/* $Id$ */
-//----------------------------------------------------------------------------
-// Implementation of the class to calculate the parton energy loss
-// Based on the "BDMPS" quenching weights by C.A.Salgado and U.A.Wiedemann
-//
-// References:
-// C.A.Salgado and U.A.Wiedemann, Phys.Rev.D68 (2003) 014008 [hep-ph/0302184]
-// A.Dainese, Eur.Phys.J.C, in press, [nucl-ex/0312005]
+
+// Implementation of the class to calculate the parton energy loss
+// Based on the "BDMPS" quenching weights by C.A.Salgado and U.A.Wiedemann
+// References:
+// C.A.Salgado and U.A.Wiedemann, Phys.Rev.D68 (2003) 014008 [hep-ph/0302184]
+// A.Dainese, Eur.Phys.J.C, in press, [nucl-ex/0312005]
//
//
// Origin: C. Loizides constantinos.loizides@cern.ch
//
//=================== Added by C. Loizides 27/03/04 ===========================
//
-// Added support for k-Quenching, where wc=I1*k and R=2I1^2/I0*k
-// (see the AliFastGlauber class for definition of I0/I1)
+// Added support for k-Quenching, where wc=I1*k and R=2I1^2/I0*k
+// (see the AliFastGlauber class for definition of I0/I1)
//-----------------------------------------------------------------------------
#include <Riostream.h>
const Double_t AliQuenchingWeights::fgkRMax = 1.e6;
// hist binning
-const Int_t AliQuenchingWeights::fgBins = 1300;
-const Double_t AliQuenchingWeights::fgMaxBin = 1.3;
+const Int_t AliQuenchingWeights::fgkBins = 1300;
+const Double_t AliQuenchingWeights::fgkMaxBin = 1.3;
// counter for histogram labels
Int_t AliQuenchingWeights::fgCounter = 0;
SetMu();
SetQTransport();
SetK();
- fECMethod=kReweight; //this is to force printout
- SetECMethod();
+ fECMethod=kDefault;
SetLengthMax();
fLengthMaxOld=0;
fInstanceNumber=fgCounter++;
Char_t name[100];
sprintf(name,"hhistoqw_%d",fInstanceNumber);
- fHisto = new TH1F(name,"",fgBins,0.,fgMaxBin);
- for(Int_t bin=1;bin<=fgBins;bin++)
+ fHisto = new TH1F(name,"",fgkBins,0.,fgkMaxBin);
+ for(Int_t bin=1;bin<=fgkBins;bin++)
fHisto->SetBinContent(bin,0.);
}
fInstanceNumber=fgCounter++;
Char_t name[100];
sprintf(name,"hhistoqw_%d",fInstanceNumber);
- fHisto = new TH1F(name,"",fgBins,0.,fgMaxBin);
- for(Int_t bin=1;bin<=fgBins;bin++)
+ fHisto = new TH1F(name,"",fgkBins,0.,fgkMaxBin);
+ for(Int_t bin=1;bin<=fgkBins;bin++)
fHisto->SetBinContent(bin,0.);
//Missing in the class is the pathname
{
//set energy constraint method
- if(fECMethod==type) return;
fECMethod=type;
if(fECMethod==kDefault)
Info("SetECMethod","Energy Constraint Method set to DEFAULT:\nIf (sampled energy loss > parton energy) then sampled energy loss = parton energy.");
- else
+ else if(fECMethod==kReweight)
Info("SetECMethod","Energy Constraint Method set to REWEIGHT:\nRequire sampled energy loss <= parton energy.");
+ else Info("SetECMethod","Energy Constraint Method set to REWEIGHTCONT:\nRequire sampled energy loss <= parton energy (only implemented for FAST method.");
}
Int_t AliQuenchingWeights::InitMult(const Char_t *contall,const Char_t *discall)
Double_t AliQuenchingWeights::CalcR(Double_t wc, Double_t l) const
{
- //calculate R value and
+ //calculate r value and
//check if it is less then maximum
- Double_t R = wc*l*fgkConvFmToInvGeV;
- if(R>fgkRMax) {
- Warning("CalcR","Value of R = %.2f; should be less than %.2f",R,fgkRMax);
- return -R;
+ Double_t r = wc*l*fgkConvFmToInvGeV;
+ if(r >= fgkRMax) {
+ Warning("CalcR","Value of r = %.2f; should be less than %.2f", r, fgkRMax);
+ return fgkRMax-1;
