OT1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TQ2G.yaml"), *_gx, *_gz, apfel::C1TQ2G{}}; - const apfel::DoubleOperator OT1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1TG2Q.yaml"), *_gx, *_gz, apfel::C1TG2Q{}}; + const apfel::DoubleOperator OT1ns{YAML::LoadFile(SIDISTablePath + "/C1TQ2Q.yaml"), *_gx, *_gz, apfel::C1TQ2Q{}}; + const apfel::DoubleOperator OT1gq{YAML::LoadFile(SIDISTablePath + "/C1TQ2G.yaml"), *_gx, *_gz, apfel::C1TQ2G{}}; + const apfel::DoubleOperator OT1qg{YAML::LoadFile(SIDISTablePath + "/C1TG2Q.yaml"), *_gx, *_gz, apfel::C1TG2Q{}}; // Longitudinal - const apfel::DoubleOperator OL1ns{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2Q.yaml"), *_gx, *_gz, apfel::C1LQ2Q{}}; - const apfel::DoubleOperator OL1gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LQ2G.yaml"), *_gx, *_gz, apfel::C1LQ2G{}}; - const apfel::DoubleOperator OL1qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C1LG2Q.yaml"), *_gx, *_gz, apfel::C1LG2Q{}}; + const apfel::DoubleOperator OL1ns{YAML::LoadFile(SIDISTablePath + "/C1LQ2Q.yaml"), *_gx, *_gz, apfel::C1LQ2Q{}}; + const apfel::DoubleOperator OL1gq{YAML::LoadFile(SIDISTablePath + "/C1LQ2G.yaml"), *_gx, *_gz, apfel::C1LQ2G{}}; + const apfel::DoubleOperator OL1qg{YAML::LoadFile(SIDISTablePath + "/C1LG2Q.yaml"), *_gx, *_gz, apfel::C1LG2Q{}}; // -- NNLO // Transverse - const apfel::DoubleOperator OT2ns_nf3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{3}}; - const apfel::DoubleOperator OT2ns_nf4{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{4}}; - const apfel::DoubleOperator OT2ns_nf5{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{5}}; - const apfel::DoubleOperator OT2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2G.yaml"), *_gx, *_gz, apfel::C2TQ2G{}}; - const apfel::DoubleOperator OT2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2Q.yaml"), *_gx, *_gz, apfel::C2TG2Q{}}; - const apfel::DoubleOperator OT2gg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TG2G.yaml"), *_gx, *_gz, apfel::C2TG2G{}}; - const apfel::DoubleOperator OT2qbq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QB.yaml"), *_gx, *_gz, apfel::C2TQ2QB{}}; - const apfel::DoubleOperator OT2qpq1{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP1.yaml"), *_gx, *_gz, apfel::C2TQ2QP1{}}; - const apfel::DoubleOperator OT2qpq2{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP2.yaml"), *_gx, *_gz, apfel::C2TQ2QP2{}}; - const apfel::DoubleOperator OT2qpq3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QP3.yaml"), *_gx, *_gz, apfel::C2TQ2QP3{}}; - const apfel::DoubleOperator OT2ps{YAML::LoadFile(std::string(TABLE_DIR) + "/C2TQ2QPS.yaml"), *_gx, *_gz, apfel::C2TQ2QPS{}}; + const apfel::DoubleOperator OT2ns_nf3{YAML::LoadFile(SIDISTablePath + "/C2TQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{3}}; + const apfel::DoubleOperator OT2ns_nf4{YAML::LoadFile(SIDISTablePath + "/C2TQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{4}}; + const apfel::DoubleOperator OT2ns_nf5{YAML::LoadFile(SIDISTablePath + "/C2TQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2TQ2QNS{5}}; + const apfel::DoubleOperator OT2gq{YAML::LoadFile(SIDISTablePath + "/C2TQ2G.yaml"), *_gx, *_gz, apfel::C2TQ2G{}}; + const apfel::DoubleOperator OT2qg{YAML::LoadFile(SIDISTablePath + "/C2TG2Q.yaml"), *_gx, *_gz, apfel::C2TG2Q{}}; + const apfel::DoubleOperator OT2gg{YAML::LoadFile(SIDISTablePath + "/C2TG2G.yaml"), *_gx, *_gz, apfel::C2TG2G{}}; + const apfel::DoubleOperator OT2qbq{YAML::LoadFile(SIDISTablePath + "/C2TQ2QB.yaml"), *_gx, *_gz, apfel::C2TQ2QB{}}; + const apfel::DoubleOperator OT2qpq1{YAML::LoadFile(SIDISTablePath + "/C2TQ2QP1.yaml"), *_gx, *_gz, apfel::C2TQ2QP1{}}; + const apfel::DoubleOperator OT2qpq2{YAML::LoadFile(SIDISTablePath + "/C2TQ2QP2.yaml"), *_gx, *_gz, apfel::C2TQ2QP2{}}; + const apfel::DoubleOperator OT2qpq3{YAML::LoadFile(SIDISTablePath + "/C2TQ2QP3.yaml"), *_gx, *_gz, apfel::C2TQ2QP3{}}; + const apfel::DoubleOperator OT2ps{YAML::LoadFile(SIDISTablePath + "/C2TQ2QPS.yaml"), *_gx, *_gz, apfel::C2TQ2QPS{}}; // Longitudinal - const apfel::DoubleOperator OL2ns_nf3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{3}}; - const apfel::DoubleOperator OL2ns_nf4{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{4}}; - const apfel::DoubleOperator OL2ns_nf5{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{5}}; - const apfel::DoubleOperator OL2gq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2G.yaml"), *_gx, *_gz, apfel::C2LQ2G{}}; - const apfel::DoubleOperator OL2qg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2Q.yaml"), *_gx, *_gz, apfel::C2LG2Q{}}; - const apfel::DoubleOperator OL2gg{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LG2G.yaml"), *_gx, *_gz, apfel::C2LG2G{}}; - const apfel::DoubleOperator OL2qbq{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QB.yaml"), *_gx, *_gz, apfel::C2LQ2QB{}}; - const apfel::DoubleOperator OL2qpq1{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QP1.yaml"), *_gx, *_gz, apfel::C2LQ2QP1{}}; - const apfel::DoubleOperator OL2qpq2{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QP2.yaml"), *_gx, *_gz, apfel::C2LQ2QP2{}}; - const apfel::DoubleOperator OL2qpq3{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QP3.yaml"), *_gx, *_gz, apfel::C2LQ2QP3{}}; - const apfel::DoubleOperator OL2ps{YAML::LoadFile(std::string(TABLE_DIR) + "/C2LQ2QPS.yaml"), *_gx, *_gz, apfel::C2LQ2QPS{}}; + const apfel::DoubleOperator OL2ns_nf3{YAML::LoadFile(SIDISTablePath + "/C2LQ2QNS_nf3.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{3}}; + const apfel::DoubleOperator OL2ns_nf4{YAML::LoadFile(SIDISTablePath + "/C2LQ2QNS_nf4.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{4}}; + const apfel::DoubleOperator OL2ns_nf5{YAML::LoadFile(SIDISTablePath + "/C2LQ2QNS_nf5.yaml"), *_gx, *_gz, apfel::C2LQ2QNS{5}}; + const apfel::DoubleOperator OL2gq{YAML::LoadFile(SIDISTablePath + "/C2LQ2G.yaml"), *_gx, *_gz, apfel::C2LQ2G{}}; + const apfel::DoubleOperator OL2qg{YAML::LoadFile(SIDISTablePath + "/C2LG2Q.yaml"), *_gx, *_gz, apfel::C2LG2Q{}}; + const apfel::DoubleOperator OL2gg{YAML::LoadFile(SIDISTablePath + "/C2LG2G.yaml"), *_gx, *_gz, apfel::C2LG2G{}}; + const apfel::DoubleOperator OL2qbq{YAML::LoadFile(SIDISTablePath + "/C2LQ2QB.yaml"), *_gx, *_gz, apfel::C2LQ2QB{}}; + const apfel::DoubleOperator OL2qpq1{YAML::LoadFile(SIDISTablePath + "/C2LQ2QP1.yaml"), *_gx, *_gz, apfel::C2LQ2QP1{}}; + const apfel::DoubleOperator OL2qpq2{YAML::LoadFile(SIDISTablePath + "/C2LQ2QP2.yaml"), *_gx, *_gz, apfel::C2LQ2QP2{}}; + const apfel::DoubleOperator OL2qpq3{YAML::LoadFile(SIDISTablePath + "/C2LQ2QP3.yaml"), *_gx, *_gz, apfel::C2LQ2QP3{}}; + const apfel::DoubleOperator OL2ps{YAML::LoadFile(SIDISTablePath + "/C2LQ2QPS.yaml"), *_gx, *_gz, apfel::C2LQ2QPS{}}; const apfel::DoubleOperator OZero{*_gx, *_gz, apfel::DoubleNull{}}; @@ -288,8 +293,8 @@ namespace MontBlanc const double fact = ( 4 * M_PI * pow(Alphaem(Q), 2) / pow(Q, 3) ); // Functions that multiply FT and FL - const std::function funcL = [=] (double const& x, double const& z) -> double{ return fact * 2 * ( 1 - pow(Q / Vs, 2) / x ) / x; }; - const std::function funcT = [=] (double const& x, double const& z) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; + const std::function funcL = [=] (double const& x, double const&) -> double{ return fact * 2 * ( 1 - pow(Q / Vs, 2) / x ) / x; }; + const std::function funcT = [=] (double const& x, double const&) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; // Transverse apfel::DoubleOperator OTns = OT0ns; From 8407638f5284d56986d8353bae253b7feeb583a4 Mon Sep 17 00:00:00 2001 From: vbertone Date: Sat, 15 Feb 2025 09:27:52 +0100 Subject: [PATCH 12/14] Small bug fix --- run/CMakeLists.txt | 2 +- src/predictions/predictionshandler.cc | 102 +++++++++++++------------- tests/CMakeLists.txt | 2 +- {run => tests}/PredsComparison.cc | 2 +- tests/fl_comb.py | 46 ------------ 5 files changed, 52 insertions(+), 102 deletions(-) rename {run => tests}/PredsComparison.cc (97%) delete mode 100644 tests/fl_comb.py diff --git a/run/CMakeLists.txt b/run/CMakeLists.txt index 40db8b3c9..16501e148 100644 --- a/run/CMakeLists.txt +++ b/run/CMakeLists.txt @@ -1,5 +1,5 @@ # build run -file(GLOB runcodes *.cc ) +file(GLOB runcodes *.cc) foreach(testsource ${runcodes}) GET_FILENAME_COMPONENT(filename ${testsource} NAME_WE) add_executable(${filename} ${filename}.cc) diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index 7ffb45f9c..69bc119c4 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -294,26 +294,26 @@ namespace MontBlanc // Functions that multiply FT and FL const std::function funcL = [=] (double const& x, double const&) -> double{ return fact * 2 * ( 1 - pow(Q / Vs, 2) / x ) / x; }; - const std::function funcT = [=] (double const& x, double const&) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; + const std::function funcT = [=] (double const& x, double const&) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; // Transverse - apfel::DoubleOperator OTns = OT0ns; - apfel::DoubleOperator OTgq = OZero; - apfel::DoubleOperator OTqg = OZero; - apfel::DoubleOperator OTgg = OZero; - apfel::DoubleOperator OTps = OZero; - apfel::DoubleOperator OTqbq = OZero; + apfel::DoubleOperator OTns = OT0ns; + apfel::DoubleOperator OTgq = OZero; + apfel::DoubleOperator OTqg = OZero; + apfel::DoubleOperator OTgg = OZero; + apfel::DoubleOperator OTps = OZero; + apfel::DoubleOperator OTqbq = OZero; apfel::DoubleOperator OTqpq1 = OZero; apfel::DoubleOperator OTqpq2 = OZero; apfel::DoubleOperator OTqpq3 = OZero; // Longitudinal - apfel::DoubleOperator OLns = OZero; - apfel::DoubleOperator OLgq = OZero; - apfel::DoubleOperator OLqg = OZero; - apfel::DoubleOperator OLgg = OZero; - apfel::DoubleOperator OLps = OZero; - apfel::DoubleOperator OLqbq = OZero; + apfel::DoubleOperator OLns = OZero; + apfel::DoubleOperator OLgq = OZero; + apfel::DoubleOperator OLqg = OZero; + apfel::DoubleOperator OLgg = OZero; + apfel::DoubleOperator OLps = OZero; + apfel::DoubleOperator OLqbq = OZero; apfel::DoubleOperator OLqpq1 = OZero; apfel::DoubleOperator OLqpq2 = OZero; apfel::DoubleOperator OLqpq3 = OZero; @@ -321,11 +321,9 @@ namespace MontBlanc // Define operators that multiply all channels if (PerturbativeOrder >= 1) { - // Transverse OTns += as * OT1ns; OTgq += as * OT1gq; OTqg += as * OT1qg; - // Longitudinal OLns += as * OL1ns; OLgq += as * OL1gq; OLqg += as * OL1qg; @@ -350,22 +348,19 @@ namespace MontBlanc else throw std::runtime_error("[PredictionsHandler::PredictionsHandler]: Unknown number of active flavours."); - // Transverse - OTgq += as2 * OT2gq; - OTqg += as2 * OT2qg; - OTgg += as2 * OT2gg; - OTps += as2 * OT2ps; - OTqbq += as2 * OT2qbq; + OTgq += as2 * OT2gq; + OTqg += as2 * OT2qg; + OTgg += as2 * OT2gg; + OTps += as2 * OT2ps; + OTqbq += as2 * OT2qbq; OTqpq1 += as2 * OT2qpq1; OTqpq2 += as2 * OT2qpq2; OTqpq3 += as2 * OT2qpq3; - - // Longitudinal - OLgq += as2 * OL2gq; - OLqg += as2 * OL2qg; - OLgg += as2 * OL2gg; - OLps += as2 * OL2ps; - OLqbq += as2 * OL2qbq; + OLgq += as2 * OL2gq; + OLqg += as2 * OL2qg; + OLgg += as2 * OL2gg; + OLps += as2 * OL2ps; + OLqbq += as2 * OL2qbq; OLqpq1 += as2 * OL2qpq1; OLqpq2 += as2 * OL2qpq2; OLqpq3 += as2 * OL2qpq3; @@ -378,25 +373,25 @@ namespace MontBlanc // Initialise a map of double objects to be used to construct // a set - std::map KiMap{}; + std::map KiMap; // gq channel (NLO / NNLO) // ----------------------- apfel::Distribution eqfq = Bq[0] * ( DistPDFs.at(1) + DistPDFs.at(-1) ); for (int q = 2; q <= 5; q++) eqfq += Bq[q-1] * ( DistPDFs.at(q) + DistPDFs.at(-q) ); - apfel::DistributionOperator CT_gq_DO = OTgq.MultiplyFirstBy(eqfq); - apfel::DistributionOperator CL_gq_DO =OLgq.MultiplyFirstBy(eqfq); + const apfel::DistributionOperator CT_gq_DO = OTgq.MultiplyFirstBy(eqfq); + const apfel::DistributionOperator CL_gq_DO = OLgq.MultiplyFirstBy(eqfq); // gg channel (NNLO) // ----------------- const double etot = std::accumulate(Bq.begin(), Bq.begin() + nf, 0.); const apfel::Distribution eqfgTgi = etot * DistPDFs.at(21); - apfel::DistributionOperator CT_gg_DO = OTgg.MultiplyFirstBy(eqfgTgi); - apfel::DistributionOperator CL_gg_DO = OLgg.MultiplyFirstBy(eqfgTgi); + const apfel::DistributionOperator CT_gg_DO = OTgg.MultiplyFirstBy(eqfgTgi); + const apfel::DistributionOperator CL_gg_DO = OLgg.MultiplyFirstBy(eqfgTgi); // Sum the gg and gq channels and insert into Ki map - KiMap.insert({0, funcT * (CT_gg_DO + CT_gq_DO) + funcL * (CL_gg_DO + CL_gq_DO)}); + KiMap.insert({0, funcT * ( CT_gg_DO + CT_gq_DO) + funcL * (CL_gg_DO + CL_gq_DO )}); // Construct the other channels for (int i = 1; i < 13; i++) @@ -406,17 +401,17 @@ namespace MontBlanc apfel::Distribution eqfqTqi = Bq[0] * ( DistPDFs.at(1) * Tqi.at(1).at(i) + DistPDFs.at(-1) * Tqi.at(-1).at(i) ); for (int q = 2; q <= 5; q++) eqfqTqi += Bq[q-1] * ( DistPDFs.at(q) * Tqi.at(q).at(i) + DistPDFs.at(-q) * Tqi.at(-q).at(i) ); - apfel::DistributionOperator CT_qq_NS = OTns.MultiplyFirstBy(eqfqTqi); - apfel::DistributionOperator CL_qq_NS = OLns.MultiplyFirstBy(eqfqTqi); + const apfel::DistributionOperator CT_qq_NS = OTns.MultiplyFirstBy(eqfqTqi); + const apfel::DistributionOperator CL_qq_NS = OLns.MultiplyFirstBy(eqfqTqi); // Distribution for qg channel (NLO / NNLO) // ---------------------------------------- double eqTqi = 0; for (int q = 1; q <= 5; q++) eqTqi += Bq[q-1] * ( Tqi.at(q).at(i) + Tqi.at(-q).at(i) ); - apfel::Distribution fgeqTqi = eqTqi * DistPDFs.at(21); - apfel::DistributionOperator CT_qg = OTqg.MultiplyFirstBy(fgeqTqi); - apfel::DistributionOperator CL_qg = OLqg.MultiplyFirstBy(fgeqTqi); + const apfel::Distribution fgeqTqi = eqTqi * DistPDFs.at(21); + const apfel::DistributionOperator CT_qg = OTqg.MultiplyFirstBy(fgeqTqi); + const apfel::DistributionOperator CL_qg = OLqg.MultiplyFirstBy(fgeqTqi); // Distribution PS (NNLO) // ---------------------- @@ -424,16 +419,16 @@ namespace MontBlanc for (int q = 2; q <= 5; q++) etot_fqTqi += DistPDFs.at(q) * Tqi.at(q).at(i) + DistPDFs.at(-q) * Tqi.at(-q).at(i); etot_fqTqi *= etot; - apfel::DistributionOperator CL_qq_ps = OTps.MultiplyFirstBy(etot_fqTqi); - apfel::DistributionOperator CT_qq_ps = OLps.MultiplyFirstBy(etot_fqTqi); + const apfel::DistributionOperator CL_qq_ps = OTps.MultiplyFirstBy(etot_fqTqi); + const apfel::DistributionOperator CT_qq_ps = OLps.MultiplyFirstBy(etot_fqTqi); // Distribution for \bar{q}q channel (NNLO) // ---------------------------------------- apfel::Distribution eqfmqTqi = Bq[0] * ( DistPDFs.at(-1) * Tqi.at(1).at(i) + DistPDFs.at(1) * Tqi.at(-1).at(i) ); for (int q = 2; q <= 5; q++) eqfmqTqi += Bq[q-1] * ( DistPDFs.at(-q) * Tqi.at(q).at(i) + DistPDFs.at(q) * Tqi.at(-q).at(i) ); - apfel::DistributionOperator CT_qbq = OTqbq.MultiplyFirstBy(eqfmqTqi); - apfel::DistributionOperator CL_qbq = OLqbq.MultiplyFirstBy(eqfmqTqi); + const apfel::DistributionOperator CT_qbq = OTqbq.MultiplyFirstBy(eqfmqTqi); + const apfel::DistributionOperator CL_qbq = OLqbq.MultiplyFirstBy(eqfmqTqi); // Distribution (1), (2) and (3) for q'q (NNLO) // -------------------------------------------- @@ -451,19 +446,20 @@ namespace MontBlanc { eq1fq1Tq2i += Bq[std::abs(q1)-1] * DistPDFs.at(q1) * Tqi.at(q2).at(i); eq1fq2Tq1i += Bq[std::abs(q2)-1] * DistPDFs.at(q1) * Tqi.at(q2).at(i); - eq1eq2fq2Tq1i += (q1*q2 < 0 ? -1 : 1) * sqrt(Bq[q1-1] * Bq[q2-1]) * DistPDFs.at(q1) * Tqi.at(q2).at(i); + eq1eq2fq2Tq1i += (q1*q2 < 0 ? -1 : 1) * sqrt(Bq[std::abs(q1)-1] * Bq[std::abs(q2)-1]) * DistPDFs.at(q1) * Tqi.at(q2).at(i); } } } - apfel::DistributionOperator CT_qpq_1 = OTqpq1.MultiplyFirstBy(eq1fq1Tq2i); - apfel::DistributionOperator CL_qpq_1 = OLqpq1.MultiplyFirstBy(eq1fq1Tq2i); - apfel::DistributionOperator CT_qpq_2 = OTqpq2.MultiplyFirstBy(eq1fq2Tq1i); - apfel::DistributionOperator CL_qpq_2 = OLqpq2.MultiplyFirstBy(eq1fq2Tq1i); - apfel::DistributionOperator CT_qpq_3 = OTqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); - apfel::DistributionOperator CL_qpq_3 = OLqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); - KiMap.insert({i, funcT * (CT_qq_NS + CT_qg + CT_qq_ps + CT_qbq + CT_qpq_1 + CT_qpq_2 + CT_qpq_3) + funcL * (CL_qq_NS + CL_qg + CL_qq_ps + CL_qbq + CL_qpq_1 + CL_qpq_2 + CL_qpq_3)});} - - return apfel::Set{KiMap}; + const apfel::DistributionOperator CT_qpq_1 = OTqpq1.MultiplyFirstBy(eq1fq1Tq2i); + const apfel::DistributionOperator CL_qpq_1 = OLqpq1.MultiplyFirstBy(eq1fq1Tq2i); + const apfel::DistributionOperator CT_qpq_2 = OTqpq2.MultiplyFirstBy(eq1fq2Tq1i); + const apfel::DistributionOperator CL_qpq_2 = OLqpq2.MultiplyFirstBy(eq1fq2Tq1i); + const apfel::DistributionOperator CT_qpq_3 = OTqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); + const apfel::DistributionOperator CL_qpq_3 = OLqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); + KiMap.insert({i, funcT * ( CT_qq_NS + CT_qg + CT_qq_ps + CT_qbq + CT_qpq_1 + CT_qpq_2 + CT_qpq_3) + funcL * (CL_qq_NS + CL_qg + CL_qq_ps + CL_qbq + CL_qpq_1 + CL_qpq_2 + CL_qpq_3 )}); + } + + return apfel::Set{KiMap}; }; // Tabulate semi-inclusive cross sections in Q diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 58a9c8776..08558f54e 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -1,5 +1,5 @@ # build tests -file(GLOB testcodes *.cc ) +file(GLOB testcodes *.cc) foreach(testsource ${testcodes}) GET_FILENAME_COMPONENT(filename ${testsource} NAME_WE) add_executable(${filename} ${filename}.cc) diff --git a/run/PredsComparison.cc b/tests/PredsComparison.cc similarity index 97% rename from run/PredsComparison.cc rename to tests/PredsComparison.cc index 188f3c649..6fe81a631 100644 --- a/run/PredsComparison.cc +++ b/tests/PredsComparison.cc @@ -117,7 +117,7 @@ int main(int argc, char *argv[]) DSVect_legacy[iexp].second->SetInputFFs(FFset->DistributionFunction()); DSVect_new[iexp].second->SetInputFFs(FFset->DistributionFunction()); const std::vector prds_legacy = DSVect_legacy[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); - const std::vector prds_new = DSVect_new[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); + const std::vector prds_new = DSVect_new[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); std::cout << std::setw(15) << std::left << "Experimental\n value" << std::setw(20) << std::right << "(Q,x,z)" diff --git a/tests/fl_comb.py b/tests/fl_comb.py deleted file mode 100644 index 641de25d9..000000000 --- a/tests/fl_comb.py +++ /dev/null @@ -1,46 +0,0 @@ -import numpy as np -from numpy.linalg import inv -from sympy import * - -#---- SIAonly case - -# number of output NN nodes -Nout = 5 - -# flavour map as implemented in our runcard -fl_list = [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g - 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, # - d+ + s+ - 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+ - 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ - 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0] # - b+ - -# from fl_list to array -rows,cols = Nout, int(len(fl_list)/Nout) -fl_array = np.resize(fl_list,(rows,cols)) - -# Compute the (Moore-Penrose) pseudo-inverse of a matrix. -fl_array_inv = np.linalg.pinv(fl_array) -fl_matrix_inv = np.matrix(fl_array_inv.round(3)) - -# fl as symbols -tb, bb, cb, sb, ub, db, g, d, u, s, c, b, t = symbols('tb bb cb sb ub db g d u s c b t') - -# NN parameterisation as combination of flavours -NN_basis = np.transpose(np.matrix([g, sb+db+d+s,ub+u,cb+c,bb+b])) - -print("flavour map\n C = ", fl_array) -print("\n") -print("flavour map (Moore-Penrose) pseudo-inverse\n Cp = ", fl_array_inv.round(3)) - - - -phys_basis = fl_matrix_inv*NN_basis -print("\n") -print("transition physical basis\n Cp*NN = Cp*[g, sb+db+d+s, ub+u,cb+c, bb+b] = \n",phys_basis) - -print("\n To input in the config card:") -flavourmap = np.transpose(fl_matrix_inv).flatten().tolist()[0] -print(flavourmap) -print("dimension = ", int(len(flavourmap)/13),13) - - From 433691f97af272c5d6ab4dab59a9a46cb40e0920 Mon Sep 17 00:00:00 2001 From: vbertone Date: Sat, 15 Feb 2025 10:17:46 +0100 Subject: [PATCH 13/14] Removing temporary stuff from Optimize --- run/Optimize.cc | 33 ++++++--------------------------- 1 file changed, 6 insertions(+), 27 deletions(-) diff --git a/run/Optimize.cc b/run/Optimize.cc index e2b1a69be..99f7009fa 100644 --- a/run/Optimize.cc +++ b/run/Optimize.cc @@ -6,7 +6,6 @@ // #include "MontBlanc/predictionshandler.h" -#include "MontBlanc/predictionshandler_approx.h" #include "MontBlanc/AnalyticChiSquare.h" #include "MontBlanc/IterationCallBack.h" #include "MontBlanc/NNADparameterisation.h" @@ -133,10 +132,6 @@ int main(int argc, char *argv[]) // Hadronic species const std::string hadron = config["Data"]["hadron"].as(); - // Temporary - // SIDIS approx. or exact - const int SIDIStype = config["Predictions"]["SIDIS type"].as(); - // Vectors of DataHandler-ConvolutionTable pairs to be fed to the chi2 std::vector> DSVect; std::vector> DSVectt; @@ -174,13 +169,7 @@ int main(int argc, char *argv[]) (c["pars"] ? c["pars"].as>() : std::vector {}))); // Compute predictions within kinematic cuts - std::shared_ptr PH; - // Temporary - if (SIDIStype == 0) - PH = std::make_shared(config["Predictions"], *DH, gx, gz, cuts); - else - PH = std::make_shared(config["Predictions"], *DH, gx, gz, cuts); - //MontBlanc::PredictionsHandler PH{config["Predictions"], *DH, gx, gz, cuts}; + MontBlanc::PredictionsHandler PH{config["Predictions"], *DH, gx, gz, cuts}; // Training fraction double TrainingFraction = ds["training fraction"].as(); @@ -198,8 +187,8 @@ int main(int argc, char *argv[]) NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(config["Data"]["closure_test"]["ffset"].as(), gz); // Set LHAPDF set as an input and compute predictions - PH->SetInputFFs(LHAPDF_FFs->DistributionFunction()); - const std::vector theories = PH->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); + PH.SetInputFFs(LHAPDF_FFs->DistributionFunction()); + const std::vector theories = PH.GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); // Data fluctuation seed, if zero no fluctuations const int df = (ctlvl == 0 ? 