timing_example_rebin.cc

#include <TROOT.h>
 
// main function, needs to have the same name as the file
void timing_example_rebin() 
{
    // path to the data
    string path("examples/exampledata/timingdata/");
    
    // initialize class
    Experimental mymeas(0);
    
    // read data
    mymeas.ReadFile(path, true, 0, "examples/timing_example_rebin_results.root");
 
    // change sampling rate
    int combine_n_bins = 4;
    mymeas.RebinAll(combine_n_bins);
    cout << "\nnew bins: " << mymeas.binNumber << endl;
 
    // apply baseline correction 
    // CorrectBaselineMin() is optimized for SiPM measurements with a high dark count rate
    // searches for the minimum sum over 30 bins without smoothing (0.) from bin 250 (78 ns) to bin 320 (110 ns) 
    mymeas.CorrectBaselineMin({ 10, 75, 110 });
 
    mymeas.PrintChargeSpectrumWF(10, 10, 80, 140, 10, -1, 10);
 
    // parameters for signal integration
    float intwindowminus = 15.; // lower integration window in ns relative to max
    float intwindowplus = 85.;  // upper integration window in ns relative to max
    float findmaxfrom = 95.;    // assume signal from muon arrives between here ...
    float findmaxto = 140.;     // ... and here (depends on trigger delay setting)
    float rangestart = -100;    // plot range
    float rangeend = 2500;      // plot range
    int number_of_bins = 100;   // number of bins in the histogram (choose according to plot range and number of entries)
 
    // plot integrated signals of all channels
    mymeas.PrintChargeSpectrum(intwindowminus, intwindowplus, findmaxfrom, findmaxto, rangestart, rangeend, number_of_bins, rangestart, rangeend);
    
    // investigate correlation of signals between channels
    mymeas.ChargeCorrelation(intwindowminus, intwindowplus, findmaxfrom, findmaxto, rangestart, rangeend, 100, 2, 3, true);
    mymeas.ChargeCorrelation(intwindowminus, intwindowplus, findmaxfrom, findmaxto, rangestart, rangeend, 100, 2, 14, true);
    mymeas.ChargeCorrelation(intwindowminus, intwindowplus, findmaxfrom, findmaxto, rangestart, rangeend, 100, 2, 26, true);
 
    // filter out pedestal events by setting a threshold of 100 mV*ns of the integrals of the first two channels and 200 mv*ns of the other two
    mymeas.IntegralFilter({ 100, 100, 200, 200 }, { false, false, false, false }, intwindowminus, intwindowplus, findmaxfrom, findmaxto);
 
    // plot integrated signals of all channels again to see effect of IntegralFilter 
    mymeas.PrintChargeSpectrum(intwindowminus, intwindowplus, findmaxfrom, findmaxto, rangestart, rangeend, number_of_bins, rangestart, rangeend);
 
    // plot the average waveforms of all events that are not skipped per channel
    mymeas.PlotChannelAverages();
 
    // apply some gauss smoothing to catch the first arriving photons with a low cfd fraction
    // this is usually not needed and usually has a negative effect on the timing resolution
    // try different sigma values (currently 0.6 ns) for the smoothing to see the effect
    mymeas.SmoothAll(.6);
 
    // get timing for 30% CFD between t=findmaxfrom and t=findmaxto, 0 means no smoothing, true to start search at t=findmaxfrom
    mymeas.GetTimingCFD(0.3, findmaxfrom, findmaxto, 0, true);
    
    // plot results between t=findmaxfrom and t=findmaxto and fit gauss
    mymeas.Print_GetTimingCFD(findmaxfrom, findmaxto, 1, 50);
 
    // plot distribution of time differences between two groups of channels in range 0 ns to 8 ns with 100 bins 
    // and fit a gauss in range 1 ns to 6 ns
    mymeas.Print_GetTimingCFD_diff({ 14 }, { 26 }, 0, 8, 1, 50, 1, 6, "S");
 
    // apply cut for time difference between two channels (ch14 and ch26, events with time differences <1.5 ns or >5 ns will be discarded)
    mymeas.SkipEventsTimeDiffCut(14, 26, 1.5, 5);
 
    // plot non-skipped waveforms for certain events with integration window and timing info
    // plot range
    double ymin = -10;
    double ymax = 120;
    int how_many = 50; // Needs to be < mymeas.nevents
    // activate batch mode: only write plots to root file, do not display plots immediately (would be a lot of plots)
    // gROOT->SetBatch(kTRUE); 
    for (int i = 1; i < mymeas.nevents; i += static_cast<unsigned int>(mymeas.nevents / how_many)) {
        // plot only events that are not skipped
        if (!mymeas.skip_event[i - 1]) {
            mymeas.PrintChargeSpectrumWF(intwindowminus, intwindowplus, findmaxfrom, findmaxto, i, ymin, ymax);
        }
    }
    // deactivate batch mode
    gROOT->SetBatch(kFALSE);
}