source: git/modules/EnergyLoss.cc@ 77249aa

/*
 *  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 <http://www.gnu.org/licenses/>.
 */

/** \class EnergyLoss
 *
 *  This module computes the charged energy loss according to the active material properties.
 *  The energy loss is simulated with a Landau convoluted by a Gaussian. The active material 
 *  is assumed to be uniformly distributed in the detector volume. The actual active volume
 *  get normalized by multiplying the path length by the parameter ActiveFraction. 
 *
 *
 *  \author M. Selvaggi - CERN
 *
 */

#include "modules/EnergyLoss.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 <algorithm>
#include <iostream>
#include <sstream>
#include <stdexcept>

using namespace std;

//------------------------------------------------------------------------------

EnergyLoss::EnergyLoss() 
{
}

//------------------------------------------------------------------------------

EnergyLoss::~EnergyLoss()
{
}

//------------------------------------------------------------------------------

void EnergyLoss::Init()
{

  fActiveFraction              = GetDouble("ActiveFraction", 0.013); // fraction of active material that measures the deposited charge
  fChargeCollectionEfficiency  = GetDouble("ChargeCollectionEfficiency", 0.75); // this number shifts Landau to the left
  
  // fixme: this number should probably be charge/energy dependent
  fResolution                  = GetDouble("Resolution", 0.15); // 0 - perfect Landau energy loss (0.15 gives good agreement with CMS pixel detector)

  // active material properties (cf. http://pdg.lbl.gov/2014/AtomicNuclearProperties/properties8.dat)
  fZ   =  GetDouble("Z", 14.); 
  fA   =  GetDouble("A",  28.0855); // in g/mol
  frho =  GetDouble("rho", 2.329); // in g/cm3
  fa   =  GetDouble("a", 0.1492);
  fm   =  GetDouble("m", 3.2546);
  fx0  =  GetDouble("x0", 0.2015);
  fx1  =  GetDouble("x1", 2.8716);
  fI   =  GetDouble("I", 173.0); // mean excitation potential in (eV)
  fc0  =  GetDouble("c0", 4.4355);

  // import arrays with output from other modules

  ExRootConfParam param = GetParam("InputArray");
  Long_t i, size;
  const TObjArray *array;
  TIterator *iterator;

  size = param.GetSize();
  for(i = 0; i < size; ++i)
  {
    array = ImportArray(param[i].GetString());
    iterator = array->MakeIterator();

    fInputList.push_back(iterator);
  }

}

//------------------------------------------------------------------------------

void EnergyLoss::Finish()
{
  vector<TIterator *>::iterator itInputList;
  TIterator *iterator;

  for(itInputList = fInputList.begin(); itInputList != fInputList.end(); ++itInputList)
  {
    iterator = *itInputList;
    if(iterator) delete iterator;
  }

}

//------------------------------------------------------------------------------

void EnergyLoss::Process()
{
  Candidate *candidate, *particle, *particleTest;
  vector<TIterator *>::iterator itInputList;
  TIterator *iterator;
  TObjArray *array;

  Double_t beta, gamma, charge, x;
  Double_t kappa, chi, me, I, Wmax, delta, avdE, dP, dx, dE, dEdx;

  //cout<<"---------------- new event -------------------"<<endl;


  // loop over all input arrays
  for(itInputList = fInputList.begin(); itInputList != fInputList.end(); ++itInputList)
  {
    iterator = *itInputList;

    // loop over all candidates
    iterator->Reset();
    while((candidate = static_cast<Candidate *>(iterator->Next())))
    {
      //cout<<"    ---------------- new candidate -------------------"<<endl;
      const TLorentzVector &candidateMomentum = candidate->Momentum;

      beta         = candidateMomentum.Beta();
      gamma        = candidateMomentum.Gamma();

      charge    = TMath::Abs(candidate->Charge);

      // length of the track normalized by the fraction of active material and the charge collection efficiency in the tracker (in cm)
      dx = candidate->L * fActiveFraction * 0.1;
      x = dx * fChargeCollectionEfficiency;

      kappa = 2*0.1535*TMath::Abs(charge)*TMath::Abs(charge)*fZ*frho*x/(fA*beta*beta); //energy loss in MeV

      chi = 0.5*kappa;
      me = 0.510998; // electron mass in MeV, need  
      I = fI*1e-6; // convert I in MeV

      // fixme: max energy transfer wrong for electrons
      Wmax = 2*me*beta*beta*gamma*gamma; // this is not valid for electrons

      delta = Deltaf(fc0, fa, fm, fx0, fx1, beta, gamma);

      // Bethe-Bloch energy loss in MeV (not used here)
      avdE  = kappa*( TMath::Log(Wmax/I) - beta*beta - delta/2);

      // most probable energy (MPV) loss for Landau
      dP = chi*( TMath::Log(Wmax/I) + TMath::Log(chi/I) + 0.2 - beta*beta - delta);

      //cout<<"x: "<<x<<", Beta: "<< beta<<", Gamma: "<<gamma <<", Charge: "<<charge<<endl;

      //cout<<x<<","<<kappa<<endl;
      //cout<<"    Wmax: "<<Wmax<<", Chi: "<<chi<<", delta: "<<delta<<", DeDx: "<<avdE<<", DeltaP: "<<dP<<endl;

      // compute total energy loss in MeV predicted by a Landau
      dE = gRandom->Landau(dP,chi); // this is the total energy loss in MeV predicted by a Landau
  
      // apply additionnal gaussian smearing to simulate finite resolution in charge measurement
      dE = gRandom->Gaus(dE,fResolution*dP);

      dEdx = dx > 0 ? dE/dx : -1. ;

      // store computed dEdx in MeV/cm
      candidate->DeDx = dEdx; 
 
      // add dedx also in Muons in electrons classes in treeWriter
      // fix electrons here
      // think whether any relevance for hits

 
      //cout<<"    eloss: "<<dE<<", dx: "<<dx<<", dEdx: "<<dEdx<<endl;
    }
  }

}


//------------------------------------------------------------------------------

// formula Taken from Leo (2.30) pg. 26
Double_t EnergyLoss::Deltaf(Double_t c0, Double_t a, Double_t m, Double_t x0, Double_t x1, Double_t beta, Double_t gamma)
{
   Double_t x= TMath::Log10(beta*gamma);
   Double_t delta = 0.;
   
   //cout<<x<<","<<x0<<","<<x1<<","<<endl;
   
   if (x < x0)
       delta = 0.;
   if (x >= x0 && x< x1)
       delta = 4.6052*x - c0 + a*TMath::Power(x1 - x,m);
   if  (x> x1)
       delta = 4.6052*x - c0;
       
   return delta;
}