0 : config["Data"]["seed"].as()); @@ -227,19 +216,9 @@ int main(int argc, char *argv[]) // the DH and PH objects defined above (tables are not recomputed) // for the total dataset (used at the end of the fit to compute // the optimal chi2) and the training and validation subsets. - if (SIDIStype == 0) - { - DSVect.push_back(std::make_pair(DHc, new MontBlanc::PredictionsHandler{*dynamic_cast(PH.get())})); - DSVectt.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{*dynamic_cast(PH.get()), {std::shared_ptr(new NangaParbat::TrainingCut{*TrainingCut})}})); - DSVectv.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{*dynamic_cast(PH.get()), {std::shared_ptr(new NangaParbat::TrainingCut{*ValidationCut})}})); - } - else - { - DSVect.push_back(std::make_pair(DHc, new MontBlanc::PredictionsHandlerApprox{*dynamic_cast(PH.get())})); - DSVectt.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandlerApprox{*dynamic_cast(PH.get()), {std::shared_ptr(new NangaParbat::TrainingCut{*TrainingCut})}})); - DSVectv.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandlerApprox{*dynamic_cast(PH.get()), {std::shared_ptr(new NangaParbat::TrainingCut{*ValidationCut})}})); - } - + DSVect.push_back(std::make_pair(DHc, new MontBlanc::PredictionsHandler{PH})); + DSVectt.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{PH, {std::shared_ptr(new NangaParbat::TrainingCut{*TrainingCut})}})); + DSVectv.push_back(std::make_pair(DH, new MontBlanc::PredictionsHandler{PH, {std::shared_ptr(new NangaParbat::TrainingCut{*ValidationCut})}})); } // NN Parameterisation From 3380b26304588cb18dd0809c2a1bee5770c6ace1 Mon Sep 17 00:00:00 2001 From: enocera Date: Fri, 28 Feb 2025 10:23:23 +0100 Subject: [PATCH 14/14] Checked proton SIA data; added unidentified hadron SIA data --- data/ALEPH_HA_PLUS_MINUS.yaml | 225 +++++++++++++++++++++++++++++ data/DELPHI_HA_PLUS_MINUS.yaml | 150 +++++++++++++++++++ data/DELPHI_HA_PLUS_MINUS_B.yaml | 151 +++++++++++++++++++ data/DELPHI_HA_PLUS_MINUS_UDS.yaml | 151 +++++++++++++++++++ data/OPAL_HA_PLUS_MINUS.yaml | 101 +++++++++++++ data/SLD_HA_PLUS_MINUS.yaml | 215 +++++++++++++++++++++++++++ data/SLD_HA_PLUS_MINUS_B.yaml | 174 ++++++++++++++++++++++ data/SLD_HA_PLUS_MINUS_C.yaml | 174 ++++++++++++++++++++++ data/SLD_HA_PLUS_MINUS_UDS.yaml | 174 ++++++++++++++++++++++ data/TASSO_14_HA_PLUS_MINUS.yaml | 115 +++++++++++++++ data/TASSO_22_HA_PLUS_MINUS.yaml | 115 +++++++++++++++ data/TASSO_35_HA_PLUS_MINUS.yaml | 115 +++++++++++++++ data/TASSO_44_HA_PLUS_MINUS.yaml | 115 +++++++++++++++ data/TPC_HA_PLUS_MINUS.yaml | 185 ++++++++++++++++++++++++ 14 files changed, 2160 insertions(+) create mode 100644 data/ALEPH_HA_PLUS_MINUS.yaml create mode 100644 data/DELPHI_HA_PLUS_MINUS.yaml create mode 100644 data/DELPHI_HA_PLUS_MINUS_B.yaml create mode 100644 data/DELPHI_HA_PLUS_MINUS_UDS.yaml create mode 100644 data/OPAL_HA_PLUS_MINUS.yaml create mode 100644 data/SLD_HA_PLUS_MINUS.yaml create mode 100644 data/SLD_HA_PLUS_MINUS_B.yaml create mode 100644 data/SLD_HA_PLUS_MINUS_C.yaml create mode 100644 data/SLD_HA_PLUS_MINUS_UDS.yaml create mode 100644 data/TASSO_14_HA_PLUS_MINUS.yaml create mode 100644 data/TASSO_22_HA_PLUS_MINUS.yaml create mode 100644 data/TASSO_35_HA_PLUS_MINUS.yaml create mode 100644 data/TASSO_44_HA_PLUS_MINUS.yaml create mode 100644 data/TPC_HA_PLUS_MINUS.yaml diff --git a/data/ALEPH_HA_PLUS_MINUS.yaml b/data/ALEPH_HA_PLUS_MINUS.yaml new file mode 100644 index 000000000..50bb8740b --- /dev/null +++ b/data/ALEPH_HA_PLUS_MINUS.yaml @@ -0,0 +1,225 @@ +dependent_variables: +- header: {title: "ALEPH $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.01 , high: 0.95 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 7.81025} + - {label: mult, value: 0.01} + value: 501.3 + - errors: + - {label: unc, value: 0.99925} + - {label: mult, value: 0.01} + value: 392.69 + - errors: + - {label: unc, value: 1.00623} + - {label: mult, value: 0.01} + value: 274.81 + - errors: + - {label: unc, value: 0.50289} + - {label: mult, value: 0.01} + value: 191.05 + - errors: + - {label: unc, value: 0.45880} + - {label: mult, value: 0.01} + value: 139.94 + - errors: + - {label: unc, value: 0.31953} + - {label: mult, value: 0.01} + value: 107.33 + - errors: + - {label: unc, value: 0.19723} + - {label: mult, value: 0.01} + value: 85.09 + - errors: + - {label: unc, value: 0.21024} + - {label: mult, value: 0.01} + value: 68.96 + - errors: + - {label: unc, value: 0.15264} + - {label: mult, value: 0.01} + value: 56.8 + - errors: + - {label: unc, value: 0.12104} + - {label: mult, value: 0.01} + value: 47.875 + - errors: + - {label: unc, value: 0.08766} + - {label: mult, value: 0.01} + value: 37.655 + - errors: + - {label: unc, value: 0.06162} + - {label: mult, value: 0.01} + value: 28.061 + - errors: + - {label: unc, value: 0.06435} + - {label: mult, value: 0.01} + value: 21.389 + - errors: + - {label: unc, value: 0.05220} + - {label: mult, value: 0.01} + value: 16.661 + - errors: + - {label: unc, value: 0.03890} + - {label: mult, value: 0.01} + value: 13.233 + - errors: + - {label: unc, value: 0.03183} + - {label: mult, value: 0.01} + value: 10.376 + - errors: + - {label: unc, value: 0.02759} + - {label: mult, value: 0.01} + value: 7.928 + - errors: + - {label: unc, value: 0.02335} + - {label: mult, value: 0.01} + value: 6.197 + - errors: + - {label: unc, value: 0.01921} + - {label: mult, value: 0.01} + value: 4.874 + - errors: + - {label: unc, value: 0.01910} + - {label: mult, value: 0.01} + value: 3.862 + - errors: + - {label: unc, value: 0.02163} + - {label: mult, value: 0.01} + value: 3.055 + - errors: + - {label: unc, value: 0.01421} + - {label: mult, value: 0.01} + value: 2.461 + - errors: + - {label: unc, value: 0.01487} + - {label: mult, value: 0.01} + value: 1.995 + - errors: + - {label: unc, value: 0.00986} + - {label: mult, value: 0.01} + value: 1.5555 + - errors: + - {label: unc, value: 0.01071} + - {label: mult, value: 0.01} + value: 1.2122 + - errors: + - {label: unc, value: 0.00795} + - {label: mult, value: 0.01} + value: 0.9401 + - errors: + - {label: unc, value: 0.01058} + - {label: mult, value: 0.01} + value: 0.7346 + - errors: + - {label: unc, value: 0.00672} + - {label: mult, value: 0.01} + value: 0.5634 + - errors: + - {label: unc, value: 0.00398} + - {label: mult, value: 0.01} + value: 0.41 + - errors: + - {label: unc, value: 0.00414} + - {label: mult, value: 0.01} + value: 0.2574 + - errors: + - {label: unc, value: 0.00336} + - {label: mult, value: 0.01} + value: 0.172 + - errors: + - {label: unc, value: 0.00300} + - {label: mult, value: 0.01} + value: 0.1042 + - errors: + - {label: unc, value: 0.00292} + - {label: mult, value: 0.01} + value: 0.0608 + - errors: + - {label: unc, value: 0.00324} + - {label: mult, value: 0.01} + value: 0.0263 + - errors: + - {label: unc, value: 0.00201} + - {label: mult, value: 0.01} + value: 0.0049 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01200, low: 0.00800, value: 0.01000, factor: 1.00000} + - {high: 0.02000, low: 0.01200, value: 0.01600, factor: 1.00000} + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.07000, low: 0.06000, value: 0.06500, factor: 1.00000} + - {high: 0.08000, low: 0.07000, value: 0.07500, factor: 1.00000} + - {high: 0.09000, low: 0.08000, value: 0.08500, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.22500, low: 0.20000, value: 0.21250, factor: 1.00000} + - {high: 0.25000, low: 0.22500, value: 0.23750, factor: 1.00000} + - {high: 0.27500, low: 0.25000, value: 0.26250, factor: 1.00000} + - {high: 0.30000, low: 0.27500, value: 0.28750, factor: 1.00000} + - {high: 0.32500, low: 0.30000, value: 0.31250, factor: 1.00000} + - {high: 0.35000, low: 0.32500, value: 0.33750, factor: 1.00000} + - {high: 0.37500, low: 0.35000, value: 0.36250, factor: 1.00000} + - {high: 0.40000, low: 0.37500, value: 0.38750, factor: 1.00000} + - {high: 0.43000, low: 0.40000, value: 0.41500, factor: 1.00000} + - {high: 0.46000, low: 0.43000, value: 0.44500, factor: 1.00000} + - {high: 0.49000, low: 0.46000, value: 0.47500, factor: 1.00000} + - {high: 0.52000, low: 0.49000, value: 0.50500, factor: 1.00000} + - {high: 0.55000, low: 0.52000, value: 0.53500, factor: 1.00000} + - {high: 0.60000, low: 0.55000, value: 0.57500, factor: 1.00000} + - {high: 0.65000, low: 0.60000, value: 0.62500, factor: 1.00000} + - {high: 0.70000, low: 0.65000, value: 0.67500, factor: 1.00000} + - {high: 0.75000, low: 0.70000, value: 0.72500, factor: 1.00000} + - {high: 0.80000, low: 0.75000, value: 0.77500, factor: 1.00000} + - {high: 0.90000, low: 0.80000, value: 0.85000, factor: 1.00000} + - {high: 1.00000, low: 0.90000, value: 0.95000, factor: 1.00000} +- header: {name: "xp"} + values: + - {high: 0.01200, low: 0.00800, value: 0.01000} + - {high: 0.02000, low: 0.01200, value: 0.01600} + - {high: 0.03000, low: 0.02000, value: 0.02500} + - {high: 0.04000, low: 0.03000, value: 0.03500} + - {high: 0.05000, low: 0.04000, value: 0.04500} + - {high: 0.06000, low: 0.05000, value: 0.05500} + - {high: 0.07000, low: 0.06000, value: 0.06500} + - {high: 0.08000, low: 0.07000, value: 0.07500} + - {high: 0.09000, low: 0.08000, value: 0.08500} + - {high: 0.10000, low: 0.09000, value: 0.09500} + - {high: 0.12000, low: 0.10000, value: 0.11000} + - {high: 0.14000, low: 0.12000, value: 0.13000} + - {high: 0.16000, low: 0.14000, value: 0.15000} + - {high: 0.18000, low: 0.16000, value: 0.17000} + - {high: 0.20000, low: 0.18000, value: 0.19000} + - {high: 0.22500, low: 0.20000, value: 0.21250} + - {high: 0.25000, low: 0.22500, value: 0.23750} + - {high: 0.27500, low: 0.25000, value: 0.26250} + - {high: 0.30000, low: 0.27500, value: 0.28750} + - {high: 0.32500, low: 0.30000, value: 0.31250} + - {high: 0.35000, low: 0.32500, value: 0.33750} + - {high: 0.37500, low: 0.35000, value: 0.36250} + - {high: 0.40000, low: 0.37500, value: 0.38750} + - {high: 0.43000, low: 0.40000, value: 0.41500} + - {high: 0.46000, low: 0.43000, value: 0.44500} + - {high: 0.49000, low: 0.46000, value: 0.47500} + - {high: 0.52000, low: 0.49000, value: 0.50500} + - {high: 0.55000, low: 0.52000, value: 0.53500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.90000, low: 0.80000, value: 0.85000} + - {high: 1.00000, low: 0.90000, value: 0.95000} diff --git a/data/DELPHI_HA_PLUS_MINUS.yaml b/data/DELPHI_HA_PLUS_MINUS.yaml new file mode 100644 index 000000000..16e428d75 --- /dev/null +++ b/data/DELPHI_HA_PLUS_MINUS.yaml @@ -0,0 +1,150 @@ +dependent_variables: +- header: {title: "DELPHI $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 0.87664} + value: 11.22 + - errors: + - {label: unc, value: 0.60033} + value: 10.95 + - errors: + - {label: unc, value: 0.28844} + value: 10.3 + - errors: + - {label: unc, value: 0.28018} + value: 9.25 + - errors: + - {label: unc, value: 0.26627} + value: 7.79 + - errors: + - {label: unc, value: 0.10280} + value: 6.36 + - errors: + - {label: unc, value: 0.10230} + value: 5.273 + - errors: + - {label: unc, value: 0.05391} + value: 4.412 + - errors: + - {label: unc, value: 0.05240} + value: 3.764 + - errors: + - {label: unc, value: 0.04104} + value: 3.018 + - errors: + - {label: unc, value: 0.03324} + value: 2.325 + - errors: + - {label: unc, value: 0.02970} + value: 1.853 + - errors: + - {label: unc, value: 0.02687} + value: 1.506 + - errors: + - {label: unc, value: 0.02476} + value: 1.253 + - errors: + - {label: unc, value: 0.02335} + value: 1.049 + - errors: + - {label: unc, value: 0.02052} + value: 0.83 + - errors: + - {label: unc, value: 0.01703} + value: 0.616 + - errors: + - {label: unc, value: 0.01421} + value: 0.471 + - errors: + - {label: unc, value: 0.01165} + value: 0.3684 + - errors: + - {label: unc, value: 0.00953} + value: 0.2907 + - errors: + - {label: unc, value: 0.00698} + value: 0.1911 + - errors: + - {label: unc, value: 0.00450} + value: 0.1159 + - errors: + - {label: unc, value: 0.00258} + value: 0.0635 + - errors: + - {label: unc, value: 0.00130} + value: 0.0273 + - errors: + - {label: unc, value: 0.00068} + value: 0.01216 + - errors: + - {label: unc, value: 0.00047} + value: 0.00384 + - errors: + - {label: unc, value: 0.00011} + value: 0.00053 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.00789, low: 0.00658, value: 0.00724, factor: 0.02193} + - {high: 0.01009, low: 0.00789, value: 0.00899, factor: 0.02193} + - {high: 0.01250, low: 0.01009, value: 0.01129, factor: 0.02193} + - {high: 0.01535, low: 0.01250, value: 0.01393, factor: 0.02193} + - {high: 0.01996, low: 0.01535, value: 0.01765, factor: 0.02193} + - {high: 0.02500, low: 0.01996, value: 0.02248, factor: 0.02193} + - {high: 0.03004, low: 0.02500, value: 0.02752, factor: 0.02193} + - {high: 0.03509, low: 0.03004, value: 0.03257, factor: 0.02193} + - {high: 0.03991, low: 0.03509, value: 0.03750, factor: 0.02193} + - {high: 0.05000, low: 0.03991, value: 0.04496, factor: 0.02193} + - {high: 0.06009, low: 0.05000, value: 0.05504, factor: 0.02193} + - {high: 0.06996, low: 0.06009, value: 0.06502, factor: 0.02193} + - {high: 0.08004, low: 0.06996, value: 0.07500, factor: 0.02193} + - {high: 0.08991, low: 0.08004, value: 0.08498, factor: 0.02193} + - {high: 0.10000, low: 0.08991, value: 0.09496, factor: 0.02193} + - {high: 0.11996, low: 0.10000, value: 0.10998, factor: 0.02193} + - {high: 0.13991, low: 0.11996, value: 0.12993, factor: 0.02193} + - {high: 0.15987, low: 0.13991, value: 0.14989, factor: 0.02193} + - {high: 0.18004, low: 0.15987, value: 0.16996, factor: 0.02193} + - {high: 0.20000, low: 0.18004, value: 0.19002, factor: 0.02193} + - {high: 0.26096, low: 0.20000, value: 0.23048, factor: 0.02193} + - {high: 0.30044, low: 0.26096, value: 0.28070, factor: 0.02193} + - {high: 0.39912, low: 0.30044, value: 0.34978, factor: 0.02193} + - {high: 0.50000, low: 0.39912, value: 0.44956, factor: 0.02193} + - {high: 0.60088, low: 0.50000, value: 0.55044, factor: 0.02193} + - {high: 0.80044, low: 0.60088, value: 0.70066, factor: 0.02193} + - {high: 1.00000, low: 0.80044, value: 0.90022, factor: 0.02193} +- header: {name: "ph"} + values: + - {high: 0.36000, low: 0.30000, value: 0.33000} + - {high: 0.46000, low: 0.36000, value: 0.41000} + - {high: 0.57000, low: 0.46000, value: 0.51500} + - {high: 0.70000, low: 0.57000, value: 0.63500} + - {high: 0.91000, low: 0.70000, value: 0.80500} + - {high: 1.14000, low: 0.91000, value: 1.02500} + - {high: 1.37000, low: 1.14000, value: 1.25500} + - {high: 1.60000, low: 1.37000, value: 1.48500} + - {high: 1.82000, low: 1.60000, value: 1.71000} + - {high: 2.28000, low: 1.82000, value: 2.05000} + - {high: 2.74000, low: 2.28000, value: 2.51000} + - {high: 3.19000, low: 2.74000, value: 2.96500} + - {high: 3.65000, low: 3.19000, value: 3.42000} + - {high: 4.10000, low: 3.65000, value: 3.87500} + - {high: 4.56000, low: 4.10000, value: 4.33000} + - {high: 5.47000, low: 4.56000, value: 5.01500} + - {high: 6.38000, low: 5.47000, value: 5.92500} + - {high: 7.29000, low: 6.38000, value: 6.83500} + - {high: 8.21000, low: 7.29000, value: 7.75000} + - {high: 9.12000, low: 8.21000, value: 8.66500} + - {high: 11.90000, low: 9.12000, value: 10.51000} + - {high: 13.70000, low: 11.90000, value: 12.80000} + - {high: 18.20000, low: 13.70000, value: 15.95000} + - {high: 22.80000, low: 18.20000, value: 20.50000} + - {high: 27.40000, low: 22.80000, value: 25.10000} + - {high: 36.50000, low: 27.40000, value: 31.95000} + - {high: 45.60000, low: 36.50000, value: 41.05000} diff --git a/data/DELPHI_HA_PLUS_MINUS_B.yaml b/data/DELPHI_HA_PLUS_MINUS_B.yaml new file mode 100644 index 000000000..8e46065c5 --- /dev/null +++ b/data/DELPHI_HA_PLUS_MINUS_B.yaml @@ -0,0 +1,151 @@ +dependent_variables: +- header: {title: "DELPHI $h^\\pm$ Multiplicity b-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [b]} + values: + - errors: + - {label: unc, value: 0.87132} + value: 12.05 + - errors: + - {label: unc, value: 0.60033} + value: 11.8 + - errors: + - {label: unc, value: 0.28844} + value: 11.23 + - errors: + - {label: unc, value: 0.28018} + value: 10.28 + - errors: + - {label: unc, value: 0.27203} + value: 8.84 + - errors: + - {label: unc, value: 0.10402} + value: 7.336 + - errors: + - {label: unc, value: 0.10230} + value: 6.159 + - errors: + - {label: unc, value: 0.05326} + value: 5.208 + - errors: + - {label: unc, value: 0.05250} + value: 4.466 + - errors: + - {label: unc, value: 0.04036} + value: 3.586 + - errors: + - {label: unc, value: 0.03189} + value: 2.806 + - errors: + - {label: unc, value: 0.02832} + value: 2.235 + - errors: + - {label: unc, value: 0.02550} + value: 1.831 + - errors: + - {label: unc, value: 0.02335} + value: 1.51 + - errors: + - {label: unc, value: 0.02193} + value: 1.259 + - errors: + - {label: unc, value: 0.01910} + value: 0.966 + - errors: + - {label: unc, value: 0.01556} + value: 0.687 + - errors: + - {label: unc, value: 0.01259} + value: 0.4967 + - errors: + - {label: unc, value: 0.01041} + value: 0.3681 + - errors: + - {label: unc, value: 0.00850} + value: 0.2764 + - errors: + - {label: unc, value: 0.00637} + value: 0.1637 + - errors: + - {label: unc, value: 0.00440} + value: 0.0882 + - errors: + - {label: unc, value: 0.00333} + value: 0.0431 + - errors: + - {label: unc, value: 0.00242} + value: 0.0152 + - errors: + - {label: unc, value: 0.00215} + value: 0.00577 + - errors: + - {label: unc, value: 0.00206} + value: 0.0012 + - errors: + - {label: unc, value: 0.00200} + value: 2.01e-05 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.00789, low: 0.00658, value: 0.00724, factor: 0.02193} + - {high: 0.01009, low: 0.00789, value: 0.00899, factor: 0.02193} + - {high: 0.01250, low: 0.01009, value: 0.01129, factor: 0.02193} + - {high: 0.01535, low: 0.01250, value: 0.01393, factor: 0.02193} + - {high: 0.01996, low: 0.01535, value: 0.01765, factor: 0.02193} + - {high: 0.02500, low: 0.01996, value: 0.02248, factor: 0.02193} + - {high: 0.03004, low: 0.02500, value: 0.02752, factor: 0.02193} + - {high: 0.03509, low: 0.03004, value: 0.03257, factor: 0.02193} + - {high: 0.03991, low: 0.03509, value: 0.03750, factor: 0.02193} + - {high: 0.05000, low: 0.03991, value: 0.04496, factor: 0.02193} + - {high: 0.06009, low: 0.05000, value: 0.05504, factor: 0.02193} + - {high: 0.06996, low: 0.06009, value: 0.06502, factor: 0.02193} + - {high: 0.08004, low: 0.06996, value: 0.07500, factor: 0.02193} + - {high: 0.08991, low: 0.08004, value: 0.08498, factor: 0.02193} + - {high: 0.10000, low: 0.08991, value: 0.09496, factor: 0.02193} + - {high: 0.11996, low: 0.10000, value: 0.10998, factor: 0.02193} + - {high: 0.13991, low: 0.11996, value: 0.12993, factor: 0.02193} + - {high: 0.15987, low: 0.13991, value: 0.14989, factor: 0.02193} + - {high: 0.18004, low: 0.15987, value: 0.16996, factor: 0.02193} + - {high: 0.20000, low: 0.18004, value: 0.19002, factor: 0.02193} + - {high: 0.26096, low: 0.20000, value: 0.23048, factor: 0.02193} + - {high: 0.30044, low: 0.26096, value: 0.28070, factor: 0.02193} + - {high: 0.39912, low: 0.30044, value: 0.34978, factor: 0.02193} + - {high: 0.50000, low: 0.39912, value: 0.44956, factor: 0.02193} + - {high: 0.60088, low: 0.50000, value: 0.55044, factor: 0.02193} + - {high: 0.80044, low: 0.60088, value: 0.70066, factor: 0.02193} + - {high: 1.00000, low: 0.80044, value: 0.90022, factor: 0.02193} +- header: {name: "ph"} + values: + - {high: 0.36000, low: 0.30000, value: 0.33000} + - {high: 0.46000, low: 0.36000, value: 0.41000} + - {high: 0.57000, low: 0.46000, value: 0.51500} + - {high: 0.70000, low: 0.57000, value: 0.63500} + - {high: 0.91000, low: 0.70000, value: 0.80500} + - {high: 1.14000, low: 0.91000, value: 1.02500} + - {high: 1.37000, low: 1.14000, value: 1.25500} + - {high: 1.60000, low: 1.37000, value: 1.48500} + - {high: 1.82000, low: 1.60000, value: 1.71000} + - {high: 2.28000, low: 1.82000, value: 2.05000} + - {high: 2.74000, low: 2.28000, value: 2.51000} + - {high: 3.19000, low: 2.74000, value: 2.96500} + - {high: 3.65000, low: 3.19000, value: 3.42000} + - {high: 4.10000, low: 3.65000, value: 3.87500} + - {high: 4.56000, low: 4.10000, value: 4.33000} + - {high: 5.47000, low: 4.56000, value: 5.01500} + - {high: 6.38000, low: 5.47000, value: 5.92500} + - {high: 7.29000, low: 6.38000, value: 6.83500} + - {high: 8.21000, low: 7.29000, value: 7.75000} + - {high: 9.12000, low: 8.21000, value: 8.66500} + - {high: 11.90000, low: 9.12000, value: 10.51000} + - {high: 13.70000, low: 11.90000, value: 12.80000} + - {high: 18.20000, low: 13.70000, value: 15.95000} + - {high: 22.80000, low: 18.20000, value: 20.50000} + - {high: 27.40000, low: 22.80000, value: 25.10000} + - {high: 36.50000, low: 27.40000, value: 31.95000} + - {high: 45.60000, low: 36.50000, value: 41.05000} diff --git a/data/DELPHI_HA_PLUS_MINUS_UDS.yaml b/data/DELPHI_HA_PLUS_MINUS_UDS.yaml new file mode 100644 index 000000000..ed72507eb --- /dev/null +++ b/data/DELPHI_HA_PLUS_MINUS_UDS.yaml @@ -0,0 +1,151 @@ +dependent_variables: +- header: {title: "DELPHI $h^\\pm$ Multiplicity uds-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [u,d,s]} + values: + - errors: + - {label: unc, value: 0.87664} + value: 10.97 + - errors: + - {label: unc, value: 0.60539} + value: 10.69 + - errors: + - {label: unc, value: 0.28844} + value: 10.02 + - errors: + - {label: unc, value: 0.28018} + value: 8.95 + - errors: + - {label: unc, value: 0.26627} + value: 7.46 + - errors: + - {label: unc, value: 0.10220} + value: 6.046 + - errors: + - {label: unc, value: 0.10104} + value: 4.966 + - errors: + - {label: unc, value: 0.05326} + value: 4.124 + - errors: + - {label: unc, value: 0.05250} + value: 3.506 + - errors: + - {label: unc, value: 0.04104} + value: 2.801 + - errors: + - {label: unc, value: 0.03324} + value: 2.141 + - errors: + - {label: unc, value: 0.02970} + value: 1.708 + - errors: + - {label: unc, value: 0.02687} + value: 1.39 + - errors: + - {label: unc, value: 0.02476} + value: 1.156 + - errors: + - {label: unc, value: 0.02335} + value: 0.968 + - errors: + - {label: unc, value: 0.02052} + value: 0.774 + - errors: + - {label: unc, value: 0.01703} + value: 0.581 + - errors: + - {label: unc, value: 0.01421} + value: 0.451 + - errors: + - {label: unc, value: 0.01207} + value: 0.3597 + - errors: + - {label: unc, value: 0.00987} + value: 0.2877 + - errors: + - {label: unc, value: 0.00747} + value: 0.1948 + - errors: + - {label: unc, value: 0.00510} + value: 0.1232 + - errors: + - {label: unc, value: 0.00347} + value: 0.0707 + - errors: + - {label: unc, value: 0.00247} + value: 0.0324 + - errors: + - {label: unc, value: 0.00217} + value: 0.01528 + - errors: + - {label: unc, value: 0.00210} + value: 0.0053 + - errors: + - {label: unc, value: 0.00201} + value: 0.00079 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.00789, low: 0.00658, value: 0.00724, factor: 0.02193} + - {high: 0.01009, low: 0.00789, value: 0.00899, factor: 0.02193} + - {high: 0.01250, low: 0.01009, value: 0.01129, factor: 0.02193} + - {high: 0.01535, low: 0.01250, value: 0.01393, factor: 0.02193} + - {high: 0.01996, low: 0.01535, value: 0.01765, factor: 0.02193} + - {high: 0.02500, low: 0.01996, value: 0.02248, factor: 0.02193} + - {high: 0.03004, low: 0.02500, value: 0.02752, factor: 0.02193} + - {high: 0.03509, low: 0.03004, value: 0.03257, factor: 0.02193} + - {high: 0.03991, low: 0.03509, value: 0.03750, factor: 0.02193} + - {high: 0.05000, low: 0.03991, value: 0.04496, factor: 0.02193} + - {high: 0.06009, low: 0.05000, value: 0.05504, factor: 0.02193} + - {high: 0.06996, low: 0.06009, value: 0.06502, factor: 0.02193} + - {high: 0.08004, low: 0.06996, value: 0.07500, factor: 0.02193} + - {high: 0.08991, low: 0.08004, value: 0.08498, factor: 0.02193} + - {high: 0.10000, low: 0.08991, value: 0.09496, factor: 0.02193} + - {high: 0.11996, low: 0.10000, value: 0.10998, factor: 0.02193} + - {high: 0.13991, low: 0.11996, value: 0.12993, factor: 0.02193} + - {high: 0.15987, low: 0.13991, value: 0.14989, factor: 0.02193} + - {high: 0.18004, low: 0.15987, value: 0.16996, factor: 0.02193} + - {high: 0.20000, low: 0.18004, value: 0.19002, factor: 0.02193} + - {high: 0.26096, low: 0.20000, value: 0.23048, factor: 0.02193} + - {high: 0.30044, low: 0.26096, value: 0.28070, factor: 0.02193} + - {high: 0.39912, low: 0.30044, value: 0.34978, factor: 0.02193} + - {high: 0.50000, low: 0.39912, value: 0.44956, factor: 0.02193} + - {high: 0.60088, low: 0.50000, value: 0.55044, factor: 0.02193} + - {high: 0.80044, low: 0.60088, value: 0.70066, factor: 0.02193} + - {high: 1.00000, low: 0.80044, value: 0.90022, factor: 0.02193} +- header: {name: "ph"} + values: + - {high: 0.36000, low: 0.30000, value: 0.33000} + - {high: 0.46000, low: 0.36000, value: 0.41000} + - {high: 0.57000, low: 0.46000, value: 0.51500} + - {high: 0.70000, low: 0.57000, value: 0.63500} + - {high: 0.91000, low: 0.70000, value: 0.80500} + - {high: 1.14000, low: 0.91000, value: 1.02500} + - {high: 1.37000, low: 1.14000, value: 1.25500} + - {high: 1.60000, low: 1.37000, value: 1.48500} + - {high: 1.82000, low: 1.60000, value: 1.71000} + - {high: 2.28000, low: 1.82000, value: 2.05000} + - {high: 2.74000, low: 2.28000, value: 2.51000} + - {high: 3.19000, low: 2.74000, value: 2.96500} + - {high: 3.65000, low: 3.19000, value: 3.42000} + - {high: 4.10000, low: 3.65000, value: 3.87500} + - {high: 4.56000, low: 4.10000, value: 4.33000} + - {high: 5.47000, low: 4.56000, value: 5.01500} + - {high: 6.38000, low: 5.47000, value: 5.92500} + - {high: 7.29000, low: 6.38000, value: 6.83500} + - {high: 8.21000, low: 7.29000, value: 7.75000} + - {high: 9.12000, low: 8.21000, value: 8.66500} + - {high: 11.90000, low: 9.12000, value: 10.51000} + - {high: 13.70000, low: 11.90000, value: 12.80000} + - {high: 18.20000, low: 13.70000, value: 15.95000} + - {high: 22.80000, low: 18.20000, value: 20.50000} + - {high: 27.40000, low: 22.80000, value: 25.10000} + - {high: 36.50000, low: 27.40000, value: 31.95000} + - {high: 45.60000, low: 36.50000, value: 41.05000} diff --git a/data/OPAL_HA_PLUS_MINUS.yaml b/data/OPAL_HA_PLUS_MINUS.yaml new file mode 100644 index 000000000..39086c3ef --- /dev/null +++ b/data/OPAL_HA_PLUS_MINUS.yaml @@ -0,0 +1,101 @@ +dependent_variables: +- header: {title: "OPAL $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 7.40608} + value: 401.2 + - errors: + - {label: unc, value: 4.90408} + value: 401.6 + - errors: + - {label: unc, value: 3.90512} + value: 262.8 + - errors: + - {label: unc, value: 2.90689} + value: 185.5 + - errors: + - {label: unc, value: 2.10238} + value: 137.5 + - errors: + - {label: unc, value: 1.60312} + value: 106.2 + - errors: + - {label: unc, value: 1.20416} + value: 84.5 + - errors: + - {label: unc, value: 0.90554} + value: 68.3 + - errors: + - {label: unc, value: 0.70711} + value: 57.9 + - errors: + - {label: unc, value: 0.60828} + value: 47.9 + - errors: + - {label: unc, value: 0.42297} + value: 38.19 + - errors: + - {label: unc, value: 0.28284} + value: 28.3 + - errors: + - {label: unc, value: 0.19235} + value: 21.88 + - errors: + - {label: unc, value: 0.16279} + value: 17.1 + - errors: + - {label: unc, value: 0.14318} + value: 13.54 + - errors: + - {label: unc, value: 0.11045} + value: 9.37 + - errors: + - {label: unc, value: 0.08062} + value: 5.66 + - errors: + - {label: unc, value: 0.05099} + value: 2.89 + - errors: + - {label: unc, value: 0.03622} + value: 1.208 + - errors: + - {label: unc, value: 0.01811} + value: 0.506 + - errors: + - {label: unc, value: 0.01204} + value: 0.153 + - errors: + - {label: unc, value: 0.00441} + value: 0.0199 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01000, low: 0.00000, value: 0.00500, factor: 1.00000} + - {high: 0.02000, low: 0.01000, value: 0.01500, factor: 1.00000} + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.07000, low: 0.06000, value: 0.06500, factor: 1.00000} + - {high: 0.08000, low: 0.07000, value: 0.07500, factor: 1.00000} + - {high: 0.09000, low: 0.08000, value: 0.08500, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.40000, low: 0.30000, value: 0.35000, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.80000, low: 0.60000, value: 0.70000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} diff --git a/data/SLD_HA_PLUS_MINUS.yaml b/data/SLD_HA_PLUS_MINUS.yaml new file mode 100644 index 000000000..ab609e944 --- /dev/null +++ b/data/SLD_HA_PLUS_MINUS.yaml @@ -0,0 +1,215 @@ +dependent_variables: +- header: {title: "SLD $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.28 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.01715 , high: 1.0 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 0.20890} + value: 11.166 + - errors: + - {label: unc, value: 0.17414} + value: 11.271 + - errors: + - {label: unc, value: 0.14690} + value: 10.646 + - errors: + - {label: unc, value: 0.12478} + value: 9.724 + - errors: + - {label: unc, value: 0.10756} + value: 8.744 + - errors: + - {label: unc, value: 0.08571} + value: 7.364 + - errors: + - {label: unc, value: 0.06447} + value: 5.86 + - errors: + - {label: unc, value: 0.05109} + value: 4.775 + - errors: + - {label: unc, value: 0.04225} + value: 3.962 + - errors: + - {label: unc, value: 0.03607} + value: 3.36 + - errors: + - {label: unc, value: 0.03064} + value: 2.865 + - errors: + - {label: unc, value: 0.02644} + value: 2.488 + - errors: + - {label: unc, value: 0.02315} + value: 2.173 + - errors: + - {label: unc, value: 0.02032} + value: 1.92 + - errors: + - {label: unc, value: 0.01797} + value: 1.701 + - errors: + - {label: unc, value: 0.01609} + value: 1.53 + - errors: + - {label: unc, value: 0.01500} + value: 1.378 + - errors: + - {label: unc, value: 0.01407} + value: 1.244 + - errors: + - {label: unc, value: 0.01145} + value: 1.072 + - errors: + - {label: unc, value: 0.00954} + value: 0.894 + - errors: + - {label: unc, value: 0.00860} + value: 0.754 + - errors: + - {label: unc, value: 0.00640} + value: 0.6 + - errors: + - {label: unc, value: 0.00512} + value: 0.4502 + - errors: + - {label: unc, value: 0.00409} + value: 0.3429 + - errors: + - {label: unc, value: 0.00340} + value: 0.2687 + - errors: + - {label: unc, value: 0.00279} + value: 0.212 + - errors: + - {label: unc, value: 0.00239} + value: 0.17 + - errors: + - {label: unc, value: 0.00197} + value: 0.1351 + - errors: + - {label: unc, value: 0.00175} + value: 0.1103 + - errors: + - {label: unc, value: 0.00144} + value: 0.0889 + - errors: + - {label: unc, value: 0.00121} + value: 0.0688 + - errors: + - {label: unc, value: 0.00099} + value: 0.0513 + - errors: + - {label: unc, value: 0.00077} + value: 0.0383 + - errors: + - {label: unc, value: 0.00068} + value: 0.0291 + - errors: + - {label: unc, value: 0.00059} + value: 0.0221 + - errors: + - {label: unc, value: 0.00046} + value: 0.0159 + - errors: + - {label: unc, value: 0.00033} + value: 0.0105 + - errors: + - {label: unc, value: 0.00024} + value: 0.0063 + - errors: + - {label: unc, value: 0.00014} + value: 0.0025 + - errors: + - {label: unc, value: 0.00010} + value: 0.0005 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.00767, low: 0.00548, value: 0.00657, factor: 0.02191} + - {high: 0.00986, low: 0.00767, value: 0.00876, factor: 0.02191} + - {high: 0.01205, low: 0.00986, value: 0.01093, factor: 0.02191} + - {high: 0.01424, low: 0.01205, value: 0.01312, factor: 0.02191} + - {high: 0.01643, low: 0.01424, value: 0.01532, factor: 0.02191} + - {high: 0.02191, low: 0.01643, value: 0.01906, factor: 0.02191} + - {high: 0.02739, low: 0.02191, value: 0.02456, factor: 0.02191} + - {high: 0.03287, low: 0.02739, value: 0.03004, factor: 0.02191} + - {high: 0.03834, low: 0.03287, value: 0.03554, factor: 0.02191} + - {high: 0.04382, low: 0.03834, value: 0.04102, factor: 0.02191} + - {high: 0.04930, low: 0.04382, value: 0.04649, factor: 0.02191} + - {high: 0.05478, low: 0.04930, value: 0.05204, factor: 0.02191} + - {high: 0.06025, low: 0.05478, value: 0.05752, factor: 0.02191} + - {high: 0.06573, low: 0.06025, value: 0.06299, factor: 0.02191} + - {high: 0.07121, low: 0.06573, value: 0.06847, factor: 0.02191} + - {high: 0.07669, low: 0.07121, value: 0.07395, factor: 0.02191} + - {high: 0.08216, low: 0.07669, value: 0.07943, factor: 0.02191} + - {high: 0.08764, low: 0.08216, value: 0.08490, factor: 0.02191} + - {high: 0.09860, low: 0.08764, value: 0.09299, factor: 0.02191} + - {high: 0.10955, low: 0.09860, value: 0.10394, factor: 0.02191} + - {high: 0.12051, low: 0.10955, value: 0.11490, factor: 0.02191} + - {high: 0.14242, low: 0.12051, value: 0.13092, factor: 0.02191} + - {high: 0.16433, low: 0.14242, value: 0.15287, factor: 0.02191} + - {high: 0.18624, low: 0.16433, value: 0.17485, factor: 0.02191} + - {high: 0.20815, low: 0.18624, value: 0.19680, factor: 0.02191} + - {high: 0.23006, low: 0.20815, value: 0.21867, factor: 0.02191} + - {high: 0.25197, low: 0.23006, value: 0.24080, factor: 0.02191} + - {high: 0.27388, low: 0.25197, value: 0.26271, factor: 0.02191} + - {high: 0.29579, low: 0.27388, value: 0.28462, factor: 0.02191} + - {high: 0.31770, low: 0.29579, value: 0.30653, factor: 0.02191} + - {high: 0.35057, low: 0.31770, value: 0.33348, factor: 0.02191} + - {high: 0.38344, low: 0.35057, value: 0.36635, factor: 0.02191} + - {high: 0.41630, low: 0.38344, value: 0.39943, factor: 0.02191} + - {high: 0.44917, low: 0.41630, value: 0.43208, factor: 0.02191} + - {high: 0.48203, low: 0.44917, value: 0.46472, factor: 