MinL3Algorithm.cc

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#include "Calibration/Tools/interface/MinL3Algorithm.h"
#include <cmath>

MinL3Algorithm::MinL3Algorithm(float kweight_, int squareMode_, int mineta_, int maxeta_, int minphi_, int maxphi_)
    : 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.);
}

MinL3Algorithm::~MinL3Algorithm() {}

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) {
  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;
}

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

std::vector<float> MinL3Algorithm::getSolution(bool resetsolution) {
  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;
}

void MinL3Algorithm::resetSolution() {
  wsum.assign(Nchannels, 0.);
  Ewsum.assign(Nchannels, 0.);
}

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

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