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fitlamavg2v2.cpp
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/// evolved from fitBESData_4_1.cpp
// added centrality column in output file : DONE
// corresponding change in code to retreive centrality information from root file: DONE
// changed all functions (esp the fitting function funcBGBW) to have 6 parameters
// otherwise the cov. matrix in later functions, with 5 parameters, is not consistent
// added // h->SetMaximum(5*(h->GetMaximum()));
#include <iostream>
#include <string>
#include "TKey.h"
#include <sstream>
#include <fstream>
#include "fitBESData10.h"
#include "TGraph.h"
using namespace std;
// forward declarations for methods in fitBESData.h:
Double_t getdNdptOverptIntegrand(Double_t* rad, Double_t* par);// not used
Double_t getdNdpt(Double_t* pT, Double_t* params);
string concatenateHistoname(string,string,string,string);
Double_t* getIntegralsAndErrorsFromData(TH1D*, Double_t, Double_t);
/////Double_t* getIntegralsAndErrorsFromFit(Double_t* myPt, Double_t* par);
Double_t getdNdpt(Double_t* pT, Double_t* params);
Double_t getdETdEtaIntegrand(Double_t* myPt, Double_t* par);
Double_t getdETdyIntegrand(Double_t* myPt, Double_t* par);
Double_t getdNdEtaIntegrand(Double_t* myPt, Double_t* par);
Double_t getdNdyIntegrand(Double_t* myPt, Double_t* par);
Int_t* getNpartAndErr(Double_t collisionEnergy, string centrality);
//-------------------------HAGE
Double_t getdNdptHAGE(Double_t* pT, Double_t* params);
Double_t getdETdEtaIntegrandHAGE(Double_t* myPt, Double_t* par);
Double_t getdETdyIntegrandHAGE(Double_t* myPt, Double_t* par);
Double_t getdNdEtaIntegrandHAGE(Double_t* myPt, Double_t* par);
Double_t getdNdyIntegrandHAGE(Double_t* myPt, Double_t* par);
// main function:
int fitlamavg2v2(){
std::ofstream avg ("avgLAMResults.dat", std::ofstream::app);
TFile* myFile = new TFile("STARLAM.root");
TIter next(myFile->GetListOfKeys());
TKey* mikey;
TH1D* h;
TCanvas* c1;
TClass* class1;
TF1* funcBGBW;
TF1* funcBGBW2;
TF1* dETdEtaIntegrandFunc;
TF1* dETdyIntegrandFunc;
TF1* dNdEtaIntegrandFunc;
TF1* dNdyIntegrandFunc;
//Constrained
TF1* dETdEtaIntegrandFunc2;
TF1* dETdyIntegrandFunc2;
TF1* dNdEtaIntegrandFunc2;
TF1* dNdyIntegrandFunc2;
//hagedorn
TF1* HAGE;
TF1* dETdEtaIntegrandFuncHAGE;
TF1* dETdyIntegrandFuncHAGE;
TF1* dNdEtaIntegrandFuncHAGE;
TF1* dNdyIntegrandFuncHAGE;
int breakOutForTesting =0;
int stop =80; // breakOut after this many iterations (if achieved); default: 140
cout << "Flag" << endl;
while((mikey=(TKey*)next())){
breakOutForTesting++;
if (breakOutForTesting<35) continue;// 140 histograms already analyzed
///cout << "Histo iter: " << breakOutForTesting+1 << endl;
class1 = gROOT->GetClass(mikey->GetClassName());
if(!class1->InheritsFrom("TH1")){
delete class1;
mikey->DeleteBuffer();
continue;
}
Double_t avgET=0.0;
Double_t avgET_err=0.0;
Double_t avgN=0.0;
Double_t avgN_err=0.0;
Double_t avgNpart=0.0;
Double_t avgNpart_err=0.0;
c1 = new TCanvas();
funcBGBW = new TF1("getdNdpt",getdNdpt,0.00000000000001,10.,6); // actually has 5 parameters
funcBGBW2 = new TF1("getdNdpt2",getdNdpt,0.00000000000001,10.,6); // second blastwave for alternate starting parms
HAGE = new TF1("getdNdptHAGE",getdNdptHAGE,0.0000000000001,10.,5); // HAGEDORN Function