0.02191} + - {high: 0.52585, low: 0.48203, value: 0.50307, factor: 0.02191} + - {high: 0.56968, low: 0.52585, value: 0.54645, factor: 0.02191} + - {high: 0.65732, low: 0.56968, value: 0.60780, factor: 0.02191} + - {high: 0.76687, low: 0.65732, value: 0.70421, factor: 0.02191} + - {high: 0.98598, low: 0.76687, value: 0.83764, factor: 0.02191} +- header: {name: "ph"} + values: + - {high: 0.35000, low: 0.25000, value: 0.30000} + - {high: 0.45000, low: 0.35000, value: 0.40000} + - {high: 0.55000, low: 0.45000, value: 0.49900} + - {high: 0.65000, low: 0.55000, value: 0.59900} + - {high: 0.75000, low: 0.65000, value: 0.69900} + - {high: 1.00000, low: 0.75000, value: 0.87000} + - {high: 1.25000, low: 1.00000, value: 1.12100} + - {high: 1.50000, low: 1.25000, value: 1.37100} + - {high: 1.75000, low: 1.50000, value: 1.62200} + - {high: 2.00000, low: 1.75000, value: 1.87200} + - {high: 2.25000, low: 2.00000, value: 2.12200} + - {high: 2.50000, low: 2.25000, value: 2.37500} + - {high: 2.75000, low: 2.50000, value: 2.62500} + - {high: 3.00000, low: 2.75000, value: 2.87500} + - {high: 3.25000, low: 3.00000, value: 3.12500} + - {high: 3.50000, low: 3.25000, value: 3.37500} + - {high: 3.75000, low: 3.50000, value: 3.62500} + - {high: 4.00000, low: 3.75000, value: 3.87500} + - {high: 4.50000, low: 4.00000, value: 4.24400} + - {high: 5.00000, low: 4.50000, value: 4.74400} + - {high: 5.50000, low: 5.00000, value: 5.24400} + - {high: 6.50000, low: 5.50000, value: 5.97500} + - {high: 7.50000, low: 6.50000, value: 6.97700} + - {high: 8.50000, low: 7.50000, value: 7.98000} + - {high: 9.50000, low: 8.50000, value: 8.98200} + - {high: 10.50000, low: 9.50000, value: 9.98000} + - {high: 11.50000, low: 10.50000, value: 10.99000} + - {high: 12.50000, low: 11.50000, value: 11.99000} + - {high: 13.50000, low: 12.50000, value: 12.99000} + - {high: 14.50000, low: 13.50000, value: 13.99000} + - {high: 16.00000, low: 14.50000, value: 15.22000} + - {high: 17.50000, low: 16.00000, value: 16.72000} + - {high: 19.00000, low: 17.50000, value: 18.23000} + - {high: 20.50000, low: 19.00000, value: 19.72000} + - {high: 22.00000, low: 20.50000, value: 21.21000} + - {high: 24.00000, low: 22.00000, value: 22.96000} + - {high: 26.00000, low: 24.00000, value: 24.94000} + - {high: 30.00000, low: 26.00000, value: 27.74000} + - {high: 35.00000, low: 30.00000, value: 32.14000} + - {high: 45.00000, low: 35.00000, value: 38.23000} diff --git a/data/SLD_HA_PLUS_MINUS_B.yaml b/data/SLD_HA_PLUS_MINUS_B.yaml new file mode 100644 index 000000000..a53617353 --- /dev/null +++ b/data/SLD_HA_PLUS_MINUS_B.yaml @@ -0,0 +1,174 @@ +dependent_variables: +- header: {title: "SLD $h^\\pm$ Multiplicity b-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.28 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.01715 , high: 1.0 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [b]} + values: + - errors: + - {label: unc, value: 14.20000} + value: 546.1 + - errors: + - {label: unc, value: 10.30000} + value: 558.5 + - errors: + - {label: unc, value: 8.00000} + value: 531.9 + - errors: + - {label: unc, value: 6.30000} + value: 490.8 + - errors: + - {label: unc, value: 6.70000} + value: 436.5 + - errors: + - {label: unc, value: 4.40000} + value: 382.8 + - errors: + - {label: unc, value: 3.40000} + value: 308.6 + - errors: + - {label: unc, value: 2.60000} + value: 254.8 + - errors: + - {label: unc, value: 2.10000} + value: 213.2 + - errors: + - {label: unc, value: 1.90000} + value: 182.1 + - errors: + - {label: unc, value: 1.70000} + value: 154.5 + - errors: + - {label: unc, value: 1.60000} + value: 134.3 + - errors: + - {label: unc, value: 1.40000} + value: 118.6 + - errors: + - {label: unc, value: 1.30000} + value: 102.4 + - errors: + - {label: unc, value: 1.22000} + value: 91.92 + - errors: + - {label: unc, value: 1.14000} + value: 83.63 + - errors: + - {label: unc, value: 1.10000} + value: 75.06 + - errors: + - {label: unc, value: 1.04000} + value: 66.58 + - errors: + - {label: unc, value: 0.74000} + value: 57.31 + - errors: + - {label: unc, value: 0.71000} + value: 47.8 + - errors: + - {label: unc, value: 0.67000} + value: 39.19 + - errors: + - {label: unc, value: 0.48000} + value: 29.54 + - errors: + - {label: unc, value: 0.48000} + value: 20.69 + - errors: + - {label: unc, value: 0.55000} + value: 15.36 + - errors: + - {label: unc, value: 0.26000} + value: 10.65 + - errors: + - {label: unc, value: 0.20000} + value: 8.06 + - errors: + - {label: unc, value: 0.16000} + value: 6.28 + - errors: + - {label: unc, value: 0.13000} + value: 4.69 + - errors: + - {label: unc, value: 0.11000} + value: 3.49 + - errors: + - {label: unc, value: 0.09800} + value: 2.935 + - errors: + - {label: unc, value: 0.06800} + value: 2.041 + - errors: + - {label: unc, value: 0.05800} + value: 1.534 + - errors: + - {label: unc, value: 0.05100} + value: 1.111 + - errors: + - {label: unc, value: 0.04200} + value: 0.736 + - errors: + - {label: unc, value: 0.03700} + value: 0.51 + - errors: + - {label: unc, value: 0.02700} + value: 0.33 + - errors: + - {label: unc, value: 0.02200} + value: 0.188 + - errors: + - {label: unc, value: 0.01200} + value: 0.089 + - errors: + - {label: unc, value: 0.00600} + value: 0.017 + - errors: + - {label: unc, value: 0.00200} + value: 0.003 +independent_variables: +- header: {name: "z"} + values: + - {value: 0.00660, factor: 1.00000} + - {value: 0.00880, factor: 1.00000} + - {value: 0.01090, factor: 1.00000} + - {value: 0.01310, factor: 1.00000} + - {value: 0.01530, factor: 1.00000} + - {value: 0.01910, factor: 1.00000} + - {value: 0.02460, factor: 1.00000} + - {value: 0.03010, factor: 1.00000} + - {value: 0.03560, factor: 1.00000} + - {value: 0.04110, factor: 1.00000} + - {value: 0.04650, factor: 1.00000} + - {value: 0.05210, factor: 1.00000} + - {value: 0.05760, factor: 1.00000} + - {value: 0.06300, factor: 1.00000} + - {value: 0.06850, factor: 1.00000} + - {value: 0.07400, factor: 1.00000} + - {value: 0.07950, factor: 1.00000} + - {value: 0.08500, factor: 1.00000} + - {value: 0.09310, factor: 1.00000} + - {value: 0.10400, factor: 1.00000} + - {value: 0.11500, factor: 1.00000} + - {value: 0.13100, factor: 1.00000} + - {value: 0.15300, factor: 1.00000} + - {value: 0.17500, factor: 1.00000} + - {value: 0.19700, factor: 1.00000} + - {value: 0.21890, factor: 1.00000} + - {value: 0.24100, factor: 1.00000} + - {value: 0.26290, factor: 1.00000} + - {value: 0.28490, factor: 1.00000} + - {value: 0.30680, factor: 1.00000} + - {value: 0.33380, factor: 1.00000} + - {value: 0.36660, factor: 1.00000} + - {value: 0.39970, factor: 1.00000} + - {value: 0.43250, factor: 1.00000} + - {value: 0.46510, factor: 1.00000} + - {value: 0.50350, factor: 1.00000} + - {value: 0.54700, factor: 1.00000} + - {value: 0.60830, factor: 1.00000} + - {value: 0.70470, factor: 1.00000} + - {value: 0.83830, factor: 1.00000} diff --git a/data/SLD_HA_PLUS_MINUS_C.yaml b/data/SLD_HA_PLUS_MINUS_C.yaml new file mode 100644 index 000000000..67d1a0dce --- /dev/null +++ b/data/SLD_HA_PLUS_MINUS_C.yaml @@ -0,0 +1,174 @@ +dependent_variables: +- header: {title: "SLD $h^\\pm$ Multiplicity c-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.28 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.01715 , high: 1.0 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [c]} + values: + - errors: + - {label: unc, value: 25.30000} + value: 468.7 + - errors: + - {label: unc, value: 22.60000} + value: 485.4 + - errors: + - {label: unc, value: 20.20000} + value: 507.2 + - errors: + - {label: unc, value: 17.60000} + value: 464.0 + - errors: + - {label: unc, value: 16.90000} + value: 422.9 + - errors: + - {label: unc, value: 12.70000} + value: 349.1 + - errors: + - {label: unc, value: 9.50000} + value: 274.1 + - errors: + - {label: unc, value: 7.30000} + value: 231.5 + - errors: + - {label: unc, value: 6.90000} + value: 187.5 + - errors: + - {label: unc, value: 5.20000} + value: 162.3 + - errors: + - {label: unc, value: 4.20000} + value: 136.6 + - errors: + - {label: unc, value: 3.60000} + value: 117.3 + - errors: + - {label: unc, value: 3.00000} + value: 99.1 + - errors: + - {label: unc, value: 2.65000} + value: 89.21 + - errors: + - {label: unc, value: 2.42000} + value: 78.25 + - errors: + - {label: unc, value: 2.23000} + value: 69.26 + - errors: + - {label: unc, value: 2.06000} + value: 62.25 + - errors: + - {label: unc, value: 1.93000} + value: 55.28 + - errors: + - {label: unc, value: 1.42000} + value: 49.14 + - errors: + - {label: unc, value: 1.29000} + value: 40.11 + - errors: + - {label: unc, value: 1.22000} + value: 35.64 + - errors: + - {label: unc, value: 0.83000} + value: 28.94 + - errors: + - {label: unc, value: 0.86000} + value: 21.99 + - errors: + - {label: unc, value: 1.03000} + value: 16.51 + - errors: + - {label: unc, value: 0.50000} + value: 12.69 + - errors: + - {label: unc, value: 0.40000} + value: 10.41 + - errors: + - {label: unc, value: 0.32000} + value: 7.86 + - errors: + - {label: unc, value: 0.28000} + value: 6.37 + - errors: + - {label: unc, value: 0.24100} + value: 5.06 + - errors: + - {label: unc, value: 0.21000} + value: 4.08 + - errors: + - {label: unc, value: 0.15600} + value: 3.123 + - errors: + - {label: unc, value: 0.12600} + value: 2.141 + - errors: + - {label: unc, value: 0.10600} + value: 1.472 + - errors: + - {label: unc, value: 0.09000} + value: 0.952 + - errors: + - {label: unc, value: 0.08500} + value: 0.935 + - errors: + - {label: unc, value: 0.06100} + value: 0.485 + - errors: + - {label: unc, value: 0.05500} + value: 0.372 + - errors: + - {label: unc, value: 0.03100} + value: 0.14 + - errors: + - {label: unc, value: 0.01600} + value: 0.027 + - errors: + - {label: unc, value: 0.01000} + value: 0.011 +independent_variables: +- header: {name: "z"} + values: + - {value: 0.00660, factor: 1.00000} + - {value: 0.00880, factor: 1.00000} + - {value: 0.01090, factor: 1.00000} + - {value: 0.01310, factor: 1.00000} + - {value: 0.01530, factor: 1.00000} + - {value: 0.01910, factor: 1.00000} + - {value: 0.02460, factor: 1.00000} + - {value: 0.03010, factor: 1.00000} + - {value: 0.03560, factor: 1.00000} + - {value: 0.04110, factor: 1.00000} + - {value: 0.04650, factor: 1.00000} + - {value: 0.05210, factor: 1.00000} + - {value: 0.05760, factor: 1.00000} + - {value: 0.06300, factor: 1.00000} + - {value: 0.06850, factor: 1.00000} + - {value: 0.07400, factor: 1.00000} + - {value: 0.07950, factor: 1.00000} + - {value: 0.08500, factor: 1.00000} + - {value: 0.09310, factor: 1.00000} + - {value: 0.10400, factor: 1.00000} + - {value: 0.11500, factor: 1.00000} + - {value: 0.13100, factor: 1.00000} + - {value: 0.15300, factor: 1.00000} + - {value: 0.17500, factor: 1.00000} + - {value: 0.19700, factor: 1.00000} + - {value: 0.21890, factor: 1.00000} + - {value: 0.24100, factor: 1.00000} + - {value: 0.26290, factor: 1.00000} + - {value: 0.28490, factor: 1.00000} + - {value: 0.30680, factor: 1.00000} + - {value: 0.33380, factor: 1.00000} + - {value: 0.36660, factor: 1.00000} + - {value: 0.39970, factor: 1.00000} + - {value: 