/* ======================================================================== *\ ! ! * ! * 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): Hendrik Bartko, 09/2004 ! Author(s): Markus Gaug, 05/2004 ! Author(s): Diego Tescaro, 05/2004 ! ! Copyright: MAGIC Software Development, 2000-2004 ! ! \* ======================================================================== */ ////////////////////////////////////////////////////////////////////////////// // // MExtractTimeAndChargeDigitalFilter // // Hendrik has promised to write more documentation // // The following variables have to be set by the derived class and // do not have defaults: // - fNumHiGainSamples // - fNumLoGainSamples // - fSqrtHiGainSamples // - fSqrtLoGainSamples // // The reading of automatic weights files (color, type) can be switched // off using EnableAutomaticWeights(kFALSE). // // An empty name or "-" as the weights file name is a synonym for // setting all weights to 1 // // The digital filter can even do a little extrapolation around the // extraction window. For real Pulses having their maximum around // slice 0 the extracted time is similar to a gaussian around 0 with // sigma 0.4. // // // Input Containers: // MRawEvtData // MRawRunHeader // MPedestalCam // [MCalibrationPattern] // // Output Containers: // MArrivalTimeCam // MExtractedSignalCam // ////////////////////////////////////////////////////////////////////////////// #include "MExtractTimeAndChargeDigitalFilter.h" #include #include #include #include "MLog.h" #include "MLogManip.h" #include "MParList.h" #include "MRawRunHeader.h" #include "MCalibrationPattern.h" #include "MExtractedSignalCam.h" #include "MExtralgoDigitalFilter.h" ClassImp(MExtractTimeAndChargeDigitalFilter); using namespace std; const Byte_t MExtractTimeAndChargeDigitalFilter::fgHiGainFirst = 0; const Byte_t MExtractTimeAndChargeDigitalFilter::fgHiGainLast = 16; const Int_t MExtractTimeAndChargeDigitalFilter::fgLoGainFirst = 1; const Byte_t MExtractTimeAndChargeDigitalFilter::fgLoGainLast = 14; const Int_t MExtractTimeAndChargeDigitalFilter::fgBinningResolutionHiGain = 10; const Int_t MExtractTimeAndChargeDigitalFilter::fgBinningResolutionLoGain = 10; const Float_t MExtractTimeAndChargeDigitalFilter::fgOffsetLoGain = 0.95; // -------------------------------------------------------------------------- // // Default constructor. // // Calls: // - SetWindowSize(); // - SetRange(fgHiGainFirst, fgHiGainLast, fgLoGainFirst, fgLoGainLast) // - SetBinningResolution(); // // Sets all weights to 1. // MExtractTimeAndChargeDigitalFilter::MExtractTimeAndChargeDigitalFilter(const char *name, const char *title) : fBinningResolutionHiGain(fgBinningResolutionHiGain), fBinningResolutionLoGain(fgBinningResolutionLoGain), fAutomaticWeights(kTRUE) { fName = name ? name : "MExtractTimeAndChargeDigitalFilter"; fTitle = title ? title : "Digital Filter"; SetRange(fgHiGainFirst, fgHiGainLast, fgLoGainFirst, fgLoGainLast); SetWindowSize(3, 5); SetOffsetLoGain(fgOffsetLoGain); } // --------------------------------------------------------------------------------------- // // Checks: // - if a window is bigger than the one defined by the ranges, set it // to the available range // // Sets: // - fNumHiGainSamples to: (Float_t)fWindowSizeHiGain // - fNumLoGainSamples to: (Float_t)fWindowSizeLoGain // // This function might be used to turn the digital filter into a // sliding window extractor by setting the filename to NULL // void MExtractTimeAndChargeDigitalFilter::SetWindowSize(Int_t windowh, Int_t windowl) { if (windowh > fHiGainLast-fHiGainFirst+1) { *fLog << err << "ERROR - The new hi-gain window size exceeds the extraction range." << endl; return; } if (windowl > (int)fLoGainLast-fLoGainFirst+1) { *fLog << err << "ERROR - The new hi-gain window size exceeds the extraction range." << endl; return; } fWindowSizeHiGain = windowh; fWindowSizeLoGain = windowl; /* const Int_t availhirange = (Int_t)(); if (fWindowSizeHiGain > availhirange) { *fLog << warn << GetDescriptor() << ": Hi Gain window size: " << Form("%2i",fWindowSizeHiGain); *fLog << " is bigger than available range: [" << Form("%2i", (int)fHiGainFirst); *fLog << "," << Form("%21", (int)fHiGainLast) << "]" << endl; fHiGainLast = fHiGainFirst + fWindowSizeHiGain; *fLog << warn << GetDescriptor() << ": Will set the upper range to: " << (int)fHiGainLast << endl; } if (fWindowSizeHiGain < 2) { fWindowSizeHiGain = 2; *fLog << warn << GetDescriptor() << ": High Gain window size set to two samples" << endl; } if (fLoGainLast != 0 && fWindowSizeLoGain != 0) { const Int_t availlorange = (Int_t)(fLoGainLast-fLoGainFirst+1); if (fWindowSizeLoGain > availlorange) { *fLog << warn << GetDescriptor() << ": Lo Gain window size: " << Form("%2i",fWindowSizeLoGain); *fLog << " is bigger than available range: [" << Form("%2i", (int)fLoGainFirst); *fLog << "," << Form("%21", (int)fLoGainLast) << "]" << endl; fLoGainLast = fLoGainFirst + fWindowSizeLoGain; *fLog << warn << GetDescriptor() << ": Will set the upper range to: " << (int)fLoGainLast << endl; } if (fWindowSizeLoGain<2) { fWindowSizeLoGain = 2; *fLog << warn << GetDescriptor() << ": Low Gain window size set to two samples" << endl; } }*/ // // We need here the effective number of samples which is about 2.5 in the case of a window // size of 6. The exact numbers have to be found still. // fNumHiGainSamples = fWindowSizeHiGain; fNumLoGainSamples = fWindowSizeLoGain; fSqrtHiGainSamples = TMath::Sqrt(fNumHiGainSamples); fSqrtLoGainSamples = TMath::Sqrt(fNumLoGainSamples); } // -------------------------------------------------------------------------- // // Executing MExtractTimeAndCharge::PreProcess and searching for // MCalibrationPattern // Int_t MExtractTimeAndChargeDigitalFilter::PreProcess(MParList *pList) { if (!MExtractTimeAndCharge::PreProcess(pList)) return kFALSE; fCalibPattern = (MCalibrationPattern*)pList->FindObject("MCalibrationPattern"); return kTRUE; } // -------------------------------------------------------------------------- // // The weights are determined using GetAutimaticWeights(). // // kFALSE is returned if it returned an error. // kTRUE is returned if no new weights were set. // // If new weights are set // fNumHiGainSamples // fNumLoGainSamples // fSqrtHiGainSamples // fSqrtLoGainSamples // and // fSignals->SetUsedFADCSlices(...) // is updated accordingly. // Bool_t MExtractTimeAndChargeDigitalFilter::GetWeights() { switch (GetAutomaticWeights()) { case kERROR: // An error occured return kFALSE; case kFALSE: // No new weights set return kTRUE; } // // We need here the effective number of samples. In pricipal the number // is different depending on the weights used and must be set // event by event. // fNumHiGainSamples = fAmpWeightsHiGain.GetSum()/fBinningResolutionHiGain; fNumLoGainSamples = fAmpWeightsLoGain.GetSum()/fBinningResolutionLoGain; fSqrtHiGainSamples = TMath::Sqrt(fNumHiGainSamples); fSqrtLoGainSamples = TMath::Sqrt(fNumLoGainSamples); // From MExtractTimeAndCharge::ReInit if (fSignals) fSignals->SetUsedFADCSlices(fHiGainFirst, fHiGainLast/*+fHiLoLast*/, fNumHiGainSamples, fLoGainFirst, fLoGainLast, fNumLoGainSamples); return kTRUE; } // -------------------------------------------------------------------------- // // InitArrays // // Gets called in the ReInit() and initialized the arrays // Bool_t MExtractTimeAndChargeDigitalFilter::InitArrays(Int_t n) { if (!fRunHeader) return kFALSE; return GetWeights(); } // -------------------------------------------------------------------------- // // Check if reading a new weights file is necessary because the calibration // pattern has changed. (Cannot be done in ReInit, because at this time // the calibration pattern is not available. // Then process the event. // Int_t MExtractTimeAndChargeDigitalFilter::Process() { // Change