dETdEtaIntegrandFunc = new TF1("dETdEtaIntegrand",getdETdEtaIntegrand,0, 10, 6 );// function goes from 0 to 10
// and has 6 parameters"
// mass, beta, temp, n, norm, type
dETdyIntegrandFunc = new TF1("dETdyIntegrand", getdETdyIntegrand,0,10,6);
dNdEtaIntegrandFunc = new TF1("dETdyIntegrand",
getdNdEtaIntegrand,
0,10,6); // 5 parameters:m,b,t,n,norm, 6th is type*0
dNdyIntegrandFunc = new TF1("dETdyIntegrand",
getdNdEtaIntegrand,
0,10,6);// 5 parameters:m,b,t,n,norm, 6th is type*0
dETdEtaIntegrandFunc2 = new TF1("dETdEtaIntegrand2",
getdETdEtaIntegrand,
0, 10, 6 );// function goes from 0 to 10
// and has 6 parameters"
// mass, beta, temp, n, norm, type
dETdyIntegrandFunc2 = new TF1("dETdyIntegrand2",
getdETdyIntegrand,
0,10,6);
dNdEtaIntegrandFunc2 = new TF1("dETdyIntegrand2",
getdNdEtaIntegrand,
0,10,6); // 5 parameters:m,b,t,n,norm, 6th is type*0
dNdyIntegrandFunc2 = new TF1("dETdyIntegrand2",
getdNdEtaIntegrand,
0,10,6);//
//Function definitions for hagedorn fitting
dETdEtaIntegrandFuncHAGE = new TF1("dETdEtaIntegrandHAGE",
getdETdEtaIntegrandHAGE,
0, 10, 5 );// function goes from 0 to 10
// and has 6 parameters"
// mass, pt,
dETdyIntegrandFuncHAGE = new TF1("dETdyIntegrandHAGE",
getdETdyIntegrandHAGE,
0,10,5);
dNdEtaIntegrandFuncHAGE = new TF1("dETdyIntegrandHAGE",
getdNdEtaIntegrandHAGE,
0,10,5); // 5 parameters:m, 6th is type*0
dNdyIntegrandFuncHAGE = new TF1("dETdyIntegrandHAGE",
getdNdEtaIntegrandHAGE,
0,10,5);// 5 parameters:m, 6th is type*0
//gStyle->SetOptFit(1111);// display fit parameters; customizable
// gStyle->SetOptDate();// display date (at bottom left)
gROOT-> SetBatch(kTRUE);// save canvases without displaying them
gPad->SetLogy();
gStyle->SetOptFit(1111);// display fit parameters; customizable
gStyle->SetOptDate();
// save canvases without displaying them
c1->Update();
// read histogram object for current iteration of key:
h = (TH1D*)mikey->ReadObj();
string histoName = h->GetName();
Double_t collEn = 0.;// initialize
//cent8_ka+_Au+Au_7.7 // sample histo name
if(histoName.substr( histoName.length() - 4 ) == "_7.7") collEn = 7.7;
else if(histoName.substr( histoName.length() - 4 ) == "11.5") collEn = 11.5;
else if(histoName.substr( histoName.length() - 4 ) == "19.6") collEn = 19.6;
else if(histoName.substr( histoName.length() - 4 ) == "u_27") collEn = 27;
else if(histoName.substr( histoName.length() - 4 ) == "u_39") collEn = 39;
else if(histoName.substr( histoName.length() - 4 ) == "62.4") collEn = 62.4;
else if(histoName.substr( histoName.length() - 4 ) == "_130") collEn = 130;
else if(histoName.substr( histoName.length() - 4 ) == "_200") collEn = 200;
//get first three characters of particle name from histoName:
string particleID = histoName.substr(6,3);// starting position in array:6, 3 chars total
string centrality = histoName.substr(4,1);// starting position in array:4, 1 char total
//------------ Assign mass & type to particle -----------------//
Double_t mass; // in GeV
// type Double_t instead of Int_t
//to use as argument in TF1 method SetParameters()
Double_t type;// 0 for mesons, -1 for baryons, 1 for antibaryons
if (particleID=="pi-"||particleID=="pi+")
{mass = 0.13957; type = 0.;}
else if (particleID=="ka-"||particleID=="ka+")
{mass = 0.49368; type = 0.;}
else if (particleID=="pro")
{mass = 0.93827; type = -1.;}
else if (particleID=="pba")
{mass = 0.93827; type = 1.;}
else if (particleID=="pi0")
