MinL3Algorithm Class Reference

#include <MinL3Algorithm.h>

Public Member Functions
void	addEvent (const std::vector< float > &eventSquare, const int &maxCeta, const int &maxCphi, const float &energy)
	add event to the calculation of the calibration vector More...
std::vector< float >	getSolution (bool resetsolution=true)
	get the solution at the end of the calibration More...
int	indexSqr2Reg (const int &sqrIndex, const int &maxCeta, const int &maxCphi)
	method to translate from square indices to region indices More...
std::vector< float >	iterate (const std::vector< std::vector< float > > &eventMatrix, const std::vector< int > &VmaxCeta, const std::vector< int > &VmaxCphi, const std::vector< float > &energyVector, const int &nIter, const bool &normalizeFlag=false)
	MinL3Algorithm (float kweight_=0., int squareMode_=5, int mineta_=1, int maxeta_=85, int minphi_=1, int maxphi_=20)
std::vector< float >	recalibrateEvent (const std::vector< float > &eventSquare, const int &maxCeta, const int &maxCphi, const std::vector< float > &recalibrateVector)
	recalibrate before next iteration: give previous solution vector as argument More...
void	resetSolution ()
	reset for new iteration More...
	~MinL3Algorithm ()
	Destructor. More...

Private Attributes
int	countEvents
std::vector< float >	Ewsum
float	kweight
int	maxeta
int	maxphi
int	mineta
int	minphi
int	Nchannels
int	Nxtals
int	squareMode
std::vector< float >	wsum

Detailed Description

Implementation of the L3 Collaboration algorithm to solve a system Ax = B by minimization of |Ax-B| using an iterative linear approach This class is specific for the ECAL calibration

13.03.2007: R.Ofierzynski

• implemented event weighting

Author

R.Ofierzynski, CERN

Definition at line 18 of file MinL3Algorithm.h.

Constructor & Destructor Documentation

MinL3Algorithm()

MinL3Algorithm::MinL3Algorithm	(	float	kweight_ = 0.,
		int	squareMode_ = 5,
		int	mineta_ = 1,
		int	maxeta_ = 85,
		int	minphi_ = 1,
		int	maxphi_ = 20
	)

Default constructor kweight_ = event weight, squareMode_ = side length of the cluster square

Definition at line 10 of file MinL3Algorithm.cc.

    : kweight(kweight_),
      squareMode(squareMode_),
      mineta(mineta_),
      maxeta(maxeta_),
      minphi(minphi_),
      maxphi(maxphi_),
      countEvents(0) {
  int Neta = maxeta - mineta + 1;
  if (mineta * maxeta < 0)
    Neta--;  // there's no eta index = 0
  int Nphi = maxphi - minphi + 1;
  if (Nphi < 0)
    Nphi += 360;
 
  Nchannels = Neta * Nphi;  // no. of channels, get it from edges of the region
 
  Nxtals = squareMode * squareMode;  // no. of xtals in one event
 
  wsum.assign(Nchannels, 0.);
  Ewsum.assign(Nchannels, 0.);
}

References Ewsum, maxeta, maxphi, mineta, minphi, Nchannels, Nxtals, squareMode, and wsum.

~MinL3Algorithm()

MinL3Algorithm::~MinL3Algorithm

(

)

Destructor.

Definition at line 33 of file MinL3Algorithm.cc.

{}

Member Function Documentation

addEvent()

void MinL3Algorithm::addEvent	(	const std::vector< float > &	eventSquare,
		const int &	maxCeta,
		const int &	maxCphi,
		const float &	energy
	)

add event to the calculation of the calibration vector

Definition at line 95 of file MinL3Algorithm.cc.

                                                   {
  countEvents++;
 
  float w, invsumXmatrix;
  float eventw;
  int iFull, i;
  // Loop over the crystal matrix to find the sum
  float sumXmatrix = 0.;
 
  for (i = 0; i < Nxtals; i++) {
    sumXmatrix += eventSquare[i];
  }
 
  // event weighting
  eventw = 1 - fabs(1 - sumXmatrix / energy);
  eventw = pow(eventw, kweight);
 
  if (sumXmatrix != 0.) {
    invsumXmatrix = 1 / sumXmatrix;
    // Loop over the crystal matrix (3x3,5x5,7x7) again and calculate the weights for each xtal
    for (i = 0; i < Nxtals; i++) {
      w = eventSquare[i] * invsumXmatrix;
 
      iFull = indexSqr2Reg(i, maxCeta, maxCphi);
      if (iFull >= 0) {
        // with event weighting:
        wsum[iFull] += w * eventw;
        Ewsum[iFull] += (w * eventw * energy * invsumXmatrix);
        //        wsum[iFull] += w;
        //        Ewsum[iFull] += (w * energy * invsumXmatrix);
      }
    }
  }
  //  else {std::cout << " Debug: dropping null event: " << countEvents << std::endl;}
}