0.43250, factor: 1.00000} + - {value: 0.46510, factor: 1.00000} + - {value: 0.50350, factor: 1.00000} + - {value: 0.54700, factor: 1.00000} + - {value: 0.60830, factor: 1.00000} + - {value: 0.70470, factor: 1.00000} + - {value: 0.83830, factor: 1.00000} diff --git a/data/SLD_HA_PLUS_MINUS_UDS.yaml b/data/SLD_HA_PLUS_MINUS_UDS.yaml new file mode 100644 index 000000000..7c0199bc8 --- /dev/null +++ b/data/SLD_HA_PLUS_MINUS_UDS.yaml @@ -0,0 +1,174 @@ +dependent_variables: +- header: {title: "SLD $h^\\pm$ Multiplicity uds-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.28 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.01715 , high: 1.0 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [u,d,s]} + values: + - errors: + - {label: unc, value: 11.90000} + value: 507.8 + - errors: + - {label: unc, value: 9.20000} + value: 505.2 + - errors: + - {label: unc, value: 7.50000} + value: 465.3 + - errors: + - {label: unc, value: 6.30000} + value: 421.9 + - errors: + - {label: unc, value: 5.80000} + value: 371.7 + - errors: + - {label: unc, value: 4.20000} + value: 315.5 + - errors: + - {label: unc, value: 3.20000} + value: 250.5 + - errors: + - {label: unc, value: 2.30000} + value: 200.3 + - errors: + - {label: unc, value: 2.00000} + value: 167.3 + - errors: + - {label: unc, value: 1.60000} + value: 140.4 + - errors: + - {label: unc, value: 1.30000} + value: 121.2 + - errors: + - {label: unc, value: 1.10000} + value: 105.5 + - errors: + - {label: unc, value: 1.00000} + value: 91.2 + - errors: + - {label: unc, value: 0.89000} + value: 81.29 + - errors: + - {label: unc, value: 0.81000} + value: 72.69 + - errors: + - {label: unc, value: 0.76000} + value: 65.92 + - errors: + - {label: unc, value: 0.70000} + value: 58.06 + - errors: + - {label: unc, value: 0.66000} + value: 53.26 + - errors: + - {label: unc, value: 0.48000} + value: 45.37 + - errors: + - {label: unc, value: 0.43000} + value: 38.55 + - errors: + - {label: unc, value: 0.41000} + value: 32.84 + - errors: + - {label: unc, value: 0.28000} + value: 26.05 + - errors: + - {label: unc, value: 0.29000} + value: 19.79 + - errors: + - {label: unc, value: 0.35000} + value: 15.75 + - errors: + - {label: unc, value: 0.17000} + value: 12.16 + - errors: + - {label: unc, value: 0.14000} + value: 10.27 + - errors: + - {label: unc, value: 0.11000} + value: 8.14 + - errors: + - {label: unc, value: 0.10000} + value: 6.62 + - errors: + - {label: unc, value: 0.08700} + value: 5.565 + - errors: + - {label: unc, value: 0.07600} + value: 4.428 + - errors: + - {label: unc, value: 0.05700} + value: 3.588 + - errors: + - {label: unc, value: 0.04900} + value: 2.706 + - errors: + - {label: unc, value: 0.04200} + value: 2.062 + - errors: + - {label: unc, value: 0.03700} + value: 1.631 + - errors: + - {label: unc, value: 0.03400} + value: 1.193 + - errors: + - {label: unc, value: 0.02600} + value: 0.912 + - errors: + - {label: unc, value: 0.02300} + value: 0.632 + - errors: + - {label: unc, value: 0.01500} + value: 0.398 + - errors: + - {label: unc, value: 0.01100} + value: 0.172 + - errors: + - {label: unc, value: 0.00500} + value: 0.027 +independent_variables: +- header: {name: "z"} + values: + - {value: 0.00660, factor: 1.00000} + - {value: 0.00880, factor: 1.00000} + - {value: 0.01090, factor: 1.00000} + - {value: 0.01310, factor: 1.00000} + - {value: 0.01530, factor: 1.00000} + - {value: 0.01910, factor: 1.00000} + - {value: 0.02460, factor: 1.00000} + - {value: 0.03010, factor: 1.00000} + - {value: 0.03560, factor: 1.00000} + - {value: 0.04110, factor: 1.00000} + - {value: 0.04650, factor: 1.00000} + - {value: 0.05210, factor: 1.00000} + - {value: 0.05760, factor: 1.00000} + - {value: 0.06300, factor: 1.00000} + - {value: 0.06850, factor: 1.00000} + - {value: 0.07400, factor: 1.00000} + - {value: 0.07950, factor: 1.00000} + - {value: 0.08500, factor: 1.00000} + - {value: 0.09310, factor: 1.00000} + - {value: 0.10400, factor: 1.00000} + - {value: 0.11500, factor: 1.00000} + - {value: 0.13100, factor: 1.00000} + - {value: 0.15300, factor: 1.00000} + - {value: 0.17500, factor: 1.00000} + - {value: 0.19700, factor: 1.00000} + - {value: 0.21890, factor: 1.00000} + - {value: 0.24100, factor: 1.00000} + - {value: 0.26290, factor: 1.00000} + - {value: 0.28490, factor: 1.00000} + - {value: 0.30680, factor: 1.00000} + - {value: 0.33380, factor: 1.00000} + - {value: 0.36660, factor: 1.00000} + - {value: 0.39970, factor: 1.00000} + - {value: 0.43250, factor: 1.00000} + - {value: 0.46510, factor: 1.00000} + - {value: 0.50350, factor: 1.00000} + - {value: 0.54700, factor: 1.00000} + - {value: 0.60830, factor: 1.00000} + - {value: 0.70470, factor: 1.00000} + - {value: 0.83830, factor: 1.00000} diff --git a/data/TASSO_14_HA_PLUS_MINUS.yaml b/data/TASSO_14_HA_PLUS_MINUS.yaml new file mode 100644 index 000000000..2efa4b3cb --- /dev/null +++ b/data/TASSO_14_HA_PLUS_MINUS.yaml @@ -0,0 +1,115 @@ +dependent_variables: +- header: {title: "TASSO14 $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 14.0 ,units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 1.70000} + value: 47.2 + - errors: + - {label: unc, value: 3.60000} + value: 56.5 + - errors: + - {label: unc, value: 2.10000} + value: 66.3 + - errors: + - {label: unc, value: 2.70000} + value: 62.9 + - errors: + - {label: unc, value: 2.30000} + value: 58.0 + - errors: + - {label: unc, value: 1.70000} + value: 44.9 + - errors: + - {label: unc, value: 1.30000} + value: 36.1 + - errors: + - {label: unc, value: 1.00000} + value: 29.4 + - errors: + - {label: unc, value: 0.96000} + value: 22.05 + - errors: + - {label: unc, value: 1.70000} + value: 18.9 + - errors: + - {label: unc, value: 0.95000} + value: 16.01 + - errors: + - {label: unc, value: 0.42000} + value: 11.58 + - errors: + - {label: unc, value: 0.48000} + value: 7.44 + - errors: + - {label: unc, value: 0.30000} + value: 5.28 + - errors: + - {label: unc, value: 0.35000} + value: 3.15 + - errors: + - {label: unc, value: 0.11000} + value: 1.75 + - errors: + - {label: unc, value: 0.13000} + value: 0.95 + - errors: + - {label: unc, value: 0.05600} + value: 0.342 + - errors: + - {label: unc, value: 0.04100} + value: 0.181 + - errors: + - {label: unc, value: 0.01700} + value: 0.058 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.08000, low: 0.06000, value: 0.07000, factor: 1.00000} + - {high: 0.10000, low: 0.08000, value: 0.09000, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.35000, low: 0.30000, value: 0.32500, factor: 1.00000} + - {high: 0.40000, low: 0.35000, value: 0.37500, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} + - {high: 0.80000, low: 0.70000, value: 0.75000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} +- header: {name: "xp"} + values: + - {high: 0.03000, low: 0.02000, value: 0.02500} + - {high: 0.04000, low: 0.03000, value: 0.03500} + - {high: 0.05000, low: 0.04000, value: 0.04500} + - {high: 0.06000, low: 0.05000, value: 0.05500} + - {high: 0.08000, low: 0.06000, value: 0.07000} + - {high: 0.10000, low: 0.08000, value: 0.09000} + - {high: 0.12000, low: 0.10000, value: 0.11000} + - {high: 0.14000, low: 0.12000, value: 0.13000} + - {high: 0.16000, low: 0.14000, value: 0.15000} + - {high: 0.18000, low: 0.16000, value: 0.17000} + - {high: 0.20000, low: 0.18000, value: 0.19000} + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.50000, low: 0.40000, value: 0.45000} + - {high: 0.60000, low: 0.50000, value: 0.55000} + - {high: 0.70000, low: 0.60000, value: 0.65000} + - {high: 0.80000, low: 0.70000, value: 0.75000} + - {high: 1.00000, low: 0.80000, value: 0.90000} diff --git a/data/TASSO_22_HA_PLUS_MINUS.yaml b/data/TASSO_22_HA_PLUS_MINUS.yaml new file mode 100644 index 000000000..acef6b54e --- /dev/null +++ b/data/TASSO_22_HA_PLUS_MINUS.yaml @@ -0,0 +1,115 @@ +dependent_variables: +- header: {title: "TASSO22 $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 22.0 ,units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 3.90000} + value: 94.0 + - errors: + - {label: unc, value: 3.30000} + value: 102.2 + - errors: + - {label: unc, value: 3.90000} + value: 90.7 + - errors: + - {label: unc, value: 3.60000} + value: 85.9 + - errors: + - {label: unc, value: 2.00000} + value: 65.7 + - errors: + - {label: unc, value: 2.10000} + value: 50.3 + - errors: + - {label: unc, value: 1.50000} + value: 35.4 + - errors: + - {label: unc, value: 1.30000} + value: 27.0 + - errors: + - {label: unc, value: 1.30000} + value: 21.8 + - errors: + - {label: unc, value: 1.20000} + value: 17.1 + - errors: + - {label: unc, value: 0.95000} + value: 15.16 + - errors: + - {label: unc, value: 0.47000} + value: 10.78 + - errors: + - {label: unc, value: 0.38000} + value: 7.05 + - errors: + - {label: unc, value: 0.38000} + value: 4.65 + - errors: + - {label: unc, value: 0.32000} + value: 3.13 + - errors: + - {label: unc, value: 0.15000} + value: 1.76 + - errors: + - {label: unc, value: 0.13000} + value: 0.82 + - errors: + - {label: unc, value: 0.11000} + value: 0.41 + - errors: + - {label: unc, value: 0.05000} + value: 0.193 + - errors: + - {label: unc, value: 0.02500} + value: 0.056 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.08000, low: 0.06000, value: 0.07000, factor: 1.00000} + - {high: 0.10000, low: 0.08000, value: 0.09000, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.35000, low: 0.30000, value: 0.32500, factor: 1.00000} + - {high: 0.40000, low: 0.35000, value: 0.37500, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} + - {high: 0.80000, low: 0.70000, value: 0.75000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} +- header: {name: "xp"} + values: + - {high: 0.03000, low: 0.02000, value: 0.02500} + - {high: 0.04000, low: 0.03000, value: 0.03500} + - {high: 0.05000, low: 0.04000, value: 0.04500} + - {high: 0.06000, low: 0.05000, value: 0.05500} + - {high: 0.08000, low: 0.06000, value: 0.07000} + - {high: 0.10000, low: 0.08000, value: 0.09000} + - {high: 0.12000, low: 0.10000, value: 0.11000} + - {high: 0.14000, low: 0.12000, value: 0.13000} + - {high: 0.16000, low: 0.14000, value: 0.15000} + - {high: 0.18000, low: 0.16000, value: 0.17000} + - {high: 0.20000, low: 0.18000, value: 0.19000} + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.50000, low: 0.40000, value: 0.45000} + - {high: 0.60000, low: 0.50000, value: 0.55000} + - {high: 0.70000, low: 0.60000, value: 0.65000} + - {high: 0.80000, low: 0.70000, value: 0.75000} + - {high: 1.00000, low: 0.80000, value: 0.90000} diff --git a/data/TASSO_35_HA_PLUS_MINUS.yaml b/data/TASSO_35_HA_PLUS_MINUS.yaml new file mode 100644 index 000000000..7773fe254 --- /dev/null +++ b/data/TASSO_35_HA_PLUS_MINUS.yaml @@ -0,0 +1,115 @@ +dependent_variables: +- header: {title: "TASSO35 $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 35.0 ,units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 2.40000} + value: 169.3 + - errors: + - {label: unc, value: 2.70000} + value: 143.7 + - errors: + - {label: unc, value: 1.60000} + value: 115.5 + - errors: + - {label: unc, value: 1.50000} + value: 93.3 + - errors: + - {label: unc, value: 