{mass = 0.13497; type = 0.;}
else if (particleID=="eta")
{mass = 0.54786; type = 0.;}
else if (particleID=="la_")
{mass = 1.11568; type = -1.;}
else if (particleID=="ala")
{mass = 1.11568; type = 1.;}
else {cout << "Check particle: "
<< particleID<<endl;return 1;}
Double_t* integralDataPtr;
// TODO : need to fix what function this should be:
integralDataPtr = getIntegralsAndErrorsFromData(h,type,mass);
if(histoName == "cent0_la_Au+Au_11.5"
||histoName == "cent0_la_Au+Au_200"
||histoName == "cent1_la_Au+Au_19.6"
||histoName == "cent1_la_Au+Au_27"
||histoName == "cent2_ala_Au+Au_39"
||histoName == "cent3_la_Au+Au_7.7"
||histoName == "cent5_la_Au+Au_7.7"
||histoName == "cent6_la_Au+Au_11.5"
||histoName == "cent2_la_Au+Au_200"
||histoName == "cent4_la_Au+Au_39"
||histoName == "cent4_ala_Au+Au_200"){
cout<< "altparms" <<endl;
funcBGBW->SetParameters(mass,0.95,0.05,0.1,1000000.,type);
funcBGBW->SetParNames("mass","beta (c)","temp","n","norm","type");
}
else{
cout << "histoname is: " << histoName << endl;
funcBGBW->SetParameters(mass,0.9,0.05,0.01,1000000.,type);
// funcBGBW2->SetParameters(mass,0.6,0.05,0.1,10000.,type);
}
funcBGBW->SetParNames("mass","beta (c)","temp","n","norm","type");
funcBGBW->SetParLimits(1,0.3,0.999999999999999999999);//param 1
funcBGBW->FixParameter(0,mass);// mass in GeV
funcBGBW->FixParameter(5,type);
//fixing bgbw2
funcBGBW2->SetParameters(mass,0.3,.08,.01,10000.,type);
funcBGBW2->SetParLimits(1,0.3,0.8);//beta
funcBGBW2->SetParLimits(2,.08,.2);//temp
funcBGBW2->SetParLimits(3,0.01,5);//n
funcBGBW2->SetParNames("mass","beta (c)","temp","n","norm","type");
//funcBGBW2->SetParLimits(1,0.5,0.999999999999999999999);//param 1
funcBGBW2->FixParameter(0,mass);// mass in GeV
funcBGBW2->FixParameter(5,type);
funcBGBW2->SetLineColor(kBlue);
//HAGEDORN
if(particleID=="pro"){
HAGE->SetParameters(mass,1.,1.,5.,type);
HAGE->SetParNames("mass","A","temp","n","type");
HAGE->FixParameter(0,mass);// mass in GeV
HAGE->FixParameter(4,type);
HAGE->SetLineColor(kCyan+2);
}
else{
HAGE->SetParameters(mass,1.,1.,5.,type);
HAGE->SetParNames("mass","A","temp","n","type");
HAGE->SetLineColor(kCyan);
HAGE->SetParLimits(2,50.,200.); // temp
HAGE->SetParLimits(3,5.,15.); // norm
HAGE->FixParameter(0,mass);// mass in GeV
HAGE->FixParameter(4,type);
}
//------------- Begin BGBW fit --------------------------//
//FIXME when you delete, use the "C"? option to delete all the inherited objects as well
ROOT::Math::MinimizerOptions::SetDefaultMaxFunctionCalls(20000);
TFitResultPtr r = h->Fit("getdNdpt","S","",0.00000000000001,10.);
TFitResultPtr l = h->Fit("getdNdpt2","S+","",0.00000000000001,10.);
TFitResultPtr p = h->Fit("getdNdptHAGE","S+","",0.000000000001,10.);
Double_t chi2Prob = r->Prob();
Double_t chi2prob2 = l->Prob();
Double_t chi3prob3 = p->Prob();
h->SetMaximum(5*(h->GetMaximum()));
//h-> GetYaxis()->SetRangeUser(0.,maxY);
//TMatrixDSym cov = r->GetCovarianceMatrix();
h-> GetXaxis()->SetRangeUser(0.,10.);
TString xlabel = "p_{T}";
TString ylabel = "#frac{d^{2}N}{dydp_{T}}";
h-> SetXTitle(xlabel);
h-> SetYTitle(ylabel);
Double_t beta2 = funcBGBW2->GetParameter(1);
Double_t temp2 = funcBGBW2->GetParameter(2);
Double_t n2 = funcBGBW2->GetParameter(3);
Double_t norm2 = funcBGBW2->GetParameter(4);
Double_t betaErr2 = funcBGBW2->GetParError(1);
Double_t tempErr2 = funcBGBW2->GetParError(2);
