/*
+/* 04/10/07
-Version 1 for MUONTRKda MUON tracking
-Working version for pedestal
-Framework for gain computing
-(Ch. Finck)
+Version for MUONTRKda MUON tracking
+(A. Baldisseri, J.-L. Charvet & Ch. Finck)
Rem: AliMUON2DMap stores all channels, even those which are not connected
#define NFITPARAMS 4
// global variables
-AliMUONVStore* pedestalStore = new AliMUON2DMap(kFALSE);
-const Int_t kNchannels = AliMpConstants::ManuNofChannels();
-Int_t nManu = 0;
-Int_t nChannel = 0;
-UInt_t runNumber = 0;
-Int_t nEvents = 0;
-TH1F* pedMeanHisto = 0x0;
-TH1F* pedSigmaHisto = 0x0;
-Char_t histoFileName[256];
-TString command("ped");
+const Int_t gkNChannels = AliMpConstants::ManuNofChannels();
+const Int_t gkADCMax = 4095;
+
+AliMUONVStore* gPedestalStore = new AliMUON2DMap(kFALSE);
+
+Int_t gNManu = 0;
+Int_t gNChannel = 0;
+UInt_t gRunNumber = 0;
+Int_t gNEvents = 0;
+Int_t gNDateEvents = 0;
+Int_t gPrintLevel = 1; // global printout variable
+Int_t gPlotLevel = 0; // global plot variable
+
+TH1F* gPedMeanHisto = 0x0;
+TH1F* gPedSigmaHisto = 0x0;
+Char_t gHistoFileName[256];
+
+// used by makegain
+Char_t gHistoFileName_gain[256]="MuonTrkDA_data.root";
+Char_t gRootFileName[256]="MuonTrkDA_gain.root";
+Char_t filenam[256]="MuonTrkDA_gain.param"; // if gPrintLevel = 2
+
+
+TString gCommand("ped");
// funtions
+
+//________________
+Double_t funcLin(Double_t *x, Double_t *par)
+{
+ return par[0] + par[1]*x[0];
+}
+
//________________
-Double_t fitFunc(Double_t *x, Double_t *par)
+Double_t funcParabolic(Double_t *x, Double_t *par)
{
- //fit function for gains
+ return par[0]*x[0]*x[0];
+}
- Double_t xx = x[0];
- Double_t f;
+//________________
+Double_t funcCalib(Double_t *x, Double_t *par)
+{
+ Double_t xLim= par[3];
- if (xx < par[3])
- f = par[0] + par[1]*xx;
- else
- f= par[0] + par[1]*xx + par[2]*xx*xx;
+ if(x[0] <= xLim) return par[0] + par[1]*x[0];
- return f;
+ Double_t yLim = par[0]+ par[1]*xLim;
+ return yLim + par[1]*(x[0] - xLim) + par[2]*(x[0] - xLim)*(x[0] - xLim);
}
+//________________
+// Double_t fitFunc(Double_t *x, Double_t *par)
+// {
+// //fit function for gains
+
+// Double_t xx = x[0];
+// Double_t f;
+
+// if (xx < par[3])
+// f = par[0] + par[1]*xx;
+// else
+// f= par[0] + par[1]*xx + par[2]*xx*xx;
+
+// return f;
+// }
+
//__________
void MakePed(Int_t busPatchId, Int_t manuId, Int_t channelId, Int_t charge)
{
AliMUONVCalibParam* ped =
- static_cast<AliMUONVCalibParam*>(pedestalStore->FindObject(busPatchId, manuId));
+ static_cast<AliMUONVCalibParam*>(gPedestalStore->FindObject(busPatchId, manuId));
if (!ped) {
- nManu++;
- ped = new AliMUONCalibParamND(2, kNchannels,busPatchId, manuId, -1.); // put default wise -1, not connected channel
- pedestalStore->Add(ped);
+ gNManu++;
+ ped = new AliMUONCalibParamND(2, gkNChannels,busPatchId, manuId, -1.); // put default wise -1, not connected channel
+ gPedestalStore->Add(ped);
}
- if (nEvents == 1) {
+ if (gNEvents == 1) {
ped->SetValueAsDouble(channelId, 0, 0.);
ped->SetValueAsDouble(channelId, 1, 0.);
}
Int_t channelId;
// histo
- sprintf(histoFileName,"mutrkped-%d.root",runNumber);
- TFile* histoFile = new TFile(histoFileName,"RECREATE","MUON Tracking pedestals");
+// sprintf(gHistoFileName,"mutrkped-%d.root",gRunNumber);
+ sprintf(gHistoFileName,"MuonTrkDA_%d_ped.root",gRunNumber);
+ TFile* histoFile = new TFile(gHistoFileName,"RECREATE","MUON Tracking pedestals");
Char_t name[255];
Char_t title[255];
Int_t nx = 1000;
Int_t xmin = 0;
Int_t xmax = 1000;
- pedMeanHisto = new TH1F(name,title,nx,xmin,xmax);
- pedMeanHisto->SetDirectory(histoFile);
+ gPedMeanHisto = new TH1F(name,title,nx,xmin,xmax);
+ gPedMeanHisto->SetDirectory(histoFile);
