some more bits into the direction of musrview
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@ -137,28 +137,7 @@ double PRunSingleHisto::CalcChiSquare(const std::vector<double>& par)
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}
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}
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// static int counter = 0;
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// TString fln=fRunInfo->fRunName+"_"+(Long_t)fRunInfo->fForwardHistoNo+"_data.dat";
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// ofstream f(fln.Data(),ios_base::out);
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// for (unsigned int i=0; i<fData.fValue.size(); i++) {
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// time = fData.fDataTimeStart + (double)i*fData.fDataTimeStep;
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// f << endl << time << " " << fData.fValue[i] << " " << fData.fError[i];
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// }
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// f.close();
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//
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// fln=fRunInfo->fRunName+"_"+(Long_t)fRunInfo->fForwardHistoNo+"_theo.dat";
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// ofstream ft(fln.Data(),ios_base::out);
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// for (unsigned int i=0; i<fData.fValue.size(); i++) {
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// time = fData.fDataTimeStart + (double)i*fData.fDataTimeStep;
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// ft << endl << time << " " << N0*TMath::Exp(-time/tau)*(1.0+fTheory->Func(time, par, fFuncValues))+bkg;
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// }
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// ft.close();
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// counter++;
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// if (counter == 4) exit(0);
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//cout << endl << ">> " << chisq*fRunInfo->fPacking;
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return chisq*fRunInfo->fPacking;
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return chisq;
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}
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//--------------------------------------------------------------------------
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@ -407,7 +386,7 @@ bool PRunSingleHisto::PrepareFitData()
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if (value == 0.0)
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fData.fError.push_back(1.0);
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else
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fData.fError.push_back(TMath::Sqrt(value));
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fData.fError.push_back(TMath::Sqrt(value/fRunInfo->fPacking));
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value = 0.0;
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}
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value += runData->fDataBin[histoNo][i];
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@ -506,17 +485,17 @@ bool PRunSingleHisto::PrepareRawViewData()
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}
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// 2nd check if start is within proper bounds
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if ((start < 0) || (start > runData->fDataBin[histoNo].size())) {
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cout << endl << "PRunSingleHisto::PrepareData(): **ERROR** start data bin doesn't make any sense!";
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cout << endl << "PRunSingleHisto::PrepareRawViewData(): **ERROR** start data bin doesn't make any sense!";
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return false;
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}
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// 3rd check if end is within proper bounds
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if ((end < 0) || (end > runData->fDataBin[histoNo].size())) {
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cout << endl << "PRunSingleHisto::PrepareData(): **ERROR** end data bin doesn't make any sense!";
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cout << endl << "PRunSingleHisto::PrepareRawViewData(): **ERROR** end data bin doesn't make any sense!";
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return false;
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}
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// 4th check if t0 is within proper bounds
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if ((t0 < 0) || (t0 > runData->fDataBin[histoNo].size())) {
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cout << endl << "PRunSingleHisto::PrepareData(): **ERROR** t0 data bin doesn't make any sense!";
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cout << endl << "PRunSingleHisto::PrepareRawViewData(): **ERROR** t0 data bin doesn't make any sense!";
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return false;
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}
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@ -535,7 +514,7 @@ bool PRunSingleHisto::PrepareRawViewData()
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if (value == 0.0)
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fData.fError.push_back(1.0);
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else
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fData.fError.push_back(TMath::Sqrt(value));
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fData.fError.push_back(TMath::Sqrt(value/fRunInfo->fPacking));
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value = 0.0;
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}
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value += runData->fDataBin[histoNo][i];
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@ -595,10 +574,176 @@ bool PRunSingleHisto::PrepareRawViewData()
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// PrepareViewData
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//--------------------------------------------------------------------------
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/**
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* <p> Muon life time corrected data
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*
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* <p> Muon life time corrected data: Starting from
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* \f[ N(t) = N_0 e^{-t/\tau} [ 1 + A(t) ] + \mathrm{Bkg} \f]
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* it follows that
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* \f[ A(t) = (-1) + e^{+t/\tau}\, \frac{N(t)-\mathrm{Bkg}}{N_0}. \f]
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* For the error estimate only the statistical error of \f$ N(t) \f$ is used, and hence
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* \f[ \Delta A(t) = \frac{e^{t/\tau}}{N_0}\,\sqrt{\frac{N(t)}{p}} \f]
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* where \f$ p \f$ is the packing, and \f$ N(t) \f$ are the packed data, i.e.