Double_t nErr2 = funcBGBW2->GetParError(3);
Double_t normErr2 = funcBGBW2->GetParError(4);
Double_t beta = funcBGBW->GetParameter(1);
Double_t temp = funcBGBW->GetParameter(2);
Double_t n = funcBGBW->GetParameter(3);
Double_t norm = funcBGBW->GetParameter(4);
Double_t betaErr = funcBGBW->GetParError(1);
Double_t tempErr = funcBGBW->GetParError(2);
Double_t nErr = funcBGBW->GetParError(3);
Double_t normErr = funcBGBW->GetParError(4);
//------------- end BGBW fit ----------------------------
//-------------hagedorn varibles-------------------------
Double_t A = HAGE->GetParameter(1);
Double_t tempH = HAGE->GetParameter(2);
Double_t nH = HAGE->GetParameter(3);
Double_t AErr = HAGE->GetParError(1);
Double_t tempHErr = HAGE->GetParError(2);
Double_t nHErr = HAGE->GetParError(3);
//------------------------------------expoparms-----------
//-------- Find integrals left and right of data points -------//
funcBGBW -> SetParameters(mass,beta,temp,n,norm,type);
dETdEtaIntegrandFunc -> SetParameters(mass,beta,temp,n,norm,type);
dETdEtaIntegrandFunc -> FixParameter(5,type);
dETdEtaIntegrandFunc -> FixParameter(0,mass);
dETdyIntegrandFunc -> SetParameters(mass,beta,temp,n,norm,type);
dETdyIntegrandFunc -> FixParameter(5,type);
dETdyIntegrandFunc -> FixParameter(0,mass);
dNdEtaIntegrandFunc -> SetParameters(mass,beta,temp,n,norm,type);
dNdEtaIntegrandFunc -> FixParameter(0,mass);
dNdEtaIntegrandFunc -> FixParameter(5,type);
dNdyIntegrandFunc -> SetParameters(mass,beta,temp,n,norm,type);
dNdyIntegrandFunc -> FixParameter(0,mass);
dNdyIntegrandFunc -> FixParameter(5,type);
Int_t totBins = h->GetNbinsX();
Int_t binx1 = 0;
Int_t binx2 = totBins+1;
Double_t leftCut = h->GetXaxis()->GetBinLowEdge(binx1+2);
Double_t rightCut = h->GetXaxis()->GetBinUpEdge(binx2-1);
Double_t dETdEtaLeft = dETdEtaIntegrandFunc -> Integral(0.,leftCut);
Double_t dETdEtaRight = dETdEtaIntegrandFunc -> Integral(rightCut,10.);
Double_t dETdyLeft = dETdyIntegrandFunc -> Integral(0.,leftCut);
Double_t dETdyRight = dETdyIntegrandFunc -> Integral(rightCut,10.);
Double_t dNdEtaLeft = dNdEtaIntegrandFunc -> Integral(0.,leftCut);
Double_t dNdEtaRight = dNdEtaIntegrandFunc -> Integral(rightCut,10.);
Double_t dNdyLeft = dNdyIntegrandFunc -> Integral(0.,leftCut);
Double_t dNdyRight = dNdyIntegrandFunc -> Integral(rightCut,10.);
// Errors:
Double_t dETdEtaLErr =
dETdEtaIntegrandFunc->IntegralError(0.,leftCut,
r->GetParams(),
r->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdEtaRErr =
dETdEtaIntegrandFunc->IntegralError(rightCut,10.,
r->GetParams(),
r->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdyLErr =
dETdyIntegrandFunc->IntegralError(0.,leftCut,
r->GetParams(),
r->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdyRErr =
dETdyIntegrandFunc->IntegralError(rightCut,10.,
r->GetParams(),
r->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdEtaLErr =
dNdEtaIntegrandFunc->IntegralError(0.,leftCut,
r->GetParams(),
r->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdEtaRErr =
dETdEtaIntegrandFunc->IntegralError(rightCut,10.,
r->GetParams(),
r->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdyLErr =
dNdyIntegrandFunc->IntegralError(0.,leftCut,
r->GetParams(),
r->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdyRErr =
dNdyIntegrandFunc->IntegralError(rightCut,10.,
r->GetParams(),
