PuppiAlgo.cc

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#include "CommonTools/PileupAlgos/interface/PuppiAlgo.h"
#include "FWCore/Utilities/interface/Exception.h"
#include "Math/QuantFuncMathCore.h"
#include "Math/SpecFuncMathCore.h"
#include "Math/ProbFunc.h"
#include "TMath.h"

PuppiAlgo::PuppiAlgo(edm::ParameterSet &iConfig) {
  fEtaMin = iConfig.getParameter<std::vector<double>>("etaMin");
  fEtaMax = iConfig.getParameter<std::vector<double>>("etaMax");
  fPtMin = iConfig.getParameter<std::vector<double>>("ptMin");
  fNeutralPtMin = iConfig.getParameter<std::vector<double>>("MinNeutralPt");         // Weighted Neutral Pt Cut
  fNeutralPtSlope = iConfig.getParameter<std::vector<double>>("MinNeutralPtSlope");  // Slope vs #pv
  fRMSEtaSF = iConfig.getParameter<std::vector<double>>("RMSEtaSF");
  fMedEtaSF = iConfig.getParameter<std::vector<double>>("MedEtaSF");
  fEtaMaxExtrap = iConfig.getParameter<double>("EtaMaxExtrap");

  std::vector<edm::ParameterSet> lAlgos = iConfig.getParameter<std::vector<edm::ParameterSet>>("puppiAlgos");
  fNAlgos = lAlgos.size();
  //Uber Configurable Puppi
  std::vector<double> tmprms;
  std::vector<double> tmpmed;

  for (unsigned int i0 = 0; i0 < lAlgos.size(); i0++) {
    int pAlgoId = lAlgos[i0].getParameter<int>("algoId");
    bool pCharged = lAlgos[i0].getParameter<bool>("useCharged");
    bool pWeight0 = lAlgos[i0].getParameter<bool>("applyLowPUCorr");
    int pComb = lAlgos[i0].getParameter<int>("combOpt");                // 0=> add in chi2/1=>Multiply p-values
    double pConeSize = lAlgos[i0].getParameter<double>("cone");         // Min Pt when computing pt and rms
    double pRMSPtMin = lAlgos[i0].getParameter<double>("rmsPtMin");     // Min Pt when computing pt and rms
    double pRMSSF = lAlgos[i0].getParameter<double>("rmsScaleFactor");  // Additional Tuning parameter for Jokers
    fAlgoId.push_back(pAlgoId);
    fCharged.push_back(pCharged);
    fAdjust.push_back(pWeight0);
    fCombId.push_back(pComb);
    fConeSize.push_back(pConeSize);
    fRMSPtMin.push_back(pRMSPtMin);
    fRMSScaleFactor.push_back(pRMSSF);
    double pRMS = 0;
    double pMed = 0;
    double pMean = 0;
    int pNCount = 0;
    fRMS.push_back(pRMS);
    fMedian.push_back(pMed);
    fMean.push_back(pMean);
    fNCount.push_back(pNCount);

    tmprms.clear();
    tmpmed.clear();
    for (unsigned int j0 = 0; j0 < fEtaMin.size(); j0++) {
      tmprms.push_back(pRMS);
      tmpmed.push_back(pMed);
    }
    fRMS_perEta.push_back(tmprms);
    fMedian_perEta.push_back(tmpmed);
  }

  cur_PtMin = -99.;
  cur_NeutralPtMin = -99.;
  cur_NeutralPtSlope = -99.;
  cur_RMS = -99.;
  cur_Med = -99.;
}
PuppiAlgo::~PuppiAlgo() {
  fPups.clear();
  fPupsPV.clear();
}
void PuppiAlgo::reset() {
  fPups.clear();
  fPupsPV.clear();
  for (unsigned int i0 = 0; i0 < fNAlgos; i0++) {
    fMedian[i0] = 0;
    fRMS[i0] = 0;
    fMean[i0] = 0;
    fNCount[i0] = 0;
  }
}

void PuppiAlgo::fixAlgoEtaBin(int i_eta) {
  cur_PtMin = fPtMin[i_eta];
  cur_NeutralPtMin = fNeutralPtMin[i_eta];
  cur_NeutralPtSlope = fNeutralPtSlope[i_eta];
  cur_RMS = fRMS_perEta[0][i_eta];     // 0 is number of algos within this eta bin
  cur_Med = fMedian_perEta[0][i_eta];  // 0 is number of algos within this eta bin
}

void PuppiAlgo::add(const PuppiCandidate &iParticle, const double &iVal, const unsigned int iAlgo) {
  if (iParticle.pt() < fRMSPtMin[iAlgo])
    return;
  // Change from SRR : Previously used fastjet::PseudoJet::user_index to decide the particle type.
  // In CMSSW we use the user_index to specify the index in the input collection, so I invented
  // a new mechanism using the fastjet UserInfo functionality. Of course, it's still just an integer
  // but that interface could be changed (or augmented) if desired / needed.
  int puppi_id = iParticle.puppi_register();
  if (puppi_id == std::numeric_limits<int>::lowest()) {
    throw cms::Exception("PuppiRegisterNotSet") << "The puppi register is not set. This must be set before use.\n";
  }