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* \f[ N(t_i) = \frac{1}{p}\, \sum_{j=i}^{i+p} n_j \f]
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* with \f$ n_j \f$ the raw histogram data bins.
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*/
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bool PRunSingleHisto::PrepareViewData()
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{
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// get the proper run
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PRawRunData* runData = fRawData->GetRunData(fRunInfo->fRunName);
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if (!runData) { // couldn't get run
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cout << endl << "PRunSingleHisto::PrepareViewData(): **ERROR** Couldn't get run " << fRunInfo->fRunName.Data() << "!";
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return false;
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}
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// keep the time resolution in (us)
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fTimeResolution = runData->fTimeResolution/1.0e3;
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// check if the t0's are given in the msr-file
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if (fRunInfo->fT0[0] == -1) { // t0's are NOT in the msr-file
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// check if the t0's are in the data file
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if (runData->fT0s.size() != 0) { // t0's in the run data
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// keep the proper t0's. For single histo runs, forward is holding the histo no
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// fForwardHistoNo starts with 1 not with 0 ;-)
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fT0s.push_back(runData->fT0s[fRunInfo->fForwardHistoNo-1]);
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} else { // t0's are neither in the run data nor in the msr-file -> not acceptable!
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cout << endl << "PRunSingleHisto::PrepareViewData(): **ERROR** NO t0's found, neither in the run data nor in the msr-file!";
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return false;
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}
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} else { // t0's in the msr-file
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// check if t0's are given in the data file
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if (runData->fT0s.size() != 0) {
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// compare t0's of the msr-file with the one in the data file
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if (fabs(fRunInfo->fT0[0]-runData->fT0s[fRunInfo->fForwardHistoNo-1])>5.0) { // given in bins!!
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cout << endl << "PRunSingleHisto::PrepareViewData(): **WARNING**:";
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cout << endl << " t0 from the msr-file is " << fRunInfo->fT0[0];
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cout << endl << " t0 from the data file is " << runData->fT0s[fRunInfo->fForwardHistoNo-1];
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cout << endl << " This is quite a deviation! Is this done intentionally??";
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cout << endl;
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}
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}
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fT0s.push_back(fRunInfo->fT0[0]);
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}
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// check if post pile up data shall be used
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unsigned int histoNo;
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if (fRunInfo->fFileFormat.Contains("ppc")) {
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histoNo = runData->fDataBin.size()/2 + fRunInfo->fForwardHistoNo-1;
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} else {
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histoNo = fRunInfo->fForwardHistoNo-1;
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}
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if ((runData->fDataBin.size() < histoNo) || (histoNo < 0)) {
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cout << endl << "PRunSingleHisto::PrepareViewData(): **PANIC ERROR**:";
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cout << endl << " histoNo found = " << histoNo << ", but there are only " << runData->fDataBin.size() << " runs!?!?";
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cout << endl << " Will quite :-(";
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cout << endl;
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return false;
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}
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// transform raw histo data. This is done the following way (for details see the manual):
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// for the single histo fit, just the rebinned raw data are copied
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// first get start data, end data, and t0
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unsigned int start;
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unsigned int end;
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double t0 = fT0s[0];
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// raw data, since PMusrCanvas is doing ranging etc.