r->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdEta_d = *(integralDataPtr+0);
Double_t dETdEta_d_err = *(integralDataPtr+1);
Double_t dETdEtaTotal = dETdEtaLeft+dETdEta_d+dETdEtaRight;
Double_t dETdEtaTErr = dETdEtaLErr+dETdEta_d_err+dETdEtaRErr;
Double_t dETdy_d = *(integralDataPtr+2);
Double_t dETdy_d_err = *(integralDataPtr+3);
Double_t dETdyTotal = dETdyLeft+dETdy_d+dETdyRight;
Double_t dETdyTErr = dETdyLErr+dETdy_d_err+dETdyRErr;
Double_t dNdEta_d = *(integralDataPtr+4);
Double_t dNdEta_d_err = *(integralDataPtr+5);
Double_t dNdEtaTotal = dNdEtaLeft+dNdEta_d+dNdEtaRight;
Double_t dNdEtaTErr = dNdEtaLErr+dNdEta_d_err+dNdEtaRErr;
Double_t dNdy_d = *(integralDataPtr+6);
Double_t dNdy_d_err = *(integralDataPtr+7);
Double_t dNdyTotal = dNdyLeft+dNdy_d+dNdyRight;
Double_t dNdyTErr = dNdyLErr+dNdy_d_err+dNdyRErr;
//------ end Find integrals left and right of data points ----//
//------ begin - assign Npart and errors from BES paper -----//
Int_t* NpartAndArrPtr;
Int_t Npart;
Int_t NpartErr;
//------ end - assign Npart and errors from BES paper -------//
//-- Output results to file-----------------------------
if(collEn == 200||collEn == 130){
if(centrality == "4"){
NpartAndArrPtr = getNpartAndErr(collEn,centrality); // 40-50%
Npart = *(NpartAndArrPtr+0);
NpartAndArrPtr = getNpartAndErr(collEn,"5");
Npart +=*(NpartAndArrPtr+0);
NpartAndArrPtr = getNpartAndErr(collEn,"6");
Npart +=*(NpartAndArrPtr+0);
NpartAndArrPtr = getNpartAndErr(collEn,"7"); // 60-70%
Npart += *(NpartAndArrPtr+0);
NpartAndArrPtr = getNpartAndErr(collEn,"8"); // 70-80%
Npart += *(NpartAndArrPtr+0); // added the two, next average:
Double_t tempAvg = Npart/5.;
Npart = ceil(tempAvg); // FIXME rounded down
// for a conservative estimate, take the bigger error between the two (50-60%):
NpartErr = *(NpartAndArrPtr+0);
}
else{
NpartAndArrPtr = getNpartAndErr(collEn,centrality);
Npart = *(NpartAndArrPtr+0);
NpartErr = *(NpartAndArrPtr+1);
}
}
else if(collEn == 7.7||collEn == 11.5||collEn == 19.6 || collEn == 27 || collEn ==39){
if(centrality == "5") // which should be 40-60% for lambdas
{
NpartAndArrPtr = getNpartAndErr(collEn,centrality); // 40-50%
Npart = *(NpartAndArrPtr+0);
NpartAndArrPtr = getNpartAndErr(collEn,"6"); // 50-60%
Npart += *(NpartAndArrPtr+0); // added the two, next average:
Double_t tempAvg = Npart/2.;
Npart = ceil(tempAvg); // FIXME rounded down
// for a conservative estimate, take the bigger error between the two (50-60%):
NpartErr = *(NpartAndArrPtr+0);
}
else if(centrality == "6") // which should be 60-80% for lambdas
{
NpartAndArrPtr = getNpartAndErr(collEn,"7"); // 60-70%
Npart = *(NpartAndArrPtr+0);
NpartAndArrPtr = getNpartAndErr(collEn,"8"); // 70-80%
Npart += *(NpartAndArrPtr+0); // added the two, next average:
Double_t tempAvg = Npart/2.;
Npart = ceil(tempAvg); // FIXME rounded down
// for a conservative estimate, take the bigger error between the two (50-60%):
NpartErr = *(NpartAndArrPtr+0);
}
else{
NpartAndArrPtr = getNpartAndErr(collEn,centrality);
Npart = *(NpartAndArrPtr+0);
NpartErr = *(NpartAndArrPtr+1);
}
}
Double_t chi2BGBW = funcBGBW->GetChisquare();
Double_t nDFBGBW = funcBGBW->GetNDF();
Double_t p2 = funcBGBW->GetParameter(2);
Double_t e2 = funcBGBW->GetParError(2);
funcBGBW2 -> SetParameters(mass,beta2,temp2,n2,norm2,type);
