[u/mrichter/AliRoot.git] / PWG2 / EBYE / LRC / AliLRCAnalysis.cxx

/**************************************************************************
 * Author: Panos Christakoglou.                                           *
 * Contributors are mentioned in the code where appropriate.              *
 *                                                                        *
 * Permission to use, copy, modify and distribute this software and its   *
 * documentation strictly for non-commercial purposes is hereby granted   *
 * without fee, provided that the above copyright notice appears in all   *
 * copies and that both the copyright notice and this permission notice   *
 * appear in the supporting documentation. The authors make no claims     *
 * about the suitability of this software for any purpose. It is          *
 * provided "as is" without express or implied warranty.                  *
 **************************************************************************/
//-------------------------------------------------------------------------
//    Description: 
//    This class include into LRC library for Long-Range Correlation analysis
//    it is base class for NN, PtN, PtPt
//    implements base methods for thees classes
//    Origin: Petr Naumenko, SPbSU-CERN, Petr.Naoumenko@cern.ch
//-------------------------------------------------------------------------

/* $Id$ */

//-------------------------------------------------------------------------
//         LRC library for Long-Range Correlation analysis
//
//    Origin: Petr Naumenko, SPbSU-CERN, Petr.Naoumenko@cern.ch
//-------------------------------------------------------------------------

#include "AliLRCAnalysis.h"

ClassImp(AliLRCAnalysis) 

/******************************************************
 * AliLRCAnalysis class
 ******************************************************/

AliLRCAnalysis::AliLRCAnalysis(): fPrAbs(new TH1D()), fPrRel(new TH1D()), fPrf(new TH1D()), fPrb(new TH1D()), fileHist(new TFile()), fdptb(.0), fEntries(0), fSx((char*)" "), fSy((char*)" "){
//Empty constructor
}

AliLRCAnalysis::AliLRCAnalysis(const AliLRCAnalysis& a):fPrAbs(a.fPrAbs), fPrRel(a.fPrRel), fPrf(a.fPrf), fPrb(a.fPrb), fileHist(a.fileHist), fdptb(a.fdptb), fEntries(a.fEntries), fSx(a.fSx), fSy(a.fSy){
//Constructor
}

AliLRCAnalysis& AliLRCAnalysis::operator= (const AliLRCAnalysis& a){
//Operator =
	if(this!=&a){
		fPrAbs = a.fPrAbs;
		fPrRel = a.fPrRel;
		fPrf = a.fPrf;
		fPrb = a.fPrb;
		fileHist = a.fileHist;
		fSx = a.fSx;
		fSy = a.fSy;
		fdptb = a.fdptb;
		fEntries = a.fEntries;
	}
	return *this;
}


AliLRCAnalysis::~AliLRCAnalysis() {
//Destructor
    delete fPrAbs;
    delete fPrRel;
    delete fileHist;
}

double AliLRCAnalysis::HI2(TH1D *h, double a, double b, double xmin, double xmax) const {
//hi square calculation of approximation 1d hist with ax+b between xmin and xmax
    double trueN = 0;
    double fhi2=0;
    double num;
    double fN=h->GetNbinsX();
    double f = h->GetXaxis()->GetXmin();
    double fdf = (h->GetXaxis()->GetXmax()-f)/fN;
    int fNmin = int((xmin-f)/fdf)+1;
    int fNmax = int((xmax-f)/fdf)+1;
    for(int i=fNmin; i<=fNmax; i++) {
        double fw = h->GetBinError(i);
        if(fw!=0){
            num = b*(i*fdf-fdf/2+f)+a-h->GetBinContent(i);
            fhi2 = fhi2 + (num*num) / (fw*fw);
            trueN++;
        }
    }
    return fhi2/(trueN-2);
}

double AliLRCAnalysis::HI2(TH1D *h, double a, double b) const {
//hi square calculation of approximation 1d hist with ax+b
    double trueN = 0;
    double fhi2=0;
    double num;
    int fN=h->GetNbinsX();
    double f = h->GetXaxis()->GetXmin();
    double fdf = (h->GetXaxis()->GetXmax()-f)/fN;
    int fNmin = 1;
    int fNmax = fN;
    for(int i=fNmin; i<=fNmax; i++) {
        double fw = h->GetBinError(i);
        if(fw!=0){
            num = b*(i*fdf-fdf/2+f)+a-h->GetBinContent(i);
            fhi2 = fhi2 + (num*num) / (fw*fw);
            trueN++;
        }
    }
    return fhi2/(trueN-2);
}


