HBHEPulseShapeFlag.cc

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//---------------------------------------------------------------------------
#include <iostream>
#include <algorithm>
#include <fstream>
#include <cmath>
 
//---------------------------------------------------------------------------
#include "RecoLocalCalo/HcalRecAlgos/interface/HBHEPulseShapeFlag.h"
 
#include "FWCore/MessageLogger/interface/MessageLogger.h"
 
#include "CalibFormats/HcalObjects/interface/HcalCalibrations.h"
#include "CalibFormats/HcalObjects/interface/HcalCoderDb.h"
#include "CalibCalorimetry/HcalAlgos/interface/HcalPulseShapes.h"
 
//---------------------------------------------------------------------------
HBHEPulseShapeFlagSetter::HBHEPulseShapeFlagSetter(double MinimumChargeThreshold,
                                                   double TS4TS5ChargeThreshold,
                                                   double TS3TS4ChargeThreshold,
                                                   double TS3TS4UpperChargeThreshold,
                                                   double TS5TS6ChargeThreshold,
                                                   double TS5TS6UpperChargeThreshold,
                                                   double R45PlusOneRange,
                                                   double R45MinusOneRange,
                                                   unsigned int TrianglePeakTS,
                                                   const std::vector<double>& LinearThreshold,
                                                   const std::vector<double>& LinearCut,
                                                   const std::vector<double>& RMS8MaxThreshold,
                                                   const std::vector<double>& RMS8MaxCut,
                                                   const std::vector<double>& LeftSlopeThreshold,
                                                   const std::vector<double>& LeftSlopeCut,
                                                   const std::vector<double>& RightSlopeThreshold,
                                                   const std::vector<double>& RightSlopeCut,
                                                   const std::vector<double>& RightSlopeSmallThreshold,
                                                   const std::vector<double>& RightSlopeSmallCut,
                                                   const std::vector<double>& TS4TS5LowerThreshold,
                                                   const std::vector<double>& TS4TS5LowerCut,
                                                   const std::vector<double>& TS4TS5UpperThreshold,
                                                   const std::vector<double>& TS4TS5UpperCut,
                                                   bool UseDualFit,
                                                   bool TriangleIgnoreSlow,
                                                   bool setLegacyFlags) {
  //
  // The constructor that should be used
  //
  // Copies various thresholds and limits and parameters to the class for future use.
  // Also calls the Initialize() function
  //
 
  mMinimumChargeThreshold = MinimumChargeThreshold;
  mTS4TS5ChargeThreshold = TS4TS5ChargeThreshold;
  mTS3TS4ChargeThreshold = TS3TS4ChargeThreshold;
  mTS3TS4UpperChargeThreshold = TS3TS4UpperChargeThreshold;
  mTS5TS6ChargeThreshold = TS5TS6ChargeThreshold;
  mTS5TS6UpperChargeThreshold = TS5TS6UpperChargeThreshold;
  mR45PlusOneRange = R45PlusOneRange;
  mR45MinusOneRange = R45MinusOneRange;
  mTrianglePeakTS = TrianglePeakTS;
  mTriangleIgnoreSlow = TriangleIgnoreSlow;
  mSetLegacyFlags = setLegacyFlags;
 
  for (std::vector<double>::size_type i = 0; i < LinearThreshold.size() && i < LinearCut.size(); i++)
    mLambdaLinearCut.push_back(std::pair<double, double>(LinearThreshold[i], LinearCut[i]));
  sort(mLambdaLinearCut.begin(), mLambdaLinearCut.end());
 
  for (std::vector<double>::size_type i = 0; i < RMS8MaxThreshold.size() && i < RMS8MaxCut.size(); i++)
    mLambdaRMS8MaxCut.push_back(std::pair<double, double>(RMS8MaxThreshold[i], RMS8MaxCut[i]));
  sort(mLambdaRMS8MaxCut.begin(), mLambdaRMS8MaxCut.end());
 