}
- return R;
+ return r;
}
Double_t AliQuenchingWeights::CalcRk(Double_t k, Double_t I0, Double_t I1) const
//calculate R value and
//check if it is less then maximum
- Double_t R = fgkRMax;
+ Double_t r = fgkRMax-1;
if(I0>0)
- R = 2*I1*I1/I0*k;
- if(R>fgkRMax) {
- Warning("CalcRk","Value of R = %.2f; should be less than %.2f",R,fgkRMax);
- return -R;
+ r = 2*I1*I1/I0*k;
+ if(r>=fgkRMax) {
+ Warning("CalcRk","Value of r = %.2f; should be less than %.2f",r,fgkRMax);
+ return fgkRMax-1;
}
- return R;
+ return r;
}
Double_t AliQuenchingWeights::GetELossRandom(Int_t ipart, Double_t length, Double_t e) const
if(l<=0) return 0.;
if(fECMethod==kReweight){
- TH1F *dummy=new TH1F(*fHistos[ipart-1][l-1]);
- dummy->SetName("dummy");
- for(Int_t bin=dummy->FindBin(e)+1;bin<=fgBins;bin++){
- dummy->SetBinContent(bin,0.);
+ Double_t ret = 2.*e;
+ Int_t ws=0;
+ while(ret>e){
+ ret=fHistos[ipart-1][l-1]->GetRandom();
+ if(++ws==1e6){
+ Warning("GetELossRandom",
+ "Aborted reweighting; maximum loss assigned after 1e6 trials.");
+ return e;
+ }
}
- dummy->Scale(1./dummy->Integral());
- Double_t ret=dummy->GetRandom();
- delete dummy;
- return ret;
- //****** !! ALTERNATIVE WAY OF DOING IT !! ***
- //Double_t ret = 2.*e;
- //while(ret>e) ret=fHistos[ipart-1][l-1]->GetRandom();
- //return ret;
- //********************************************
- } else { //kDefault
- Double_t ret=fHistos[ipart-1][l-1]->GetRandom();
- if(ret>e) return e;
return ret;
}
+ //kDefault
+ Double_t ret=fHistos[ipart-1][l-1]->GetRandom();
+ if(ret>e) return e;
+ return ret;
}
Double_t AliQuenchingWeights::CalcQuenchedEnergy(Int_t ipart, Double_t length, Double_t e) const
return -1000.;
}
- Double_t R=CalcRk(I0,I1);
- if(R<0){
+ Double_t r=CalcRk(I0,I1);
+ if(r<0.){
Fatal("GetELossRandomK","R should not be negative");
return -1000.;
}
Double_t wc=CalcWCk(I1);
- if(wc<=0){
+ if(wc<=0.){
Fatal("GetELossRandomK","wc should be greater than zero");
return -1000.;
}
- if(SampleEnergyLoss(ipart,R)!=0){
- cout << ipart << " " << R << endl;
+ if(SampleEnergyLoss(ipart,r)!=0){
Fatal("GetELossRandomK","Could not sample energy loss");
return -1000.;
}
if(fECMethod==kReweight){
- TH1F *dummy=new TH1F(*fHisto);
- dummy->SetName("dummy");
- for(Int_t bin=dummy->FindBin(e/wc)+1;bin<=fgBins;bin++){
- dummy->SetBinContent(bin,0.);
+ Double_t ret = 2.*e;
+ Int_t ws=0;
+ while(ret>e){
+ ret=fHisto->GetRandom();
+ if(++ws==1e6){
+ Warning("GetELossRandomK",
+ "Aborted reweighting; maximum loss assigned after 1e6 trials.");
+ return e;
+ }
}
- dummy->Scale(1./dummy->Integral());
- Double_t ret=dummy->GetRandom()*wc;
- delete dummy;
- return ret;
- //****** !! ALTERNATIVE WAY OF DOING IT !! ***
- //Double_t ret = 2.*e;
- //while(ret>e) ret=fHisto->GetRandom();
- //return ret;
- //********************************************
- } else { //kDefault
- Double_t ret=fHisto->GetRandom()*wc;
- if(ret>e) return e;
return ret;
}
+
+ //kDefault
+ Double_t ret=fHisto->GetRandom()*wc;
+ if(ret>e) return e;
+ return ret;
}
Double_t AliQuenchingWeights::CalcQuenchedEnergyK(Int_t ipart, Double_t I0, Double_t I1, Double_t e)
return e-loss;
}
+Double_t AliQuenchingWeights::GetELossRandomKFast(Int_t ipart, Double_t I0, Double_t I1, Double_t e)
+{
+ // return DeltaE for new dynamic version
+ // for given parton type, I0 and I1 value and energy
+ // Dependant on ECM (energy constraint method)
+ // e is used to determine where to set bins to zero.