void AliLRCAnalysis::CreateHist(char *name, char *nameAbs, char *nameRel, char *atitleF, char *atitleB, char *rtitleF, char *rtitleB, TH2D* sourceHist) {
//Create absolute and relation var histogramm
    TProfile* profX = (TProfile*) sourceHist->ProfileX(name, 1, sourceHist->GetNbinsY());
    fEntries = (int) sourceHist->GetEntries();
    fPrAbs = new TH1D(nameAbs, profX->GetTitle(), profX->GetXaxis()->GetNbins(), profX->GetXaxis()->GetXmin(), profX->GetXaxis()->GetXmax());
    fPrAbs->SetOption("E");
    fPrRel = new TH1D(nameRel, profX->GetTitle(), profX->GetXaxis()->GetNbins(), profX->GetXaxis()->GetXmin()/sourceHist->ProjectionX()->GetMean(), profX->GetXaxis()->GetXmax()/sourceHist->ProjectionX()->GetMean());
    fPrRel->SetOption("E");
    fPrAbs->GetXaxis()->SetTitle(atitleF);
    fPrAbs->GetYaxis()->SetTitle(atitleB);
    fPrRel->GetXaxis()->SetTitle(rtitleF);
    fPrRel->GetYaxis()->SetTitle(rtitleB);
    fPrf = (TH1D*) sourceHist->ProjectionX();
    fPrb = (TH1D*) sourceHist->ProjectionY();
    fPrf->GetXaxis()->SetTitle(atitleF);
    fPrf->GetYaxis()->SetTitle("Tracks");
    fPrb->GetXaxis()->SetTitle(atitleB);
    fPrb->GetYaxis()->SetTitle("Tracks");
    fSx = atitleF;
    fSy = atitleB;
}

void AliLRCAnalysis::DrawAbs() {
// Draw abs var histrogramm
    double mnf;
    double y1, y2, x1, x2;
    Int_t i, n;
    char str[50];
    mnf = fPrf->GetMean();
    fPrAbs->SetStats(0);
    fPrAbs->Fit("pol1", "", "", mnf-2*sqrt(mnf), mnf+2*sqrt(mnf));
    //fPrAbs->Fit("pol1");
    TF1 *fit1 = fPrAbs->GetFunction("pol1");
    y1=fPrAbs->GetBinContent(1)-fPrAbs->GetBinError(1);
    y2=fPrAbs->GetBinContent(1)+fPrAbs->GetBinError(1);
    
    n=fPrAbs->GetNbinsX();
    for(i=2; i<=n; i++){
        if(fPrAbs->GetBinContent(i)-fPrAbs->GetBinError(i)<y1)
            y1=fPrAbs->GetBinContent(i)-fPrAbs->GetBinError(i);
        if(fPrAbs->GetBinContent(i)+fPrAbs->GetBinError(i)>y2)
            y2=fPrAbs->GetBinContent(i)+fPrAbs->GetBinError(i);
    }
    x1 = fPrAbs->GetXaxis()->GetXmin();
    x2 = fPrAbs->GetXaxis()->GetXmax();
    TPaveText *pt1 = new TPaveText(x1+(x2-x1)/4, y1+(y2-y1)/2, x2-(x2-x1)/4, y2);
    pt1->SetTextSize(0.03);
    
    sprintf(str, "Entries = %i", fEntries);
    pt1->AddText(str);
    sprintf(str, "a = %f #pm %f", fit1->GetParameter(0), fit1->GetParError(0));
    pt1->AddText(str);
    sprintf(str, "b = %f #pm %f", fit1->GetParameter(1), fit1->GetParError(1));
    pt1->AddText(str);
    sprintf(str, "#hat{#chi}^{2} = #chi^{2}/(n-2) = %f", HI2(fPrAbs, fit1->GetParameter(0), fit1->GetParameter(1), mnf-2*sqrt(mnf), mnf+2*sqrt(mnf)));
    pt1->AddText(str);
    sprintf(str, "<%s> = %f " , fSx, fPrf->GetMean());
    pt1->AddText(str);
    sprintf(str, "<%s> = %f", fSy,  fPrb->GetMean());
    pt1->AddText(str);
    
