/data/refman/pasoursint/CMSSW_5_3_10_patch2/src/Alignment/LaserAlignment/src/LASPeakFinder.cc

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#include "Alignment/LaserAlignment/interface/LASPeakFinder.h"


LASPeakFinder::LASPeakFinder() {

  amplitudeThreshold = 0.; // default

}





bool LASPeakFinder::FindPeakIn( const LASModuleProfile& aProfile, std::pair<double,double>& result, TH1D* histogram, const double offset ) {

  // this function will be propagated to the histo output file,
  // therefore we do some cosmetics already here
  TF1 fitFunction( "fitFunction", "gaus" );
  fitFunction.SetLineColor( 2 );
  fitFunction.SetLineWidth( 2 );

  std::pair<int,double> largestAmplitude( 0, 0. ); // strip, amplitude
  double anAmplitude = 0.;

  // need approximate position -> cast to int
  const int approxOffset = static_cast<int>( offset );

  // expected beam position (in strips)
  const unsigned int meanPosition = 256 + approxOffset;

  // backplane "alignment hole" approx. half size (in strips)
  const unsigned int halfWindowSize = 33;

  // loop over the strips in the "alignment hole"
  // to fill the histogram
  // and determine fit parameter estimates
  double sum0 = 0.; // this is the sum of all amplitudes
  for( unsigned int strip = meanPosition - halfWindowSize; strip < meanPosition + halfWindowSize; ++strip ) {
    anAmplitude = aProfile.GetValue( strip );
    sum0 += anAmplitude;
    histogram->SetBinContent( 1 + strip, anAmplitude );
    if( anAmplitude > largestAmplitude.second ) {
      largestAmplitude.first = strip; largestAmplitude.second = anAmplitude;
    }
  }

  // loop outside the "alignment hole"
  // to determine the noise level = sqrt(variance)
  double sum1 = 0., sum2 = 0.;
  int nStrips = 0;
  for( unsigned int strip = 0; strip < 512; ++strip ) {
    if( strip < meanPosition - halfWindowSize || strip > meanPosition + halfWindowSize ) {
      anAmplitude = aProfile.GetValue( strip );
      sum0 += anAmplitude;
      sum1 += anAmplitude;
      sum2 += pow( anAmplitude, 2 );
      nStrips++;
    }
  }

  // noise as sqrt of the amplitude variance
  const double noise = sqrt( 1. / ( nStrips - 1 ) * ( sum2 - pow( sum1, 2 ) / nStrips ) );

  // empty profile?
  if( fabs( sum0 ) < 1.e-3 ) {
    std::cerr << " [LASPeakFinder::FindPeakIn] ** WARNING: Empty profile (sum=" << sum0 << ")." << std::endl;
    return false;
  }

  // no reasonable peak?
  if( largestAmplitude.second < amplitudeThreshold * noise ) {
    std::cerr << " [LASPeakFinder::FindPeakIn] ** WARNING: No reasonably large peak." << std::endl;
    return false;
  }

  // prepare fit function: starting values..
  fitFunction.SetParameter( 0, largestAmplitude.second ); // amp
  fitFunction.SetParameter( 1, largestAmplitude.first ); // mean
  fitFunction.SetParameter( 2, 3. ); // width

  // ..and parameter limits
  fitFunction.SetParLimits( 0, largestAmplitude.second * 0.3, largestAmplitude.second * 1.8 ); // amp of the order of the peak height
  fitFunction.SetParLimits( 1, largestAmplitude.first - 12, largestAmplitude.first + 12 ); // mean around the peak maximum
  fitFunction.SetParLimits( 2, 0.5, 8. ); // reasonable width
  

  // fit options: Quiet / all Weights=1 / better Errors / enable fix&Bounds on parameters
  histogram->Fit( &fitFunction, "QWEB", "", largestAmplitude.first - 12, largestAmplitude.first + 12 );

  // prepare output
  result.first = fitFunction.GetParameter( 1 );
  result.second = fitFunction.GetParError( 1 );

  return true;

}





void LASPeakFinder::SetAmplitudeThreshold( double aThreshold ) {

  amplitudeThreshold = aThreshold;

}