+ // method is optimized and should only be used if
+ // all parameters are well within the bounds.
+ // read-in data tables before first call
+
+ Double_t r=CalcRk(I0,I1);
+ if(r<=0.){
+ return 0.;
+ }
+
+ Double_t wc=CalcWCk(I1);
+ if(wc<=0.){
+ return 0.;
+ }
+
+ return GetELossRandomKFastR(ipart,r,wc,e);
+}
+
+Double_t AliQuenchingWeights::GetELossRandomKFastR(Int_t ipart, Double_t r, Double_t wc, Double_t e)
+{
+ // return DeltaE for new dynamic version
+ // for given parton type, R and wc value and energy
+ // Dependant on ECM (energy constraint method)
+ // e is used to determine where to set bins to zero.
+ // method is optimized and should only be used if
+ // all parameters are well within the bounds.
+ // read-in data tables before first call
+
+ if(r>=fgkRMax) {
+ r=fgkRMax-1;
+ }
+
+ Double_t discrete=0.;
+ Double_t continuous=0.;
+ Int_t bin=1;
+ Double_t xxxx = fHisto->GetBinCenter(bin);
+ if(fMultSoft)
+ CalcMult(ipart,r,xxxx,continuous,discrete);
+ else
+ CalcSingleHard(ipart,r,xxxx,continuous,discrete);
+
+ if(discrete>=1.0) {
+ return 0.; //no energy loss
+ }
+
+ fHisto->SetBinContent(bin,continuous);
+ Int_t kbinmax=fHisto->FindBin(e/wc);
+ if(kbinmax>=fgkBins) kbinmax=fgkBins-1;
+ if(kbinmax==1) return e; //maximum energy loss
+
+ if(fMultSoft) {
+ for(Int_t bin=2; bin<=kbinmax; bin++) {
+ xxxx = fHisto->GetBinCenter(bin);
+ CalcMult(ipart,r,xxxx,continuous,discrete);
+ fHisto->SetBinContent(bin,continuous);
+ }
+ } else {
+ for(Int_t bin=2; bin<=kbinmax; bin++) {
+ xxxx = fHisto->GetBinCenter(bin);
+ CalcSingleHard(ipart,r,xxxx,continuous,discrete);
+ fHisto->SetBinContent(bin,continuous);
+ }
+ }
+
+ if(fECMethod==kReweight){
+ fHisto->SetBinContent(kbinmax+1,0);
+ fHisto->Fill(0.,discrete*fgkBins/fgkMaxBin);
+ } else if (fECMethod==kReweightCont) {
+ fHisto->SetBinContent(kbinmax+1,0);
+ const Double_t kdelta=fHisto->Integral(1,kbinmax);
+ fHisto->Scale(1./kdelta*(1-discrete));
+ fHisto->Fill(0.,discrete);
+ } else {
+ const Double_t kdelta=fHisto->Integral(1,kbinmax);
+ Double_t val=discrete*fgkBins/fgkMaxBin;
+ fHisto->Fill(0.,val);
+ fHisto->SetBinContent(kbinmax+1,(1-discrete)*fgkBins/fgkMaxBin-kdelta);
+ }
+ for(Int_t bin=kbinmax+2; bin<=fgkBins; bin++) {
+ fHisto->SetBinContent(bin,0);
+ }
+ //cout << kbinmax << " " << discrete << " " << fHisto->Integral() << endl;
+ Double_t ret=fHisto->GetRandom()*wc;
+ if(ret>e) return e;
+ return ret;
+}
+
+Double_t AliQuenchingWeights::CalcQuenchedEnergyKFast(Int_t ipart, Double_t I0, Double_t I1, Double_t e)
+{
+ //return quenched parton energy (fast method)
+ //for given parton type, I0 and I1 value and energy
+
+ Double_t loss=GetELossRandomKFast(ipart,I0,I1,e);
+ return e-loss;
+}
+
+Double_t AliQuenchingWeights::GetDiscreteWeight(Int_t ipart, Double_t I0, Double_t I1)
+{
+ // return discrete weight
+
+ Double_t r=CalcRk(I0,I1);
+ if(r<=0.){
+ return 1.;
+ }
+ return GetDiscreteWeightR(ipart,r);
+}
+
+Double_t AliQuenchingWeights::GetDiscreteWeightR(Int_t ipart, Double_t r)
+{
+ // return discrete weight
+