Weights if the calibration patter changes if (!GetWeights()) return kERROR; // Process event return MExtractTimeAndCharge::Process(); } // -------------------------------------------------------------------------- // // Apply the digital filter algorithm to the high-gain slices. // void MExtractTimeAndChargeDigitalFilter::FindTimeAndChargeHiGain2(const Float_t *ptr, Int_t num, Float_t &sum, Float_t &dsum, Float_t &time, Float_t &dtime, Byte_t sat, Int_t maxpos) const { // Do some handling if maxpos is last slice! MExtralgoDigitalFilter df(fBinningResolutionHiGain, fWindowSizeHiGain, fAmpWeightsHiGain.GetArray(), fTimeWeightsHiGain.GetArray(), fPulseHiGain.GetArray()); df.SetData(num, ptr); if (IsNoiseCalculation()) { sum = df.ExtractNoise(); return; } df.Extract(/*maxpos*/); df.GetSignal(sum, dsum); df.GetTime(time, dtime); } void MExtractTimeAndChargeDigitalFilter::FindTimeAndChargeLoGain2(const Float_t *ptr, Int_t num, Float_t &sum, Float_t &dsum, Float_t &time, Float_t &dtime, Byte_t sat, Int_t maxpos) const { MExtralgoDigitalFilter df(fBinningResolutionLoGain, fWindowSizeLoGain, fAmpWeightsLoGain.GetArray(), fTimeWeightsLoGain.GetArray(), fPulseLoGain.GetArray()); df.SetData(num, ptr); if (IsNoiseCalculation()) { sum = df.ExtractNoise(); return; } df.Extract(/*maxpos*/); df.GetSignal(sum, dsum); df.GetTime(time, dtime); } // -------------------------------------------------------------------------- // // Read the setup from a TEnv, eg: // MJPedestal.MExtractor.WeightsFile: filename // MJPedestal.MExtractor.AutomaticWeights: off // Int_t MExtractTimeAndChargeDigitalFilter::ReadEnv(const TEnv &env, TString prefix, Bool_t print) { Bool_t rc = kFALSE; if (IsEnvDefined(env, prefix, "AutomaticWeights", print)) { EnableAutomaticWeights(GetEnvValue(env, prefix, "AutomaticWeights", fAutomaticWeights)); rc = kTRUE; } if (IsEnvDefined(env, prefix, "WeightsFile", print)) { SetNameWeightsFile(GetEnvValue(env, prefix, "WeightsFile", "")); rc = kTRUE; } return MExtractTimeAndCharge::ReadEnv(env, prefix, print) ? kTRUE : rc; } //---------------------------------------------------------------------------- // // If automatic weights are requested, no default weights (name.IsNull()) // are requested, fRunHeader is available and fRunHeader->IsMonteCarloRun() // is true prepend "MC_" in from of the name. // // return poth+name; // TString MExtractTimeAndChargeDigitalFilter::CompileWeightFileName(TString path, const TString &name) const { if (fAutomaticWeights && !name.IsNull() && fRunHeader && fRunHeader->IsMonteCarloRun()) path += "MC_"; path += name; return path; } //---------------------------------------------------------------------------- // // Read a pre-defined weights file into the class. // This is mandatory for the extraction // // If filenname is empty, then all weights will be set to 1. // // Returns: // kTRUE: new weights set // kFALSE: no weights set // kERROR: error // Int_t MExtractTimeAndChargeDigitalFilter::ReadWeightsFile(TString filename, TString path) { if (filename.IsNull()) { fAmpWeightsHiGain .Set(fBinningResolutionHiGain*fWindowSizeHiGain); fAmpWeightsLoGain .Set(fBinningResolutionLoGain*fWindowSizeLoGain); fTimeWeightsHiGain.Set(fBinningResolutionHiGain*fWindowSizeHiGain); fTimeWeightsLoGain.Set(fBinningResolutionLoGain*fWindowSizeLoGain); fAmpWeightsHiGain.Reset(1); fTimeWeightsHiGain.Reset(1); fAmpWeightsLoGain.Reset(1); fTimeWeightsLoGain.Reset(1); return kTRUE; } // Add "MC_" in front of the filename if necessary filename = CompileWeightFileName(path, filename); //filename = MJob::ExpandPath(filename); if (fNameWeightsFileSet==filename) return kFALSE; // No file read ifstream fin(filename.Data()); if (!fin) { *fLog << err << GetDescriptor() << ": ERROR - Cannot open file " << filename << ": "; *fLog << strerror(errno) << endl; return kERROR; } *fLog << all << GetDescriptor() << ": Reading weights in " << filename << "..." << flush; Int_t len = 0; Int_t cnt = 0; Int_t line = 0; Bool_t hi = kFALSE; Bool_t lo = kFALSE; TString str; while (1) { str.ReadLine(fin); if (!fin) break; line++; if (str.Contains("# High Gain Weights:")) { if (hi) { *fLog << err << "ERROR - 'High Gain Weights' found twice in line #" << line << "." << endl; return kERROR; } if (2!