    sprintf(str, "<<%s>> = %f " , fSx, fPrf->GetRMS());
    pt1->AddText(str);
    sprintf(str, "<<%s>> = %f", fSy,  fPrb->GetRMS());
    pt1->AddText(str);
    if(fdptb){
        sprintf(str, "d%s = %f", fSy,  fdptb);
        pt1->AddText(str);
    }
    
    
    pt1->SetTextAlign(12);
    pt1->SetTextFont(42);
    pt1->SetFillColor(0);
    
    pt1->Draw();
}

void AliLRCAnalysis::DrawRel() {
// Draw rel var histogramm
double mnf;
double y1, y2, x1, x2;
Int_t i, n;
char str[50];
	
mnf = fPrf->GetMean();  
	
fPrRel->SetStats(0);
AliLRCFit *fit1 = new AliLRCFit(fPrRel,1-2/sqrt(mnf), 1+2/sqrt(mnf));
TF1 *f1 = new TF1("f1", "[0] + [1]*x", 0, fPrRel->GetXaxis()->GetXmax());
f1->SetParameter(0,fit1->Geta());
f1->SetParameter(1,fit1->Getb());
fPrRel->Fit("f1", "", "", 1-2/sqrt(mnf), 1+2/sqrt(mnf));
    y1=fPrRel->GetBinContent(1)-fPrRel->GetBinError(1);
    y2=fPrRel->GetBinContent(1)+fPrRel->GetBinError(1);
    n=fPrRel->GetNbinsX();
    for(i=2; i<=n; i++) {
        if(fPrRel->GetBinContent(i)-fPrRel->GetBinError(i)<y1)
            y1=fPrRel->GetBinContent(i)-fPrRel->GetBinError(i);
        if(fPrRel->GetBinContent(i)+fPrRel->GetBinError(i)>y2)
            y2=fPrRel->GetBinContent(i)+fPrRel->GetBinError(i);
    }
    x1 = fPrRel->GetXaxis()->GetXmin();
    x2 = fPrRel->GetXaxis()->GetXmax();
    TPaveText *pt1 = new TPaveText(x1+(x2-x1)/4, y1+(y2-y1)/2, x2-(x2-x1)/4, y2);
    pt1->SetTextSize(0.03);
   sprintf(str, "Entries = %i", fEntries);
   pt1->AddText(str);
    sprintf(str, "a = %f #pm %f", fit1->Geta(), fit1->Getda());
    pt1->AddText(str);
    sprintf(str, "b = %f #pm %f", fit1->Getb(), fit1->Getdb());
    pt1->AddText(str);
    sprintf(str, "#hat{#chi}^{2} = #chi^{2}/(n-2) = %f", fit1->Gethi2());
    pt1->AddText(str);
    sprintf(str, "<%s> = %f " , fSx, fPrf->GetMean());
    pt1->AddText(str);
    sprintf(str, "<%s> = %f", fSy, fPrb->GetMean());
    pt1->AddText(str);
    sprintf(str, "<<%s>> = %f " , fSx, fPrf->GetRMS());
    pt1->AddText(str);
    sprintf(str, "<<%s>> = %f", fSy, fPrb->GetRMS());
    pt1->AddText(str);
    if(fdptb){
        sprintf(str, "d%s = %f", fSy,  fdptb);
        pt1->AddText(str);
    }
    pt1->SetTextAlign(12);
    pt1->SetTextFont(42);
    pt1->SetFillColor(0);
    pt1->Draw();
}

void AliLRCAnalysis::SetGraphics() const {
// Set root graph style
    gStyle->SetCanvasColor(10);
    gStyle->SetFrameFillColor(10);
    gStyle->SetStatColor(0);
    gStyle->SetPadColor(0);
}

double AliLRCAnalysis::Integral(TH2D* source, Int_t nbin) const {
// calculate the integrall for x bin and y bins of 2d histogramm
    double sum = 0;
    for(Int_t i = 1; i<=source->GetNbinsY(); i++) {
        sum += source->GetYaxis()->GetBinCenter(i)*source->GetBinContent(nbin, i);
    }
    return sum;
}