References countEvents, HCALHighEnergyHPDFilter_cfi::energy, Ewsum, mps_fire::i, indexSqr2Reg(), kweight, Nxtals, funct::pow(), w, and wsum.

Referenced by iterate().

getSolution()

std::vector< float > MinL3Algorithm::getSolution

(

bool

resetsolution = true

)

get the solution at the end of the calibration

Definition at line 134 of file MinL3Algorithm.cc.

                                                               {
  std::vector<float> solution(Nchannels, 1.);
 
  for (int 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 (reduced region) " << i << std::endl; }
  }
 
  if (resetsolution)
    resetSolution();
 
  return solution;
}

References Ewsum, mps_fire::i, Nchannels, resetSolution(), and wsum.

Referenced by iterate().

indexSqr2Reg()

int MinL3Algorithm::indexSqr2Reg	(	const int &	sqrIndex,
		const int &	maxCeta,
		const int &	maxCphi
	)

method to translate from square indices to region indices

Definition at line 171 of file MinL3Algorithm.cc.

                                                                                            {
  int regionIndex;
 
  // get the current eta, phi indices
  int curr_eta = maxCeta - squareMode / 2 + sqrIndex % squareMode;
  if (curr_eta * maxCeta <= 0) {
    if (maxCeta > 0)
      curr_eta--;
    else
      curr_eta++;
  }  // JUMP over 0
 
  int curr_phi = maxCphi - squareMode / 2 + sqrIndex / squareMode;
  if (curr_phi < 1)
    curr_phi += 360;
  if (curr_phi > 360)
    curr_phi -= 360;
 
  bool negPhiDirection = (maxphi < minphi);
  int iFullphi;
 
  regionIndex = -1;
 
  if (curr_eta >= mineta && curr_eta <= maxeta)
    if ((!negPhiDirection && (curr_phi >= minphi && curr_phi <= maxphi)) ||
        (negPhiDirection && !(curr_phi >= minphi && curr_phi <= maxphi))) {
      iFullphi = curr_phi - minphi;
      if (iFullphi < 0)
        iFullphi += 360;
      regionIndex = (curr_eta - mineta) * (maxphi - minphi + 1 + 360 * negPhiDirection) + iFullphi;
    }
 
  return regionIndex;
}

References maxeta, maxphi, mineta, minphi, and squareMode.

Referenced by addEvent(), and recalibrateEvent().

iterate()

std::vector< float > MinL3Algorithm::iterate	(	const std::vector< std::vector< float > > &	eventMatrix,
		const std::vector< int > &	VmaxCeta,
		const std::vector< int > &	VmaxCphi,
		const std::vector< float > &	energyVector,
		const int &	nIter,
		const bool &	normalizeFlag = false
	)

method doing the full calibration running 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

to be used also as recipe on how to use the calibration methods one-by-one <<

Definition at line 35 of file MinL3Algorithm.cc.

                                                                      {
  int Nevents = eventMatrix.size();  // Number of events to calibrate with
 
  std::vector<float> totalSolution(Nchannels, 1.);
  std::vector<float> iterSolution;
  std::vector<std::vector<float> > myEventMatrix(eventMatrix);
  std::vector<float> myEnergyVector(energyVector);
 
  int i, j;
 
  // Iterate the correction
  for (int iter = 1; iter <= nIter; iter++) {
    // if normalization flag is set, normalize energies
    float sumOverEnergy;
    if (normalizeFlag) {
      float scale = 0.;
 
      for (i = 0; i < Nevents; i++) {
        sumOverEnergy = 0.;
        for (j = 0; j < Nxtals; j++) {
          sumOverEnergy += myEventMatrix[i][j];
        }
        sumOverEnergy /= myEnergyVector[i];
        scale += sumOverEnergy;
      }
      scale /= Nevents;
 
      for (i = 0; i < Nevents; i++) {
        myEnergyVector[i] *= scale;
      }
    }  // end normalize energies
 
