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HFS simple tree + neural network predictions using pybind (#214)
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| # main ignores | ||
| .*.sw* | ||
| *~ | ||
| *.hepmc* | ||
| *.root | ||
| *.pcm | ||
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| // SPDX-License-Identifier: LGPL-3.0-or-later | ||
| // Copyright (C) 2022 Connor Pecar | ||
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| R__LOAD_LIBRARY(EpicAnalysis) | ||
| #include <pybind11/embed.h> | ||
| namespace py = pybind11; | ||
| // using ML prediction for vecQ, and writing out tree of HFS four-vectors | ||
| // requires pybind includes above | ||
| void analysis_testml( | ||
| TString configFile="datarec/in.config", /* delphes tree(s) */ | ||
| TString outfilePrefix="resolutions" /* output filename prefix*/ | ||
| ) { | ||
| // object needed at start of script using pybind11 | ||
| py::scoped_interpreter guard{}; | ||
| //outfilePrefix+="_DA"; | ||
| // setup analysis ======================================== | ||
| AnalysisEcce *A = new AnalysisEcce( | ||
| configFile, | ||
| outfilePrefix | ||
| ); | ||
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| A->maxEvents = 10000; // use this to limit the number of events | ||
| A->writeSimpleTree = true; // write SimpleTree (for one bin) | ||
| A->writeHFSTree = true; // write HFSTree (for one bin) | ||
| A->SetReconMethod("ML"); // set reconstruction method | ||
| A->AddFinalState("pipTrack"); // pion final state | ||
| //A->AddFinalState("KpTrack"); // kaon final state | ||
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| // define cuts ==================================== | ||
| A->AddBinScheme("w"); A->BinScheme("w")->BuildBin("Min",3.0); // W > 3 GeV | ||
| //A->AddBinScheme("xF"); A->BinScheme("xF")->BuildBin("Min",0.0); // xF > 0 | ||
| //A->AddBinScheme("ptLab"); A->BinScheme("ptLab")->BuildBin("Min",0.1); // pT_lab > 0.1 GeV (tracking limit) | ||
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| // set binning scheme ==================================== | ||
| // z ranges | ||
| //A->AddBinScheme("z"); | ||
| //A->BinScheme("z")->BuildBin("Min",0.2); // needed? | ||
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| // y minima | ||
| A->AddBinScheme("y"); | ||
| A->BinScheme("y")->BuildBin("Full"); // a bin with no y-cut | ||
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| // perform the analysis ================================== | ||
| A->Execute(); | ||
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| }; |
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| // SPDX-License-Identifier: LGPL-3.0-or-later | ||
| // Copyright (C) 2022 Connor Pecar | ||
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| #include "HFSTree.h" | ||
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| ClassImp(HFSTree) | ||
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| // constructor | ||
| HFSTree::HFSTree(TString treeName_, Kinematics *K_, Kinematics *Ktrue_) | ||
| : treeName(treeName_) | ||
| , K(K_) | ||
| , Ktrue(Ktrue_) | ||
| { | ||
| T = new TTree(treeName,treeName); | ||
| T->Branch("vecElectron", &(K->vecElectron)); | ||
| T->Branch("vecElectronTrue", &(Ktrue->vecElectron)); | ||
| T->Branch("vecEleBeamTrue", &(Ktrue->vecEleBeam)); | ||
| T->Branch("vecIonBeamTrue", &(Ktrue->vecIonBeam)); | ||
| T->Branch("nHFS", &(K->nHFS), "nHFS/I"); | ||
| T->Branch("hfsp4", &(K->hfsp4)); | ||
| //T->Branch("hfspy", &(K->hfspy), "hfspy[nHFS]/F"); | ||
| //T->Branch("hfspz", &(K->hfspz), "hfspz[nHFS]/F"); | ||
| //T->Branch("hfsE", &(K->hfsE), "hfsE[nHFS]/F"); | ||
| T->Branch("hfspid", &(K->hfspid), "hfspid[nHFS]/F"); | ||
| T->Branch("weight", &(weight), "weight/D"); | ||
| }; | ||
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| // destructor | ||
| HFSTree::~HFSTree() { | ||
| }; | ||
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