void AliLRCAnalysis::SetErrors(TH2D* source, const char *name){
// Calculate errors for NN
	TProfile* profX = (TProfile*) source->ProfileX(name, 1, source->GetNbinsY());
	for(int i = 0; i < profX->GetNbinsX(); i++)		
	{
		fPrAbs->SetBinContent(i, profX->GetBinContent(i));
		if(fPrf->GetBinContent(i)!=0)
		{
		   fPrAbs->SetBinError(i,sqrt(profX->GetBinContent(i)/fPrf->GetBinContent(i)));
		}
		fPrRel->SetBinContent(i, fPrAbs->GetBinContent(i)/fPrb->GetMean());
		fPrRel->SetBinError(i,fPrAbs->GetBinError(i)/fPrb->GetMean());	
	}	
}

void AliLRCAnalysis::SetErrors(TH2D* source, const char *name, double ptd, TH2D* nb){
//Calculate arrors for ptn and ptpt
	TProfile* profX = (TProfile*) source->ProfileX(name, 1, source->GetNbinsY());
	fdptb = ptd;
	double pt;
	for(int i = 0; i < profX->GetNbinsX(); i++)		
	{
		fPrAbs->SetBinContent(i, profX->GetBinContent(i));
		if(fPrf->GetBinContent(i)!=0)
		{
			  pt = profX->GetBinContent(i);
			  fPrAbs->SetBinError(i,ptd*sqrt(Integral(nb,i))/fPrf->GetBinContent(i));
		}
		fPrRel->SetBinContent(i, fPrAbs->GetBinContent(i)/fPrb->GetMean());
		fPrRel->SetBinError(i,fPrAbs->GetBinError(i)/fPrb->GetMean());	
	}	

