RecoJets/JetAlgorithms/src/QGLikelihoodCalculator.cc - master - githubmirror/cmssw

RecoJets/JetAlgorithms/src/QGLikelihoodCalculator.cc
122 строки4 KB
Matti Kortelainen
Migrate QGTragger to esConsumes
19 авг 2021, 20:50
19 авг 2021, 20:50a8460d4
#include "RecoJets/JetAlgorithms/interface/QGLikelihoodCalculator.h"
#include "CondFormats/JetMETObjects/interface/QGLikelihoodObject.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include <cmath>

/// Compute likelihood for a jet using the QGLikelihoodObject information and a set of variables
float QGLikelihoodCalculator::computeQGLikelihood(
    const QGLikelihoodObject &QGLParamsColl, float pt, float eta, float rho, std::vector<float> vars) const {
  if (!isValidRange(pt, rho, eta, QGLParamsColl.qgValidRange))
    return -1;

  float Q = 1., G = 1.;
  for (unsigned int varIndex = 0; varIndex < vars.size(); ++varIndex) {
    auto quarkEntry = findEntry(QGLParamsColl.data, eta, pt, rho, 0, varIndex);
    auto gluonEntry = findEntry(QGLParamsColl.data, eta, pt, rho, 1, varIndex);
    if (!quarkEntry || !gluonEntry)
      return -2;

    int binQ = quarkEntry->histogram.findBin(vars[varIndex]);
    float Qi = quarkEntry->histogram.binContent(binQ);

    int binG = gluonEntry->histogram.findBin(vars[varIndex]);
    float Gi = gluonEntry->histogram.binContent(binG);

    Q *= Qi;
    G *= Gi;
  }

  if (Q == 0)
    return 0;
  return Q / (Q + G);
}

/// Find matching entry in vector for a given eta, pt, rho, qgIndex and varIndex
const QGLikelihoodObject::Entry *QGLikelihoodCalculator::findEntry(std::vector<QGLikelihoodObject::Entry> const &data,
                                                                   float eta,
                                                                   float pt,
                                                                   float rho,
                                                                   int qgIndex,
                                                                   int varIndex) const {
  QGLikelihoodParameters myParameters;
  myParameters.Rho = rho;
  myParameters.Pt = pt;
  myParameters.Eta = fabs(eta);
  myParameters.QGIndex = qgIndex;
  myParameters.VarIndex = varIndex;

  auto myDataObject = data.begin();
  while (!(myParameters == myDataObject->category)) {
    ++myDataObject;
    if (myDataObject == data.end()) {
      edm::LogWarning("QGLCategoryNotFound")
          << "Jet passed qgValidRange criteria, but no category found with rho=" << rho << ", pt=" << pt
          << ", eta=" << eta << "\nPlease contact cms-qg-workinggroup@cern.ch" << std::endl;
      return nullptr;
    }
  }
  return &*myDataObject;
}

/// Check the valid range of this qg tagger
bool QGLikelihoodCalculator::isValidRange(float pt,
                                          float rho,
                                          float eta,
                                          const QGLikelihoodCategory &qgValidRange) const {
  if (pt < qgValidRange.PtMin)
    return false;
  if (pt > qgValidRange.PtMax)
    return false;
  if (rho < qgValidRange.RhoMin)
    return false;
  if (rho > qgValidRange.RhoMax)
    return false;
  if (fabs(eta) < qgValidRange.EtaMin)
    return false;
  if (fabs(eta) > qgValidRange.EtaMax)
    return false;
  return true;
}

/// Return the smeared qgLikelihood value, given input x0 and parameters a, b, min and max
float QGLikelihoodCalculator::smearingFunction(float x0, float a, float b, float min, float max) const {
  float x = (x0 - min) / (max - min);
  if (x < 0.)
    x = 0.;
  if (x > 1.)
    x = 1.;

  float x1 = tanh(a * atanh(2. * x - 1.) + b) / 2. + .5;
  if (x <= 0.)
    x1 = 0.;
  if (x >= 1.)
    x1 = 1.;

  return x1 * (max - min) + min;
}

// Get systematic smearing
float QGLikelihoodCalculator::systematicSmearing(const QGLikelihoodSystematicsObject &QGLSystematicsColl,
                                                 float pt,
                                                 float eta,
                                                 float rho,
                                                 float qgValue,
                                                 int qgIndex) const {
  if (qgValue < 0 || qgValue > 1)
    return -1.;

  QGLikelihoodParameters myParameters;
  myParameters.Rho = rho;
  myParameters.Pt = pt;
  myParameters.Eta = fabs(eta);
  myParameters.QGIndex = qgIndex;
  myParameters.VarIndex = -1;

  auto myDataObject = QGLSystematicsColl.data.begin();
  while (!(myParameters == myDataObject->systCategory)) {
    ++myDataObject;
    if (myDataObject == QGLSystematicsColl.data.end())
      return -1;  //Smearing not available in the whole qgValidRange: do not throw warnings or errors
  }
  return smearingFunction(qgValue, myDataObject->a, myDataObject->b, myDataObject->lmin, myDataObject->lmax);
}