  // added by Nhan -- for all eta regions, compute mean/RMS from the central charged PU
  if ((std::abs(iParticle.eta()) < fEtaMaxExtrap) && (puppi_id == 2)) {
    fPups.push_back(iVal);
    fNCount[iAlgo]++;
  }
  // for the low PU case, correction.  for checking that the PU-only median will be below the PV particles
  if (std::abs(iParticle.eta()) < fEtaMaxExtrap && (puppi_id == 1))
    fPupsPV.push_back(iVal);
}

//NHAN'S VERSION
void PuppiAlgo::computeMedRMS(const unsigned int &iAlgo) {
  //std::cout << "fNCount[iAlgo] = " << fNCount[iAlgo] << std::endl;
  if (iAlgo >= fNAlgos)
    return;
  if (fNCount[iAlgo] == 0)
    return;

  // sort alphas
  int lNBefore = 0;
  for (unsigned int i0 = 0; i0 < iAlgo; i0++)
    lNBefore += fNCount[i0];
  std::sort(fPups.begin() + lNBefore, fPups.begin() + lNBefore + fNCount[iAlgo]);

  // in case you have alphas == 0
  int lNum0 = 0;
  for (int i0 = lNBefore; i0 < lNBefore + fNCount[iAlgo]; i0++) {
    if (fPups[i0] == 0)
      lNum0 = i0 - lNBefore;
  }

  // comput median, removed lCorr for now
  int lNHalfway = lNBefore + lNum0 + int(double(fNCount[iAlgo] - lNum0) * 0.50);
  fMedian[iAlgo] = fPups[lNHalfway];
  double lMed = fMedian[iAlgo];  //Just to make the readability easier

  int lNRMS = 0;
  for (int i0 = lNBefore; i0 < lNBefore + fNCount[iAlgo]; i0++) {
    fMean[iAlgo] += fPups[i0];
    if (fPups[i0] == 0)
      continue;
    // if(!fCharged[iAlgo] && fAdjust[iAlgo] && fPups[i0] > lMed) continue;
    if (fAdjust[iAlgo] && fPups[i0] > lMed)
      continue;
    lNRMS++;
    fRMS[iAlgo] += (fPups[i0] - lMed) * (fPups[i0] - lMed);
  }
  fMean[iAlgo] /= fNCount[iAlgo];
  if (lNRMS > 0)
    fRMS[iAlgo] /= lNRMS;
  if (fRMS[iAlgo] == 0)
    fRMS[iAlgo] = 1e-5;
  // here is the raw RMS
  fRMS[iAlgo] = sqrt(fRMS[iAlgo]);

  // some ways to do corrections to fRMS and fMedian
  fRMS[iAlgo] *= fRMSScaleFactor[iAlgo];

  if (fAdjust[iAlgo]) {
    //Adjust the p-value to correspond to the median
    std::sort(fPupsPV.begin(), fPupsPV.end());
    int lNPV = 0;
    for (unsigned int i0 = 0; i0 < fPupsPV.size(); i0++)
      if (fPupsPV[i0] <= lMed)
        lNPV++;
    double lAdjust = double(lNPV) / double(lNPV + 0.5 * fNCount[iAlgo]);
    if (lAdjust > 0) {
      fMedian[iAlgo] -= sqrt(ROOT::Math::chisquared_quantile(lAdjust, 1.) * fRMS[iAlgo]);
      fRMS[iAlgo] -= sqrt(ROOT::Math::chisquared_quantile(lAdjust, 1.) * fRMS[iAlgo]);
    }
  }

  // fRMS_perEta[iAlgo]    *= cur_RMSEtaSF;
  // fMedian_perEta[iAlgo] *= cur_MedEtaSF;

  for (unsigned int j0 = 0; j0 < fEtaMin.size(); j0++) {
    fRMS_perEta[iAlgo][j0] = fRMS[iAlgo] * fRMSEtaSF[j0];
    fMedian_perEta[iAlgo][j0] = fMedian[iAlgo] * fMedEtaSF[j0];
  }
}

