#include <LASPeakFinder.h>

Public Member Functions
bool	FindPeakIn (const LASModuleProfile &, std::pair< double, double > &, TH1D *, const double)

	LASPeakFinder ()

void	SetAmplitudeThreshold (double)

Private Attributes
double	amplitudeThreshold

Detailed Description

class for fitting laser peaks in a LASModuleProfile; (will replace BeamProfileFitter)

Definition at line 19 of file LASPeakFinder.h.

Constructor & Destructor Documentation

LASPeakFinder::LASPeakFinder ( )

Definition at line 7 of file LASPeakFinder.cc.

References amplitudeThreshold.

                              {
   amplitudeThreshold = 0.;  // default
 }

Member Function Documentation

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

set a profile to work on and start peak finding; the pair<> will return mean/meanError (in strips); offset is necessary for tob modules which are hit off-center

Definition at line 16 of file LASPeakFinder.cc.

References amplitudeThreshold, EcnaPython_AdcPeg12_S1_10_R170298_1_0_150_Dee0::cerr, alignCSCRings::e, LASModuleProfile::GetValue(), gpuVertexFinder::noise, me0TriggerPseudoDigis_cff::nStrips, hltrates_dqm_sourceclient-live_cfg::offset, funct::pow(), mathSSE::sqrt(), and digitizers_cfi::strip.

Referenced by LaserAlignment::endRunProduce().

                                                     {
   // 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;
 }