+ if(r>=fgkRMax) {
+ r=fgkRMax-1;
+ }
+
+ Double_t discrete=0.;
+ Double_t continuous=0.;
+ Int_t bin=1;
+ Double_t xxxx = fHisto->GetBinCenter(bin);
+ if(fMultSoft)
+ CalcMult(ipart,r,xxxx,continuous,discrete);
+ else
+ CalcSingleHard(ipart,r,xxxx,continuous,discrete);
+ return discrete;
+}
+
+void AliQuenchingWeights::GetZeroLossProb(Double_t &p,Double_t &prw,Double_t &prwcont,
+ Int_t ipart,Double_t I0,Double_t I1,Double_t e)
+{
+ //calculate the probabilty that there is no energy
+ //loss for different ways of energy constraint
+ p=1.;prw=1.;prwcont=1.;
+ Double_t r=CalcRk(I0,I1);
+ if(r<=0.){
+ return;
+ }
+ Double_t wc=CalcWCk(I1);
+ if(wc<=0.){
+ return;
+ }
+ GetZeroLossProbR(p,prw,prwcont,ipart,r,wc,e);
+}
+
+void AliQuenchingWeights::GetZeroLossProbR(Double_t &p,Double_t &prw,Double_t &prwcont,
+ Int_t ipart, Double_t r,Double_t wc,Double_t e)
+{
+ //calculate the probabilty that there is no energy
+ //loss for different ways of energy constraint
+ if(r>=fgkRMax) {
+ r=fgkRMax-1;
+ }
+
+ Double_t discrete=0.;
+ Double_t continuous=0.;
+
+ Int_t kbinmax=fHisto->FindBin(e/wc);
+ if(kbinmax>=fgkBins) kbinmax=fgkBins-1;
+ if(fMultSoft) {
+ for(Int_t bin=1; bin<=kbinmax; bin++) {
+ Double_t xxxx = fHisto->GetBinCenter(bin);
+ CalcMult(ipart,r,xxxx,continuous,discrete);
+ fHisto->SetBinContent(bin,continuous);
+ }
+ } else {
+ for(Int_t bin=1; bin<=kbinmax; bin++) {
+ Double_t xxxx = fHisto->GetBinCenter(bin);
+ CalcSingleHard(ipart,r,xxxx,continuous,discrete);
+ fHisto->SetBinContent(bin,continuous);
+ }
+ }
+
+ //non-reweighted P(Delta E = 0)
+ const Double_t kdelta=fHisto->Integral(1,kbinmax);
+ Double_t val=discrete*fgkBins/fgkMaxBin;
+ fHisto->Fill(0.,val);
+ fHisto->SetBinContent(kbinmax+1,(1-discrete)*fgkBins/fgkMaxBin-kdelta);
+ Double_t hint=fHisto->Integral(1,kbinmax+1);
+ p=fHisto->GetBinContent(1)/hint;
+
+ // reweighted
+ hint=fHisto->Integral(1,kbinmax);
+ prw=fHisto->GetBinContent(1)/hint;
+
+ Double_t xxxx = fHisto->GetBinCenter(1);
+ CalcMult(ipart,r,xxxx,continuous,discrete);
+ fHisto->SetBinContent(1,continuous);
+ hint=fHisto->Integral(1,kbinmax);
+ fHisto->Scale(1./hint*(1-discrete));
+ fHisto->Fill(0.,discrete);
+ prwcont=fHisto->GetBinContent(1);
+}
+
Int_t AliQuenchingWeights::SampleEnergyLoss()
{
// Has to be called to fill the histograms
sprintf(hname,"hDisc-ContQW_%s_%d_%d_%d_%d",meddesc,fInstanceNumber,ipart,medvalue,l);
Double_t len=l/4.;
Double_t wc = CalcWC(len);
- fHistos[ipart-1][l-1] = new TH1F(hname,hname,fgBins,0.,fgMaxBin*wc);
+ fHistos[ipart-1][l-1] = new TH1F(hname,hname,fgkBins,0.,fgkMaxBin*wc);
fHistos[ipart-1][l-1]->SetXTitle("#Delta E [GeV]");
fHistos[ipart-1][l-1]->SetYTitle("p(#Delta E)");
fHistos[ipart-1][l-1]->SetLineColor(4);
Double_t rrrr = CalcR(wc,len);
Double_t discrete=0.;
// loop on histogram channels
- for(Int_t bin=1; bin<=fgBins; bin++) {
+ for(Int_t bin=1; bin<=fgkBins; bin++) {
Double_t xxxx = fHistos[ipart-1][l-1]->GetBinCenter(bin)/wc;
Double_t continuous;
if(fMultSoft)
}
// add discrete part to distribution
if(discrete>=1.)