  for (std::vector<double>::size_type i = 0; i < LeftSlopeThreshold.size() && i < LeftSlopeCut.size(); i++)
    mLeftSlopeCut.push_back(std::pair<double, double>(LeftSlopeThreshold[i], LeftSlopeCut[i]));
  sort(mLeftSlopeCut.begin(), mLeftSlopeCut.end());
 
  for (std::vector<double>::size_type i = 0; i < RightSlopeThreshold.size() && i < RightSlopeCut.size(); i++)
    mRightSlopeCut.push_back(std::pair<double, double>(RightSlopeThreshold[i], RightSlopeCut[i]));
  sort(mRightSlopeCut.begin(), mRightSlopeCut.end());
 
  for (std::vector<double>::size_type i = 0; i < RightSlopeSmallThreshold.size() && i < RightSlopeSmallCut.size(); i++)
    mRightSlopeSmallCut.push_back(std::pair<double, double>(RightSlopeSmallThreshold[i], RightSlopeSmallCut[i]));
  sort(mRightSlopeSmallCut.begin(), mRightSlopeSmallCut.end());
 
  for (std::vector<double>::size_type i = 0; i < TS4TS5UpperThreshold.size() && i < TS4TS5UpperCut.size(); i++)
    mTS4TS5UpperCut.push_back(std::pair<double, double>(TS4TS5UpperThreshold[i], TS4TS5UpperCut[i]));
  sort(mTS4TS5UpperCut.begin(), mTS4TS5UpperCut.end());
 
  for (std::vector<double>::size_type i = 0; i < TS4TS5LowerThreshold.size() && i < TS4TS5LowerCut.size(); i++)
    mTS4TS5LowerCut.push_back(std::pair<double, double>(TS4TS5LowerThreshold[i], TS4TS5LowerCut[i]));
  sort(mTS4TS5LowerCut.begin(), mTS4TS5LowerCut.end());
 
  mUseDualFit = UseDualFit;
 
  Initialize();
}
//---------------------------------------------------------------------------
HBHEPulseShapeFlagSetter::~HBHEPulseShapeFlagSetter() {
  // Dummy destructor - there's nothing to destruct by hand here
}
//---------------------------------------------------------------------------
void HBHEPulseShapeFlagSetter::Clear() {
  // Dummy function in case something needs to be cleaned....but none right now
}
//---------------------------------------------------------------------------
void HBHEPulseShapeFlagSetter::Initialize() {
  //
  // Initialization: whatever preprocess is needed
  //
  // 1. Get the ideal pulse shape from CMSSW
  //
  //    Since the HcalPulseShapes class stores the ideal pulse shape in terms of 256 numbers,
  //    each representing 1ns integral of the ideal pulse, here I'm taking out the vector
  //    by calling at() function.
  //
  //    A cumulative distribution is formed and stored to save some time doing integration to TS later on
  //
  // 2. Reserve space for vector
  //
 
  std::vector<double> PulseShape;
 
  HcalPulseShapes Shapes;
  const HcalPulseShapes::Shape& HPDShape = Shapes.hbShape();
 
  PulseShape.reserve(350);
  for (int i = 0; i < 200; i++)
    PulseShape.push_back(HPDShape.at(i));
  PulseShape.insert(PulseShape.begin(), 150, 0);  // Safety margin of a lot of zeros in the beginning
 
  CumulativeIdealPulse.reserve(350);
  CumulativeIdealPulse.clear();
  CumulativeIdealPulse.push_back(0);
  for (unsigned int i = 1; i < PulseShape.size(); i++)
    CumulativeIdealPulse.push_back(CumulativeIdealPulse[i - 1] + PulseShape[i]);
 
  // reserve space for vector
  mCharge.reserve(10);
}
//---------------------------------------------------------------------------
TriangleFitResult HBHEPulseShapeFlagSetter::PerformTriangleFit(const std::vector<double>& Charge) {
  //
  // Perform a "triangle fit", and extract the slopes
  //
  // Left-hand side and right-hand side are not correlated to each other - do them separately
  //
 
