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#include "TROOT.h"
#include "TFile.h"
#include "TDirectory.h"
#include "TChain.h"
#include "TObject.h"
#include "TCanvas.h"
#include "TMath.h"
#include "TLegend.h"
#include "TGraph.h"
#include "TH1.h"
#include "TH2.h"
#include "TH3.h"
#include "TTree.h"
#include "TF1.h"
#include "TPaveText.h"
#include "PlotFunction.h"
#include<vector>
#include<tdrstyle.C>
void PlotMacro_Core(string input, string input2, string moduleName, string output);
int DataType = 2;
void MakeChargeDistribution(){
gROOT->Reset();
setTDRStyle();
gStyle->SetPadTopMargin (0.05);
gStyle->SetPadBottomMargin(0.10);
gStyle->SetPadRightMargin (0.18);
gStyle->SetPadLeftMargin (0.13);
gStyle->SetTitleSize(0.04, "XYZ");
gStyle->SetTitleXOffset(1.1);
gStyle->SetTitleYOffset(1.35);
gStyle->SetPalette(1);
gStyle->SetCanvasColor(0);
gStyle->SetBarOffset(0);
system("mkdir -p Pictures/Charge");
PlotMacro_Core("file:../../Data_Run_247252_to_247990_PCL/Gains_Tree.root", "file:../../Data_Run_247992_to_247992_PCL/Gains_Tree.root", "SiStripCalib" , "Checks");
}
TF1* getPeakOfLandau(TH1* InputHisto, char* name, double LowRange=50, double HighRange=5400)
{
// perform fit with standard landau
TF1* MyLandau = new TF1(name,"landau",LowRange, HighRange);
MyLandau->SetParameter(1,300);
InputHisto->Fit(MyLandau,"0QR WW");
return MyLandau;
}
void PlotMacro_Core(string input, string input2, string moduleName, string output)
{
FILE* pFile;
TCanvas* c1;
TObject** Histos = new TObject*[10];
std::vector<string> legend;
unsigned int tree1_Index;
unsigned int tree1_DetId;
unsigned char tree1_APVId;
unsigned char tree1_SubDet;
float tree1_x;
float tree1_y;
float tree1_z;
float tree1_Eta;
float tree1_R;
float tree1_Phi;
float tree1_Thickness;
float tree1_FitMPV;
float tree1_FitMPVErr;
float tree1_FitWidth;
float tree1_FitWidthErr;
float tree1_FitChi2NDF;
double tree1_Gain;
double tree1_PrevGain;
double tree1_NEntries;
bool tree1_isMasked;
unsigned int tree2_Index;
unsigned int tree2_DetId;
unsigned char tree2_APVId;
unsigned char tree2_SubDet;
float tree2_x;
float tree2_y;
float tree2_z;
float tree2_Eta;
float tree2_R;
float tree2_Phi;
float tree2_Thickness;
float tree2_FitMPV;
float tree2_FitMPVErr;
float tree2_FitWidth;
float tree2_FitWidthErr;
float tree2_FitChi2NDF;
double tree2_Gain;
double tree2_PrevGain;
double tree2_NEntries;
bool tree2_isMasked;
TFile* f1 = new TFile(input.c_str());
TTree *t1 = (TTree*)GetObjectFromPath(f1,moduleName+"/APVGain");
TH2D* ChargeDistrib1 = (TH2D*)GetObjectFromPath(f1,moduleName+"/Charge_Vs_Index");
t1->SetBranchAddress("Index" ,&tree1_Index );
t1->SetBranchAddress("DetId" ,&tree1_DetId );
t1->SetBranchAddress("APVId" ,&tree1_APVId );
t1->SetBranchAddress("SubDet" ,&tree1_SubDet );
t1->SetBranchAddress("x" ,&tree1_x );
t1->SetBranchAddress("y" ,&tree1_y );
t1->SetBranchAddress("z" ,&tree1_z );
t1->SetBranchAddress("Eta" ,&tree1_Eta );
t1->SetBranchAddress("R" ,&tree1_R );
t1->SetBranchAddress("Phi" ,&tree1_Phi );
t1->SetBranchAddress("Thickness" ,&tree1_Thickness );
t1->SetBranchAddress("FitMPV" ,&tree1_FitMPV );
t1->SetBranchAddress("FitMPVErr" ,&tree1_FitMPVErr );
t1->SetBranchAddress("FitWidth" ,&tree1_FitWidth );
t1->SetBranchAddress("FitWidthErr" ,&tree1_FitWidthErr);
t1->SetBranchAddress("FitChi2NDF" ,&tree1_FitChi2NDF );
t1->SetBranchAddress("Gain" ,&tree1_Gain );
t1->SetBranchAddress("PrevGain" ,&tree1_PrevGain );
t1->SetBranchAddress("NEntries" ,&tree1_NEntries );
t1->SetBranchAddress("isMasked" ,&tree1_isMasked );
TFile* f2 = new TFile(input2.c_str());
TTree *t2 = (TTree*)GetObjectFromPath(f2,moduleName+"/APVGain");
TH2D* ChargeDistrib2 = (TH2D*)GetObjectFromPath(f2,moduleName+"/Charge_Vs_Index");
t2->SetBranchAddress("Index" ,&tree2_Index );
