/********************** Peak-Template *********************** this makro shell search for Peaks in data and form a template of these, so it can be used for detection of other peaks *************************************************************/ //root libraries #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #define NPIX 1440 #define NCELL 1024 #define FAD_MAX_SAMPLES 1024 #define HAVE_ZLIB //rootmacros #include "fits.h" #include "FOpenCalibFile.c" #include "discriminator.h" #include "discriminator.C" #include "zerosearch.h" #include "zerosearch.C" #include "factfir.C" #include "FOpenDataFile.h" #include "FOpenDataFile.c" #include "DrsCalibration.C" #include "DrsCalibration.h" #include "SpikeRemoval.h" #include "SpikeRemoval.C" //----------------------------------------------------------------------------- // Decleration of variables //----------------------------------------------------------------------------- bool breakout=false; int NEvents; vector AllPixelDataVector; vector StartCellVector; unsigned int CurrentEventID; size_t PXLxROI; UInt_t RegionOfInterest; UInt_t NumberOfPixels; size_t drs_n; vector drs_basemean; vector drs_gainmean; vector drs_triggeroffsetmean; vector Ameas(FAD_MAX_SAMPLES); // copy of the data (measured amplitude vector Vcorr(FAD_MAX_SAMPLES); // corrected Values vector Vslide(FAD_MAX_SAMPLES); // sliding average result vector Vcfd(FAD_MAX_SAMPLES); // CDF result vector Vcfd2(FAD_MAX_SAMPLES); // CDF result + 2nd sliding average // histograms const int NumberOfDebugHistoTypes = 7; const unsigned int Ameas_ = 0, N1mean_ = 1, Vcorr_ = 2, Vtest_ = 3, Vslide_ = 4, Vcfd_ = 5, Vcfd2_ = 6; TH1F* h; TH1F *debugHistos; TH2F *hPeakOverlay; //histogrammm for overlay of detected Peaks int hPeakOverlayXaxisLeft,hPeakOverlayXaxisRight; TObjArray hList; TObjArray hListBaseline; void BookHistos( ); void SaveHistograms( const char * ); //----------------------------------------------------------------------------- // Main //----------------------------------------------------------------------------- int tpeak( char *datafilename = "data/20111016_013.fits.gz", const char *drsfilename = "../../20111016_011.drs.fits.gz", const char *OutRootFileName = "../analysis/fpeak_cdf.Coutput.root", int firstevent = 0, int nevents = -1, int firstpixel = 0, int npixel = -1, bool spikeDebug = false, int avg1 = 14, int avg2 = 8, int OverlayWindowLeft = 50, int OverlayWindowRight = 150, int verbosityLevel = 1, // different verbosity levels can be implemented here bool ProduceGraphic = true ) { hPeakOverlayXaxisLeft = OverlayWindowLeft; hPeakOverlayXaxisRight = OverlayWindowRight; gStyle->SetPalette(1,0); gROOT->SetStyle("Plain"); //----------------------------------------------------------------------------- // Create (pointer to) Canvases, which are used in every run, // also in 'non-debug' runs //----------------------------------------------------------------------------- // Canvases only need if spike Debug, but I want to deklare // the pointers anyway ... TCanvas *cFiltered = NULL; if (spikeDebug){ cFiltered = new TCanvas("cFiltered","filtered DRS Waveforms",1,10,400,300); cFiltered->Divide(1, 3); } // Canvases to show the peak template TCanvas *cPeakOverlay = NULL; cPeakOverlay = new TCanvas("cPeakOverlay", "Overlay of detected Peaks", 1, 310, 400, 400); //----------------------------------------------------------------------------- // read FACT raw data // * remove spikes // * calculate baseline // * find peaks (CFD and normal discriminator) // * compute pulse height and pulse integral spektrum of the peaks //----------------------------------------------------------------------------- //----------------------------------------------------------------------------- // Filter-Settings //----------------------------------------------------------------------------- // CFD filter settings int k_cfd = 10; vector a_cfd(k_cfd, 0); double b_cfd = 1.; a_cfd[0]=-0.75; a_cfd[k_cfd-1]=1.; //----------------------------------------------------------------------------- // prepare datafile //----------------------------------------------------------------------------- // Open the data file fits * datafile; // Opens the raw data file and 'binds' the variables given as // Parameters to the data file. So they are filled with // raw data as soon as datafile->GetRow(int) is called. NEvents = OpenDataFile( datafilename, &datafile, AllPixelDataVector, StartCellVector, CurrentEventID, RegionOfInterest, NumberOfPixels, PXLxROI, verbosityLevel); if (NEvents == 0){ cout << "return code of OpenDataFile:" << datafilename<< endl; cout << "is zero -> aborting." << endl; return 1; } if (verbosityLevel > 0) cout <<"number of events in file: "<< NEvents << "\t"; if ( nevents == -1 || nevents > NEvents ) nevents = NEvents; // -1 means all! if (verbosityLevel > 0) cout <<"of, which "<< nevents << "will be processed"<< endl; if (verbosityLevel > 0) cout <<"Total # of Pixel: "<< NumberOfPixels << "\t"; if ( npixel == -1 || npixel > (int)NumberOfPixels ) npixel = (int)NumberOfPixels; // -1 means all! if (verbosityLevel > 0) cout <<"of, which "<< npixel << "will be processed"<< endl; //Get the DRS calibration FOpenCalibFile( drsfilename, drs_basemean, drs_gainmean, drs_triggeroffsetmean, drs_n); // Book the histograms BookHistos( ); //----------------------------------------------------------------------------- // Loops over Every Event and Pixel //----------------------------------------------------------------------------- for ( int ev = firstevent; ev < firstevent + nevents; ev++) { // Get an Event --> consists of 1440 Pixel ...erm....data datafile->GetRow( ev ); //------------------------------------- // Loop over every Pixel of Event //------------------------------------- for ( int pix = firstpixel; pix < firstpixel + npixel; pix++ ){ if (verbosityLevel > 0){ if (pix == firstpixel){ cout << "Processing Event: " << CurrentEventID << "/" << nevents << endl; } } applyDrsCalibration( Ameas,pix,12,12, drs_basemean, drs_gainmean, drs_triggeroffsetmean, RegionOfInterest, AllPixelDataVector, StartCellVector); // finds spikes in the raw data, and interpolates the value // spikes are: 1 or 2 slice wide, positive non physical artifacts removeSpikes (Ameas, Vcorr); // filter Vcorr with sliding average using FIR filter function sliding_avg(Vcorr, Vslide, avg1); // filter Vslide with CFD using FIR filter function factfir(b_cfd , a_cfd, k_cfd, Vslide, Vcfd); // filter Vcfd with sliding average using FIR filter function sliding_avg(Vcfd, Vcfd2, avg2); // peaks in Ameas[] are found by searching for zero crossings // in Vcfd2 // first Argument 1 means ... *rising* edge // second Argument 1 means ... search with stepsize 1 ... 10 is okay as well vector * zXings = zerosearch( Vcfd2 , 1 , 1); // zXings means "zero cross ings" EnlargeRegion(*zXings, 10, 10); findAbsMaxInRegions(*zXings, Vslide); removeMaximaBelow( *zXings, 3.0); removeRegionWithMaxOnEdge( *zXings, 2); removeRegionOnFallingEdge( *zXings, 100); //following Code should produce the Overlay of peaks vector::iterator it; for (it = zXings->begin() ; it < zXings->end() ; it++){ int Left = it->maxPos - OverlayWindowLeft; int Right = it->maxPos + OverlayWindowRight; if (Left < 0) Left =0; if (Right > (int)Vcorr.size() ) Right=Vcorr.size() ; for ( int pos = Left; pos < Right; pos++){ hPeakOverlay->Fill( pos - (it->maxPos), Vcorr[pos]) ; } } if ( spikeDebug ){ // TODO do this correct. The vectors should be the rigt ones... this is just luck