}
Commit	Line	Data
d03e5de4	1	/**************************************************************************
	2	* Author: Panos Christakoglou. *
	3	* Contributors are mentioned in the code where appropriate. *
	4	* *
	5	* Permission to use, copy, modify and distribute this software and its *
	6	* documentation strictly for non-commercial purposes is hereby granted *
	7	* without fee, provided that the above copyright notice appears in all *
	8	* copies and that both the copyright notice and this permission notice *
	9	* appear in the supporting documentation. The authors make no claims *
	10	* about the suitability of this software for any purpose. It is *
	11	* provided "as is" without express or implied warranty. *
	12	**************************************************************************/
	13	//-------------------------------------------------------------------------
	14	// Description:
	15	// This class include into LRC library for Long-Range Correlation analysis
	16	// it is base class for NN, PtN, PtPt
	17	// implements base methods for thees classes
	18	// Origin: Petr Naumenko, SPbSU-CERN, Petr.Naoumenko@cern.ch
	19	//-------------------------------------------------------------------------
	20
	21	/* $Id$ */
	22
	23	//-------------------------------------------------------------------------
	24	// LRC library for Long-Range Correlation analysis
	25	//
	26	// Origin: Petr Naumenko, SPbSU-CERN, Petr.Naoumenko@cern.ch
	27	//-------------------------------------------------------------------------
	28
	29	#include "AliLRCAnalysis.h"
	30
	31	ClassImp(AliLRCAnalysis)
	32
	33	/******************************************************
	34	* AliLRCAnalysis class
	35	******************************************************/
	36
	37	AliLRCAnalysis::AliLRCAnalysis(): fPrAbs(new TH1D()), fPrRel(new TH1D()), fPrf(new TH1D()), fPrb(new TH1D()), fileHist(new TFile()), fdptb(.0), fEntries(0), fSx((char)" "), fSy((char)" "){
	38	//Empty constructor
	39	}
	40
	41	AliLRCAnalysis::AliLRCAnalysis(const AliLRCAnalysis& a):fPrAbs(a.fPrAbs), fPrRel(a.fPrRel), fPrf(a.fPrf), fPrb(a.fPrb), fileHist(a.fileHist), fdptb(a.fdptb), fEntries(a.fEntries), fSx(a.fSx), fSy(a.fSy){
	42	//Constructor
	43	}
	44
	45	AliLRCAnalysis& AliLRCAnalysis::operator= (const AliLRCAnalysis& a){
	46	//Operator =
	47	if(this!=&a){
	48	fPrAbs = a.fPrAbs;
	49	fPrRel = a.fPrRel;
	50	fPrf = a.fPrf;
	51	fPrb = a.fPrb;
	52	fileHist = a.fileHist;
	53	fSx = a.fSx;
	54	fSy = a.fSy;
	55	fdptb = a.fdptb;
	56	fEntries = a.fEntries;
	57	}
	58	return *this;
	59	}
	60
	61
	62	AliLRCAnalysis::~AliLRCAnalysis() {
	63	//Destructor
	64	delete fPrAbs;
65	delete fPrRel;
66	delete fileHist;
67	}
68
69	double AliLRCAnalysis::HI2(TH1D *h, double a, double b, double xmin, double xmax) const {
70	//hi square calculation of approximation 1d hist with ax+b between xmin and xmax
71	double trueN = 0;
72	double fhi2=0;
73	double num;
74	double fN=h->GetNbinsX();
75	double f = h->GetXaxis()->GetXmin();
76	double fdf = (h->GetXaxis()->GetXmax()-f)/fN;
77	int fNmin = int((xmin-f)/fdf)+1;
78	int fNmax = int((xmax-f)/fdf)+1;
79	for(int i=fNmin; i<=fNmax; i++) {
80	double fw = h->GetBinError(i);
81	if(fw!=0){
82	num = b(ifdf-fdf/2+f)+a-h->GetBinContent(i);
83	fhi2 = fhi2 + (numnum) / (fwfw);
84	trueN++;
85	}
86	}
87	return fhi2/(trueN-2);
88	}
89
90	double AliLRCAnalysis::HI2(TH1D *h, double a, double b) const {
91	//hi square calculation of approximation 1d hist with ax+b
92	double trueN = 0;
93	double fhi2=0;
94	double num;
95	int fN=h->GetNbinsX();
96	double f = h->GetXaxis()->GetXmin();
