GenericMinL3Algorithm Class Reference

#include <GenericMinL3Algorithm.h>

Public Member Functions
	GenericMinL3Algorithm (bool normalise=false)
std::vector< float >	iterate (const std::vector< std::vector< float > > &eventMatrix, const std::vector< float > &energyVector)
std::vector< float >	iterate (const std::vector< std::vector< float > > &eventMatrix, const std::vector< float > &energyVector, int nIter)
	~GenericMinL3Algorithm ()
	Destructor. More...

Private Attributes
bool	normaliseFlag

Detailed Description

Implementation of the L3 Collaboration algorithm to solve a system Ax = B by minimization of |Ax-B| using an iterative linear approach

Author

R.Ofierzynski, CERN

Definition at line 14 of file GenericMinL3Algorithm.h.

Constructor & Destructor Documentation

GenericMinL3Algorithm()

GenericMinL3Algorithm::GenericMinL3Algorithm

(

bool

normalise = false

)

Default constructor CAVEAT: use normalise = true only if you know what you're doing!

Definition at line 10 of file GenericMinL3Algorithm.cc.

    : normaliseFlag(normalise)
// if normalize=true: for all events sum the e25ovTRP. then take the mean value and rescale all TrP
{}

~GenericMinL3Algorithm()

GenericMinL3Algorithm::~GenericMinL3Algorithm

(

)

Destructor.

Definition at line 15 of file GenericMinL3Algorithm.cc.

{}

Member Function Documentation

iterate() [1/2]

std::vector< float > GenericMinL3Algorithm::iterate	(	const std::vector< std::vector< float > > &	eventMatrix,
		const std::vector< float > &	energyVector
	)

perform one iteration using the Minimization L3 Algorithm returns the vector of calibration coefficients

Definition at line 49 of file GenericMinL3Algorithm.cc.

                                                                                        {
  std::vector<float> solution;
  std::vector<float> myEnergyVector(energyVector);
 
  int Nevents = eventMatrix.size();       // Number of events to calibrate with
  int Nchannels = eventMatrix[0].size();  // Number of channel coefficients
 
  // Sanity check
  if (Nevents != int(myEnergyVector.size())) {
    std::cout << "GenericMinL3Algorithm::iterate(): Error: bad matrix dimensions. Dropping out." << std::endl;
    return solution;  // empty vector !
  }
 
  // initialize the solution vector with 1.
  solution.assign(Nchannels, 1.);
 
  int ievent, i, j;
 
  // if normalization flag is set, normalize energies
  float sumOverEnergy;
  if (normaliseFlag) {
    float scale = 0.;
 
    std::cout << "GenericMinL3Algorithm::iterate(): Normalising event data" << std::endl;
 
    for (i = 0; i < Nevents; i++) {
      sumOverEnergy = 0.;
      for (j = 0; j < Nchannels; j++) {
        sumOverEnergy += eventMatrix[i][j];
      }
      sumOverEnergy /= myEnergyVector[i];
      scale += sumOverEnergy;
    }
    scale /= Nevents;
    std::cout << "  Normalisation = " << scale << std::endl;
 
    for (i = 0; i < Nevents; i++) {
      myEnergyVector[i] *= scale;
    }
  }  // end normalize energies
 
  // This is where the real work goes on...
  float sum25, invsum25;
  float w;                                  // weight for event
  std::vector<float> wsum(Nchannels, 0.);   // sum of weights for a crystal
  std::vector<float> Ewsum(Nchannels, 0.);  // sum of products of weight*Etrue/E25
 
  // Loop over events
  for (ievent = 0; ievent < Nevents; ievent++) {
    // Loop over the 5x5 to find the sum
    sum25 = 0.;
 
    for (i = 0; i < Nchannels; i++) {
      sum25 += eventMatrix[ievent][i];
    }  //*calibs[i];
 
    if (sum25 != 0.) {
      invsum25 = 1 / sum25;
      // Loop over the 5x5 again and calculate the weights for each xtal
      for (i = 0; i < Nchannels; i++) {
        w = eventMatrix[ievent][i] * invsum25;  // * calibs[i]
        wsum[i] += w;
        Ewsum[i] += (w * myEnergyVector[ievent] * invsum25);
      }
    } else {
      std::cout << " Debug: dropping null event: " << ievent << std::endl;
    }
 
  }  // end Loop over events
 
  // Apply correction factors to all channels not in the margin
  for (i = 0; i < Nchannels; i++) {
    if (wsum[i] != 0.) {
      solution[i] *= Ewsum[i] / wsum[i];
    } else {
      std::cout << "warning - no event data for crystal index " << i << std::endl;
    }
  }
 
  return solution;
}

References gather_cfg::cout, mps_fire::i, dqmiolumiharvest::j, normaliseFlag, Scenarios_cff::scale, and w.

iterate() [2/2]

std::vector< float > GenericMinL3Algorithm::iterate	(	const std::vector< std::vector< float > > &	eventMatrix,
		const std::vector< float > &	energyVector,
		int	nIter
	)

run the Minimization L3 Algorithm "nIter" number of times, recalibrating the event matrix after each iteration with the new solution returns the vector of calibration coefficients built from all iteration solutions

Definition at line 17 of file GenericMinL3Algorithm.cc.

                                                                   {
  std::vector<float> solution;
  std::vector<std::vector<float> > myEventMatrix(eventMatrix);
  int Nevents = eventMatrix.size();       // Number of events to calibrate with
  int Nchannels = eventMatrix[0].size();  // Number of channel coefficients
  std::vector<float> theCalibVector(Nchannels, 1.);
 
  // Iterate the correction
  for (int iter = 1; iter <= nIter; iter++) {
    // make one iteration
    solution = iterate(myEventMatrix, energyVector);
 
    if (solution.empty())
      return solution;
    // R.O.: or throw an exception, what's the standard CMS way ?
 
    // re-calibrate eventMatrix with solution
    for (int i = 0; i < Nchannels; i++) {
      for (int ievent = 0; ievent < Nevents; ievent++) {
        myEventMatrix[ievent][i] *= solution[i];
      }
      // save solution into theCalibVector
      theCalibVector[i] *= solution[i];
    }
 
  }  // end iterate the correction
 
  return theCalibVector;
}

References mps_fire::i.

Member Data Documentation

normaliseFlag

bool GenericMinL3Algorithm::normaliseFlag

private

Definition at line 36 of file GenericMinL3Algorithm.h.

Referenced by iterate().