1.20000} + value: 69.2 + - errors: + - {label: unc, value: 1.10000} + value: 49.7 + - errors: + - {label: unc, value: 0.43000} + value: 36.33 + - errors: + - {label: unc, value: 0.37000} + value: 28.08 + - errors: + - {label: unc, value: 0.35000} + value: 22.43 + - errors: + - {label: unc, value: 0.31000} + value: 18.02 + - errors: + - {label: unc, value: 0.28000} + value: 14.38 + - errors: + - {label: unc, value: 0.16000} + value: 10.24 + - errors: + - {label: unc, value: 0.11000} + value: 6.43 + - errors: + - {label: unc, value: 0.10000} + value: 4.23 + - errors: + - {label: unc, value: 0.08700} + value: 2.719 + - errors: + - {label: unc, value: 0.03700} + value: 1.587 + - errors: + - {label: unc, value: 0.02800} + value: 0.782 + - errors: + - {label: unc, value: 0.02300} + value: 0.341 + - errors: + - {label: unc, value: 0.01800} + value: 0.162 + - errors: + - {label: unc, value: 0.01200} + value: 0.03 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.08000, low: 0.06000, value: 0.07000, factor: 1.00000} + - {high: 0.10000, low: 0.08000, value: 0.09000, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.35000, low: 0.30000, value: 0.32500, factor: 1.00000} + - {high: 0.40000, low: 0.35000, value: 0.37500, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} + - {high: 0.80000, low: 0.70000, value: 0.75000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} +- header: {name: "xp"} + values: + - {high: 0.03000, low: 0.02000, value: 0.02500} + - {high: 0.04000, low: 0.03000, value: 0.03500} + - {high: 0.05000, low: 0.04000, value: 0.04500} + - {high: 0.06000, low: 0.05000, value: 0.05500} + - {high: 0.08000, low: 0.06000, value: 0.07000} + - {high: 0.10000, low: 0.08000, value: 0.09000} + - {high: 0.12000, low: 0.10000, value: 0.11000} + - {high: 0.14000, low: 0.12000, value: 0.13000} + - {high: 0.16000, low: 0.14000, value: 0.15000} + - {high: 0.18000, low: 0.16000, value: 0.17000} + - {high: 0.20000, low: 0.18000, value: 0.19000} + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.50000, low: 0.40000, value: 0.45000} + - {high: 0.60000, low: 0.50000, value: 0.55000} + - {high: 0.70000, low: 0.60000, value: 0.65000} + - {high: 0.80000, low: 0.70000, value: 0.75000} + - {high: 1.00000, low: 0.80000, value: 0.90000} diff --git a/data/TASSO_44_HA_PLUS_MINUS.yaml b/data/TASSO_44_HA_PLUS_MINUS.yaml new file mode 100644 index 000000000..2cbf2db5c --- /dev/null +++ b/data/TASSO_44_HA_PLUS_MINUS.yaml @@ -0,0 +1,115 @@ +dependent_variables: +- header: {title: "TASSO44 $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 44.0 ,units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 3.90000} + value: 191.8 + - errors: + - {label: unc, value: 3.00000} + value: 152.7 + - errors: + - {label: unc, value: 2.90000} + value: 118.5 + - errors: + - {label: unc, value: 2.70000} + value: 95.0 + - errors: + - {label: unc, value: 1.30000} + value: 70.5 + - errors: + - {label: unc, value: 1.70000} + value: 49.0 + - errors: + - {label: unc, value: 0.89000} + value: 37.17 + - errors: + - {label: unc, value: 0.84000} + value: 28.67 + - errors: + - {label: unc, value: 0.61000} + value: 22.66 + - errors: + - {label: unc, value: 0.76000} + value: 17.79 + - errors: + - {label: unc, value: 0.47000} + value: 13.45 + - errors: + - {label: unc, value: 0.32000} + value: 10.06 + - errors: + - {label: unc, value: 0.23000} + value: 6.18 + - errors: + - {label: unc, value: 0.18000} + value: 4.08 + - errors: + - {label: unc, value: 0.14000} + value: 2.66 + - errors: + - {label: unc, value: 0.07200} + value: 1.517 + - errors: + - {label: unc, value: 0.05200} + value: 0.631 + - errors: + - {label: unc, value: 0.03100} + value: 0.331 + - errors: + - {label: unc, value: 0.01700} + value: 0.129 + - errors: + - {label: unc, value: 0.00590} + value: 0.0309 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.08000, low: 0.06000, value: 0.07000, factor: 1.00000} + - {high: 0.10000, low: 0.08000, value: 0.09000, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.35000, low: 0.30000, value: 0.32500, factor: 1.00000} + - {high: 0.40000, low: 0.35000, value: 0.37500, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} + - {high: 0.80000, low: 0.70000, value: 0.75000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} +- header: {name: "xp"} + values: + - {high: 0.03000, low: 0.02000, value: 0.02500} + - {high: 0.04000, low: 0.03000, value: 0.03500} + - {high: 0.05000, low: 0.04000, value: 0.04500} + - {high: 0.06000, low: 0.05000, value: 0.05500} + - {high: 0.08000, low: 0.06000, value: 0.07000} + - {high: 0.10000, low: 0.08000, value: 0.09000} + - {high: 0.12000, low: 0.10000, value: 0.11000} + - {high: 0.14000, low: 0.12000, value: 0.13000} + - {high: 0.16000, low: 0.14000, value: 0.15000} + - {high: 0.18000, low: 0.16000, value: 0.17000} + - {high: 0.20000, low: 0.18000, value: 0.19000} + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.50000, low: 0.40000, value: 0.45000} + - {high: 0.60000, low: 0.50000, value: 0.55000} + - {high: 0.70000, low: 0.60000, value: 0.65000} + - {high: 0.80000, low: 0.70000, value: 0.75000} + - {high: 1.00000, low: 0.80000, value: 0.90000} diff --git a/data/TPC_HA_PLUS_MINUS.yaml b/data/TPC_HA_PLUS_MINUS.yaml new file mode 100644 index 000000000..e24e62cd9 --- /dev/null +++ b/data/TPC_HA_PLUS_MINUS.yaml @@ -0,0 +1,185 @@ +dependent_variables: +- header: {title: "TPC $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 29.0 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 7.40000} + value: 91.5 + - errors: + - {label: unc, value: 5.60000} + value: 144.8 + - errors: + - {label: unc, value: 7.00000} + value: 157.7 + - errors: + - {label: unc, value: 5.20000} + value: 153.4 + - errors: + - {label: unc, value: 4.30000} + value: 142.2 + - errors: + - {label: unc, value: 3.80000} + value: 124.1 + - errors: + - {label: unc, value: 3.60000} + value: 117.3 + - errors: + - {label: unc, value: 3.30000} + value: 106.4 + - errors: + - {label: unc, value: 3.00000} + value: 96.2 + - errors: + - {label: unc, value: 2.70000} + value: 87.8 + - errors: + - {label: unc, value: 2.60000} + value: 80.7 + - errors: + - {label: unc, value: 2.40000} + value: 72.5 + - errors: + - {label: unc, value: 2.40000} + value: 69.2 + - errors: + - {label: unc, value: 2.20000} + value: 60.0 + - errors: + - {label: unc, value: 2.20000} + value: 53.3 + - errors: + - {label: unc, value: 1.80000} + value: 49.2 + - errors: + - {label: unc, value: 1.40000} + value: 44.6 + - errors: + - {label: unc, value: 1.30000} + value: 39.0 + - errors: + - {label: unc, value: 1.30000} + value: 33.9 + - errors: + - {label: unc, value: 1.10000} + value: 29.4 + - errors: + - {label: unc, value: 1.00000} + value: 26.1 + - errors: + - {label: unc, value: 0.82000} + value: 22.11 + - errors: + - {label: unc, value: 0.79000} + value: 20.44 + - errors: + - {label: unc, value: 0.58000} + value: 17.0 + - errors: + - {label: unc, value: 0.58000} + value: 14.38 + - errors: + - {label: unc, value: 0.44000} + value: 11.31 + - errors: + - {label: unc, value: 0.32000} + value: 8.96 + - errors: + - {label: unc, value: 0.18000} + value: 6.24 + - errors: + - {label: unc, value: 0.13000} + value: 4.08 + - errors: + - {label: unc, value: 0.09300} + value: 2.644 + - errors: + - {label: unc, value: 0.04900} + value: 1.463 + - errors: + - {label: unc, value: 0.02900} + value: 0.663 + - errors: + - {label: unc, value: 0.01900} + value: 0.31 + - errors: + - {label: unc, value: 0.00980} + value: 0.0755 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01500, low: 0.01000, value: 0.01250, factor: 1.00000} + - {high: 0.02000, low: 0.01500, value: 0.01750, factor: 1.00000} + - {high: 0.02500, low: 0.02000, value: 0.02250, factor: 1.00000} + - {high: 0.03000, low: 0.02500, value: 0.02750, factor: 1.00000} + - {high: 0.03500, low: 0.03000, value: 0.03250, factor: 1.00000} + - {high: 0.04000, low: 0.03500, value: 0.03750, factor: 1.00000} + - {high: 0.04500, low: 0.04000, value: 0.04250, factor: 1.00000} + - {high: 0.05000, low: 0.04500, value: 0.04750, factor: 1.00000} + - {high: 0.05500, low: 0.05000, value: 0.05250, factor: 1.00000} + - {high: 0.06000, low: 0.05500, value: 0.05750, factor: 1.00000} + - {high: 0.06500, low: 0.06000, value: 0.06250, factor: 1.00000} + - {high: 0.07000, low: 0.06500, value: 0.06750, factor: 1.00000} + - {high: 0.07500, low: 0.07000, value: 0.07250, factor: 1.00000} + - {high: 0.08000, low: 0.07500, value: 0.07750, factor: 1.00000} + - {high: 0.08500, low: 0.08000, value: 0.08250, factor: 1.00000} + - {high: 0.09000, low: 0.08500, value: 0.08750, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.11000, low: 0.10000, value: 0.10500, factor: 1.00000} + - {high: 0.12000, low: 0.11000, value: 0.11500, factor: 1.00000} + - {high: 0.13000, low: 0.12000, value: 0.12500, factor: 1.00000} + - {high: 0.14000, low: 0.13000, value: 0.13500, factor: 1.00000} + - {high: 0.15000, low: 0.14000, value: 0.14500, factor: 1.00000} + - {high: 0.16000, low: 0.15000, value: 0.15500, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.22000, low: 0.20000, value: 0.21000, factor: 1.00000} + - {high: 0.25000, low: 0.22000, value: 0.23500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.35000, low: 0.30000, value: 0.32500, factor: 1.00000} + - {high: 0.40000, low: 0.35000, value: 0.37500, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} + - {high: 0.90000, low: 0.70000, value: 0.80000, factor: 1.00000} +- header: {name: "xp"} + values: + - {high: 0.01500, low: 0.01000, value: 0.01250} + - {high: 0.02000, low: 0.01500, value: 0.01750} + - {high: 0.02500, low: 0.02000, value: 0.02250} + - {high: 0.03000, low: 0.02500, value: 0.02750} + - {high: 0.03500, low: 0.03000, value: 0.03250} + - {high: 0.04000, low: 0.03500, value: 0.03750} + - {high: 0.04500, low: 0.04000, value: 0.04250} + - {high: 0.05000, low: 0.04500, value: 0.04750} + - {high: 0.05500, low: 0.05000, value: 0.05250} + - {high: 0.06000, low: 0.05500, value: 0.05750} + - {high: 0.06500, low: 0.06000, value: 0.06250} + - {high: 0.07000, low: 0.06500, value: 0.06750} + - {high: 0.07500, low: 0.07000, value: 0.07250} + - {high: 0.08000, low: 0.07500, value: 0.07750} + - {high: 0.08500, low: 0.08000, value: 0.08250} + - {high: 0.09000, low: 0.08500, value: 0.08750} + - {high: 0.10000, low: 0.09000, value: 0.09500} + - {high: 0.11000, low: 0.10000, value: 0.10500} + - {high: 0.12000, low: 0.11000, value: 0.11500} + - {high: 0.13000, low: 0.12000, value: 0.12500} + - {high: 0.14000, low: 0.13000, value: 0.13500} + - {high: 0.15000, low: 0.14000, value: 0.14500} + - {high: 0.16000, low: 0.15000, value: 0.15500} + - {high: 0.18000, low: 0.16000, value: 0.17000} + - {high: 0.20000, low: 0.18000, value: 0.19000} + - {high: 0.22000, low: 0.20000, value: 0.21000} + - {high: 0.25000, low: 0.22000, value: 0.23500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.50000, low: 0.40000, value: 0.45000} + - {high: 0.60000, low: 0.50000, value: 0.55000} + - {high: 0.70000, low: 0.60000, value: 0.65000} + - {high: 0.90000, low: 0.70000, value: 0.80000}