/* ======================================================================== *\ ! ! * ! * This file is part of MARS, the MAGIC Analysis and Reconstruction ! * Software. It is distributed to you in the hope that it can be a useful ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes. ! * It is distributed WITHOUT ANY WARRANTY. ! * ! * Permission to use, copy, modify and distribute this software and its ! * documentation for any purpose is hereby granted without fee, ! * provided that the above copyright notice appear in all copies and ! * that both that copyright notice and this permission notice appear ! * in supporting documentation. It is provided "as is" without express ! * or implied warranty. ! * ! ! ! Author(s): Markus Gaug 02/2004 ! ! Copyright: MAGIC Software Development, 2000-2004 ! ! \* ======================================================================== */ ////////////////////////////////////////////////////////////////////////////// // // MHCalibrationChargeBlindPix // // Histogram class for the charge calibration of the Blind Pixel. // Stores and fits the charges and stores the averaged assumed pedestal and // single-phe FADC slice entries. Charges are taken from MExtractedSignalBlindPix. // Performs the Single Photo-electron fit to extract the Poisson mean and its errors. // // Different fits can be chosen with the function ChangeFitFunc(). // // The fit result is accepted under the condition that: // 1) the Probability is greater than fProbLimit (default 0.001 == 99.7%) // 2) at least fNumSinglePheLimit events are found in the single Photo-electron peak // // The single FADC slice entries are averaged and stored in fASinglePheFADCSlices, if // their sum exceeds fSinglePheCut, otherwise in fAPedestalFADCSlices. // // Used numbers are the following: // // Electronic conversion factor: // Assume, we have N_e electrons at the anode, // thus a charge of N_e*e (e = electron charge) Coulomb. // // This charge is AC coupled and runs into a R_pre = 50 Ohm resistency. // The corresponding current is amplified by a gain factor G_pre = 400 // (the precision of this value still has to be checked !!!) and again AC coupled to // the output. // The corresponding signal goes through the whole transmission and // amplification chain and is digitized in the FADCs. // The conversion Signal Area to FADC counts (Conv_trans) has been measured // by David and Oscar to be approx. 3.9 pVs^-1 // // Thus: Conversion FADC counts to Number of Electrons at Anode: // FADC counts = (1/Conv_tran) * G_pre * R_pre * e * N_e = 8 * 10^-4 N_e. // // Also: FADC counts = 8*10^-4 * GAIN * N_phe // // In the blind pixel, there is an additional pre-amplifier with an amplification of // about 10. Therefore, we have for the blind pixel: // // FADC counts (Blind Pixel) = 8*10^-3 * GAIN * N_phe // ////////////////////////////////////////////////////////////////////////////// #include "MHCalibrationChargeBlindPix.h" #include #include #include #include #include #include #include #include "MLog.h" #include "MLogManip.h" #include "MParList.h" #include "MRawEvtData.h" #include "MRawEvtPixelIter.h" #include "MExtractedSignalBlindPixel.h" #include "MCalibrationChargeBlindPix.h" ClassImp(MHCalibrationChargeBlindPix); using namespace std; const Double_t MHCalibrationChargeBlindPix::gkElectronicAmp = 0.008; const Double_t MHCalibrationChargeBlindPix::gkElectronicAmpErr = 0.002; const Int_t MHCalibrationChargeBlindPix::fgChargeNbins = 5300; const Axis_t MHCalibrationChargeBlindPix::fgChargeFirst = -100.5; const Axis_t MHCalibrationChargeBlindPix::fgChargeLast = 5199.5; const Float_t MHCalibrationChargeBlindPix::fgSinglePheCut = 200.; const Float_t MHCalibrationChargeBlindPix::fgNumSinglePheLimit = 50.; // -------------------------------------------------------------------------- // // Default Constructor. // // Sets: // - the default number for fNbins (fgChargeNbins) // - the default number for fFirst (fgChargeFirst) // - the default number for fLast (fgChargeLast) // - the default number for fSinglePheCut (fgSingePheCut) // - the default number for fNumSinglePheLimit (fgNumSinglePheLimit) // - the default number of bins after stripping (30) // // - the default name of the fHGausHist ("HCalibrationChargeBlindPix") // - the default title of the fHGausHist ("Distribution of Summed FADC slices Blind Pixel ") // - the default x-axis title for fHGausHist ("Sum FADC Slices") // - the default y-axis title for fHGausHist ("Nr. of events") // // Initializes: // - all pointers to NULL // // Calls: // - Clear() // MHCalibrationChargeBlindPix::MHCalibrationChargeBlindPix(const char *name, const char *title) : fBlindPix(NULL), fSignal(NULL), fRawEvt(NULL), fSinglePheFit(NULL), fFitLegend(NULL), fHSinglePheFADCSlices(NULL), fHPedestalFADCSlices(NULL) { fName = name ? name : "MHCalibrationChargeBlindPix"; fTitle = title ? title : "Statistics of the FADC sums of Blind Pixel calibration events"; SetNbins( fgChargeNbins ); SetFirst( fgChargeFirst ); SetLast ( fgChargeLast ); SetSinglePheCut(); SetNumSinglePheLimit(); SetBinsAfterStripping(30); fHGausHist.SetName("HCalibrationChargeBlindPix"); fHGausHist.SetTitle("Distribution of Summed FADC slices Blind Pixel"); fHGausHist.SetXTitle("Sum FADC Slices"); fHGausHist.SetYTitle("Nr. of events"); Clear(); } // -------------------------------------------------------------------------- // // Default Destructor. // // Deletes (if Pointer is not NULL): // // - fSinglePheFit // - fFitLegend // - fHSinglePheFADCSlices // - fHPedestalFADCSlices // MHCalibrationChargeBlindPix::~MHCalibrationChargeBlindPix() { if (fSinglePheFit) delete fSinglePheFit; if (fFitLegend) delete fFitLegend; if (fHSinglePheFADCSlices) delete fHSinglePheFADCSlices; if (fHPedestalFADCSlices) delete fHPedestalFADCSlices; } // -------------------------------------------------------------------------- // // Sets: // - all variables to 0., except the fit result variables to -999. // - all flags to kFALSE // - all pointers to NULL // - the default fit function (kEPoisson5) // // Deletes: // - all pointers unequal NULL // // Calls: // - MHCalibrationChargePix::Clear() // void MHCalibrationChargeBlindPix::Clear(Option_t *o) { fLambda = -999.; fMu0 = -999.; fMu1 = -999.; fSigma0 = -999.; fSigma1 = -999.; fLambdaErr = -999.; fMu0Err = -999.; fMu1Err = -999.; fSigma0Err = -999.; fSigma1Err = -999.; fLambdaCheck = -999.; fLambdaCheckErr = -999.; fFitFunc = kEPoisson5; fNumSinglePhes = 0; fNumPedestals = 0; fChisquare = 0.; fNDF = 0 ; fProb = 0.; SetSinglePheFitOK ( kFALSE ); SetPedestalFitOK ( kFALSE ); if (fFitLegend) { delete fFitLegend; fFitLegend = NULL; } if (fSinglePheFit) { delete fSinglePheFit; fSinglePheFit = NULL; } if (fHSinglePheFADCSlices) { delete fHSinglePheFADCSlices; fHSinglePheFADCSlices = NULL; } if (fHPedestalFADCSlices) { delete fHPedestalFADCSlices; fHPedestalFADCSlices = NULL; } MHCalibrationChargePix::Clear(); return; } // -------------------------------------------------------------------------- // // Set bit kSinglePheFitOK from outside // void MHCalibrationChargeBlindPix::SetSinglePheFitOK (const Bool_t b) { b ? SETBIT(fFlags,kSinglePheFitOK) : CLRBIT(fFlags,kSinglePheFitOK); } // -------------------------------------------------------------------------- // // Set bit kPedestalFitOK from outside // void MHCalibrationChargeBlindPix::SetPedestalFitOK(const Bool_t b) { b ? SETBIT(fFlags,kPedestalFitOK) : CLRBIT(fFlags,kPedestalFitOK); } // -------------------------------------------------------------------------- // // Ask for status of bit kSinglePheFitOK // const Bool_t MHCalibrationChargeBlindPix::IsSinglePheFitOK() const { return TESTBIT(fFlags,kSinglePheFitOK); } // -------------------------------------------------------------------------- // // Ask for status of bit kPedestalFitOK // const Bool_t MHCalibrationChargeBlindPix::IsPedestalFitOK() const { return TESTBIT(fFlags,kPedestalFitOK); } // -------------------------------------------------------------------------- // // Gets the pointers to: // - MRawEvtData // - MExtractedSignalBlindPixel // // Initializes: // - fASinglePheFADCSlices(0); // - fAPedestalFADCSlices(0); // // Calls: // - MHGausHist::InitBins() // Bool_t MHCalibrationChargeBlindPix::SetupFill(const MParList *pList) { fRawEvt = (MRawEvtData*)pList->FindObject("MRawEvtData"); if (!fRawEvt) { *fLog << err << "MRawEvtData not found... aborting." << endl; return kFALSE; } fSignal = (MExtractedSignalBlindPixel*)pList->FindObject("MExtractedSignalBlindPixel"); if (!fSignal) { *fLog << err << "MExtractedSignalBlindPixel not found... aborting " << endl; return kFALSE; } fASinglePheFADCSlices(0); fAPedestalFADCSlices(0); InitBins(); return kTRUE; } // -------------------------------------------------------------------------- // // Gets or creates the pointers to: // - MCalibrationChargeBlindPix // Bool_t MHCalibrationChargeBlindPix::ReInit(MParList *pList) { fBlindPix = (MCalibrationChargeBlindPix*)pList->FindCreateObj("MCalibrationChargeBlindPix"); if (!fBlindPix) return kFALSE; return kTRUE; } // -------------------------------------------------------------------------- // // Retrieves from MExtractedSignalBlindPixel: // - number of FADC samples // - extracted signal // - blind Pixel ID // // Resizes (if necessary): // - fASinglePheFADCSlices to sum of HiGain and LoGain samples // - fAPedestalFADCSlices to sum of HiGain and LoGain samples // // Fills the following histograms: // - MHGausEvents::FillHistAndArray(signal) // // Creates MRawEvtPixelIter, jumps to blind pixel ID, // fills the vectors fASinglePheFADCSlices and fAPedestalFADCSlices // with the full FADC slices, depending on the size of the signal w.r.t. fSinglePheCut // Bool_t MHCalibrationChargeBlindPix::Fill(const MParContainer *par, const Stat_t w) { const Int_t samples = (Int_t)fRawEvt->GetNumHiGainSamples()+(Int_t)fRawEvt->GetNumLoGainSamples(); if (fASinglePheFADCSlices.GetNrows() != samples) { fASinglePheFADCSlices.ResizeTo(samples); fAPedestalFADCSlices.ResizeTo(samples); } Float_t slices = (Float_t)fSignal->GetNumFADCSamples(); if (slices == 0.) { *fLog << err << "Number of used signal slices in MExtractedSignalBlindPix is zero ... abort." << endl; return kFALSE; } // // Signal extraction and histogram filling // const Float_t signal = (Float_t)fSignal->GetExtractedSignal(); FillHistAndArray(signal); // // IN order to study the single-phe posistion, we extract the slices // const Int_t blindpixIdx = fSignal->GetBlindPixelIdx(); MRawEvtPixelIter pixel(fRawEvt); pixel.Jump(blindpixIdx); if (signal > fSinglePheCut) FillSinglePheFADCSlices(pixel); else FillPedestalFADCSlices(pixel); return kTRUE; } // -------------------------------------------------------------------------- // // Returns kFALSE, if empty // // - Creates the fourier spectrum and sets bit MHGausEvents::IsFourierSpectrumOK() // - Retrieves the pedestals from MExtractedSignalBlindPixel // - Normalizes fASinglePheFADCSlices and fAPedestalFADCSlices // - Executes FitPedestal() // - Executes FitSinglePhe() // - Retrieves fit results and stores them in MCalibrationChargeBlindPix // Bool_t MHCalibrationChargeBlindPix::Finalize() { if (IsEmpty()) { *fLog << err << GetDescriptor() << ": My histogram has not been filled !! " << endl; return kFALSE; } CreateFourierSpectrum(); fBlindPix->SetOscillating ( !IsFourierSpectrumOK() ); fMeanPedestal = fSignal->GetPed(); fMeanPedestalErr = fSignal->GetPedErr(); fSigmaPedestal = fSignal->GetPedRms(); fSigmaPedestalErr = fSignal->GetPedRmsErr(); if (fNumSinglePhes > 1) for (Int_t i=0;i 1) for (Int_t i=0;iSetSinglePheFitOK(); fBlindPix->SetLambda ( fLambda ); fBlindPix->SetLambdaVar ( fLambdaErr*fLambdaErr ); fBlindPix->SetMu0 ( fMu0 ); fBlindPix->SetMu0Err ( fMu0Err ); fBlindPix->SetMu1 ( fMu1 ); fBlindPix->SetMu1Err ( fMu1Err ); fBlindPix->SetSigma0 ( fSigma0 ); fBlindPix->SetSigma0Err ( fSigma0Err ); fBlindPix->SetSigma1 ( fSigma1 ); fBlindPix->SetSigma1Err ( fSigma1Err ); fBlindPix->SetProb ( fProb ); fBlindPix->SetLambdaCheck ( fLambdaCheck ); fBlindPix->SetLambdaCheckErr ( fLambdaCheckErr ); return kTRUE; } // -------------------------------------------------------------------------- // // Checks again for the size and fills fASinglePheFADCSlices with the FADC slice entries // void MHCalibrationChargeBlindPix::FillSinglePheFADCSlices(const MRawEvtPixelIter &iter) { const Int_t n = iter.GetNumHiGainSamples() + iter.GetNumLoGainSamples(); if (fASinglePheFADCSlices.GetNrows() < n) fASinglePheFADCSlices.ResizeTo(n); Int_t i=0; Byte_t *start = iter.GetHiGainSamples(); Byte_t *end = start + iter.GetNumHiGainSamples(); for (Byte_t *ptr = start; ptr < end; ptr++, i++) fASinglePheFADCSlices(i) = fASinglePheFADCSlices(i) + (Float_t)*ptr; start = iter.GetLoGainSamples(); end = start + iter.GetNumLoGainSamples(); for (Byte_t *ptr = start; ptr < end; ptr++, i++) fASinglePheFADCSlices(i) = fASinglePheFADCSlices(i) + (Float_t)*ptr; fNumSinglePhes++; } // -------------------------------------------------------------------------- // // Checks again for the size and fills fAPedestalFADCSlices with the FADC slice entries // void MHCalibrationChargeBlindPix::FillPedestalFADCSlices(const MRawEvtPixelIter &iter) { const Int_t n = iter.GetNumHiGainSamples() + iter.GetNumLoGainSamples(); if (fAPedestalFADCSlices.GetNrows() < n) fAPedestalFADCSlices.ResizeTo(n); Int_t i = 0; Byte_t *start = iter.GetHiGainSamples(); Byte_t *end = start + iter.GetNumHiGainSamples(); for (Byte_t *ptr = start; ptr < end; ptr++, i++) fAPedestalFADCSlices(i) = fAPedestalFADCSlices(i)+ (Float_t)*ptr; start = iter.GetLoGainSamples(); end = start + iter.GetNumLoGainSamples(); for (Byte_t *ptr = start; ptr < end; ptr++, i++) fAPedestalFADCSlices(i) = fAPedestalFADCSlices(i)+ (Float_t)*ptr; fNumPedestals++; } // -------------------------------------------------------------------------- // // Task to simulate single phe spectrum with the given parameters // Bool_t MHCalibrationChargeBlindPix::SimulateSinglePhe(Double_t lambda, Double_t mu0, Double_t mu1, Double_t sigma0, Double_t sigma1) { gRandom->SetSeed(); if (fHGausHist.GetIntegral() != 0) { *fLog << err << "Histogram " << fHGausHist.GetTitle() << " is already filled. " << endl; *fLog << err << "Create new class MHCalibrationBlindPixel for simulation! " << endl; return kFALSE; } if (!InitFit()) return kFALSE; for (Int_t i=0;i<10000; i++) fHGausHist.Fill(fSinglePheFit->GetRandom()); return kTRUE; } // -------------------------------------------------------------------------- // // - Get the ranges from the stripped histogram // - choose reasonable start values for the fit // - initialize the fit function depending on fFitFunc // - initialize parameter names and limits depending on fFitFunc // Bool_t MHCalibrationChargeBlindPix::InitFit() { // // Get the fitting ranges // Axis_t rmin = fHGausHist.GetBinCenter(fHGausHist.GetXaxis()->GetFirst()); Axis_t rmax = fHGausHist.GetBinCenter(fHGausHist.GetXaxis()->GetLast()); if (rmin < 0.) rmin = 0.; // // First guesses for the fit (should be as close to reality as possible, // otherwise the fit goes gaga because of high number of dimensions ... // const Stat_t entries = fHGausHist.Integral("width"); const Double_t lambda_guess = 0.1; const Double_t maximum_bin = fHGausHist.GetBinCenter(fHGausHist.GetMaximumBin()); const Double_t norm = entries/TMath::Sqrt(TMath::TwoPi()); // // Initialize the fit function // switch (fFitFunc) { case kEPoisson4: fSinglePheFit = new TF1("SinglePheFit",&fPoissonKto4,rmin,rmax,6); break; case kEPoisson5: fSinglePheFit = new TF1("SinglePheFit",&fPoissonKto5,rmin,rmax,6); break; case kEPoisson6: fSinglePheFit = new TF1("SinglePheFit",&fPoissonKto6,rmin,rmax,6); break; case kEPolya: fSinglePheFit = new TF1("SinglePheFit",&fPolya,rmin,rmax,8); break; case kEMichele: break; default: *fLog << warn << "WARNING: Could not find Fit Function for Blind Pixel " << endl; return kFALSE; break; } if (!fSinglePheFit) { *fLog << warn << dbginf << "WARNING: Could not create fit function for Single Phe fit" << endl; return kFALSE; } const Double_t mu_0_guess = maximum_bin; const Double_t si_0_guess = 40.; const Double_t mu_1_guess = mu_0_guess + 100.; const Double_t si_1_guess = si_0_guess + si_0_guess; // Michele // const Double_t lambda_1cat_guess = 0.5; // const Double_t lambda_1dyn_guess = 0.5; // const Double_t mu_1cat_guess = mu_0_guess + 50.; // const Double_t mu_1dyn_guess = mu_0_guess + 20.; // const Double_t si_1cat_guess = si_0_guess + si_0_guess; // const Double_t si_1dyn_guess = si_0_guess; // Polya const Double_t excessPoisson_guess = 0.5; const Double_t delta1_guess = 8.; const Double_t delta2_guess = 5.; const Double_t electronicAmp_guess = gkElectronicAmp; const Double_t electronicAmp_limit = gkElectronicAmpErr; // // Initialize boundaries and start parameters // switch (fFitFunc) { case kEPoisson4: fSinglePheFit->SetParNames( "#lambda", "#mu_{0}", "#mu_{1}", "#sigma_{0}", "#sigma_{1}","Area"); fSinglePheFit->SetParameters(lambda_guess,fMeanPedestal,mu_1_guess,fSigmaPedestal,si_1_guess,norm); fSinglePheFit->SetParLimits(0,0.,0.5); fSinglePheFit->SetParLimits(1, fMeanPedestal-5.*fMeanPedestalErr, fMeanPedestal+5.*fMeanPedestalErr); fSinglePheFit->SetParLimits(2,rmin,rmax); fSinglePheFit->SetParLimits(3, fSigmaPedestal-5.*fSigmaPedestalErr, fSigmaPedestal+5.*fSigmaPedestalErr); fSinglePheFit->SetParLimits(4,0.,(rmax-rmin)); fSinglePheFit->SetParLimits(5,norm-(0.5*norm),norm+(0.5*norm)); break; case kEPoisson5: case kEPoisson6: fSinglePheFit->SetParameters(lambda_guess,mu_0_guess,mu_1_guess,si_0_guess,si_1_guess,norm); fSinglePheFit->SetParNames("#lambda","#mu_{0}","#mu_{1}","#sigma_{0}","#sigma_{1}","Area"); fSinglePheFit->SetParLimits(0,0.,1.); fSinglePheFit->SetParLimits(1,rmin,(rmax-rmin)/1.5); fSinglePheFit->SetParLimits(2,(rmax-rmin)/2.,(rmax-0.05*(rmax-rmin))); fSinglePheFit->SetParLimits(3,1.0,(rmax-rmin)/2.0); fSinglePheFit->SetParLimits(4,1.0,(rmax-rmin)/2.5); fSinglePheFit->SetParLimits(5,norm-0.1,norm+0.1); break; case kEPolya: fSinglePheFit->SetParameters(lambda_guess, excessPoisson_guess, delta1_guess,delta2_guess, electronicAmp_guess, fSigmaPedestal, norm, fMeanPedestal); fSinglePheFit->SetParNames("#lambda","b_{tot}", "#delta_{1}","#delta_{2}", "amp_{e}","#sigma_{0}", "Area", "#mu_{0}"); fSinglePheFit->SetParLimits(0,0.,1.); fSinglePheFit->SetParLimits(1,0.,1.); fSinglePheFit->SetParLimits(2,6.,12.); fSinglePheFit->SetParLimits(3,3.,8.); fSinglePheFit->SetParLimits(4,electronicAmp_guess-electronicAmp_limit, electronicAmp_guess+electronicAmp_limit); fSinglePheFit->SetParLimits(5, fSigmaPedestal-3.*fSigmaPedestalErr, fSigmaPedestal+3.*fSigmaPedestalErr); fSinglePheFit->SetParLimits(6,norm-0.1,norm+0.1); fSinglePheFit->SetParLimits(7, fMeanPedestal-3.*fMeanPedestalErr, fMeanPedestal+3.*fMeanPedestalErr); break; case kEMichele: break; default: *fLog << warn << "WARNING: Could not find Fit Function for Blind Pixel " << endl; return kFALSE; break; } fSinglePheFit->SetRange(rmin,rmax); return kTRUE; } // -------------------------------------------------------------------------- // // - Retrieve the parameters depending on fFitFunc // - Retrieve probability, Chisquare and NDF // void MHCalibrationChargeBlindPix::ExitFit() { // // Finalize // switch (fFitFunc) { case kEPoisson4: case kEPoisson5: case kEPoisson6: case kEPoisson7: fLambda = fSinglePheFit->GetParameter(0); fMu0 = fSinglePheFit->GetParameter(1); fMu1 = fSinglePheFit->GetParameter(2); fSigma0 = fSinglePheFit->GetParameter(3); fSigma1 = fSinglePheFit->GetParameter(4); fLambdaErr = fSinglePheFit->GetParError(0); fMu0Err = fSinglePheFit->GetParError(1); fMu1Err = fSinglePheFit->GetParError(2); fSigma0Err = fSinglePheFit->GetParError(3); fSigma1Err = fSinglePheFit->GetParError(4); break; case kEPolya: fLambda = fSinglePheFit->GetParameter(0); fMu0 = fSinglePheFit->GetParameter(7); fMu1 = 0.; fSigma0 = fSinglePheFit->GetParameter(5); fSigma1 = 0.; fLambdaErr = fSinglePheFit->GetParError(0); fMu0Err = fSinglePheFit->GetParError(7); fMu1Err = 0.; fSigma0Err = fSinglePheFit->GetParError(5); fSigma1Err = 0.; default: break; } fProb = fSinglePheFit->GetProb(); fChisquare = fSinglePheFit->GetChisquare(); fNDF = fSinglePheFit->GetNDF(); *fLog << all << "Results of the Blind Pixel Fit: " << endl; *fLog << all << "Chisquare: " << fChisquare << endl; *fLog << all << "DoF: " << fNDF << endl; *fLog << all << "Probability: " << fProb << endl; } // -------------------------------------------------------------------------- // // - Executes InitFit() // - Fits the fHGausHist with fSinglePheFit // - Executes ExitFit() // // The fit result is accepted under condition: // 1) The results are not nan's // 2) The NDF is not smaller than fNDFLimit (5) // 3) The Probability is greater than fProbLimit (default 0.001 == 99.9%) // 4) at least fNumSinglePheLimit events are in the single Photo-electron peak // Bool_t MHCalibrationChargeBlindPix::FitSinglePhe(Option_t *opt) { if (!InitFit()) return kFALSE; fHGausHist.Fit(fSinglePheFit,opt); ExitFit(); // // The fit result is accepted under condition: // 1) The results are not nan's // 2) The NDF is not smaller than fNDFLimit (5) // 3) The Probability is greater than fProbLimit (default 0.001 == 99.9%) // 4) at least fNumSinglePheLimit events are in the single Photo-electron peak // if ( TMath::IsNaN(fLambda) || TMath::IsNaN(fLambdaErr) || TMath::IsNaN(fProb) || TMath::IsNaN(fMu0) || TMath::IsNaN(fMu0Err) || TMath::IsNaN(fMu1) || TMath::IsNaN(fMu1Err) || TMath::IsNaN(fSigma0) || TMath::IsNaN(fSigma0Err) || TMath::IsNaN(fSigma1) || TMath::IsNaN(fSigma1Err) || fNDF < fNDFLimit || fProb < fProbLimit ) return kFALSE; const Stat_t entries = fHGausHist.Integral("width"); const Float_t numSinglePhe = TMath::Exp(-1.0*fLambda)*fLambda*entries; if (numSinglePhe < fNumSinglePheLimit) { *fLog << warn << "WARNING - Statistics is too low: Only " << numSinglePhe << " in the Single Photo-Electron peak " << endl; return kFALSE; } else *fLog << all << numSinglePhe << " in Single Photo-Electron peak " << endl; SetSinglePheFitOK(); return kTRUE; } // -------------------------------------------------------------------------- // // - Retrieves limits for the fit // - Fits the fHGausHist with Gauss // - Retrieves the results to fLambdaCheck and fLambdaCheckErr // - Sets a flag IsPedestalFitOK() // void MHCalibrationChargeBlindPix::FitPedestal (Option_t *opt) { // Perform the cross-check fitting only the pedestal: const Axis_t rmin = 0.; const Axis_t rmax = fHGausHist.GetBinCenter(fHGausHist.GetMaximumBin()); FitGaus(opt, rmin, rmax); const Stat_t entries = fHGausHist.Integral("width"); const Double_t fitarea = fFGausFit->GetParameter(0); const Double_t pedarea = fitarea * TMath::Sqrt(TMath::TwoPi()) * fFGausFit->GetParameter(2); fLambdaCheck = TMath::Log(entries/pedarea); fLambdaCheckErr = fFGausFit->GetParError(0)/fFGausFit->GetParameter(0) + fFGausFit->GetParError(2)/fFGausFit->GetParameter(2); SetPedestalFitOK(); return; } // ------------------------------------------------------------------------- // // Draw a legend with the fit results // void MHCalibrationChargeBlindPix::DrawLegend() { if (!fFitLegend) { fFitLegend = new TPaveText(0.05,0.05,0.95,0.95); fFitLegend->SetLabel(Form("%s%s", "Results of the single PhE Fit (", (fFitFunc = kEPoisson4) ? "Poisson(k=4))" : (fFitFunc = kEPoisson5) ? "Poisson(k=5))" : (fFitFunc = kEPoisson6) ? "Poisson(k=4))" : (fFitFunc = kEPolya ) ? "Polya(k=4))" : (fFitFunc = kEMichele ) ? "Michele)" : " none )" )); fFitLegend->SetTextSize(0.05); } else fFitLegend->Clear(); const TString line1 = Form("Mean: #lambda = %2.2f #pm %2.2f",fLambda,fLambdaErr); TText *t1 = fFitLegend->AddText(line1.Data()); t1->SetBit(kCanDelete); const TString line6 = Form("Mean #lambda (check) = %2.2f #pm %2.2f",fLambdaCheck,fLambdaCheckErr); TText *t2 = fFitLegend->AddText(line6.Data()); t2->SetBit(kCanDelete); const TString line2 = Form("Pedestal: #mu_{0} = %2.2f #pm %2.2f",fMu0,fMu0Err); TText *t3 = fFitLegend->AddText(line2.Data()); t3->SetBit(kCanDelete); const TString line3 = Form("Width Pedestal: #sigma_{0} = %2.2f #pm %2.2f",fSigma0,fSigma0Err); TText *t4 = fFitLegend->AddText(line3.Data()); t4->SetBit(kCanDelete); const TString line4 = Form("1^{st} Phe-peak: #mu_{1} = %2.2f #pm %2.2f",fMu1,fMu1Err); TText *t5 = fFitLegend->AddText(line4.Data()); t5->SetBit(kCanDelete); const TString line5 = Form("Width 1^{st} Phe-peak: #sigma_{1} = %2.2f #pm %2.2f",fSigma1,fSigma1Err); TText *t6 = fFitLegend->AddText(line5.Data()); t6->SetBit(kCanDelete); const TString line7 = Form("#chi^{2} / N_{dof}: %4.2f / %3i",fChisquare,fNDF); TText *t7 = fFitLegend->AddText(line7.Data()); t7->SetBit(kCanDelete); const TString line8 = Form("Probability: %4.2f ",fProb); TText *t8 = fFitLegend->AddText(line8.Data()); t8->SetBit(kCanDelete); if (IsSinglePheFitOK()) { TText *t = fFitLegend->AddText(0.,0.,"Result of the Fit: OK"); t->SetBit(kCanDelete); } else { TText *t = fFitLegend->AddText("Result of the Fit: NOT OK"); t->SetBit(kCanDelete); } fFitLegend->SetFillColor(IsSinglePheFitOK() ? 80 : 2); fFitLegend->Draw(); return; } // ------------------------------------------------------------------------- // // Draw the histogram // // The following options can be chosen: // // "": displays the fHGausHist, the legend and fASinglePheFADCSlices and fAPedestalFADCSlices // "all": executes additionally MHGausEvents::Draw(), with option "fourierevents" // void MHCalibrationChargeBlindPix::Draw(Option_t *opt) { TString option(opt); option.ToLower(); Int_t win = 1; TVirtualPad *oldpad = gPad ? gPad : MH::MakeDefCanvas(this,900, 600); TVirtualPad *pad = NULL; oldpad->SetBorderMode(0); if (option.Contains("all")) { option.ReplaceAll("all",""); oldpad->Divide(2,1); win = 2; oldpad->cd(1); TVirtualPad *newpad = gPad; pad = newpad; pad->Divide(2,2); pad->cd(1); } else { pad = oldpad; pad->Divide(2,2); pad->cd(1); } if (!IsEmpty()) gPad->SetLogy(); gPad->SetTicks(); fHGausHist.Draw(opt); if (fFGausFit) { fFGausFit->SetLineColor(kBlue); fFGausFit->Draw("same"); } if (fSinglePheFit) { fSinglePheFit->SetLineColor(IsSinglePheFitOK() ? kGreen : kRed); fSinglePheFit->Draw("same"); } pad->cd(2); DrawLegend(); pad->cd(3); if (fHSinglePheFADCSlices) delete fHSinglePheFADCSlices; fHSinglePheFADCSlices = new TH1F(fASinglePheFADCSlices); fHSinglePheFADCSlices->SetName("SinglePheFADCSlices"); fHSinglePheFADCSlices->SetTitle(Form("%s%f","Assumed Single Phe FADC Slices, Sum > ",fSinglePheCut)); fHSinglePheFADCSlices->SetXTitle("FADC slice number"); fHSinglePheFADCSlices->SetYTitle("FADC counts"); fHSinglePheFADCSlices->Draw(opt); pad->cd(4); if (fHPedestalFADCSlices) delete fHPedestalFADCSlices; fHPedestalFADCSlices = new TH1F(fAPedestalFADCSlices); fHPedestalFADCSlices->SetName("PedestalFADCSlices"); fHPedestalFADCSlices->SetTitle(Form("%s%f","Pedestal FADC Slices, Sum < ",fSinglePheCut)); fHPedestalFADCSlices->SetXTitle("FADC slice number"); fHPedestalFADCSlices->SetYTitle("FADC counts"); fHPedestalFADCSlices->Draw(opt); if (win < 2) return; oldpad->cd(2); MHGausEvents::Draw("fourierevents"); }