- for(Int_t bin=2;bin<=fgBins;bin++)
+ for(Int_t bin=2;bin<=fgkBins;bin++)
fHistos[ipart-1][l-1]->SetBinContent(bin,0.);
else {
- Double_t val=discrete/(1.-discrete)*fHistos[ipart-1][l-1]->Integral(1,fgBins);
+ Double_t val=discrete/(1.-discrete)*fHistos[ipart-1][l-1]->Integral(1,fgkBins);
fHistos[ipart-1][l-1]->Fill(0.,val);
}
- Double_t hint=fHistos[ipart-1][l-1]->Integral(1,fgBins);
+ Double_t hint=fHistos[ipart-1][l-1]->Integral(1,fgkBins);
fHistos[ipart-1][l-1]->Scale(1./hint);
}
}
return 0;
}
-Int_t AliQuenchingWeights::SampleEnergyLoss(Int_t ipart, Double_t R)
+Int_t AliQuenchingWeights::SampleEnergyLoss(Int_t ipart, Double_t r)
{
// Sample energy loss directly for one particle type
// choses R (safe it and keep it until next call of function)
Int_t bin=1;
Double_t xxxx = fHisto->GetBinCenter(bin);
if(fMultSoft)
- CalcMult(ipart,R,xxxx,continuous,discrete);
+ CalcMult(ipart,r,xxxx,continuous,discrete);
else
- CalcSingleHard(ipart,R,xxxx,continuous,discrete);
+ CalcSingleHard(ipart,r,xxxx,continuous,discrete);
if(discrete>=1.) {
fHisto->SetBinContent(1,1.);
- for(Int_t bin=2;bin<=fgBins;bin++)
+ for(Int_t bin=2;bin<=fgkBins;bin++)
fHisto->SetBinContent(bin,0.);
return 0;
}
fHisto->SetBinContent(bin,continuous);
- for(Int_t bin=2; bin<=fgBins; bin++) {
+ for(Int_t bin=2; bin<=fgkBins; bin++) {
xxxx = fHisto->GetBinCenter(bin);
if(fMultSoft)
- CalcMult(ipart,R,xxxx,continuous,discrete);
+ CalcMult(ipart,r,xxxx,continuous,discrete);
else
- CalcSingleHard(ipart,R,xxxx,continuous,discrete);
+ CalcSingleHard(ipart,r,xxxx,continuous,discrete);
fHisto->SetBinContent(bin,continuous);
}
- // add discrete part to distribution
- Double_t val=discrete/(1.-discrete)*fHisto->Integral(1,fgBins);
+
+ Double_t val=discrete/(1.-discrete)*fHisto->Integral(1,fgkBins);
fHisto->Fill(0.,val);
-
- Double_t hint=fHisto->Integral(1,fgBins);
+ Double_t hint=fHisto->Integral(1,fgkBins);
if(hint!=0)
fHisto->Scale(1./hint);
else {
- cout << discrete << " " << hint << " " << continuous << endl;
+ //cout << discrete << " " << hint << " " << continuous << endl;
return -1;
}
return 0;
