/*
* Delphes: a framework for fast simulation of a generic collider experiment
* Copyright (C) 2012-2014 Universite catholique de Louvain (UCL), Belgium
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
/** \class MomentumSmearing
*
* Performs transverse momentum resolution smearing.
*
* \author P. Demin - UCL, Louvain-la-Neuve
*
*/
#include "modules/MomentumSmearing.h"
#include "classes/DelphesClasses.h"
#include "classes/DelphesFactory.h"
#include "classes/DelphesFormula.h"
#include "ExRootAnalysis/ExRootClassifier.h"
#include "ExRootAnalysis/ExRootFilter.h"
#include "ExRootAnalysis/ExRootResult.h"
#include "TDatabasePDG.h"
#include "TFormula.h"
#include "TLorentzVector.h"
#include "TMath.h"
#include "TObjArray.h"
#include "TRandom3.h"
#include "TString.h"
#include
#include
#include
#include
using namespace std;
//------------------------------------------------------------------------------
MomentumSmearing::MomentumSmearing() :
fFormula(0), fItInputArray(0)
{
fFormula = new DelphesFormula;
}
//------------------------------------------------------------------------------
MomentumSmearing::~MomentumSmearing()
{
if(fFormula) delete fFormula;
}
//------------------------------------------------------------------------------
void MomentumSmearing::Init()
{
// read resolution formula
fFormula->Compile(GetString("ResolutionFormula", "0.0"));
// import input array
fInputArray = ImportArray(GetString("InputArray", "ParticlePropagator/stableParticles"));
fItInputArray = fInputArray->MakeIterator();
// create output array
fOutputArray = ExportArray(GetString("OutputArray", "stableParticles"));
}
//------------------------------------------------------------------------------
void MomentumSmearing::Finish()
{
if(fItInputArray) delete fItInputArray;
}
//------------------------------------------------------------------------------
void MomentumSmearing::Process()
{
Candidate *candidate, *mother;
Double_t pt, eta, phi, e, m, res;
fItInputArray->Reset();
while((candidate = static_cast(fItInputArray->Next())))
{
const TLorentzVector &candidatePosition = candidate->Position;
const TLorentzVector &candidateMomentum = candidate->Momentum;
eta = candidatePosition.Eta();
phi = candidatePosition.Phi();
pt = candidateMomentum.Pt();
e = candidateMomentum.E();
m = candidateMomentum.M();
res = fFormula->Eval(pt, eta, phi, e, candidate);
// apply smearing formula
//pt = gRandom->Gaus(pt, fFormula->Eval(pt, eta, phi, e) * pt);
res = (res > 1.0) ? 1.0 : res;
pt = LogNormal(pt, res * pt);
//if(pt <= 0.0) continue;
mother = candidate;
candidate = static_cast(candidate->Clone());
eta = candidateMomentum.Eta();
phi = candidateMomentum.Phi();
candidate->Momentum.SetPtEtaPhiM(pt, eta, phi, m);
//candidate->TrackResolution = fFormula->Eval(pt, eta, phi, e);
candidate->TrackResolution = res;
candidate->AddCandidate(mother);
fOutputArray->Add(candidate);
}
}
//----------------------------------------------------------------
Double_t MomentumSmearing::LogNormal(Double_t mean, Double_t sigma)
{
Double_t a, b;
if(mean > 0.0)
{
b = TMath::Sqrt(TMath::Log((1.0 + (sigma * sigma) / (mean * mean))));
a = TMath::Log(mean) - 0.5 * b * b;
return TMath::Exp(a + b * gRandom->Gaus(0.0, 1.0));
}
else
{
return 0.0;
}
}
//------------------------------------------------------------------------------