    // now the real work starts:
    for (int iEvt = 0; iEvt < Nevents; iEvt++) {
      addEvent(myEventMatrix[iEvt], VmaxCeta[iEvt], VmaxCphi[iEvt], myEnergyVector[iEvt]);
    }
    iterSolution = getSolution();
    if (iterSolution.empty())
      return iterSolution;
 
    // re-calibrate eventMatrix with solution
    for (int ievent = 0; ievent < Nevents; ievent++) {
      myEventMatrix[ievent] = recalibrateEvent(myEventMatrix[ievent], VmaxCeta[ievent], VmaxCphi[ievent], iterSolution);
    }
 
    for (int i = 0; i < Nchannels; i++) {
      // save solution into theCalibVector
      totalSolution[i] *= iterSolution[i];
    }
    //      resetSolution(); // reset for new iteration, now: getSolution does it automatically if not vetoed
  }  // end iterate correction
 
  return totalSolution;
}

References addEvent(), getSolution(), mps_fire::i, dqmiolumiharvest::j, Nchannels, Nxtals, recalibrateEvent(), and HLT_FULL_cff::scale.

Referenced by ElectronCalibration::endJob(), and ElectronCalibrationUniv::endJob().

recalibrateEvent()

std::vector< float > MinL3Algorithm::recalibrateEvent	(	const std::vector< float > &	eventSquare,
		const int &	maxCeta,
		const int &	maxCphi,
		const std::vector< float > &	recalibrateVector
	)

recalibrate before next iteration: give previous solution vector as argument

Definition at line 156 of file MinL3Algorithm.cc.

                                                                                               {
  std::vector<float> newEventSquare(eventSquare);
  int iFull;
 
  for (int i = 0; i < Nxtals; i++) {
    iFull = indexSqr2Reg(i, maxCeta, maxCphi);
    if (iFull >= 0)
      newEventSquare[i] *= recalibrateVector[iFull];
  }
  return newEventSquare;
}

References mps_fire::i, indexSqr2Reg(), and Nxtals.

Referenced by iterate().

resetSolution()

void MinL3Algorithm::resetSolution

(

)

reset for new iteration

Definition at line 151 of file MinL3Algorithm.cc.

                                   {
  wsum.assign(Nchannels, 0.);
  Ewsum.assign(Nchannels, 0.);
}

References Ewsum, Nchannels, and wsum.

Referenced by getSolution().

Member Data Documentation

countEvents

int MinL3Algorithm::countEvents

private

Definition at line 60 of file MinL3Algorithm.h.

Referenced by addEvent().

Ewsum

std::vector<float> MinL3Algorithm::Ewsum

private

Definition at line 63 of file MinL3Algorithm.h.

Referenced by addEvent(), getSolution(), MinL3Algorithm(), and resetSolution().

kweight

float MinL3Algorithm::kweight

private

Definition at line 57 of file MinL3Algorithm.h.

Referenced by addEvent().

maxeta

int MinL3Algorithm::maxeta

private

Definition at line 59 of file MinL3Algorithm.h.

Referenced by indexSqr2Reg(), and MinL3Algorithm().

maxphi

int MinL3Algorithm::maxphi

private

Definition at line 59 of file MinL3Algorithm.h.

Referenced by indexSqr2Reg(), and MinL3Algorithm().

mineta

int MinL3Algorithm::mineta

private

Definition at line 59 of file MinL3Algorithm.h.

Referenced by indexSqr2Reg(), and MinL3Algorithm().

minphi

int MinL3Algorithm::minphi

private

Definition at line 59 of file MinL3Algorithm.h.

Referenced by indexSqr2Reg(), and MinL3Algorithm().

Nchannels

int MinL3Algorithm::Nchannels

private

Definition at line 61 of file MinL3Algorithm.h.

Referenced by getSolution(), iterate(), MinL3Algorithm(), and resetSolution().

Nxtals

int MinL3Algorithm::Nxtals

private

Definition at line 61 of file MinL3Algorithm.h.

Referenced by addEvent(), iterate(), MinL3Algorithm(), and recalibrateEvent().

squareMode

int MinL3Algorithm::squareMode

private

Definition at line 58 of file MinL3Algorithm.h.

Referenced by indexSqr2Reg(), and MinL3Algorithm().

wsum

std::vector<float> MinL3Algorithm::wsum

private

Definition at line 62 of file MinL3Algorithm.h.

Referenced by addEvent(), getSolution(), MinL3Algorithm(), and resetSolution().