97	double fdf = (h->GetXaxis()->GetXmax()-f)/fN;
98	int fNmin = 1;
99	int fNmax = fN;
100	for(int i=fNmin; i<=fNmax; i++) {
101	double fw = h->GetBinError(i);
102	if(fw!=0){
103	num = b(ifdf-fdf/2+f)+a-h->GetBinContent(i);
104	fhi2 = fhi2 + (numnum) / (fwfw);
105	trueN++;
106	}
107	}
108	return fhi2/(trueN-2);
109	}
110
111
112	void AliLRCAnalysis::CreateHist(char name, char nameAbs, char nameRel, char atitleF, char atitleB, char rtitleF, char rtitleB, TH2D sourceHist) {
113	//Create absolute and relation var histogramm
114	TProfile* profX = (TProfile*) sourceHist->ProfileX(name, 1, sourceHist->GetNbinsY());
115	fEntries = (int) sourceHist->GetEntries();
116	fPrAbs = new TH1D(nameAbs, profX->GetTitle(), profX->GetXaxis()->GetNbins(), profX->GetXaxis()->GetXmin(), profX->GetXaxis()->GetXmax());
117	fPrAbs->SetOption("E");
118	fPrRel = new TH1D(nameRel, profX->GetTitle(), profX->GetXaxis()->GetNbins(), profX->GetXaxis()->GetXmin()/sourceHist->ProjectionX()->GetMean(), profX->GetXaxis()->GetXmax()/sourceHist->ProjectionX()->GetMean());
119	fPrRel->SetOption("E");
120	fPrAbs->GetXaxis()->SetTitle(atitleF);
121	fPrAbs->GetYaxis()->SetTitle(atitleB);
122	fPrRel->GetXaxis()->SetTitle(rtitleF);
123	fPrRel->GetYaxis()->SetTitle(rtitleB);
124	fPrf = (TH1D*) sourceHist->ProjectionX();
125	fPrb = (TH1D*) sourceHist->ProjectionY();
126	fPrf->GetXaxis()->SetTitle(atitleF);
127	fPrf->GetYaxis()->SetTitle("Tracks");
128	fPrb->GetXaxis()->SetTitle(atitleB);
129	fPrb->GetYaxis()->SetTitle("Tracks");
130	fSx = atitleF;
131	fSy = atitleB;
132	}
133
134	void AliLRCAnalysis::DrawAbs() {
135	// Draw abs var histrogramm
136	double mnf;
137	double y1, y2, x1, x2;
138	Int_t i, n;
139	char str[50];
140	mnf = fPrf->GetMean();
141	fPrAbs->SetStats(0);
142	fPrAbs->Fit("pol1", "", "", mnf-2sqrt(mnf), mnf+2sqrt(mnf));
143	//fPrAbs->Fit("pol1");
144	TF1 *fit1 = fPrAbs->GetFunction("pol1");
145	y1=fPrAbs->GetBinContent(1)-fPrAbs->GetBinError(1);
146	y2=fPrAbs->GetBinContent(1)+fPrAbs->GetBinError(1);
147
148	n=fPrAbs->GetNbinsX();
149	for(i=2; i<=n; i++){
150	if(fPrAbs->GetBinContent(i)-fPrAbs->GetBinError(i)<y1)
151	y1=fPrAbs->GetBinContent(i)-fPrAbs->GetBinError(i);
152	if(fPrAbs->GetBinContent(i)+fPrAbs->GetBinError(i)>y2)
153	y2=fPrAbs->GetBinContent(i)+fPrAbs->GetBinError(i);
154	}
155	x1 = fPrAbs->GetXaxis()->GetXmin();
156	x2 = fPrAbs->GetXaxis()->GetXmax();
157	TPaveText *pt1 = new TPaveText(x1+(x2-x1)/4, y1+(y2-y1)/2, x2-(x2-x1)/4, y2);
158	pt1->SetTextSize(0.03);
159
160	sprintf(str, "Entries = %i", fEntries);
161	pt1->AddText(str);
162	sprintf(str, "a = %f #pm %f", fit1->GetParameter(0), fit1->GetParError(0));
163	pt1->AddText(str);
164	sprintf(str, "b = %f #pm %f", fit1->GetParameter(1), fit1->GetParError(1));
165	pt1->AddText(str);
166	sprintf(str, "#hat{#chi}^{2} = #chi^{2}/(n-2) = %f", HI2(fPrAbs, fit1->GetParameter(0), fit1->GetParameter(1), mnf-2sqrt(mnf), mnf+2sqrt(mnf)));
167	pt1->AddText(str);
168	sprintf(str, "<%s> = %f " , fSx, fPrf->GetMean());
169	pt1->AddText(str);
170	sprintf(str, "<%s> = %f", fSy, fPrb->GetMean());
171	pt1->AddText(str);
172
173	sprintf(str, "<<%s>> = %f " , fSx, fPrf->GetRMS());
174	pt1->AddText(str);
175	sprintf(str, "<<%s>> = %f", fSy, fPrb->GetRMS());
176	pt1->AddText(str);
177	if(fdptb){
178	sprintf(str, "d%s = %f", fSy, fdptb);
179	pt1->AddText(str);
180	}
181
182
183	pt1->SetTextAlign(12);
184	pt1->SetTextFont(42);
185	pt1->SetFillColor(0);
186
187	pt1->Draw();
188	}
189
190	void AliLRCAnalysis::DrawRel() {
191	// Draw rel var histogramm
192	double mnf;
193	double y1, y2, x1, x2;
194	Int_t i, n;