debugHistos[Ameas_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5); debugHistos[Vcorr_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5); debugHistos[Vslide_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5); debugHistos[Vcfd_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5); debugHistos[Vcfd2_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5); for ( unsigned int sl = 0; sl < RegionOfInterest; sl++){ debugHistos[Ameas_].SetBinContent(sl, Ameas[sl]); debugHistos[Vcorr_].SetBinContent(sl, Vcorr[sl]); debugHistos[Vslide_].SetBinContent( sl, Vslide[sl] ); debugHistos[Vcfd_].SetBinContent( sl, Vcfd[sl] ); debugHistos[Vcfd2_].SetBinContent( sl, Vcfd2[sl] ); } cFiltered->cd(1); gPad->SetGrid(); debugHistos[Vcorr_].Draw(); cFiltered->cd(2); gPad->SetGrid(); debugHistos[Vslide_].Draw(); TBox *OneBox; vector MyBoxes; for (unsigned int i=0; isize(); i++){ OneBox = new TBox( zXings->at(i).maxPos -10 , zXings->at(i).maxVal -0.5, zXings->at(i).maxPos +10 , zXings->at(i).maxVal +0.5); OneBox->SetLineColor(kBlue); OneBox->SetLineWidth(1); OneBox->SetFillStyle(0); OneBox->SetFillColor(kRed); MyBoxes.push_back(OneBox); OneBox->Draw(); } cFiltered->cd(3); gPad->SetGrid(); debugHistos[Vcfd2_].Draw(); TLine *zeroline = new TLine(0, 0, 1024, 0); zeroline->SetLineColor(kBlue); zeroline->Draw(); cFiltered->Update(); //OVERLAY PEAKS cPeakOverlay->cd(); hPeakOverlay->Draw("COLZ"); cPeakOverlay->Modified(); cPeakOverlay->Update(); //Process gui events asynchronously during input TTimer timer("gSystem->ProcessEvents();", 50, kFALSE); timer.TurnOn(); TString input = Getline("Type 'q' to exit, to go on: "); timer.TurnOff(); if (input=="q\n") { breakout=true; } //TODO!!!!!!!!! // do some Garbage collection ... // all the Objects on the heap should be deleted here. }// end of if(spikeDebug) delete zXings; if (breakout) break; } //------------------------------------- // end of loop over pixels //------------------------------------- if (ProduceGraphic){ if (ev % 50 == 0){ //OVERLAY PEAKS cPeakOverlay->cd(); hPeakOverlay->Draw("COLZ"); cPeakOverlay->Modified(); cPeakOverlay->Update(); } } if (breakout) break; } //------------------------------------- // end of loop over Events //------------------------------------- if (ProduceGraphic){ //OVERLAY PEAKS cPeakOverlay->cd(); hPeakOverlay->Draw("COLZ"); cPeakOverlay->Modified(); cPeakOverlay->Update(); } SaveHistograms( OutRootFileName ); return( 0 ); } // booking and parameter settings for all histos void BookHistos( ){ debugHistos = new TH1F[ NumberOfDebugHistoTypes ]; for ( int type = 0; type < NumberOfDebugHistoTypes; type++){ debugHistos[ type ].SetBins(1024, 0, 1024); debugHistos[ type ].SetLineColor(1); debugHistos[ type ].SetLineWidth(2); // set X axis paras debugHistos[ type ].GetXaxis()->SetLabelSize(0.1); debugHistos[ type ].GetXaxis()->SetTitleSize(0.1); debugHistos[ type ].GetXaxis()->SetTitleOffset(1.2); debugHistos[ type ].GetXaxis()->SetTitle(Form("Time slice (%.1f ns/slice)", 1./2.)); // set Y axis paras debugHistos[ type ].GetYaxis()->SetLabelSize(0.1); debugHistos[ type ].GetYaxis()->SetTitleSize(0.1); debugHistos[ type ].GetYaxis()->SetTitleOffset(0.3); debugHistos[ type ].GetYaxis()->SetTitle("Amplitude (a.u.)"); } hPeakOverlay = new TH2F("hPeakOverlay", "Overlay of detected Peaks", hPeakOverlayXaxisLeft + hPeakOverlayXaxisRight , (-1*hPeakOverlayXaxisLeft)-0.5, hPeakOverlayXaxisRight-0.5 , 4096, -48.5, 1999.5 ); hPeakOverlay->GetXaxis()->SetTitle( "Timeslices" ); hPeakOverlay->GetYaxis()->SetTitle( "Amplitude [a.u.]" ); hList.Add( hPeakOverlay ); } void SaveHistograms(const char * loc_fname ){ // create the histogram file (replace if already existing) TFile tf( loc_fname, "RECREATE"); hList.Write(); // write the major histograms into the top level directory tf.Close(); // close the file } // end of SaveHistograms( char * loc_fname )