  TriangleFitResult result;
  result.Chi2 = 0;
  result.LeftSlope = 0;
  result.RightSlope = 0;
 
  int DigiSize = Charge.size();
 
  // right side, starting from TS4
  double MinimumRightChi2 = 1000000;
  double Numerator = 0;
  double Denominator = 0;
 
  for (int iTS = mTrianglePeakTS + 2; iTS <= DigiSize; iTS++)  // the place where first TS center in flat line
  {
    // fit a straight line to the triangle part
    Numerator = 0;
    Denominator = 0;
 
    for (int i = mTrianglePeakTS + 1; i < iTS; i++) {
      Numerator += (i - mTrianglePeakTS) * (Charge[i] - Charge[mTrianglePeakTS]);
      Denominator += (i - mTrianglePeakTS) * (i - mTrianglePeakTS);
    }
 
    double BestSlope = 0;
    if (Denominator != 0)
      BestSlope = Numerator / Denominator;
    if (BestSlope > 0)
      BestSlope = 0;
 
    // check if the slope is reasonable
    if (iTS != DigiSize) {
      // iTS starts at mTrianglePeak+2; denominator never zero
      if (BestSlope > -1 * Charge[mTrianglePeakTS] / (iTS - mTrianglePeakTS))
        BestSlope = -1 * Charge[mTrianglePeakTS] / (iTS - mTrianglePeakTS);
      if (BestSlope < -1 * Charge[mTrianglePeakTS] / (iTS - 1 - mTrianglePeakTS))
        BestSlope = -1 * Charge[mTrianglePeakTS] / (iTS - 1 - mTrianglePeakTS);
    } else {
      // iTS starts at mTrianglePeak+2; denominator never zero
      if (BestSlope < -1 * Charge[mTrianglePeakTS] / (iTS - 1 - mTrianglePeakTS))
        BestSlope = -1 * Charge[mTrianglePeakTS] / (iTS - 1 - mTrianglePeakTS);
    }
 
    // calculate partial chi2
 
    // The shape I'm fitting is more like a tent than a triangle.
    // After the end of triangle edge assume a flat line
 
    double Chi2 = 0;
    for (int i = mTrianglePeakTS + 1; i < iTS; i++)
      Chi2 += (Charge[mTrianglePeakTS] - Charge[i] + (i - mTrianglePeakTS) * BestSlope) *
              (Charge[mTrianglePeakTS] - Charge[i] + (i - mTrianglePeakTS) * BestSlope);
    for (int i = iTS; i < DigiSize; i++)  // Assumes fit line = 0 for iTS > fit
      Chi2 += Charge[i] * Charge[i];
 
    if (Chi2 < MinimumRightChi2) {
      MinimumRightChi2 = Chi2;
      result.RightSlope = BestSlope;
    }
  }  // end of right-hand side loop
 
  // left side
  double MinimumLeftChi2 = 1000000;
 
  for (int iTS = 0; iTS < (int)mTrianglePeakTS; iTS++)  // the first time after linear fit ends
  {
    // fit a straight line to the triangle part
    Numerator = 0;
    Denominator = 0;
    for (int i = iTS; i < (int)mTrianglePeakTS; i++) {
      Numerator = Numerator + (i - mTrianglePeakTS) * (Charge[i] - Charge[mTrianglePeakTS]);
      Denominator = Denominator + (i - mTrianglePeakTS) * (i - mTrianglePeakTS);
    }
 
    double BestSlope = 0;
    if (Denominator != 0)
      BestSlope = Numerator / Denominator;
    if (BestSlope < 0)
      BestSlope = 0;
 