sprintf(hname,"hContQWHisto_%s_%d_%d_%d",meddesc,ipart,
(Int_t)(medval*1000.),(Int_t)length);
- TH1F *hist = new TH1F("hist",hname,fgBins,0.,fgMaxBin*wc);
+ TH1F *hist = new TH1F("hist",hname,fgkBins,0.,fgkMaxBin*wc);
hist->SetXTitle("#Delta E [GeV]");
hist->SetYTitle("p(#Delta E)");
hist->SetLineColor(4);
Double_t rrrr = CalcR(wc,length);
//loop on histogram channels
- for(Int_t bin=1; bin<=fgBins; bin++) {
+ for(Int_t bin=1; bin<=fgkBins; bin++) {
Double_t xxxx = hist->GetBinCenter(bin)/wc;
Double_t continuous,discrete;
Int_t ret=0;
sprintf(hname,"hContQWHistox_%s_%d_%d_%d",meddesc,ipart,
(Int_t)(medval*1000.),(Int_t)length);
- TH1F *histx = new TH1F("histx",hname,fgBins,0.,fgMaxBin);
+ TH1F *histx = new TH1F("histx",hname,fgkBins,0.,fgkMaxBin);
histx->SetXTitle("x = #Delta E/#omega_{c}");
if(fMultSoft)
histx->SetYTitle("p(#Delta E/#omega_{c})");
Double_t rrrr = CalcR(wc,length);
//loop on histogram channels
- for(Int_t bin=1; bin<=fgBins; bin++) {
+ for(Int_t bin=1; bin<=fgkBins; bin++) {
Double_t xxxx = histx->GetBinCenter(bin);
Double_t continuous,discrete;
Int_t ret=0;
return histx;
}
-TH1F* AliQuenchingWeights::ComputeQWHistoX(Int_t ipart,Double_t R) const
+TH1F* AliQuenchingWeights::ComputeQWHistoX(Int_t ipart,Double_t r) const
{
// compute P(E) distribution for
// given ipart = 1 for quark, 2 for gluon
}
Char_t hname[100];
- sprintf(hname,"hQWHistox_%s_%d_%.2f",meddesc,ipart,R);
- TH1F *histx = new TH1F("histx",hname,fgBins,0.,fgMaxBin);
+ sprintf(hname,"hQWHistox_%s_%d_%.2f",meddesc,ipart,r);
+ TH1F *histx = new TH1F("histx",hname,fgkBins,0.,fgkMaxBin);
histx->SetXTitle("x = #Delta E/#omega_{c}");
if(fMultSoft)
histx->SetYTitle("p(#Delta E/#omega_{c})");
histx->SetYTitle("p(#Delta E/#bar#omega_{c})");
histx->SetLineColor(4);
- Double_t rrrr = R;
+ Double_t rrrr = r;
Double_t continuous=0.,discrete=0.;
//loop on histogram channels
- for(Int_t bin=1; bin<=fgBins; bin++) {
+ for(Int_t bin=1; bin<=fgkBins; bin++) {
Double_t xxxx = histx->GetBinCenter(bin);
Int_t ret=0;
if(fMultSoft) ret=CalcMult(ipart,rrrr,xxxx,continuous,discrete);
//add discrete part to distribution
if(discrete>=1.)
