added the class PFitterFcnDKS which eventually will handle the DKS/GPU binding. Currently it is without real functionality
This commit is contained in:
parent
d9782c55c8
commit
7b292980e5
@ -1,8 +1,9 @@
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## Process this file with automake to create Makefile.in
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h_sources = \
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../include/PFitterFcn.h \
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../include/PFitter.h \
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../include/PFitterFcn.h \
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../include/PFitterFcnDKS.h \
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../include/PFourier.h \
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../include/PFourierCanvas.h \
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../include/PFunctionGrammar.h \
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@ -50,6 +51,7 @@ dict_h_sources_userFcn = \
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cpp_sources = \
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PFitter.cpp \
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PFitterFcn.cpp \
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PFitterFcnDKS.cpp \
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PFourier.cpp \
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PFourierCanvas.cpp \
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PFunction.cpp \
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@ -38,6 +38,7 @@
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#include <iostream>
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#include <iomanip>
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#include <fstream>
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#include <string>
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#include <limits>
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#include <cmath>
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@ -82,6 +83,7 @@ PFitter::PFitter(PMsrHandler *runInfo, PRunListCollection *runListCollection, Bo
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fChisqOnly(chisq_only), fRunInfo(runInfo), fRunListCollection(runListCollection)
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{
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// initialize variables
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fDKSReady = false;
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fIsScanOnly = true;
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fConverged = false;
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fUseChi2 = true; // chi^2 is the default
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@ -93,6 +95,7 @@ PFitter::PFitter(PMsrHandler *runInfo, PRunListCollection *runListCollection, Bo
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// init class variables
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fFitterFcn = 0;
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fFitterFcnDKS = 0;
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fFcnMin = 0;
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fScanAll = true;
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@ -117,11 +120,26 @@ PFitter::PFitter(PMsrHandler *runInfo, PRunListCollection *runListCollection, Bo
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return;
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}
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// create fit function object
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fFitterFcn = new PFitterFcn(runListCollection, fUseChi2);
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if (!fFitterFcn) {
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fIsValid = false;
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return;
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// check if the theory function can already run on the GPU
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string theo = fRunInfo->GetDKSTheoryString();
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if (!theo.compare("??")) { // theory not yet DKS ready
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cout << endl << ">> PFitter::PFitter(): **INFO** theory not yet DKS/GPU ready. Will run on the CPU." << endl;
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} else {
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fDKSReady = true;
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cout << endl << ">> PFitter::PFitter(): **INFO** theory DKS/GPU ready. Will run on the GPU." << endl;
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}
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// create fit function object depending whether DKS/GPU can be used or not
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if (fDKSReady) { // run on the GPU
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fFitterFcnDKS = new PFitterFcnDKS(runListCollection, fUseChi2);
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if (!fFitterFcnDKS) {
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fIsValid = false;
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}
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} else { // run on the CPU
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fFitterFcn = new PFitterFcn(runListCollection, fUseChi2);
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if (!fFitterFcn) {
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fIsValid = false;
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}
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}
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}
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@ -144,6 +162,11 @@ PFitter::~PFitter()
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fFcnMin = 0;
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}
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if (fFitterFcnDKS) {
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delete fFitterFcnDKS;
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fFitterFcnDKS = 0;
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}
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if (fFitterFcn) {