    // check slope
    if (iTS != 0) {
      // iTS must be >0 and < mTrianglePeakTS; slope never 0
      if (BestSlope > Charge[mTrianglePeakTS] / (mTrianglePeakTS - iTS))
        BestSlope = Charge[mTrianglePeakTS] / (mTrianglePeakTS - iTS);
      if (BestSlope < Charge[mTrianglePeakTS] / (mTrianglePeakTS + 1 - iTS))
        BestSlope = Charge[mTrianglePeakTS] / (mTrianglePeakTS + 1 - iTS);
    } else {
      if (BestSlope > Charge[mTrianglePeakTS] / (mTrianglePeakTS - iTS))
        BestSlope = Charge[mTrianglePeakTS] / (mTrianglePeakTS - iTS);
    }
 
    // calculate minimum chi2
    double Chi2 = 0;
    for (int i = 0; i < iTS; i++)
      Chi2 += Charge[i] * Charge[i];
    for (int i = iTS; i < (int)mTrianglePeakTS; i++)
      Chi2 += (Charge[mTrianglePeakTS] - Charge[i] + (i - mTrianglePeakTS) * BestSlope) *
              (Charge[mTrianglePeakTS] - Charge[i] + (i - mTrianglePeakTS) * BestSlope);
 
    if (MinimumLeftChi2 > Chi2) {
      MinimumLeftChi2 = Chi2;
      result.LeftSlope = BestSlope;
    }
  }  // end of left-hand side loop
 
  result.Chi2 = MinimumLeftChi2 + MinimumRightChi2;
 
  return result;
}
//---------------------------------------------------------------------------
double HBHEPulseShapeFlagSetter::PerformNominalFit(const std::vector<double>& Charge) {
  //
  // Performs a fit to the ideal pulse shape.  Returns best chi2
  //
  // A scan over different timing offset (for the ideal pulse) is carried out,
  //    and for each offset setting a one-parameter fit is performed
  //
 
  int DigiSize = Charge.size();
 
  double MinimumChi2 = 100000;
 
  double F = 0;
 
  double SumF2 = 0;
  double SumTF = 0;
  double SumT2 = 0;
 
  for (int i = 0; i + 250 < (int)CumulativeIdealPulse.size(); i++) {
    if (CumulativeIdealPulse[i + 250] - CumulativeIdealPulse[i] < 1e-5)
      continue;
 
    SumF2 = 0;
    SumTF = 0;
    SumT2 = 0;
 
    double ErrorTemp = 0;
    for (int j = 0; j < DigiSize; j++) {
      // get ideal pulse component for this time slice....
      F = CumulativeIdealPulse[i + j * 25 + 25] - CumulativeIdealPulse[i + j * 25];
 
      ErrorTemp = Charge[j];
      if (ErrorTemp < 1)  // protection against small charges
        ErrorTemp = 1;
      // ...and increment various summations
      SumF2 += F * F / ErrorTemp;
      SumTF += F * Charge[j] / ErrorTemp;
      SumT2 += fabs(Charge[j]);
    }
 
    /* 
     chi2= sum((Charge[j]-aF)^2/|Charge[j]|
     ( |Charge[j]| = assumed sigma^2 for Charge[j]; a bit wonky for Charge[j]<1 )
         chi2 = sum(|Charge[j]|) - 2*sum(aF*Charge[j]/|Charge[j]|) +sum( a^2*F^2/|Charge[j]|)
     chi2 minimimized when d(chi2)/da = 0:
         a = sum(F*Charge[j])/sum(F^2)
     ...
         chi2= sum(|Q[j]|) - sum(Q[j]/|Q[j]|*F)*sum(Q[j]/|Q[j]|*F)/sum(F^2/|Q[j]|), where Q = Charge
     chi2 = SumT2 - SumTF*SumTF/SumF2
      */
 
    double Chi2 = SumT2 - SumTF * SumTF / SumF2;
 
    if (Chi2 < MinimumChi2)
      MinimumChi2 = Chi2;
  }
 
  // safety protection in case of perfect fit - don't want the log(...) to explode
  if (MinimumChi2 < 1e-5)
    MinimumChi2 = 1e-5;
 
  return MinimumChi2;
}
//---------------------------------------------------------------------------
double HBHEPulseShapeFlagSetter::PerformDualNominalFit(const std::vector<double>& Charge) {
  //
  // Perform dual nominal fit and returns the chi2
  //
  // In this function we do a scan over possible "distance" (number of time slices between two components)
  //    and overall offset for the two components; first coarse, then finer
  // All the fitting is done in the DualNominalFitSingleTry function
  //
 
  double OverallMinimumChi2 = 1000000;
 
  int AvailableDistance[] = {-100, -75, -50, 50, 75, 100};
 
  // loop over possible pulse distances between two components
  bool isFirst = true;
 
  for (int k = 0; k < 6; k++) {
    double SingleMinimumChi2 = 1000000;
    int MinOffset = 0;
 
    // scan coarsely through different offsets and find the minimum
    for (int i = 0; i + 250 < (int)CumulativeIdealPulse.size(); i += 10) {
      double Chi2 = DualNominalFitSingleTry(Charge, i, AvailableDistance[k], isFirst);
      isFirst = false;
      if (Chi2 < SingleMinimumChi2) {
        SingleMinimumChi2 = Chi2;
        MinOffset = i;
      }
    }
 
    // around the minimum, scan finer for better a better minimum
    for (int i = MinOffset - 15; i + 250 < (int)CumulativeIdealPulse.size() && i < MinOffset + 15; i++) {
      double Chi2 = DualNominalFitSingleTry(Charge, i, AvailableDistance[k], false);
      if (Chi2 < SingleMinimumChi2)
        SingleMinimumChi2 = Chi2;
    }
 
    // update overall minimum chi2
    if (SingleMinimumChi2 < OverallMinimumChi2)
      OverallMinimumChi2 = SingleMinimumChi2;
  }
 
  return OverallMinimumChi2;
}
//---------------------------------------------------------------------------
double HBHEPulseShapeFlagSetter::DualNominalFitSingleTry(const std::vector<double>& Charge,
                                                         int Offset,
                                                         int Distance,
                                                         bool newCharges) {
  //
  // Does a fit to dual signal pulse hypothesis given offset and distance of the two target pulses
  //
  // The only parameters to fit here are the two pulse heights of in-time and out-of-time components
  //    since offset is given
  // The calculation here is based from writing down the Chi2 formula and minimize against the two parameters,
  //    ie., Chi2 = Sum{((T[i] - a1 * F1[i] - a2 * F2[i]) / (Sigma[i]))^2}, where T[i] is the input pulse shape,
  //    and F1[i], F2[i] are the two ideal pulse components
  //
 
  int DigiSize = Charge.size();
 
  if (Offset < 0 || Offset + 250 >= (int)CumulativeIdealPulse.size())
    return 1000000;
  if (CumulativeIdealPulse[Offset + 250] - CumulativeIdealPulse[Offset] < 1e-5)
    return 1000000;
 
  if (newCharges) {
    f1_.resize(DigiSize);
    f2_.resize(DigiSize);
    errors_.resize(DigiSize);
    for (int j = 0; j < DigiSize; j++) {
      errors_[j] = Charge[j];
      if (errors_[j] < 1)
        errors_[j] = 1;
      errors_[j] = 1.0 / errors_[j];
    }
  }
 
  double SumF1F1 = 0;
  double SumF1F2 = 0;
  double SumF2F2 = 0;
  double SumTF1 = 0;
  double SumTF2 = 0;
 
  unsigned int cipSize = CumulativeIdealPulse.size();
  for (int j = 0; j < DigiSize; j++) {
    // this is the TS value for in-time component - no problem we can do a subtraction directly
    f1_[j] = CumulativeIdealPulse[Offset + j * 25 + 25] - CumulativeIdealPulse[Offset + j * 25];
 
    // However for the out-of-time component the index might go out-of-bound.
    // Let's protect against this.
 