195	char str[50];
196
197	mnf = fPrf->GetMean();
198
199	fPrRel->SetStats(0);
200	AliLRCFit *fit1 = new AliLRCFit(fPrRel,1-2/sqrt(mnf), 1+2/sqrt(mnf));
201	TF1 f1 = new TF1("f1", "[0] + [1]x", 0, fPrRel->GetXaxis()->GetXmax());
202	f1->SetParameter(0,fit1->Geta());
203	f1->SetParameter(1,fit1->Getb());
204	fPrRel->Fit("f1", "", "", 1-2/sqrt(mnf), 1+2/sqrt(mnf));
205	y1=fPrRel->GetBinContent(1)-fPrRel->GetBinError(1);
206	y2=fPrRel->GetBinContent(1)+fPrRel->GetBinError(1);
207	n=fPrRel->GetNbinsX();
208	for(i=2; i<=n; i++) {
209	if(fPrRel->GetBinContent(i)-fPrRel->GetBinError(i)<y1)
210	y1=fPrRel->GetBinContent(i)-fPrRel->GetBinError(i);
211	if(fPrRel->GetBinContent(i)+fPrRel->GetBinError(i)>y2)
212	y2=fPrRel->GetBinContent(i)+fPrRel->GetBinError(i);
213	}
214	x1 = fPrRel->GetXaxis()->GetXmin();
215	x2 = fPrRel->GetXaxis()->GetXmax();
216	TPaveText *pt1 = new TPaveText(x1+(x2-x1)/4, y1+(y2-y1)/2, x2-(x2-x1)/4, y2);
217	pt1->SetTextSize(0.03);
218	sprintf(str, "Entries = %i", fEntries);
219	pt1->AddText(str);
220	sprintf(str, "a = %f #pm %f", fit1->Geta(), fit1->Getda());
221	pt1->AddText(str);
222	sprintf(str, "b = %f #pm %f", fit1->Getb(), fit1->Getdb());
223	pt1->AddText(str);
224	sprintf(str, "#hat{#chi}^{2} = #chi^{2}/(n-2) = %f", fit1->Gethi2());
225	pt1->AddText(str);
226	sprintf(str, "<%s> = %f " , fSx, fPrf->GetMean());
227	pt1->AddText(str);
228	sprintf(str, "<%s> = %f", fSy, fPrb->GetMean());
229	pt1->AddText(str);
230	sprintf(str, "<<%s>> = %f " , fSx, fPrf->GetRMS());
231	pt1->AddText(str);
232	sprintf(str, "<<%s>> = %f", fSy, fPrb->GetRMS());
233	pt1->AddText(str);
234	if(fdptb){
235	sprintf(str, "d%s = %f", fSy, fdptb);
236	pt1->AddText(str);
237	}
238	pt1->SetTextAlign(12);
239	pt1->SetTextFont(42);
240	pt1->SetFillColor(0);
241	pt1->Draw();
242	}
243
244	void AliLRCAnalysis::SetGraphics() const {
245	// Set root graph style
246	gStyle->SetCanvasColor(10);
247	gStyle->SetFrameFillColor(10);
248	gStyle->SetStatColor(0);
249	gStyle->SetPadColor(0);
250	}
251
252	double AliLRCAnalysis::Integral(TH2D* source, Int_t nbin) const {
253	// calculate the integrall for x bin and y bins of 2d histogramm
254	double sum = 0;
255	for(Int_t i = 1; i<=source->GetNbinsY(); i++) {
256	sum += source->GetYaxis()->GetBinCenter(i)*source->GetBinContent(nbin, i);
257	}
258	return sum;
259	}
260
261	void AliLRCAnalysis::SetErrors(TH2D* source, const char *name){
262	// Calculate errors for NN
263	TProfile* profX = (TProfile*) source->ProfileX(name, 1, source->GetNbinsY());
264	for(int i = 0; i < profX->GetNbinsX(); i++)
265	{
266	fPrAbs->SetBinContent(i, profX->GetBinContent(i));
267	if(fPrf->GetBinContent(i)!=0)
268	{
269	fPrAbs->SetBinError(i,sqrt(profX->GetBinContent(i)/fPrf->GetBinContent(i)));
270	}
271	fPrRel->SetBinContent(i, fPrAbs->GetBinContent(i)/fPrb->GetMean());
272	fPrRel->SetBinError(i,fPrAbs->GetBinError(i)/fPrb->GetMean());
273	}
274	}
275
276	void AliLRCAnalysis::SetErrors(TH2D* source, const char name, double ptd, TH2D nb){
277	//Calculate arrors for ptn and ptpt
278	TProfile* profX = (TProfile*) source->ProfileX(name, 1, source->GetNbinsY());
279	fdptb = ptd;
280	double pt;
281	for(int i = 0; i < profX->GetNbinsX(); i++)
282	{
283	fPrAbs->SetBinContent(i, profX->GetBinContent(i));
284	if(fPrf->GetBinContent(i)!=0)
285	{
286	pt = profX->GetBinContent(i);
287	fPrAbs->SetBinError(i,ptd*sqrt(Integral(nb,i))/fPrf->GetBinContent(i));
288	}
289	fPrRel->SetBinContent(i, fPrAbs->GetBinContent(i)/fPrb->GetMean());
290	fPrRel->SetBinError(i,fPrAbs->GetBinError(i)/fPrb->GetMean());
291	}
292
293	}
294
295