//This code is probably a bit confusing
double PuppiAlgo::compute(std::vector<double> const &iVals, double iChi2) const {
  if (fAlgoId[0] == -1)
    return 1;
  double lVal = 0.;
  double lPVal = 1.;
  int lNDOF = 0;
  for (unsigned int i0 = 0; i0 < fNAlgos; i0++) {
    if (fNCount[i0] == 0)
      return 1.;                       //in the NoPU case return 1.
    if (fCombId[i0] == 1 && i0 > 0) {  //Compute the previous p-value so that p-values can be multiplieed
      double pPVal = ROOT::Math::chisquared_cdf(lVal, lNDOF);
      lPVal *= pPVal;
      lNDOF = 0;
      lVal = 0;
    }
    double pVal = iVals[i0];
    //Special Check for any algo with log(0)
    if (fAlgoId[i0] == 0 && iVals[i0] == 0)
      pVal = cur_Med;
    if (fAlgoId[i0] == 3 && iVals[i0] == 0)
      pVal = cur_Med;
    if (fAlgoId[i0] == 5 && iVals[i0] == 0)
      pVal = cur_Med;
    lVal += (pVal - cur_Med) * (fabs(pVal - cur_Med)) / cur_RMS / cur_RMS;
    lNDOF++;
    if (i0 == 0 && iChi2 != 0)
      lNDOF++;  //Add external Chi2 to first element
    if (i0 == 0 && iChi2 != 0)
      lVal += iChi2;  //Add external Chi2 to first element
  }
  //Top it off with the last calc
  lPVal *= ROOT::Math::chisquared_cdf(lVal, lNDOF);
  return lPVal;
}
// ------------------------------------------------------------------------------------------
void PuppiAlgo::fillDescriptionsPuppiAlgo(edm::ParameterSetDescription &desc) {
  edm::ParameterSetDescription puppialgos;
  puppialgos.add<int>("algoId", 5);
  puppialgos.add<bool>("useCharged", false);
  puppialgos.add<bool>("applyLowPUCorr", false);
  puppialgos.add<int>("combOpt", 5);
  puppialgos.add<double>("cone", .4);
  puppialgos.add<double>("rmsPtMin", .1);
  puppialgos.add<double>("rmsScaleFactor", 1.0);
  std::vector<edm::ParameterSet> VPSetPuppiAlgos;
  edm::ParameterSet puppiset;
  puppiset.addParameter<int>("algoId", 5);
  puppiset.addParameter<bool>("useCharged", false);
  puppiset.addParameter<bool>("applyLowPUCorr", false);
  puppiset.addParameter<int>("combOpt", 5);
  puppiset.addParameter<double>("cone", .4);
  puppiset.addParameter<double>("rmsPtMin", .1);
  puppiset.addParameter<double>("rmsScaleFactor", 1.0);
  VPSetPuppiAlgos.push_back(puppiset);

  edm::ParameterSetDescription algos;
  algos.addVPSet("puppiAlgos", puppialgos, VPSetPuppiAlgos);
  std::vector<edm::ParameterSet> VPSetAlgos;
  edm::ParameterSet algosset;
  algos.add<std::vector<double>>("etaMin", {0.});
  algos.add<std::vector<double>>("etaMax", {2.5});
  algos.add<std::vector<double>>("ptMin", {0.});
  algos.add<std::vector<double>>("MinNeutralPt", {0.2});
  algos.add<std::vector<double>>("MinNeutralPtSlope", {0.015});
  algos.add<std::vector<double>>("RMSEtaSF", {1.0});
  algos.add<std::vector<double>>("MedEtaSF", {1.0});
  algos.add<double>("EtaMaxExtrap", 2.0);
  algosset.addParameter<std::vector<double>>("etaMin", {0.});
  algosset.addParameter<std::vector<double>>("etaMax", {2.5});
  algosset.addParameter<std::vector<double>>("ptMin", {0.});
  algosset.addParameter<std::vector<double>>("MinNeutralPt", {0.2});
  algosset.addParameter<std::vector<double>>("MinNeutralPtSlope", {0.015});
  algosset.addParameter<std::vector<double>>("RMSEtaSF", {1.0});
  algosset.addParameter<std::vector<double>>("MedEtaSF", {1.0});
  algosset.addParameter<double>("EtaMaxExtrap", 2.0);
  algosset.addParameter<std::vector<edm::ParameterSet>>("puppiAlgos", VPSetPuppiAlgos);
  VPSetAlgos.push_back(algosset);
  desc.addVPSet("algos", algos, VPSetAlgos);
}