void FitBarrel100(){
//Being calculated the number of runs from luigi's file
string line;
ifstream luigi;
luigi.open("data/luigi.txt");
if(!luigi){
cout<<"WARNING luigi.txt do not exist"<<endl;
}
cout<<"Reading Luigis file"<<endl;
int l=0;
while(!luigi.eof()){
getline(luigi,line);
l++;
}
const int runsAmmount = l-1;
cout<<runsAmmount<<endl;
//Being defined the variables and constants
const double resolution = 0.01;
string rollName;
ifstream rolls;
ifstream runsData;
float ex[runsAmmount];
float ecls[runsAmmount];
float HV[runsAmmount];
float EFF[runsAmmount];
float ERR[runsAmmount];
float EXP[runsAmmount];
float CLS[runsAmmount];
float hv[runsAmmount-3];
float cls[runsAmmount-3];
float exc[runsAmmount-3];
float ecls[runsAmmount-3];
double parameters[3];//
double wp;
double effwp;
double effknee;
double knee;
double effkneemin;
double clswp;
double clswpDef;
double ca;
double cb;
double slope50;
double chi2;
double chi2CLS;
ofstream fitData;
ofstream fitDataCLS;
double wpDef;
double effWpDef;
double hv50error;
ifstream wpChannel;
bool bfitCLS=false;
f1 = new TF1("f1",fitfunc,8.5,9.9,3); //3 es el numero de parametros del fit//
f2 = new TF1("f2",expFunc,8.5,9.9,2);
rolls.open("data/Barrel.txt");
//Being read the data, made the fit and stored the information obtained
rolls>>rollName;
while (!rolls.eof()){
cout<<rollName<<endl;
//Being read the point of operation of the channel
wpChannel.open(("results/"+rollName+"/wpChannel.txt").c_str());
wpChannel>>wpDef;
cout<<"wpDef= "<<wpDef<<endl;
wpChannel.close();
//Being configured the seed of the fit parameters
const char init = rollName[0];
f1->SetParameter(0, 95.0);
if (init=='R'){
f1->SetParameter(1, -12);//
f1->SetParameter(2, 9.3);//
}
else{
f1->SetParameter(1, -8.5);//
f1->SetParameter(2, 8.9);//
}
f2->SetParameter(0,-14);
f2->SetParameter(1,1.5);
//Being read the data for the current roll
runsData.open(("results/"+rollName+"/runsData.txt").c_str());
for (int n=0;n<runsAmmount;n++){
runsData>>HV[n]>>EFF[n]>>ERR[n]>>EXP[n]>>CLS[n];
cout<<HV[n]<<" "<<EFF[n]<<" "<<ERR[n]<<" "<<EXP[n]<<" "<<CLS[n]<<endl;
//The first three points (with lower high voltage) are not taking in account in the proccess of doing the CLS fit (because their lower efficiency
if (n>2){
hv[n-3]=HV[n];
cls[n-3]=CLS[n];
cout<<hv[n-3]<<endl;
cout<<cls[n-3]<<endl;
if (cls[n-3]!=0) bFitCLS=true;
}
}
runsData.close();
///////////////////////////////// The error in the CLS fit is done by hand, it is something to be improved
for(int n=0;n<runsAmmount;n++){
ex[n] = 0.0001;
if (n>2){
exc[n-3]=0.0001;
ecls[n-3] = 0.0001;
}
}
for(n=0;n<runsAmmount;n++){
if(ERR[n]==0.) ERR[n]=10.;
}
//////////////////////////////////////////////////////
//Being made the HV fit
hveff = new TGraphErrors(runsAmmount, HV, EFF, ex, ERR);
hveff->Fit(f1);
chi2=(f1->GetChisquare())/runsAmmount;
effmaxerror=(f1->GetParError(0));
Serror=(f1->GetParError(1));
hv50error=(f1->GetParError(2));
parameters[0]=f1->GetParameter(0);
parameters[1]=f1->GetParameter(1);//
parameters[2]=f1->GetParameter(2);//
for(i=0;i<3;i++) cout<<"parameter "<< i<<" = "<<parameters[i]<<endl;
//Being calculated the knee and the proposed working point for this roll
wp=0;
effwp=0;
effknee=0;
knee=parameters[2];
effkneemin = parameters[0]*0.95;
if ((parameters[0]>0)&&(parameters[1]<0)){//In this case is not calculated because the fit is wrong
while (effknee<effkneemin){
cout<<rollName<<" "<<effknee<<" "<<effkneemin<<" "<<parameters[0]<<" "<<parameters[1]<<" "<<parameters[2]<<endl;
knee=knee+resolution;
effknee=amano(knee,parameters[1],parameters[0],parameters[2]);
}
}
wp= knee +0.100;
effwp=amano(wp,parameters[1],parameters[0],parameters[2]);
effWpDef=amano(wpDef,parameters[1],parameters[0],parameters[2]);
cout<<"EFFWPChannel "<<effWpDef<<endl;
//Being done the CLS fit
hvcls = new TGraphErrors(runsAmmount-3, hv, cls, exc, ecls);
if (bFitCLS) hvcls->Fit(f2);
ca=f2->GetParameter(0);
cb=f2->GetParameter(1);
cout<<"Fit CLS done: "<<ca<<" "<<cb<<endl;
clswp = expFuncAMano(wp,ca,cb);
clsknee = expFuncAMano(knee,ca,cb);
clsWpDef = expFuncAMano(wpDef,ca,cb);
chi2CLS=(f2->GetChisquare())/(runsAmmount-3);
slope50 = difamano(parameters[2],parameters[1],parameters[0],parameters[2]);
fitData.open(("results/"+rollName+"/fitData.txt").c_str());
//Being stored the resulting data
fitData<<wp<<" "<<slope50<<" "<<parameters[0]<<" "<<parameters[2]<<" "<<chi2<<" "<<clswp<<" "<<effwp<<" "<<wpDef<<" "<<effWpDef<<" "<<clsWpDef<<" "<<effmaxerror<<" "<<Serror<<" "<<hv50error<<" "<<parameters[1]<<endl;
fitData.close();
fitDataCLS.open(("results/"+rollName+"/fitDataCLS.txt").c_str());
fitDataCLS<<ca<<" "<<cb<<" "<<chi2CLS<<" "<<wp<<" "<<clswp<<" "<<wpDef<<" "<<clsWpDef<<endl;
fitDataCLS.close();
rolls>>rollName;
}
exit(0);
}
void GraphAndFit(){
int i, j;
int NumOfBins_0 = 0, NumOfBins_1 = 0, NumOfBins_2 = 0, NumOfBins_3 = 0;
float x[4], ex[4], mask[4];
string line, namesave;
ofstream hvscaninfo;
TFile *_file0 = TFile::Open("9000/67838.root");
TFile *_file1 = TFile::Open("9100/68288.root");
TFile *_file2 = TFile::Open("9200/66594.root");
TFile *_file3 = TFile::Open("9300/67647.root");
string name;
string file;
for(l=1;l<=10;l++){
if(l==1){
name = "GlobMaskedWheel_-2near";
file = "rollsWm2near.txt";
}else if(l==2){
name = "GlobMaskedWheel_-2far";
file = "rollsWm2far.txt";
}else if(l==3){
name = "GlobMaskedWheel_-1near";
file = "rollsWm1near.txt";
}else if(l==4){
name = "GlobMaskedWheel_-1far";
file = "rollsWm1far.txt";
}else if(l==5){
name = "GlobMaskedWheel_0near";
file = "rollsW0near.txt";
}else if(l==6){
name = "GlobMaskedWheel_0far";
file = "rollsW0far.txt";
}else if(l==7){
name = "GlobMaskedWheel_1near";
file = "rollsW1near.txt";
}else if(l==8){
name = "GlobMaskedWheel_1far";
file = "rollsW1far.txt";
}else if(l==9){
name = "GlobMaskedWheel_2near";
file = "rollsW2near.txt";
}else if(l==10){
name = "GlobMaskedWheel_2far";
file = "rollsW2far.txt";
}
ifstream filein;
//filein.open("rollsW2far.txt");
filein.open(file.c_str());
string output = "output" + file;
hvscaninfo.open(output.c_str());
TH1F * masked0 = (TH1F*) (_file0->Get(name.c_str()));
TH1F * masked1 = (TH1F*) (_file1->Get(name.c_str()));
TH1F * masked2 = (TH1F*) (_file2->Get(name.c_str()));
TH1F * masked3 = (TH1F*) (_file3->Get(name.c_str()));
//cout<<"roll size"<<masked0->TH1F::GetNbinsX()<<endl;
TGraphErrors * grp;
TCanvas *C1 = new TCanvas("C1","Global Efficiency",200,10,800,600);
C1->SetFillColor(10);
C1->Draw();
C1->cd();
TF1 * f1;
int k=1;
while ( !filein.eof()){
//Masked Strips
f1 = new TF1("f1",fitfunc,8.5,9.5, 3 );
f1->SetParameter(0, 80.0);
f1->SetParameter(1, 100);
f1->SetParameter(2, 8.9);
float EFF_0 = 0, EFF_1 = 0, EFF_2 =0 , EFF_3 = 0;
float ERR_0 = 0, ERR_1 = 0, ERR_2 =0 , ERR_3 = 0;
float EFFSUM_0 = 0, EFFSUM_1 = 0, EFFSUM_2 = 0, EFFSUM_3 = 0;
float ERRSUM_0 = 0, ERRSUM_1 = 0, ERRSUM_2 = 0, ERRSUM_3 = 0;
float sqrtERR_0, sqrtERR_1, sqrtERR_2, sqrtERR_3;
float avEFF[4];
float avERR[4];
getline(filein,line);
//cout <<"In line"<< line << endl;
string Roll = line;
string name = "Profile_For_" + Roll;
TH1F *HV9000 = (TH1F*)_file0->Get(name.c_str());
TH1F *HV9100 = (TH1F*)_file1->Get(name.c_str());
TH1F *HV9200 = (TH1F*)_file2->Get(name.c_str());
TH1F *HV9300 = (TH1F*)_file3->Get(name.c_str());
NumOfBins_0 = HV9000->TH1F::GetNbinsX();
NumOfBins_1 = HV9100->TH1F::GetNbinsX();
NumOfBins_2 = HV9200->TH1F::GetNbinsX();
NumOfBins_3 = HV9300->TH1F::GetNbinsX();
for(i = 1; i <= NumOfBins_0; ++i){
EFF_0 = HV9000->GetBinContent(i);
ERR_0 = HV9000->GetBinError(i);
EFFSUM_0 += EFF_0;
ERRSUM_0 += ERR_0*ERR_0;
}
avEFF[0] = 100.*EFFSUM_0/NumOfBins_0;
sqrtERR_0 = sqrt(ERRSUM_0);
avERR[0] = 100.*sqrtERR_0/NumOfBins_0;
for(i = 1; i <= NumOfBins_1; ++i){
EFF_1 = HV9100->GetBinContent(i);
ERR_1 = HV9100->GetBinError(i);
EFFSUM_1 += EFF_1;
ERRSUM_1 += ERR_1*ERR_1;
}
avEFF[1] = 100.*EFFSUM_1/NumOfBins_1;
sqrtERR_1 = sqrt(ERRSUM_1);
avERR[1] = 100.*sqrtERR_1/NumOfBins_1;
for(i = 1; i <= NumOfBins_2; ++i){
EFF_2 = HV9200->GetBinContent(i);
ERR_2 = HV9200->GetBinError(i);
EFFSUM_2 += EFF_2;
ERRSUM_2 += ERR_2*ERR_2;
}
avEFF[2] = 100.*EFFSUM_2/NumOfBins_2;
sqrtERR_2 = sqrt(ERRSUM_2);
avERR[2] = 100.*sqrtERR_2/NumOfBins_2;
for(i = 1; i <= NumOfBins_3; ++i){
EFF_3 = HV9300->GetBinContent(i);
ERR_3 = HV9300->GetBinError(i);
EFFSUM_3 += EFF_3;
ERRSUM_3 += ERR_3*ERR_3;
}
avEFF[3] = 100.*EFFSUM_3/NumOfBins_3;
sqrtERR_3 = sqrt(ERRSUM_3);
avERR[3] = 100.*sqrtERR_3/NumOfBins_3;
x[0] = 9.0;
x[1] = 9.1;
x[2] = 9.2;
x[3] = 9.3;
ex[0] = 0;
ex[1] = 0;
ex[2] = 0;
ex[3] = 0;
bool good=true;
for(i=0;i<3;i++){
if(avEFF[i]-avEFF[i+1]>5.)good = false;
if(avEFF[i]==0. || avEFF[i+1]==0.) good = false;
}
if(!good){
//cout<<Roll<<" bad scan"<<endl;
}else{
//cout<<Roll<<" good scan"<<endl;
}
//cout << x[0] <<" : " << avEFF[0] << "------" << avERR[0] << endl;
//cout << x[1] <<" : " << avEFF[1] << "------" << avERR[1] << endl;
//cout << x[2] <<" : " << avEFF[2] << "------" << avERR[2] << endl;
//cout << x[3] <<" : " << avEFF[3] << "------" << avERR[3] << endl;
string titlename = "Efficiency vs HV " + Roll;
namesave = "GlobalEff.png";
string foldername = Roll;
string fullname = foldername + string("/") + namesave;
grp = new TGraphErrors(4, x, avEFF, ex, avERR);
grp->SetTitle(titlename.c_str());
grp->SetLineColor(kRed);
grp->SetMarkerStyle(20);
grp->SetMarkerSize(1.0);
grp->SetMinimum(-0.01);
grp->SetMaximum(100);
grp->GetXaxis()->SetTitle("HV(kV)");
grp->GetYaxis()->SetTitle("Efficiency(%)");
grp->Fit(f1);
grp->Draw("AP");
double emax=f1->GetParameter(0);
double parameters[3];
parameters[0]=emax;
parameters[1]=f1->GetParameter(1);
parameters[2]=f1->GetParameter(2);
for(i=0;i<3;i++){
cout<<"i="<<parameters[i]<<" "<<endl;
}
double hv[1]={0};
double wp=0;
bool found=false;
for(hv[0]=8.5;hv[0]<=9.7;hv[0]=hv[0]+0.01){
if(emax-amano(hv[0],f1->GetParameter(1),f1->GetParameter(0),f1->GetParameter(2))<=0.05 && found==false){
cout<<hv[0]<< " " <<amano(hv[0],f1->GetParameter(1),f1->GetParameter(0),f1->GetParameter(2))<<" "<<emax<<endl;
wp=hv[0];
found=true;
}
}
string cond = "bad";
if(good){
cond = "good";
}
hvscaninfo<<Roll<<" "<<wp<<" "<<emax<<" "<<cond<<" roll scan"<<endl;
TH1F * masked = new TH1F("Masked","Masked",4,8.95,9.35);
masked->SetBinContent(1,masked0->GetBinContent(k));
masked->SetBinContent(2,masked1->GetBinContent(k));
masked->SetBinContent(3,masked2->GetBinContent(k));
masked->SetBinContent(4,masked3->GetBinContent(k));
masked->SetLineColor(kRed);
masked->Draw("same");
gSystem->mkdir(foldername.c_str());
C1->SaveAs(fullname.c_str());
C1->Clear();
HV9000->SetLineColor(1);
HV9100->SetLineColor(2);
HV9200->SetLineColor(3);
HV9300->SetLineColor(9);
HV9000->SetMaximum(1);
HV9100->SetMaximum(1);
HV9200->SetMaximum(1);
HV9300->SetMaximum(1);
HV9000->Draw();
HV9100->Draw("same");
HV9200->Draw("same");
HV9300->Draw("same");
string titlename = "Profile " + Roll;
HV9000->SetTitle(titlename.c_str());
HV9000->GetYaxis()->SetTitle("Efficiency(%)");
namesave = "Profile.png";
string foldername = Roll;
string fullname = foldername + string("/") + namesave;
C1->SaveAs(fullname.c_str());
C1->Clear();
delete grp;
delete f1;
delete masked;
k++;
}
hvscaninfo.close();
}
}