=sscanf(str.Data(), "# High Gain Weights: %2i %2i", &fWindowSizeHiGain, &fBinningResolutionHiGain)) { *fLog << err << "ERROR - Wrong number of arguments in line #" << line << ":" << endl; *fLog << str << endl; return kERROR; } len = fBinningResolutionHiGain*fWindowSizeHiGain; fAmpWeightsHiGain .Set(len); fTimeWeightsHiGain.Set(len); fPulseHiGain.Set(len); hi = kTRUE; continue; } if (str.Contains("# Low Gain Weights:")) { if (lo) { *fLog << err << "ERROR - 'Lo Gain Weights' found twice in line #" << line << "." << endl; return kERROR; } if (2!=sscanf(str.Data(),"# Low Gain Weights: %2i %2i", &fWindowSizeLoGain, &fBinningResolutionLoGain)) { *fLog << err << "ERROR - Wrong number of arguments in line #" << line << ":" << endl; *fLog << str << endl; return kERROR; } len = fBinningResolutionLoGain*fWindowSizeLoGain; fAmpWeightsLoGain .Set(len); fTimeWeightsLoGain.Set(len); fPulseLoGain.Set(len); lo = kTRUE; continue; } // Handle lines with comments if (str.Contains("#")) continue; // Nothing found so far if (len == 0) continue; if (3!=sscanf(str.Data(), "%f %f %f", lo ? &fAmpWeightsLoGain [cnt] : &fAmpWeightsHiGain [cnt], lo ? &fTimeWeightsLoGain[cnt] : &fTimeWeightsHiGain[cnt], lo ? &fPulseLoGain[cnt] : &fPulseHiGain[cnt])) { *fLog << err << "ERROR - Wrong number of arguments in line #" << line << ":" << endl; *fLog << str << endl; return kERROR; } if (++cnt == len) { len = 0; cnt = 0; } } if (cnt != len) { *fLog << err << "ERROR - Size mismatch in weights file " << filename << endl; return kERROR; } if (!hi) { *fLog << err << "ERROR - No correct header found in weights file " << filename << endl; return kERROR; } *fLog << "done." << endl; *fLog << inf << " File contains " << fWindowSizeHiGain << " hi-gain slices "; *fLog << "with a resolution of " << fBinningResolutionHiGain << endl; *fLog << inf << " File contains " << fWindowSizeLoGain << " lo-gain slices "; *fLog << "with a resolution of " << fBinningResolutionLoGain << endl; //CalcBinningResArrays(); switch (fWindowSizeHiGain) { case 4: SetResolutionPerPheHiGain(0.036); break; case 6: SetResolutionPerPheHiGain(0.021); break; default: *fLog << warn << "Could not set the high-gain extractor resolution per phe for window size " << fWindowSizeHiGain << endl; } switch (fWindowSizeLoGain) { case 4: SetResolutionPerPheLoGain(0.005); break; case 6: SetResolutionPerPheLoGain(0.004); break; default: *fLog << warn << "Could not set the low-gain extractor resolution per phe for window size " << fWindowSizeLoGain << endl; } fNameWeightsFileSet = filename; return kTRUE; } //---------------------------------------------------------------------------- // // The default (+ prepending possible "MC_") is read for: // // - RunType: Pedestal (independant of fAutomaticWeights) // - fAutomaticWeights disabled // // if fAutomaticWeights enabled: // - fNameWeightsFile.IsNull() // - !fCalibPattern // - fCalibPattern->GetPulserColor()==MCalibrationCam::kNONE // // If automatic weights are enabled, the case above didn't take place and // fNameWeightsFile starts with "calibration_weights_" // - the color (blue, UV) is replaced by the appropriate one // taken from the calibration pattern // // In most cases a debug output is printed. Further output about the color // determination can be switched on with debug level > 5; // // Returns: // kFALSE: No new weights set // kTRUE: New weights set // kERROR: Error // Int_t MExtractTimeAndChargeDigitalFilter::GetAutomaticWeights() { const Ssiz_t pos = fNameWeightsFile.Last('/')+1; const Ssiz_t len = fNameWeightsFile.Length(); // Split file name in path and name TString path = fNameWeightsFile(0, pos>=0?pos:len); TString name = fNameWeightsFile(pos>=0?pos:0, len); // Remove trailing "MC_" for automatic weights if (fAutomaticWeights && name.BeginsWith("MC_")) name.Remove(0, 3); // In case of a pedetsal run no calibration pattern can be available // the default weights are always used. if (fRunHeader->GetRunType()==MRawRunHeader::kRTPedestal) { *fLog << dbg << "Pedestal file... using default weights: " << fNameWeightsFile << endl; return ReadWeightsFile(name, path); } // If automatic weights are switched off use default weights if (!fAutomaticWeights) { *fLog << dbg << "Automatic weights switched off... using default weights: " << fNameWeightsFile << endl; return ReadWeightsFile(name, path); } // If automatic weights are switched on but no filename is given raise error if (fNameWeightsFile.IsNull()) { *fLog << err << "ERROR - Cannot get automatic weights without default filename." << endl; return kERROR; } // If this is no pedestal run, automatic weights are requested and a // filename for the weights file is given pedestal-extraction from // cosmics data is assumed. if (!fCalibPattern) { *fLog << dbg << "No decoded calibration pattern available... using default weights: " << fNameWeightsFile << endl; return ReadWeightsFile(name, path); } const Bool_t debug = gLog.GetDebugLevel()>5; // If no calibration pattern is available do not change the // current weighs or current weights file name. if (fCalibPattern->GetPulserColor()==MCalibrationCam::kNONE) { // If we are extracting data and the calibration pattern is kNONE // we assume that it is a data file without interleaved events // and calibration pattern information available. if ((fRunHeader->GetRunType()!=MRawRunHeader::kRTData && !fRunHeader->IsMonteCarloRun()) || debug) *fLog << dbg << "No calibration color set so far... guessing default: " << fNameWeightsFile << endl; return ReadWeightsFile(name, path); } if (debug) { *fLog << dbg << endl; *fLog << underline << GetDescriptor() << endl; *fLog << " Trying to get automatic weight for " << fNameWeightsFile << endl; *fLog << " Run type: "; } if (name.BeginsWith("calibration_weights_") && fCalibPattern) { if (debug) *fLog << " Calibration with color " << fCalibPattern->GetPulserColorStr() << ", setting "; switch (fCalibPattern->GetPulserColor()) { case MCalibrationCam::kBLUE: // 2 case MCalibrationCam::kGREEN: // 1 if (debug) *fLog << "blue/green, "; name.ReplaceAll("UV", "blue"); break; case MCalibrationCam::kUV: // 3 case MCalibrationCam::kCT1: // 0 if (debug) *fLog << "UV/CT1, "; name.ReplaceAll("blue", "UV"); break; case MCalibrationCam::kNONE: break; default: // kNone + etc *fLog << err << "ERROR - Cannot get automatic weights for " << fCalibPattern->GetPulserColorStr() << endl; return kERROR; } } return ReadWeightsFile(name, path); } //---------------------------------------------------------------------------- // // Print the setup of the digital filter extraction used. Use // the option "weights" if you want to print also all weights. // void MExtractTimeAndChargeDigitalFilter::Print(Option_t *o) const { if (IsA()==Class()) *fLog << GetDescriptor() << ":" << endl; MExtractTimeAndCharge::Print(o); *fLog << " Window Size HiGain: " << setw(2) << fWindowSizeHiGain << " LoGain: " << setw(2) << fWindowSizeLoGain << endl; *fLog << " Binning Res HiGain: " << setw(2) << fBinningResolutionHiGain << " LoGain: " << setw(2) << fBinningResolutionHiGain << endl; *fLog << " Weights File desired: " << (fNameWeightsFile.IsNull()?"-":fNameWeightsFile.Data()) << endl; if (!fNameWeightsFileSet.IsNull()) *fLog << " Weights File set: " << fNameWeightsFileSet << endl; TString opt(o); if (!opt.Contains("weights")) return; *fLog << endl; *fLog << inf << "Using the following weights: " << endl; *fLog << "Hi-Gain:" << endl; for (Int_t i=0; i