- for(Int_t bin=2;bin<=fgBins;bin++)
+ for(Int_t bin=2;bin<=fgkBins;bin++)
histx->SetBinContent(bin,0.);
else {
- Double_t val=discrete/(1.-discrete)*histx->Integral(1,fgBins);
+ Double_t val=discrete/(1.-discrete)*histx->Integral(1,fgkBins);
histx->Fill(0.,val);
}
- Double_t hint=histx->Integral(1,fgBins);
+ Double_t hint=histx->Integral(1,fgkBins);
if(hint!=0) histx->Scale(1./hint);
return histx;
return h;
}
-TH1F* AliQuenchingWeights::ComputeELossHisto(Int_t ipart,Double_t R) const
+TH1F* AliQuenchingWeights::ComputeELossHisto(Int_t ipart,Double_t r) const
{
// compute energy loss histogram for
// parton type and given R
- TH1F *dummy = ComputeQWHistoX(ipart,R);
+ TH1F *dummy = ComputeQWHistoX(ipart,r);
if(!dummy) return 0;
Char_t hname[100];
- sprintf(hname,"hELossHistox_%d_%.2f",ipart,R);
- TH1F *histx = new TH1F("histxr",hname,fgBins,0.,fgMaxBin);
+ sprintf(hname,"hELossHistox_%d_%.2f",ipart,r);
+ TH1F *histx = new TH1F("histxr",hname,fgkBins,0.,fgkMaxBin);
for(Int_t i=0;i<100000;i++){
//if(i % 1000 == 0) cout << "." << flush;
Double_t loss=dummy->GetRandom();
return ret;
}
-Double_t AliQuenchingWeights::GetMeanELoss(Int_t ipart,Double_t R) const
+Double_t AliQuenchingWeights::GetMeanELoss(Int_t ipart,Double_t r) const
{
// compute average energy loss over wc
// for parton type and given R
- TH1F *dummy = ComputeELossHisto(ipart,R);
+ TH1F *dummy = ComputeELossHisto(ipart,r);
if(!dummy) return 0;
Double_t ret=dummy->GetMean();
delete dummy;
return ret;
}
-void AliQuenchingWeights::PlotDiscreteWeights(Double_t len) const
+void AliQuenchingWeights::PlotDiscreteWeights(Double_t len,Double_t qm) const
{
// plot discrete weights for given length
c = new TCanvas("cdiscsh","Discrete Weight for Single Hard Scattering",0,0,500,400);
c->cd();
- TH2F *hframe = new TH2F("hdisc","",2,0,5.1,2,0,1);
+ TH2F *hframe = new TH2F("hdisc","",2,0,qm+.1,2,0,1.25);
hframe->SetStats(0);
if(fMultSoft)
hframe->SetXTitle("#hat{q} [GeV^{2}/fm]");
else
hframe->SetXTitle("#mu [GeV]");
- hframe->SetYTitle("Probability #Delta E = 0 , p_{0}");
+ //hframe->SetYTitle("Probability #Delta E = 0 , p_{0}");
+ hframe->SetYTitle("p_{0} (discrete weight)");
hframe->Draw();
- TGraph *gq=new TGraph(20);
+ Int_t points=(Int_t)qm*4;
+ TGraph *gq=new TGraph(points);
Int_t i=0;
if(fMultSoft) {
- for(Double_t q=0.05;q<=5.05;q+=0.25){
+ for(Double_t q=0.05;q<=qm+.05;q+=0.25){
Double_t disc,cont;
CalcMult(1,1.0,q,len,cont,disc);
gq->SetPoint(i,q,disc);i++;
}
} else {
- for(Double_t m=0.05;m<=5.05;m+=0.25){
+ for(Double_t m=0.05;m<=qm+.05;m+=0.25){
Double_t disc,cont;
CalcSingleHard(1,1.0,m,len,cont, disc);
gq->SetPoint(i,m,disc);i++;
}
}
gq->SetMarkerStyle(20);
- gq->Draw("pl");
+ gq->SetMarkerColor(1);
+ gq->SetLineStyle(1);
+ gq->SetLineColor(1);
+ gq->Draw("l");
- TGraph *gg=new TGraph(20);
+ TGraph *gg=new TGraph(points);
i=0;
if(fMultSoft){
- for(Double_t q=0.05;q<=5.05;q+=0.25){
+ for(Double_t q=0.05;q<=qm+.05;q+=0.25){
Double_t disc,cont;
CalcMult(2,1.0,q,len,cont,disc);
gg->SetPoint(i,q,disc);i++;
}
} else {
- for(Double_t m=0.05;m<=5.05;m+=0.25){
+ for(Double_t m=0.05;m<=qm+.05;m+=0.25){