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// start = the first bin which is a multiple of packing backward from t0
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start = (int)t0 - ((int)t0/fRunInfo->fPacking)*fRunInfo->fPacking;
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// end = last bin starting from start which is a multipl of packing and still within the data
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end = start + ((runData->fDataBin[histoNo].size()-start-1)/fRunInfo->fPacking)*fRunInfo->fPacking;
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// check if start, end, and t0 make any sense
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// 1st check if start and end are in proper order
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if (end < start) { // need to swap them
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int keep = end;
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end = start;
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start = keep;
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}
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// 2nd check if start is within proper bounds
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if ((start < 0) || (start > runData->fDataBin[histoNo].size())) {
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cout << endl << "PRunSingleHisto::PrepareViewData(): **ERROR** start data bin doesn't make any sense!";
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return false;
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}
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// 3rd check if end is within proper bounds
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if ((end < 0) || (end > runData->fDataBin[histoNo].size())) {
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cout << endl << "PRunSingleHisto::PrepareViewData(): **ERROR** end data bin doesn't make any sense!";
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return false;
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}
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// 4th check if t0 is within proper bounds
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if ((t0 < 0) || (t0 > runData->fDataBin[histoNo].size())) {
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cout << endl << "PRunSingleHisto::PrepareViewData(): **ERROR** t0 data bin doesn't make any sense!";
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return false;
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}
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// everything looks fine, hence fill data set
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// feed the parameter vector
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std::vector<double> par;
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PMsrParamList *paramList = fMsrInfo->GetMsrParamList();
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for (unsigned int i=0; i<paramList->size(); i++)
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par.push_back((*paramList)[i].fValue);
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// calculate asymmetry
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double N0 = par[fRunInfo->fNormParamNo-1];
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//cout << endl << ">> N0 = " << N0;
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// get tau
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double tau;
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if (fRunInfo->fLifetimeParamNo != -1)
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tau = par[fRunInfo->fLifetimeParamNo-1];
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else
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tau = PMUON_LIFETIME;
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//cout << endl << ">> tau = " << tau;
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// get background
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double bkg = par[fRunInfo->fBkgFitParamNo-1];
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//cout << endl << ">> bkg = " << bkg;
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double value = 0.0;
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double expval;
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double time;
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// data start at data_start-t0
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// time shifted so that packing is included correctly, i.e. t0 == t0 after packing
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fData.fDataTimeStart = fTimeResolution*(((double)start-t0)+(double)fRunInfo->fPacking/2.0);
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fData.fDataTimeStep = fTimeResolution*fRunInfo->fPacking;
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//cout << endl << ">> start = " << fData.fDataTimeStart << ", step = " << fData.fDataTimeStep;
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for (unsigned i=start; i<end; i++) {
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if (((i-start) % fRunInfo->fPacking == 0) && (i != start)) { // fill data
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// in order that after rebinning the fit does not need to be redone (important for plots)
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// the value is normalize to per bin
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value /= fRunInfo->fPacking;
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time = fData.fDataTimeStart+(double)i*fData.fDataTimeStep/fRunInfo->fPacking;
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expval = TMath::Exp(+time/tau)/N0;
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fData.fValue.push_back(-1.0+expval*(value-bkg));
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fData.fError.push_back(expval*TMath::Sqrt(value/fRunInfo->fPacking));
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//cout << endl << ">> " << time << ", " << expval << ", " << -1.0+expval*(value-bkg) << ", " << expval*TMath::Sqrt(value/fRunInfo->fPacking);
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value = 0.0;
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}
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value += runData->fDataBin[histoNo][i];
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}
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// count the number of bins to be fitted
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fNoOfFitBins=0;
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for (unsigned int i=0; i<fData.fValue.size(); i++) {
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time = fData.fDataTimeStart + (double)i*fData.fDataTimeStep;
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if ((time >= fFitStartTime) && (time <= fFitStopTime))
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fNoOfFitBins++;
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}
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// calculate functions
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for (int i=0; i<fMsrInfo->GetNoOfFuncs(); i++) {
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fFuncValues[i] = fMsrInfo->EvalFunc(fMsrInfo->GetFuncNo(i), fRunInfo->fMap, par);
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}
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// calculate theory
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unsigned int size = runData->fDataBin[histoNo].size();
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double startTime = -fT0s[0]*fTimeResolution;
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fData.fTheoryTimeStart = startTime;
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fData.fTheoryTimeStep = fTimeResolution;
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for (unsigned int i=0; i<size; i++) {
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time = startTime + (double)i*fTimeResolution;
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fData.fTheory.push_back(fTheory->Func(time, par, fFuncValues));
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}
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// clean up
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par.clear();
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return true;
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}
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