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delete fFitterFcn;
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fFitterFcn = 0;
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@ -172,13 +195,24 @@ Bool_t PFitter::DoFit()
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if (error[i] != 0.0)
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usedParams++;
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}
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Int_t ndf = fFitterFcn->GetTotalNoOfFittedBins() - usedParams;
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Double_t val = (*fFitterFcn)(param);
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Int_t ndf = 0;
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Double_t val = 0.0;
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if (fDKSReady) {
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ndf = fFitterFcnDKS->GetTotalNoOfFittedBins() - usedParams;
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val = (*fFitterFcnDKS)(param);
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} else {
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ndf = fFitterFcn->GetTotalNoOfFittedBins() - usedParams;
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val = (*fFitterFcn)(param);
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}
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if (fUseChi2) {
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// calculate expected chisq
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Double_t totalExpectedChisq = 0.0;
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std::vector<Double_t> expectedChisqPerHisto;
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fFitterFcn->CalcExpectedChiSquare(param, totalExpectedChisq, expectedChisqPerHisto);
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if (fDKSReady)
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fFitterFcnDKS->CalcExpectedChiSquare(param, totalExpectedChisq, expectedChisqPerHisto);
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else
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fFitterFcn->CalcExpectedChiSquare(param, totalExpectedChisq, expectedChisqPerHisto);
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// calculate chisq per run
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std::vector<Double_t> chisqPerHisto;
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for (UInt_t i=0; i<fRunInfo->GetMsrRunList()->size(); i++) {
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@ -191,14 +225,21 @@ Bool_t PFitter::DoFit()
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cout << endl << ">> expected chisq = " << totalExpectedChisq << ", NDF = " << ndf << ", expected chisq/NDF = " << totalExpectedChisq/ndf;
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UInt_t ndf_histo = 0;
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for (UInt_t i=0; i<expectedChisqPerHisto.size(); i++) {
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ndf_histo = fFitterFcn->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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if (fDKSReady)
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ndf_histo = fFitterFcnDKS->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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else
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ndf_histo = fFitterFcn->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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if (ndf_histo > 0)
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cout << endl << ">> run block " << i+1 << ": (NDF/red.chisq/red.chisq_e) = (" << ndf_histo << "/" << chisqPerHisto[i]/ndf_histo << "/" << expectedChisqPerHisto[i]/ndf_histo << ")";
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}
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} else if (chisqPerHisto.size() > 0) { // in case expected chisq is not applicable like for asymmetry fits
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UInt_t ndf_histo = 0;
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for (UInt_t i=0; i<chisqPerHisto.size(); i++) {
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ndf_histo = fFitterFcn->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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if (fDKSReady)
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ndf_histo = fFitterFcnDKS->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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else
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ndf_histo = fFitterFcn->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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if (ndf_histo > 0)
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cout << endl << ">> run block " << i+1 << ": (NDF/red.chisq) = (" << ndf_histo << "/" << chisqPerHisto[i]/ndf_histo << ")";
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}
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@ -993,7 +1034,13 @@ Bool_t PFitter::ExecuteContours()
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return false;
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}
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ROOT::Minuit2::MnContours contours((*fFitterFcn), *fFcnMin);
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ROOT::Minuit2::FCNBase *fcn = 0;
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if (fDKSReady)
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fcn = fFitterFcnDKS;
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else
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fcn = fFitterFcn;
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ROOT::Minuit2::MnContours contours((*fcn), *fFcnMin);
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fScanData = contours(fScanParameter[0], fScanParameter[1], fScanNoPoints);
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@ -1131,8 +1178,13 @@ Bool_t PFitter::ExecuteHesse()
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// call hesse
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Double_t start=0.0, end=0.0;
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ROOT::Minuit2::FCNBase *fcn = 0;
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if (fDKSReady)
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fcn = fFitterFcnDKS;
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else
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fcn = fFitterFcn;
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start=MilliTime();
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ROOT::Minuit2::MnUserParameterState mnState = hesse((*fFitterFcn), fMnUserParams, maxfcn);
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ROOT::Minuit2::MnUserParameterState mnState = hesse((*fcn), fMnUserParams, maxfcn);
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end=MilliTime();
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cout << ">> PFitter::ExecuteMinimize(): execution time for Hesse = " << setprecision(3) << (end-start)/1.0e3 << " sec." << endl;
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TString str = TString::Format("Hesse: %.3f sec", (end-start)/1.0e3);
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@ -1169,7 +1221,12 @@ Bool_t PFitter::ExecuteMigrad()
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// create migrad object
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// strategy is by default = 'default'
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ROOT::Minuit2::MnMigrad migrad((*fFitterFcn), fMnUserParams, fStrategy);
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ROOT::Minuit2::FCNBase *fcn = 0;
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if (fDKSReady)
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fcn = fFitterFcnDKS;
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else
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fcn = fFitterFcn;
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ROOT::Minuit2::MnMigrad migrad((*fcn), fMnUserParams, fStrategy);
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// minimize
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// maxfcn is MINUIT2 Default maxfcn
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@ -1211,7 +1268,11 @@ Bool_t PFitter::ExecuteMigrad()
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// handle statistics
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Double_t minVal = min.Fval();
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UInt_t ndf = fFitterFcn->GetTotalNoOfFittedBins();
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UInt_t ndf = 0.0;
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if (fDKSReady)
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ndf = fFitterFcnDKS->GetTotalNoOfFittedBins();
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else
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ndf = fFitterFcn->GetTotalNoOfFittedBins();
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// subtract number of varied parameters from total no of fitted bins -> ndf
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for (UInt_t i=0; i<fParams.size(); i++) {
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if ((min.UserState().Error(i) != 0.0) && !fMnUserParams.Parameters().at(i).IsFixed())
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@ -1244,7 +1305,12 @@ Bool_t PFitter::ExecuteMinimize()
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// create minimizer object
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// strategy is by default = 'default'
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ROOT::Minuit2::MnMinimize minimize((*fFitterFcn), fMnUserParams, fStrategy);
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ROOT::Minuit2::FCNBase *fcn = 0;
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if (fDKSReady)
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fcn = fFitterFcnDKS;
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else
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fcn = fFitterFcn;
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ROOT::Minuit2::MnMinimize minimize((*fcn), fMnUserParams, fStrategy);
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// minimize
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// maxfcn is MINUIT2 Default maxfcn
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@ -1287,7 +1353,11 @@ Bool_t PFitter::ExecuteMinimize()
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// handle statistics
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Double_t minVal = min.Fval();
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UInt_t ndf = fFitterFcn->GetTotalNoOfFittedBins();
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UInt_t ndf = 0.0;
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if (fDKSReady)
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ndf = fFitterFcnDKS->GetTotalNoOfFittedBins();
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else
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ndf = fFitterFcn->GetTotalNoOfFittedBins();
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// subtract number of varied parameters from total no of fitted bins -> ndf
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for (UInt_t i=0; i<fParams.size(); i++) {
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if ((min.UserState().Error(i) != 0.0) && !fMnUserParams.Parameters().at(i).IsFixed())
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@ -1334,8 +1404,13 @@ Bool_t PFitter::ExecuteMinos()
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// make minos analysis
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Double_t start=0.0, end=0.0;
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ROOT::Minuit2::FCNBase *fcn = 0;
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if (fDKSReady)
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fcn = fFitterFcnDKS;
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else
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fcn = fFitterFcn;
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start=MilliTime();
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ROOT::Minuit2::MnMinos minos((*fFitterFcn), (*fFcnMin));
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ROOT::Minuit2::MnMinos minos((*fcn), (*fFcnMin));
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for (UInt_t i=0; i<fParams.size(); i++) {
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// only try to call minos if the parameter is not fixed!!
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@ -1523,7 +1598,12 @@ Bool_t PFitter::ExecuteScan()
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{
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cout << ">> PFitter::ExecuteScan(): will call scan ..." << endl;
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ROOT::Minuit2::MnScan scan((*fFitterFcn), fMnUserParams);
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ROOT::Minuit2::FCNBase *fcn = 0;
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if (fDKSReady)
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fcn = fFitterFcnDKS;
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else
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fcn = fFitterFcn;
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ROOT::Minuit2::MnScan scan((*fcn), fMnUserParams);
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if (fScanAll) { // not clear at the moment what to be done here
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// TO BE IMPLEMENTED
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@ -1576,7 +1656,10 @@ Bool_t PFitter::ExecuteSave(Bool_t firstSave)
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for (UInt_t i=0; i<fParams.size(); i++)
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param.push_back(fParams[i].fValue);
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fFitterFcn->CalcExpectedChiSquare(param, totalExpectedChisq, expectedChisqPerHisto);
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if (fDKSReady)
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fFitterFcnDKS->CalcExpectedChiSquare(param, totalExpectedChisq, expectedChisqPerHisto);
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else
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fFitterFcn->CalcExpectedChiSquare(param, totalExpectedChisq, expectedChisqPerHisto);
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// calculate chisq per run
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std::vector<Double_t> chisqPerHisto;
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@ -1588,7 +1671,10 @@ Bool_t PFitter::ExecuteSave(Bool_t firstSave)
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// get the ndf's of the histos
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UInt_t ndf_histo;
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for (UInt_t i=0; i<expectedChisqPerHisto.size(); i++) {
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ndf_histo = fFitterFcn->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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if (fDKSReady)
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ndf_histo = fFitterFcnDKS->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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else
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ndf_histo = fFitterFcn->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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ndfPerHisto.push_back(ndf_histo);
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}
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@ -1603,7 +1689,10 @@ Bool_t PFitter::ExecuteSave(Bool_t firstSave)
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} else if (chisqPerHisto.size() > 1) { // in case expected chisq is not applicable like for asymmetry fits
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UInt_t ndf_histo = 0;
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for (UInt_t i=0; i<chisqPerHisto.size(); i++) {
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ndf_histo = fFitterFcn->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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if (fDKSReady)
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ndf_histo = fFitterFcnDKS->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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else
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ndf_histo = fFitterFcn->GetNoOfFittedBins(i) - fRunInfo->GetNoOfFitParameters(i);
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ndfPerHisto.push_back(ndf_histo);
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}
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@ -1901,7 +1990,12 @@ Bool_t PFitter::ExecuteSimplex()
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// create minimizer object
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// strategy is by default = 'default'
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ROOT::Minuit2::MnSimplex simplex((*fFitterFcn), fMnUserParams, fStrategy);
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ROOT::Minuit2::FCNBase *fcn = 0;
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if (fDKSReady)
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fcn = fFitterFcnDKS;
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else
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fcn = fFitterFcn;
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ROOT::Minuit2::MnSimplex simplex((*fcn), fMnUserParams, fStrategy);
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// minimize
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// maxfcn is 10*MINUIT2 Default maxfcn
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@ -1943,7 +2037,11 @@ Bool_t PFitter::ExecuteSimplex()
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// handle statistics
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Double_t minVal = min.Fval();
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UInt_t ndf = fFitterFcn->GetTotalNoOfFittedBins();
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UInt_t ndf = 0.0;
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if (fDKSReady)
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fFitterFcnDKS->GetTotalNoOfFittedBins();
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else
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fFitterFcn->GetTotalNoOfFittedBins();
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// subtract number of varied parameters from total no of fitted bins -> ndf
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for (UInt_t i=0; i<fParams.size(); i++) {
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if ((min.UserState().Error(i) != 0.0) && !fMnUserParams.Parameters().at(i).IsFixed())
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@ -41,16 +41,14 @@ using namespace std;
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* \param runList run list collection
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* \param useChi2 if true, a chisq fit will be performed, otherwise a log max-likelihood fit will be carried out.
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*/
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PFitterFcn::PFitterFcn(PRunListCollection *runList, Bool_t useChi2)
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PFitterFcn::PFitterFcn(PRunListCollection *runList, Bool_t useChi2) :
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fRunListCollection(runList),
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fUseChi2(useChi2)
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{
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fUseChi2 = useChi2;
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if (fUseChi2)
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fUp = 1.0;
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else
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fUp = 0.5;
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fRunListCollection = runList;
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}
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//--------------------------------------------------------------------------
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107
src/classes/PFitterFcnDKS.cpp
Normal file
107
src/classes/PFitterFcnDKS.cpp
Normal file
@ -0,0 +1,107 @@
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/***************************************************************************
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PFitterFcnDKS.cpp
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Author: Andreas Suter
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e-mail: andreas.suter@psi.ch
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***************************************************************************/
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/***************************************************************************
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* Copyright (C) 2007-2016 by Andreas Suter *
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* andreas.suter@psi.ch *
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* *
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* This program is free software; you can redistribute it and/or modify *
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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* This program is distributed in the hope that it will be useful, *
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* but WITHOUT ANY WARRANTY; without even the implied warranty of *
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
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* GNU General Public License for more details. *
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* *
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* You should have received a copy of the GNU General Public License *
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* along with this program; if not, write to the *
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* Free Software Foundation, Inc., *
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* 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
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***************************************************************************/
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#include <iostream>
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using namespace std;
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#include "PFitterFcnDKS.h"
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//--------------------------------------------------------------------------
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// Constructor
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//--------------------------------------------------------------------------
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/**
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* <p>Constructor.
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*
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* \param runList run list collection
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* \param useChi2 if true, a chisq fit will be performed, otherwise a log max-likelihood fit will be carried out.
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*/
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PFitterFcnDKS::PFitterFcnDKS(PRunListCollection *runList, Bool_t useChi2) :
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fRunListCollection(runList),
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fUseChi2(useChi2)
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{
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if (fUseChi2)
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fUp = 1.0;
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else
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fUp = 0.5;
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}
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//--------------------------------------------------------------------------
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// Destructor
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//--------------------------------------------------------------------------
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/**
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* <p>Destructor
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*/
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PFitterFcnDKS::~PFitterFcnDKS()
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{
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}
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//--------------------------------------------------------------------------
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// operator()
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//--------------------------------------------------------------------------
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/**
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* <p>Minuit2 interface function call routine. This is the function which should be minimized.
|
||||
*
|
||||
* \param par a vector with all the parameters of the function
|
||||
*/
|
||||
Double_t PFitterFcnDKS::operator()(const std::vector<Double_t>& par) const
|
||||
{
|
||||
Double_t value = 0.0;
|
||||
|
||||
return value;
|
||||
}
|
||||
|
||||
//--------------------------------------------------------------------------
|
||||
// CalcExpectedChiSquare()
|
||||
//--------------------------------------------------------------------------
|
||||
/**
|
||||
* <p>Calculates the expected chisq, expected chisq per run, and chisq per run, if applicable.
|
||||
*
|
||||
* \param par
|
||||
* \param totalExpectedChisq expected chisq for all run blocks
|
||||
* \param expectedChisqPerRun expected chisq vector for all the run blocks
|
||||
*/
|
||||
void PFitterFcnDKS::CalcExpectedChiSquare(const std::vector<Double_t> &par, Double_t &totalExpectedChisq, std::vector<Double_t> &expectedChisqPerRun)
|
||||
{
|
||||
// init expected chisq related variables
|
||||
totalExpectedChisq = 0.0;
|
||||
expectedChisqPerRun.clear();
|
||||
|
||||
// only do something for chisq
|
||||
if (fUseChi2) {
|
||||
Double_t value = 0.0;
|
||||
|
||||
// single histo
|
||||
for (UInt_t i=0; i<fRunListCollection->GetNoOfSingleHisto(); i++) {
|
||||
value = fRunListCollection->GetSingleHistoChisqExpected(par, i); // calculate the expected chisq for single histo run block 'i'
|
||||
expectedChisqPerRun.push_back(value);
|
||||
totalExpectedChisq += value;
|
||||
}
|
||||
}
|
||||
}
|
@ -37,6 +37,7 @@
|
||||
#include "PMsrHandler.h"
|
||||
#include "PRunListCollection.h"
|
||||
#include "PFitterFcn.h"
|
||||
#include "PFitterFcnDKS.h"
|
||||
|
||||
#define PMN_INTERACTIVE 0
|
||||
#define PMN_CONTOURS 1
|
||||
@ -74,6 +75,7 @@ class PFitter
|
||||
Bool_t DoFit();
|
||||
|
||||
private:
|
||||
Bool_t fDKSReady; ///< flag. true: fit via DKS/GPU. false: fit on CPU
|
||||
Bool_t fIsValid; ///< flag. true: the fit is valid.
|
||||
Bool_t fIsScanOnly; ///< flag. true: scan along some parameters (no fitting).
|
||||
Bool_t fConverged; ///< flag. true: the fit has converged.
|
||||
@ -92,6 +94,7 @@ class PFitter
|
||||
PIntPairVector fCmdList; ///< command list, first=cmd, second=cmd line index
|
||||
|
||||
PFitterFcn *fFitterFcn; ///< pointer to the fitter function object
|
||||
PFitterFcnDKS *fFitterFcnDKS; ///< pointer to the DKS fitter function object
|
||||
|
||||
ROOT::Minuit2::MnUserParameters fMnUserParams; ///< minuit2 input parameter list
|
||||
ROOT::Minuit2::FunctionMinimum *fFcnMin; ///< function minimum object
|
||||
|
@ -37,7 +37,7 @@
|
||||
#include "PRunListCollection.h"
|
||||
|
||||
/**
|
||||
* <p>This is the minuit2 interface function class porviding the function to be optimized (chisq or log max-likelihood).
|
||||
* <p>This is the minuit2 interface function class providing the function to be optimized (chisq or log max-likelihood).
|
||||
*/
|
||||
class PFitterFcn : public ROOT::Minuit2::FCNBase
|
||||
{
|
||||
|
61
src/include/PFitterFcnDKS.h
Normal file
61
src/include/PFitterFcnDKS.h
Normal file
@ -0,0 +1,61 @@
|
||||
/***************************************************************************
|
||||
|
||||
PFitterFcnDKS.h
|
||||
|
||||
Author: Andreas Suter
|
||||
e-mail: andreas.suter@psi.ch
|
||||
|
||||
***************************************************************************/
|
||||
|
||||
/***************************************************************************
|
||||
* Copyright (C) 2007-2016 by Andreas Suter *
|
||||
* andreas.suter@psi.ch *
|
||||
* *
|
||||
* This program is free software; you can redistribute it and/or modify *
|
||||
* it under the terms of the GNU General Public License as published by *
|
||||
* the Free Software Foundation; either version 2 of the License, or *
|
||||
* (at your option) any later version. *
|
||||
* *
|
||||
* This program is distributed in the hope that it will be useful, *
|
||||
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
|
||||
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
|
||||
* GNU General Public License for more details. *
|
||||
* *
|
||||
* You should have received a copy of the GNU General Public License *
|
||||
* along with this program; if not, write to the *
|
||||
* Free Software Foundation, Inc., *
|
||||
* 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
|
||||
***************************************************************************/
|
||||
|
||||
#ifndef _PFITTERFCNDKS_H_
|
||||
#define _PFITTERFCNDKS_H_
|
||||
|
||||
#include <vector>
|
||||
|
||||
#include "Minuit2/FCNBase.h"
|
||||
|
||||
#include "PRunListCollection.h"
|
||||
|
||||
/**
|
||||
* <p>This is the minuit2 interface function class providing the function to be optimized (chisq or log max-likelihood).
|
||||
*/
|
||||
class PFitterFcnDKS : public ROOT::Minuit2::FCNBase
|
||||
{
|
||||
public:
|
||||
PFitterFcnDKS(PRunListCollection *runList, Bool_t useChi2);
|
||||
~PFitterFcnDKS();
|
||||
|
||||
Double_t Up() const { return fUp; }
|
||||
Double_t operator()(const std::vector<Double_t> &par) const;
|
||||
|
||||
UInt_t GetTotalNoOfFittedBins() { return fRunListCollection->GetTotalNoOfBinsFitted(); }
|
||||
UInt_t GetNoOfFittedBins(const UInt_t idx) { return fRunListCollection->GetNoOfBinsFitted(idx); }
|
||||
void CalcExpectedChiSquare(const std::vector<Double_t> &par, Double_t &totalExpectedChisq, std::vector<Double_t> &expectedChisqPerRun);
|
||||
|
||||
private:
|
||||
Double_t fUp; ///< for chisq == 1.0, i.e. errors are 1 std. deviation errors. for log max-likelihood == 0.5, i.e. errors are 1 std. deviation errors (for details see the minuit2 user manual).
|
||||
Bool_t fUseChi2; ///< true = chisq fit, false = log max-likelihood fit
|
||||
PRunListCollection *fRunListCollection; ///< pre-processed data to be fitted
|
||||
};
|
||||
|
||||
#endif // _PFITTERFCNDKS_H_
|
Loading…
x
Reference in New Issue
Block a user