t2->SetBranchAddress("DetId" ,&tree2_DetId );
t2->SetBranchAddress("APVId" ,&tree2_APVId );
t2->SetBranchAddress("SubDet" ,&tree2_SubDet );
t2->SetBranchAddress("x" ,&tree2_x );
t2->SetBranchAddress("y" ,&tree2_y );
t2->SetBranchAddress("z" ,&tree2_z );
t2->SetBranchAddress("Eta" ,&tree2_Eta );
t2->SetBranchAddress("R" ,&tree2_R );
t2->SetBranchAddress("Phi" ,&tree2_Phi );
t2->SetBranchAddress("Thickness" ,&tree2_Thickness );
t2->SetBranchAddress("FitMPV" ,&tree2_FitMPV );
t2->SetBranchAddress("FitMPVErr" ,&tree2_FitMPVErr );
t2->SetBranchAddress("FitWidth" ,&tree2_FitWidth );
t2->SetBranchAddress("FitWidthErr" ,&tree2_FitWidthErr);
t2->SetBranchAddress("FitChi2NDF" ,&tree2_FitChi2NDF );
t2->SetBranchAddress("Gain" ,&tree2_Gain );
t2->SetBranchAddress("PrevGain" ,&tree2_PrevGain );
t2->SetBranchAddress("NEntries" ,&tree2_NEntries );
t2->SetBranchAddress("isMasked" ,&tree2_isMasked );
pFile = fopen("GainDiff.txt","w");
unsigned int PreviousId = 0;
unsigned int NAPV = 0;
double MPV1 = 0;
double MPV2 = 0;
double Min = 10000;
double Max =-10000;
printf("Progressing Bar :0%% 20%% 40%% 60%% 80%% 100%%\n");
printf("Looping on the Tree :");
int TreeStep = t1->GetEntries()/50;if(TreeStep==0)TreeStep=1;
for (unsigned int ientry = 0; ientry < t1->GetEntries(); ientry++) {
if(ientry%TreeStep==0){printf(".");fflush(stdout);}
t1->GetEntry(ientry);
t2->GetEntry(ientry);
if(tree2_FitMPV>0 and tree2_FitMPV<150){
TH1D* Proj1 = ChargeDistrib1 ->ProjectionY("proj1" ,tree1_Index, tree1_Index, "e");
TH1D* Proj2 = ChargeDistrib2 ->ProjectionY("proj2" ,tree2_Index, tree2_Index, "e");
TCanvas* c1 = new TCanvas("c1", "c1", 600,600);
// c1->SetLogy(true);
TH1D* frame = new TH1D("frame", "frame", 1,0, 1000);
frame->GetXaxis()->SetNdivisions(505);
frame->SetTitle("");
frame->SetStats(kFALSE);
frame->GetXaxis()->SetTitle("charge/path-length (ADC/mm)");
frame->GetYaxis()->SetTitle("#clusters");
frame->SetMaximum(std::max(tree1_NEntries, tree2_NEntries)*0.04);
frame->SetMinimum(0.0);
frame->GetYaxis()->SetTitleOffset(1.50);
frame->Draw();
//Proj1->Scale(1.0/Proj1->Integral());
Proj1->SetLineColor(2);
Proj1->SetLineWidth(2);
Proj1->Draw("H same");
TF1* Fit1 = new TF1("MyLandau1","landau", 0, 2000);
Fit1->SetParameters(tree1_NEntries/tree1_FitWidth, tree1_FitMPV, tree1_FitWidth);
Fit1->SetLineColor(2);
Fit1->SetLineWidth(2);
Fit1->Draw("L same");
TF1* Fit1b = getPeakOfLandau(Proj1, "MyLandau1bis");
Fit1b->SetLineColor(8);
Fit1b->SetLineWidth(2);
Fit1b->Draw("L same");
printf("period1 MPV vs new MPV --> %6.2f vs %6.2f\n", tree1_FitMPV, Fit1b->GetParameter(1));
//Proj2->Scale(1.0/Proj2->Integral());
Proj2->SetLineColor(4);
Proj2->SetLineWidth(2);
Proj2->Draw("H same");
TF1* Fit2 = new TF1("MyLandau2","landau", 0, 2000);
Fit2->SetParameters(tree2_NEntries/tree2_FitWidth, tree2_FitMPV, tree2_FitWidth);
Fit2->SetLineColor(4);
Fit2->SetLineWidth(2);
Fit2->Draw("L same");
TF1* Fit2b = getPeakOfLandau(Proj2, "MyLandau2bis");
Fit2b->SetLineColor(8);
Fit2b->SetLineWidth(2);
Fit2b->Draw("L same");
printf("period2 MPV vs new MPV --> %6.2f vs %6.2f\n", tree2_FitMPV, Fit2b->GetParameter(1));
char buffer[256];
sprintf(buffer, "Pictures/Charge/SubDet%i_Id%i_Apv%i_N%i.png",tree1_SubDet, tree1_DetId, tree1_APVId, (int)tree1_NEntries);
c1->SaveAs(buffer);
}
if(tree1_APVId==0 && PreviousId>0){
double Mean = (MPV2/NAPV) / (MPV1/NAPV);
if(Mean<Min)Min=Mean;
if(Mean>Max)Max=Mean;
if(NAPV>0) fprintf(pFile,"%i %f\n",PreviousId,Mean);
NAPV=0; MPV1=0; MPV2=0;
}
PreviousId = tree1_DetId;
if(tree1_FitMPV<=0 || tree2_FitMPV<=0)continue;
NAPV++;
MPV1+=tree1_FitMPV;
MPV2+=tree2_FitMPV;
}printf("\n");
fclose(pFile);
printf("Min=%f - Max=%f\n",Min,Max);
}
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