dETdEtaIntegrandFunc2 -> SetParameters(mass,beta2,temp2,n2,norm2,type);
dETdEtaIntegrandFunc2 -> FixParameter(5,type);
dETdEtaIntegrandFunc2 -> FixParameter(0,mass);
dETdyIntegrandFunc2 -> SetParameters(mass,beta2,temp2,n2,norm2,type);
dETdyIntegrandFunc2 -> FixParameter(5,type);
dETdyIntegrandFunc2 -> FixParameter(0,mass);
dNdEtaIntegrandFunc2 -> SetParameters(mass,beta2,temp2,n2,norm2,type);
dNdEtaIntegrandFunc2 -> FixParameter(0,mass);
dNdEtaIntegrandFunc2 -> FixParameter(5,type);
dNdyIntegrandFunc2 -> SetParameters(mass,beta2,temp2,n2,norm2,type);
dNdyIntegrandFunc2 -> FixParameter(0,mass);
dNdyIntegrandFunc2 -> FixParameter(5,type);
Int_t totBins2 = h->GetNbinsX();
Int_t binx12 = 0;
Int_t binx22 = totBins+1;
Double_t leftCut2 = h->GetXaxis()->GetBinLowEdge(binx12+2);
Double_t rightCut2 = h->GetXaxis()->GetBinUpEdge(binx22-1);
Double_t dETdEtaLeft2 = dETdEtaIntegrandFunc2 -> Integral(0.,leftCut2);
Double_t dETdEtaRight2 = dETdEtaIntegrandFunc2 -> Integral(rightCut2,10.);
Double_t dETdyLeft2 = dETdyIntegrandFunc2 -> Integral(0.,leftCut2);
Double_t dETdyRight2 = dETdyIntegrandFunc2 -> Integral(rightCut2,10.);
Double_t dNdEtaLeft2 = dNdEtaIntegrandFunc2 -> Integral(0.,leftCut2);
Double_t dNdEtaRight2 = dNdEtaIntegrandFunc2 -> Integral(rightCut2,10.);
Double_t dNdyLeft2 = dNdyIntegrandFunc2 -> Integral(0.,leftCut2);
Double_t dNdyRight2 = dNdyIntegrandFunc2 -> Integral(rightCut2,10.);
// Errors:
Double_t dETdEtaLErr2 =
dETdEtaIntegrandFunc2->IntegralError(0.,leftCut2,
l->GetParams(),
l->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdEtaRErr2 =
dETdEtaIntegrandFunc2->IntegralError(rightCut2,10.,
l->GetParams(),
l->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdyLErr2 =
dETdyIntegrandFunc2->IntegralError(0.,leftCut2,
l->GetParams(),
l->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdyRErr2 =
dETdyIntegrandFunc2->IntegralError(rightCut2,10.,
l->GetParams(),
l->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdEtaLErr2 =
dNdEtaIntegrandFunc2->IntegralError(0.,leftCut2,
l->GetParams(),
l->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdEtaRErr2 =
dETdEtaIntegrandFunc2->IntegralError(rightCut2,10.,
l->GetParams(),
l->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdyLErr2 =
dNdyIntegrandFunc2->IntegralError(0.,leftCut2,
l->GetParams(),
l->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdyRErr2 =
dNdyIntegrandFunc2->IntegralError(rightCut2,10.,
l->GetParams(),
l->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdEta_d2 = *(integralDataPtr+0);
Double_t dETdEta_d_err2 = *(integralDataPtr+1);
Double_t dETdEtaTotal2 = dETdEtaLeft2+dETdEta_d2+dETdEtaRight2;
Double_t dETdEtaTErr2 = dETdEtaLErr2+dETdEta_d_err2+dETdEtaRErr2;
Double_t dETdy_d2 = *(integralDataPtr+2);
Double_t dETdy_d_err2 = *(integralDataPtr+3);
Double_t dETdyTotal2 = dETdyLeft2+dETdy_d2+dETdyRight2;
Double_t dETdyTErr2 = dETdyLErr2+dETdy_d_err2+dETdyRErr2;
Double_t dNdEta_d2 = *(integralDataPtr+4);
Double_t dNdEta_d_err2 = *(integralDataPtr+5);
Double_t dNdEtaTotal2 = dNdEtaLeft2+dNdEta_d2+dNdEtaRight2;
Double_t dNdEtaTErr2 = dNdEtaLErr2+dNdEta_d_err2+dNdEtaRErr2;
Double_t dNdy_d2 = *(integralDataPtr+6);
Double_t dNdy_d_err2 = *(integralDataPtr+7);
Double_t dNdyTotal2 = dNdyLeft2+dNdy_d2+dNdyRight2;
Double_t dNdyTErr2 = dNdyLErr2+dNdy_d_err2+dNdyRErr2;