    int OffsetTemp = Offset + j * 25 + Distance;
 
    double C1 = 0;  // lower-indexed value in the cumulative pulse shape
    double C2 = 0;  // higher-indexed value in the cumulative pulse shape
 
    if (OffsetTemp + 25 >= (int)cipSize)
      C1 = CumulativeIdealPulse[cipSize - 1];
    else if (OffsetTemp >= -25)
      C1 = CumulativeIdealPulse[OffsetTemp + 25];
    if (OffsetTemp >= (int)cipSize)
      C2 = CumulativeIdealPulse[cipSize - 1];
    else if (OffsetTemp >= 0)
      C2 = CumulativeIdealPulse[OffsetTemp];
    f2_[j] = C1 - C2;
 
    SumF1F1 += f1_[j] * f1_[j] * errors_[j];
    SumF1F2 += f1_[j] * f2_[j] * errors_[j];
    SumF2F2 += f2_[j] * f2_[j] * errors_[j];
    SumTF1 += f1_[j] * Charge[j] * errors_[j];
    SumTF2 += f2_[j] * Charge[j] * errors_[j];
  }
 
  double Height = 0;
  double Height2 = 0;
  if (fabs(SumF1F2 * SumF1F2 - SumF1F1 * SumF2F2) > 1e-5) {
    Height = (SumF1F2 * SumTF2 - SumF2F2 * SumTF1) / (SumF1F2 * SumF1F2 - SumF1F1 * SumF2F2);
    Height2 = (SumF1F2 * SumTF1 - SumF1F1 * SumTF2) / (SumF1F2 * SumF1F2 - SumF1F1 * SumF2F2);
  }
 
  double Chi2 = 0;
  for (int j = 0; j < DigiSize; j++) {
    double Residual = Height * f1_[j] + Height2 * f2_[j] - Charge[j];
    Chi2 += Residual * Residual * errors_[j];
  }
 
  // Safety protection in case of zero
  if (Chi2 < 1e-5)
    Chi2 = 1e-5;
 
  return Chi2;
}
//---------------------------------------------------------------------------
double HBHEPulseShapeFlagSetter::CalculateRMS8Max(const std::vector<double>& Charge) {
  //
  // CalculateRMS8Max
  //
  // returns "RMS" divided by the largest charge in the time slices
  //    "RMS" is calculated using all but the two largest time slices.
  //    The "RMS" is not quite the actual RMS (see note below), but the value is only
  //    used for determining max values, and is not quoted as the actual RMS anywhere.
  //
 
  int DigiSize = Charge.size();
 
  if (DigiSize <= 2)
    return 1e-5;  // default statement when DigiSize is too small for useful RMS calculation
                  // Copy Charge vector again, since we are passing references around
  std::vector<double> TempCharge = Charge;
 
  // Sort TempCharge vector from smallest to largest charge
  sort(TempCharge.begin(), TempCharge.end());
 
  double Total = 0;
  double Total2 = 0;
  for (int i = 0; i < DigiSize - 2; i++) {
    Total = Total + TempCharge[i];
    Total2 = Total2 + TempCharge[i] * TempCharge[i];
  }
 
  // This isn't quite the RMS (both Total2 and Total*Total need to be
  // divided by an extra (DigiSize-2) within the sqrt to get the RMS.)
  // We're only using this value for relative comparisons, though; we
  // aren't explicitly interpreting it as the RMS.  It might be nice
  // to either change the calculation or rename the variable in the future, though.
 
  double RMS = sqrt(Total2 - Total * Total / (DigiSize - 2));
 
  double RMS8Max = RMS / TempCharge[DigiSize - 1];
  if (RMS8Max < 1e-5)  // protection against zero
    RMS8Max = 1e-5;
 
  return RMS8Max;
}
//---------------------------------------------------------------------------
double HBHEPulseShapeFlagSetter::PerformLinearFit(const std::vector<double>& Charge) {
  //
  // Performs a straight-line fit over all time slices, and returns the chi2 value
  //
  // The calculation here is based from writing down the formula for chi2 and minimize
  //    with respect to the parameters in the fit, ie., slope and intercept of the straight line
  // By doing two differentiation, we will get two equations, and the best parameters are determined by these
  //
 
  int DigiSize = Charge.size();
 
  double SumTS2OverTi = 0;
  double SumTSOverTi = 0;
  double SumOverTi = 0;
  double SumTiTS = 0;
  double SumTi = 0;
 
  double Error2 = 0;
  for (int i = 0; i < DigiSize; i++) {
    Error2 = Charge[i];
    if (Charge[i] < 1)
      Error2 = 1;
 
    SumTS2OverTi += 1. * i * i / Error2;
    SumTSOverTi += 1. * i / Error2;
    SumOverTi += 1. / Error2;
    SumTiTS += Charge[i] * i / Error2;
    SumTi += Charge[i] / Error2;
  }
 
  double CM1 = SumTS2OverTi;  // Coefficient in front of slope in equation 1
  double CM2 = SumTSOverTi;   // Coefficient in front of slope in equation 2
  double CD1 = SumTSOverTi;   // Coefficient in front of intercept in equation 1
  double CD2 = SumOverTi;     // Coefficient in front of intercept in equation 2
  double C1 = SumTiTS;        // Constant coefficient in equation 1
  double C2 = SumTi;          // Constant coefficient in equation 2
 
  // Denominators always non-zero by construction
  double Slope = (C1 * CD2 - C2 * CD1) / (CM1 * CD2 - CM2 * CD1);
  double Intercept = (C1 * CM2 - C2 * CM1) / (CD1 * CM2 - CD2 * CM1);
 
  // now that the best parameters are found, calculate chi2 from those
  double Chi2 = 0;
  for (int i = 0; i < DigiSize; i++) {
    double Deviation = Slope * i + Intercept - Charge[i];
    double Error2 = Charge[i];
    if (Charge[i] < 1)
      Error2 = 1;
    Chi2 += Deviation * Deviation / Error2;
  }
 
  // safety protection in case of perfect fit
  if (Chi2 < 1e-5)
    Chi2 = 1e-5;
 
  return Chi2;
}
//---------------------------------------------------------------------------
bool HBHEPulseShapeFlagSetter::CheckPassFilter(double Charge,
                                               double Discriminant,
                                               std::vector<std::pair<double, double> >& Cuts,
                                               int Side) {
  //
  // Checks whether Discriminant value passes Cuts for the specified Charge.  True if pulse is good.
  //
  // The "Cuts" pairs are assumed to be sorted in terms of size from small to large,
  //    where each "pair" = (Charge, Discriminant)
  // "Side" is either positive or negative, which determines whether to discard the pulse if discriminant
  //    is greater or smaller than the cut value
  //
 
  if (Cuts.empty())  // safety check that there are some cuts defined
    return true;
 
  if (Charge <= Cuts[0].first)  // too small to cut on
    return true;
 
  int IndexLargerThanCharge = -1;  // find the range it is falling in
  for (int i = 1; i < (int)Cuts.size(); i++) {
    if (Cuts[i].first > Charge) {
      IndexLargerThanCharge = i;
      break;
    }
  }
 
  double limit = 1000000;
 
  if (IndexLargerThanCharge == -1)  // if charge is greater than the last entry, assume flat line
    limit = Cuts[Cuts.size() - 1].second;
  else  // otherwise, do a linear interpolation to find the cut position
  {
    double C1 = Cuts[IndexLargerThanCharge].first;
    double C2 = Cuts[IndexLargerThanCharge - 1].first;
    double L1 = Cuts[IndexLargerThanCharge].second;
    double L2 = Cuts[IndexLargerThanCharge - 1].second;
 
    limit = (Charge - C1) / (C2 - C1) * (L2 - L1) + L1;
  }
 
  if (Side > 0 && Discriminant > limit)
    return false;
  if (Side < 0 && Discriminant < limit)
    return false;
 
  return true;
}
//---------------------------------------------------------------------------