RecoLocalMuon/CSCRecHitD/src/CSCFindPeakTime.cc - master - githubmirror/cmssw

RecoLocalMuon/CSCRecHitD/src/CSCFindPeakTime.cc
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31 май 2019, 13:15
31 май 2019, 13:15eb1cff4
// This is CSCFindPeakTime

#include <RecoLocalMuon/CSCRecHitD/src/CSCFindPeakTime.h>
#include <FWCore/MessageLogger/interface/MessageLogger.h>

#include <cmath>

CSCFindPeakTime::CSCFindPeakTime(const edm::ParameterSet& ps)
    : useAverageTime(false), useParabolaFit(false), useFivePoleFit(false) {
  useAverageTime = ps.getParameter<bool>("UseAverageTime");
  useParabolaFit = ps.getParameter<bool>("UseParabolaFit");
  useFivePoleFit = ps.getParameter<bool>("UseFivePoleFit");
  LogTrace("CSCRecHit") << "[CSCFindPeakTime] useAverageTime=" << useAverageTime
                        << ", useParabolaFit=" << useParabolaFit << ", useFivePoleFit=" << useFivePoleFit;
}

float CSCFindPeakTime::peakTime(int tmax, const float* adc, float t_peak) {
  if (useAverageTime) {
    return averageTime(tmax, adc);
  } else if (useParabolaFit) {
    return parabolaFitTime(tmax, adc);
  } else if (useFivePoleFit) {
    return fivePoleFitTime(tmax, adc, t_peak);
  } else {
    // return something, anyway.. may as well be average
    return averageTime(tmax, adc);
  }
}

float CSCFindPeakTime::averageTime(int tmax, const float* adc) {
  float sum = 0.;
  float sumt = 0.;
  for (size_t i = 0; i < 4; ++i) {
    sum += adc[i];
    sumt += adc[i] * float(tmax - 1 + i);
  }
  return sumt / sum * 50.;  //@@ in ns. May be some bin width offset things to handle here?
}

float CSCFindPeakTime::parabolaFitTime(int tmax, const float* adc) {
  // 3-point parabolic fit, from Andy Kubik

  // We calculate offset to tmax by finding the peak of a parabola through three points
  float tpeak = tmax;
  float tcorr = 0;

  // By construction, input array adc is for bins tmax-1 to tmax+2
  float y1 = adc[0];
  float y2 = adc[1];
  float y3 = adc[2];

  // Checked and simplified... Tim Cox 08-Apr-2009
  // Denominator is not zero unless we fed in nonsense values with y2 not the peak!
  if ((y1 + y3) < 2.f * y2)
    tcorr = 0.5f * (y1 - y3) / (y1 - 2. * y2 + y3);
  tpeak += tcorr;

  LogTrace("CSCFindPeakTime") << "[CSCFindPeakTime] tmax=" << tmax << ", parabolic peak time is tmax+" << tcorr
                              << " bins, or " << tpeak * 50.f << " ns";

  return tpeak * 50.f;  // convert to ns.
}

float CSCFindPeakTime::fivePoleFitTime(int tmax, const float* adc, float t_peak) {
  // Input is
  // tmax   = bin# 0-7 containing max SCA pulse height
  // adc    = 4-dim array containing SCA pulse heights in bins tmax-1 to tmax+2
  // t_peak = input estimate for SCA peak time

  // Returned value is improved (we hope) estimate for SCA peak time

  // Algorithm is to fit five-pole Semi-Gaussian function for start time of SCA pulse, t0
  // (The SCA peak is assumed to be 133 ns from t0.)
  // Note that t^4 in time domain corresponds to 1/t^5 in frequency domain (that's the 5 poles).

  // Initialize parameters to sensible (?) values

  float t0 = 0.f;
  constexpr float t0peak = 133.f;  // this is offset of peak from start time t0
  constexpr float p0 = 4.f / t0peak;

  // Require that tmax is in range 2-6 of bins the eight SCA time bins 0-7
  // (Bins 0, 1 used for dynamic ped)

  if (tmax < 2 || tmax > 6)
    return t_peak;  //@@ Just return the input value

  // Set up time bins to match adc[4] input

  float tb[4];
  for (int time = 0; time < 4; ++time) {
    tb[time] = (tmax + time - 1) * 50.f;
  }

  // How many time bins are we fitting?

  int n_fit = 4;
  if (tmax == 6)
    n_fit = 3;

  float chi_min = 1.e10f;
  float chi_last = 1.e10f;
  float tt0 = 0.f;
  float chi2 = 0.f;
  float del_t = 100.f;

  float x[4];
  float sx2 = 0.f;
  float sxy = 0.f;
  float fN = 0.f;

  while (del_t > 1.f) {
    sx2 = 0.f;
    sxy = 0.f;

    for (int j = 0; j < n_fit; ++j) {
      float tdif = tb[j] - tt0;
      x[j] = (tdif * tdif) * (tdif * tdif) * std::exp(-p0 * tdif);
      sx2 += x[j] * x[j];
      sxy += x[j] * adc[j];
    }
    fN = sxy / sx2;  // least squares fit over time bins i to adc[i] = fN * fivePoleFunction[i]

    // Compute chi^2
    chi2 = 0.0;
    for (int j = 0; j < n_fit; ++j)
      chi2 += (adc[j] - fN * x[j]) * (adc[j] - fN * x[j]);

    // Test on chi^2 to decide what to do
    if (chi_last > chi2) {
      if (chi2 < chi_min) {
        t0 = tt0;
      }
      chi_last = chi2;
      tt0 = tt0 + del_t;
    } else {
      tt0 = tt0 - 2.f * del_t;
      del_t = 0.5 * del_t;
      tt0 = tt0 + del_t;
      chi_last = 1.0e10f;
    }
  }

  return t0 + t0peak;
}

void CSCFindPeakTime::fivePoleFitCharge(
    int tmax, const float* adc, const float& t_zero, const float& t_peak, std::vector<float>& adcsFit) {
  //@@ This code can certainly be replaced by fivePoleFitTime above, but I haven't time to do that now (Tim).

  float p0 = 4.f / t_peak;
  float tt0 = t_zero;
  int n_fit = 4;
  if (tmax == 6)
    n_fit = 3;

  float tb[4], y[4];
  for (int t = 0; t < 4; ++t) {
    tb[t] = float(tmax + t - 1) * 50.f;
    y[t] = adc[t];
  }

  // Find the normalization factor for the function
  float x[4];
  float sx2 = 0.f;
  float sxy = 0.f;
  for (int j = 0; j < n_fit; ++j) {
    float t = tb[j];
    x[j] = ((t - tt0) * (t - tt0)) * ((t - tt0) * (t - tt0)) * std::exp(-p0 * (t - tt0));
    sx2 = sx2 + x[j] * x[j];
    sxy = sxy + x[j] * y[j];
  }
  float N = sxy / sx2;

  // Now compute charge for a given t  --> only need charges at: t_peak-50, t_peak and t_peak+50
  for (int i = 0; i < 3; ++i) {
    float t = t_peak + float(i - 1) * 50.f;
    float q_fitted = float(N) * ((t - tt0) * (t - tt0)) * ((t - tt0) * (t - tt0)) * std::exp(-p0 * (t - tt0));
    adcsFit.push_back(q_fitted);
  }
  return;
}