cout <<"Integral from data for histo "<<breakOutForTesting+1<<": "<<*(integralDataPtr+0)<<endl;// 357.633 for pi minus cent 0
cout<<"-----------------------------------"<<endl;
//------ end Find integrals left and right of data points ----//
//------ begin - assign Npart and errors from BES paper -----//
Int_t* NpartAndArrPtr2;
Int_t Npart2;
Int_t NpartErr2;
// for lambdas, last four centrality classes are binned into two:
Double_t chi2BGBW2 = funcBGBW2->GetChisquare();
Double_t nDFBGBW2 = funcBGBW2->GetNDF();
Double_t p22 = funcBGBW2->GetParameter(2);
Double_t e22 = funcBGBW2->GetParError(2);
HAGE -> SetParameters(mass,A,tempH,nH,type);
dETdEtaIntegrandFuncHAGE -> SetParameters(mass,A,tempH,nH,type);
dETdEtaIntegrandFuncHAGE -> FixParameter(4,type);
dETdEtaIntegrandFuncHAGE -> FixParameter(0,mass);
dETdyIntegrandFuncHAGE -> SetParameters(mass,A,tempH,nH,type);
dETdyIntegrandFuncHAGE -> FixParameter(4,type);
dETdyIntegrandFuncHAGE -> FixParameter(0,mass);
dNdEtaIntegrandFuncHAGE -> SetParameters(mass,A,tempH,nH,type);
dNdEtaIntegrandFuncHAGE -> FixParameter(0,mass);
dNdEtaIntegrandFuncHAGE -> FixParameter(4,type);
dNdyIntegrandFuncHAGE -> SetParameters(mass,A,tempH,nH,type);
dNdyIntegrandFuncHAGE -> FixParameter(0,mass);
dNdyIntegrandFuncHAGE -> FixParameter(4,type);
Int_t totBinsH = h->GetNbinsX();
Int_t binx1H = 0;
Int_t binx2H = totBins+1;
Double_t leftCutH = h->GetXaxis()->GetBinLowEdge(binx1H+2);
Double_t rightCutH = h->GetXaxis()->GetBinUpEdge(binx2H-1);
Double_t dETdEtaLeftH = dETdEtaIntegrandFuncHAGE -> Integral(0.,leftCutH);
Double_t dETdEtaRightH = dETdEtaIntegrandFuncHAGE -> Integral(rightCutH,10.);
Double_t dETdyLeftH = dETdyIntegrandFuncHAGE -> Integral(0.,leftCutH);
Double_t dETdyRightH = dETdyIntegrandFuncHAGE -> Integral(rightCutH,10.);
Double_t dNdEtaLeftH = dNdEtaIntegrandFuncHAGE -> Integral(0.,leftCutH);
Double_t dNdEtaRightH = dNdEtaIntegrandFuncHAGE -> Integral(rightCutH,10.);
Double_t dNdyLeftH = dNdyIntegrandFuncHAGE -> Integral(0.,leftCutH);
Double_t dNdyRightH = dNdyIntegrandFuncHAGE -> Integral(rightCutH,10.);
// Errors:
Double_t dETdEtaLErrH =
dETdEtaIntegrandFuncHAGE->IntegralError(0.,leftCutH,
p->GetParams(),
p->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdEtaRErrH =
dETdEtaIntegrandFuncHAGE->IntegralError(rightCutH,10.,
p->GetParams(),
p->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdyLErrH =
dETdyIntegrandFuncHAGE->IntegralError(0.,leftCutH,
p->GetParams(),
p->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdyRErrH =
dETdyIntegrandFuncHAGE->IntegralError(rightCutH,10.,
p->GetParams(),
p->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdEtaLErrH =
dNdEtaIntegrandFuncHAGE->IntegralError(0.,leftCutH,
p->GetParams(),
p->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdEtaRErrH =
dETdEtaIntegrandFuncHAGE->IntegralError(rightCutH,10.,
p->GetParams(),
p->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdyLErrH =
dNdyIntegrandFuncHAGE->IntegralError(0.,leftCutH,
p->GetParams(),
p->GetCovarianceMatrix().GetMatrixArray());
Double_t dNdyRErrH =
dNdyIntegrandFuncHAGE->IntegralError(rightCutH,10.,
p->GetParams(),
p->GetCovarianceMatrix().GetMatrixArray());
Double_t dETdEta_dH = *(integralDataPtr+0);
Double_t dETdEta_d_errH = *(integralDataPtr+1);
Double_t dETdEtaTotalH = dETdEtaLeftH+dETdEta_dH+dETdEtaRightH;
Double_t dETdEtaTErrH = dETdEtaLErrH+dETdEta_d_errH+dETdEtaRErrH;
Double_t dETdy_dH = *(integralDataPtr+2);
Double_t dETdy_d_errH = *(integralDataPtr+3);
Double_t dETdyTotalH = dETdyLeftH+dETdy_dH+dETdyRightH;
Double_t dETdyTErrH = dETdyLErrH+dETdy_d_errH+dETdyRErrH;
Double_t dNdEta_dH = *(integralDataPtr+4);
Double_t dNdEta_d_errH = *(integralDataPtr+5);
Double_t dNdEtaTotalH = dNdEtaLeftH+dNdEta_dH+dNdEtaRightH;
Double_t dNdEtaTErrH = dNdEtaLErrH+dNdEta_d_errH+dNdEtaRErrH;
Double_t dNdy_dH = *(integralDataPtr+6);
Double_t dNdy_d_errH = *(integralDataPtr+7);
Double_t dNdyTotalH = dNdyLeftH+dNdy_dH+dNdyRightH;
Double_t dNdyTErrH = dNdyLErrH+dNdy_d_errH+dNdyRErrH;
Int_t* NpartAndArrPtrH;
Int_t NpartH;
Int_t NpartErrH;
// for lambdas, last four centrality classes are binned into two:
Double_t chi2BGBWH = HAGE->GetChisquare();
Double_t nDFBGBW2H = HAGE->GetNDF();
Double_t p2H = HAGE->GetParameter(2);
Double_t e2H = HAGE->GetParError(2);
// Double_t per1 = 0;
// Double_t per2 = 0;
// Double_t per3 = 0;
// per1 = Abs(((dETdEtaTotal-dETdEtaTotal2)/dETdEtaTotal)*100);
// per2 = Abs(((dETdEtaTotal-dETdEtaTotalH)/dETdEtaTotal)*100);
// per3 = Abs(((dETdEtaTotal2-dETdEtaTotalH)/dETdEtaTotalH)*100);
// if(per1 >= 10){
// avgET=(dETdEtaTotal2+dETdEtaTotal+dETdEtaTotalH)/3.0;
// avgET_err=(dETdEtaTErrH+dETdEtaTErr+dETdEtaTErr2)/3.0;
// avgN=((dETdEtaTotalH-dETdEta_dH)+(dETdEtaTotal2-dETdEta_d2)+(dETdEtaTotal-dETdEta_d))/3.0;
// avg_err=(dETdyLErrH+dETdyRErrH+dETdyRErr+dETdyLErr+dETdyLErr2+dETdyRErr2)/6.0;
// avgNpart=(NpartH+Npart+Npart2)/3.0;;
// avgNpart_err=(NpartErr+NpartErr2+NpartErrH)/3.0;
// }
// else if(per2 >=10){
// }
// else if(per3 >= 10){
// }
// else{
TString hisst = h->GetName();
// c1->cd();
// gPad->SetLogy();
c1->Update();
c1->cd();
Double_t yloc = funcBGBW->GetHistogram()->GetMaximum();
yloc = yloc/10.0;
TF1* hj = new TF1();
hj =dETdyIntegrandFunc ;
hj->DrawCopy();
hj->Draw();
hj->GetHistogram()->GetXaxis()->SetRangeUser(0.,3.);
hj->GetHistogram()->GetYaxis()->SetRangeUser(0.,(11.0*yloc));
hj->GetHistogram()->SetXTitle(xlabel);
hj->GetHistogram()->SetYTitle(ylabel);
hj->SetTitle(hisst);
hj->SetLineColor(kWhite);
h->Draw("same");
h->GetXaxis()->SetRangeUser(0.,10.);
c1->Update();
avgET=(dETdEtaTotal2+dETdEtaTotal+dETdEtaTotalH)/3.0;
avgET_err=(dETdEtaTErrH+dETdEtaTErr+dETdEtaTErr2)/3.0;
avgN=(dNdEtaTotalH+dNdEtaTotal2 +dNdEtaTotal)/3.0;
avgN_err=(dNdEtaTErrH+dNdEtaTErr2 +dNdEtaTErr)/3.0;
avgNpart=Npart;
avgNpart_err=NpartErr;
avg <<collEn << "\t"
<< particleID << "\t"
<< centrality << "\t"
<< avgET << "\t"
<< avgET_err << "\t"
<< avgN << "\t"
<< avgN_err << "\t"
<< avgNpart << "\t"
<< avgNpart_err << "\n";
string imgPathAndName = "./fittedPlots56/"+histoName+".png";
//c1 -> SaveAs("./fittedPlots/trial1.png");
TImage *png = TImage::Create();// FIXME try to use canvas method instead of png object
png->FromPad(c1);
const char* imgPathAndNameConstCharPtr = imgPathAndName.c_str();
png->WriteImage(imgPathAndNameConstCharPtr);
mikey->DeleteBuffer();// works!
if(breakOutForTesting>=stop) break;
gSystem->ProcessEvents();
delete h;
delete funcBGBW;
delete dETdEtaIntegrandFunc;
delete dETdyIntegrandFunc;
delete funcBGBW2;
delete dETdEtaIntegrandFunc2;
delete dETdyIntegrandFunc2;
delete HAGE;
delete dETdEtaIntegrandFuncHAGE;
delete dETdyIntegrandFuncHAGE;
delete c1;
}
gObjectTable->Print();
delete myFile;
avg.close();
return 0;
}