Double_t disc,cont;
CalcSingleHard(2,1.0,m,len,cont,disc);
gg->SetPoint(i,m,disc);i++;
}
}
gg->SetMarkerStyle(24);
- gg->Draw("pl");
+ gg->SetMarkerColor(2);
+ gg->SetLineStyle(2);
+ gg->SetLineColor(2);
+ gg->Draw("l");
TLegend *l1a = new TLegend(0.5,0.6,.95,0.8);
l1a->SetFillStyle(0);
Char_t label[100];
sprintf(label,"L = %.1f fm",len);
l1a->AddEntry(gq,label,"");
- l1a->AddEntry(gq,"quark","pl");
- l1a->AddEntry(gg,"gluon","pl");
+ l1a->AddEntry(gq,"quark projectile","l");
+ l1a->AddEntry(gg,"gluon projectile","l");
l1a->Draw();
c->Update();
c->Update();
}
-void AliQuenchingWeights::PlotAvgELoss(Double_t len,Double_t e) const
+void AliQuenchingWeights::PlotAvgELoss(Double_t len,Double_t qm,Double_t e) const
{
// plot average energy loss for given length
// and parton energy
TCanvas *c = new TCanvas(name,title,0,0,500,400);
c->cd();
- TH2F *hframe = new TH2F("avgloss",title,2,0,5.1,2,0,100);
+ TH2F *hframe = new TH2F("avgloss","",2,0,qm+.1,2,0,100);
hframe->SetStats(0);
if(fMultSoft)
hframe->SetXTitle("#hat{q} [GeV^{2}/fm]");
TGraph *gq=new TGraph(20);
Int_t i=0;
- for(Double_t v=0.05;v<=5.05;v+=0.25){
+ for(Double_t v=0.05;v<=qm+.05;v+=0.25){
TH1F *dummy=ComputeELossHisto(1,v,len,e);
Double_t avgloss=dummy->GetMean();
gq->SetPoint(i,v,avgloss);i++;
delete dummy;
}
- gq->SetMarkerStyle(20);
+ gq->SetMarkerStyle(21);
gq->Draw("pl");
- TGraph *gg=new TGraph(20);
+ Int_t points=(Int_t)qm*4;
+ TGraph *gg=new TGraph(points);
i=0;
- for(Double_t v=0.05;v<=5.05;v+=0.25){
+ for(Double_t v=0.05;v<=qm+.05;v+=0.25){
TH1F *dummy=ComputeELossHisto(2,v,len,e);
Double_t avgloss=dummy->GetMean();
gg->SetPoint(i,v,avgloss);i++;
delete dummy;
}
- gg->SetMarkerStyle(24);
+ gg->SetMarkerStyle(20);
+ gg->SetMarkerColor(2);
gg->Draw("pl");
- TGraph *gratio=new TGraph(20);
- for(Int_t i=0;i<20;i++){
+ TGraph *gratio=new TGraph(points);
+ for(Int_t i=0;i<points;i++){
Double_t x,y,x2,y2;
gg->GetPoint(i,x,y);
gq->GetPoint(i,x2,y2);
}
gratio->SetLineStyle(4);
gratio->Draw();
- TLegend *l1a = new TLegend(0.5,0.6,.95,0.8);
+ TLegend *l1a = new TLegend(0.15,0.60,0.50,0.90);
l1a->SetFillStyle(0);
l1a->SetBorderSize(0);
Char_t label[100];
sprintf(label,"L = %.1f fm",len);
l1a->AddEntry(gq,label,"");
- l1a->AddEntry(gq,"quark","pl");
- l1a->AddEntry(gg,"gluon","pl");
+ l1a->AddEntry(gq,"quark projectile","pl");
+ l1a->AddEntry(gg,"gluon projectile","pl");
l1a->AddEntry(gratio,"gluon/quark/2.25*10","pl");
l1a->Draw();
else gratio->SetPoint(i,x,0);
}
gratio->SetLineStyle(4);
- gratio->Draw();
+ //gratio->Draw();
TLegend *l1a = new TLegend(0.5,0.6,.95,0.8);
l1a->SetFillStyle(0);
l1a->AddEntry(gq,label,"");
l1a->AddEntry(gq,"quark","pl");
l1a->AddEntry(gg,"gluon","pl");
- l1a->AddEntry(gratio,"gluon/quark/2.25*10","pl");
+ //l1a->AddEntry(gratio,"gluon/quark/2.25*10","pl");
l1a->Draw();
c->Update();
Int_t AliQuenchingWeights::GetIndex(Double_t len) const
{
+ //get the index according to length
if(len>fLengthMax) len=fLengthMax;
Int_t l=Int_t(len/0.25);
- if((len-l*0.5)>0.125) l++;
+ if((len-l*0.25)>0.125) l++;
return l;
}
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff