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{
gROOT->Reset();
gROOT->SetStyle("Plain");
gStyle->SetOptStat(1111);
gStyle->SetOptFit(111);
Float_t plsignal[50][73][5][5],plnoise[50][73][5][5];
Float_t minsignal[50][73][5][5],minnoise[50][73][5][5];
Float_t excluded_min[50][73][5][5];
FILE *Out1 = fopen("coefficients_8.9mln.txt", "w+");
for(Int_t k=1; k<50; k++)
{
for(Int_t i=1; i<73; i++)
{
for(Int_t j=1; j<5; j++)
{
for(Int_t l=1; l<5; l++)
{
excluded_min[k][i][j][l] = 0.;
} // l
} // j
} // i
} // k
std::string line;
std::ifstream in21( "HB_exclusion.txt" );
while( std::getline( in21, line)){
istringstream linestream(line);
int eta,phi,dep;
linestream>>dep>>eta>>phi;
cout<<" Eta="<<eta<<endl;
if( eta > 0 )
{
cout<<" eta > 0 "<<endl;
} else
{
excluded_min[abs(eta)][phi][dep][1] = 1;
}
}
cout<<" Read "<<endl;
std::ifstream in20( "var_noise_8.9mln.txt" );
while( std::getline( in20, line)){
istringstream linestream(line);
Float_t var,err;
int subd,eta,phi,dep;
linestream>>subd>>eta>>phi>>dep>>var;
if( eta > 0 )
{
plnoise[eta][phi][dep][subd] = var;
} else
{
minnoise[abs(eta)][phi][dep][subd] = var;
}
}
cout<<" End of noise read "<<endl;
std::ifstream in21( "var_minbias_8.9mln.txt" );
while( std::getline( in21, line)){
istringstream linestream(line);
Float_t var,err;
int subd,eta,phi,dep;
linestream>>subd>>eta>>phi>>dep>>var>>err;
if( eta > 0 )
{
plsignal[eta][phi][dep][subd] = var;
} else
{
minsignal[abs(eta)][phi][dep][subd] = var;
}
}
cout<<" End of signal read "<<endl;
//
// Choose depth
//
Float_t plmean[50][5][5];
Float_t minmean[50][5][5];
Int_t numchan[50][5][5];
for(Int_t k=1; k<5; k++)
{
for(Int_t idep0=1; idep0<5; idep0++)
{
for(Int_t i=1; i<42; i++) {
plmean[i][idep0][k] = 0.;
minmean[i][idep0][k] = 0.;
Int_t nch1 = 0;
Int_t nchp = 0;
Int_t nchm = 0;
for(Int_t j=1; j<73; j++){
if(minsignal[i][j][idep0][k]>0.) nch1++;
if(plsignal[i][j][idep0][k]>0.) nchp++;
if(minsignal[i][j][idep0][k]>0.) nchm++;
plmean[i][idep0][k] = plmean[i][idep0][k] + plsignal[i][j][idep0][k] - plnoise[i][j][idep0][k];
minmean[i][idep0][k] = minmean[i][idep0][k] + minsignal[i][j][idep0][k] - minnoise[i][j][idep0][k];
} // j
numchan[i][idep0][k] = nch1;
if(nch1 == 0) continue;
plmean[i][idep0][k] = plmean[i][idep0][k]/nchp;
minmean[i][idep0][k] = minmean[i][idep0][k]/nchm;
cout<<" k, idep0, i, nch1= "<<k<<" "<<idep0<<" "<<i<<" "<<nch1<<endl;
// Do not calibrate HO
Float_t err = 0.00001;
if( k != 3 ) {
for(Int_t j=1;j<73;j++) {
if( plsignal[i][j][idep0][k] > 0.) {
Float_t tt0;
if( plsignal[i][j][idep0][k] - plnoise[i][j][idep0][k]>0.0000001 && plmean[i][idep0][k]>0.) {
tt0 = sqrt(plmean[i][idep0][k]/(plsignal[i][j][idep0][k] - plnoise[i][j][idep0][k]));
} else {
tt0 = 1.;
}
fprintf(Out1,"%d %d %d %d %.5f %.5f\n",k,idep0,i,j,tt0,err);
} // plnoise
} // j
for(Int_t j=1;j<73;j++) {
if( minsignal[i][j][idep0][k] > 0. ) {
Float_t tt0;
if(minsignal[i][j][idep0][k] - minnoise[i][j][idep0][k]>0.&& minmean[i][idep0][k]>0. ) {
tt0 = sqrt(minmean[i][idep0][k]/(minsignal[i][j][idep0][k] - minnoise[i][j][idep0][k]));
} else {
tt0 = 1.;
}
Int_t ieta = -1*i;
fprintf(Out1,"%d %d %d %d %.5f %.5f\n",k,idep0,ieta,j,tt0,err);
} // minnoise
} // j
} // TMP
} else {
for(Int_t j=1;j<73;j++){
Float_t tt0=1.;
Int_t ieta = i;
fprintf(Out1,"%d %d %d %d %.5f %.5f\n",k,idep0,ieta,j,tt0,err);
}// j
for(Int_t j=1;j<73;j++){
Float_t tt0=1.;
Int_t ieta = -1*i;
fprintf(Out1,"%d %d %d %d %.5f %.5f\n",k,idep0,ieta,j,tt0,err);
}// j
} // k = 3
cout<<" End "<<endl;
} // i
} // idep0
} // k
fclose(Out1);
}
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