sprintf(name,"pedsigma_allch");
sprintf(title,"Pedestal sigma all channels");
nx = 200;
xmin = 0;
xmax = 50;
- pedSigmaHisto = new TH1F(name,title,nx,xmin,xmax);
- pedSigmaHisto->SetDirectory(histoFile);
+ gPedSigmaHisto = new TH1F(name,title,nx,xmin,xmax);
+ gPedSigmaHisto->SetDirectory(histoFile);
TTree* tree = new TTree("t","Pedestal tree");
tree->Branch("bp",&busPatchId,"bp/I");
tree->Branch("manu",&manuId,",manu/I");
tree->Branch("channel",&channelId,",channel/I");
+ tree->Branch("pedMean",&pedMean,",pedMean/D");
+ tree->Branch("pedSigma",&pedSigma,",pedSigma/D");
if (!flatOutputFile.IsNull()) {
fileout.open(flatOutputFile.Data());
fileout<<"//===========================================================================" << endl;
fileout<<"// Pedestal file calculated by MUONTRKda"<<endl;
fileout<<"//===========================================================================" << endl;
- fileout<<"// * Run : " << runNumber << endl;
+ fileout<<"// * Run : " << gRunNumber << endl;
fileout<<"// * Date : " << date.AsString("l") <<endl;
- fileout<<"// * Statictics : " << nEvents << endl;
- fileout<<"// * # of MANUS : " << nManu << endl;
- fileout<<"// * # of channels : " << nChannel << endl;
+ fileout<<"// * Statictics : " << gNEvents << endl;
+ fileout<<"// * # of MANUS : " << gNManu << endl;
+ fileout<<"// * # of channels : " << gNChannel << endl;
fileout<<"//"<<endl;
fileout<<"//---------------------------------------------------------------------------" << endl;
fileout<<"//---------------------------------------------------------------------------" << endl;
- fileout<<"//format : BUS_PATCH MANU_ID CHANNEL MEAN SIGMA"<<endl;
+// fileout<<"//format : BUS_PATCH MANU_ID CHANNEL MEAN SIGMA"<<endl;
+ fileout<<"// BP MANU CH. MEAN SIGMA"<<endl;
fileout<<"//---------------------------------------------------------------------------" << endl;
}
// iterator over pedestal
- TIter next(pedestalStore->CreateIterator());
+ TIter next(gPedestalStore->CreateIterator());
AliMUONVCalibParam* ped;
while ( ( ped = dynamic_cast<AliMUONVCalibParam*>(next() ) ) )
if (pedMean > 0) { // connected channels
- ped->SetValueAsDouble(channelId, 0, pedMean/(Double_t)nEvents);
+ ped->SetValueAsDouble(channelId, 0, pedMean/(Double_t)gNEvents);
pedMean = ped->ValueAsDouble(channelId, 0);
pedSigma = ped->ValueAsDouble(channelId, 1);
- ped->SetValueAsDouble(channelId, 1, TMath::Sqrt(TMath::Abs(pedSigma/(Double_t)nEvents - pedMean*pedMean)));
+ ped->SetValueAsDouble(channelId, 1, TMath::Sqrt(TMath::Abs(pedSigma/(Double_t)gNEvents - pedMean*pedMean)));
pedMean = ped->ValueAsDouble(channelId, 0) + 0.5 ;
+// pedMean = ped->ValueAsDouble(channelId, 0) ;
pedSigma = ped->ValueAsDouble(channelId, 1);
<< pedMean <<"\t"<< pedSigma << endl;
}
- pedMeanHisto->Fill(pedMean);
- pedSigmaHisto->Fill(pedSigma);
+ gPedMeanHisto->Fill(pedMean);
+ gPedSigmaHisto->Fill(pedSigma);
tree->Fill();
}
}
//________________
-void MakePedStoreForGain()
+void MakePedStoreForGain(Int_t injCharge)
{
// store pedestal map in root file
- Int_t injCharge = 200;
+// Int_t injCharge = 200;
TTree* tree = 0x0;
MakePedStore();
// store in root file
- sprintf(histoFileName,"mutrkgain.root");
+// sprintf(gHistoFileName,"mutrkgain.root");
TString mode("UPDATE");
- if (command.Contains("cre")) {
+ if (gCommand.Contains("cre")) {
mode = "RECREATE";
}
- TFile* histoFile = new TFile(histoFileName, mode.Data(), "MUON Tracking Gains");
+ TFile* histoFile = new TFile(gHistoFileName_gain, mode.Data(), "MUON Tracking Gains");
// second argument should be the injected charge, taken from config crocus file
// put also info about run number could be usefull
- AliMpIntPair* pair = new AliMpIntPair(runNumber, injCharge);
+ AliMpIntPair* pair = new AliMpIntPair(gRunNumber, injCharge);
if (mode.CompareTo("UPDATE") == 0) {
tree = (TTree*)histoFile->Get("t");
tree->SetBranchAddress("run",&pair);
- tree->SetBranchAddress("ped",&pedestalStore);
+ tree->SetBranchAddress("ped",&gPedestalStore);
} else {
tree = new TTree("t","Pedestal tree");
tree->Branch("run", "AliMpIntPair",&pair);
- tree->Branch("ped", "AliMUON2DMap",&pedestalStore);
+ tree->Branch("ped", "AliMUON2DMap",&gPedestalStore);
tree->SetBranchAddress("run",&pair);
- tree->SetBranchAddress("ped",&pedestalStore);
+ tree->SetBranchAddress("ped",&gPedestalStore);
}
//________________
void MakeGainStore(TString flatOutputFile)
{
-
+ Double_t goodA1Min = 0.5;
+ Double_t goodA1Max = 2.;
+ Double_t goodA2Min = -0.5E-03;
+ Double_t goodA2Max = 1.E-03;
+
// open file mutrkgain.root
// read again the pedestal for the calibration runs (9 runs ?)
// need the injection charge from config file (to be done)
// Fit with a polynomial fct
// store the result in a flat file.
- Double_t pedMean[10];
- Double_t pedSigma[10];
- Double_t injCharge[10];
- Double_t injChargeErr[10];
+ Double_t pedMean[11];
+ Double_t pedSigma[11];
+ Double_t injCharge[11];
+ Double_t injChargeErr[11];
ofstream fileout;
TTimeStamp date;
- if (!flatOutputFile.IsNull()) {
- fileout.open(flatOutputFile.Data());
- fileout<<"//===========================================================================" << endl;
- fileout<<"// Pedestal file calculated by MUONTRKda"<<endl;
- fileout<<"//===========================================================================" << endl;
- fileout<<"// * Run : " << runNumber << endl;
- fileout<<"// * Date : " << date.AsString("l") <<endl;
- fileout<<"// * Statictics : " << nEvents << endl;
- fileout<<"// * # of MANUS : " << nManu << endl;
- fileout<<"// * # of channels : " << nChannel << endl;
- fileout<<"//"<<endl;
- fileout<<"//---------------------------------------------------------------------------" << endl;
- fileout<<"//---------------------------------------------------------------------------" << endl;
- fileout<<"//format : BUS_PATCH MANU_ID CHANNEL GAIN0 GAIN1 GAIN2 XLIM CHI2"<<endl;
- fileout<<"//---------------------------------------------------------------------------" << endl;
+// full print out
+
+ // why 2 files ? (Ch. F.)
+ FILE *pfilen = 0;
+ if(gPrintLevel==2)
+ {
+// Char_t filenam[256]="MuonTrkDA_gain.param";
+ cout << " fit parameter file = " << filenam << "\n";
+ pfilen = fopen (filenam,"w");
+ fprintf(pfilen,"//===================================================================\n");
+ fprintf(pfilen,"// BP MANU CH. a0 a1 a2 xlim P(chi2) P(chi2)2 Q\n");
+ fprintf(pfilen,"//===================================================================\n");
}
+ FILE *pfilew=0;
+ if (!flatOutputFile.IsNull())
+ {
+ pfilew = fopen (flatOutputFile.Data(),"w");
+
+ fprintf(pfilew,"//=================================================\n");
+ fprintf(pfilew,"// Calibration file calculated by MUONTRKda \n");
+ fprintf(pfilew,"//=================================================\n");
+ fprintf(pfilew,"// * Run : %d \n",gRunNumber);
+ fprintf(pfilew,"// * Date : %s \n",date.AsString("l"));
+ fprintf(pfilew,"// * Statictics : %d \n",gNEvents);
+ fprintf(pfilew,"// * # of MANUS : %d \n",gNManu);
+ fprintf(pfilew,"// * # of channels : %d \n",gNChannel);
+ fprintf(pfilew,"//-------------------------------------------------\n");
+ fprintf(pfilew,"//=======================================\n");
+ fprintf(pfilew,"// BP MANU CH. a1 a2 thres. Q\n");
+ fprintf(pfilew,"//=======================================\n");
+ }
+
+
+
+// sprintf(gHistoFileName,"mutrkgain.root");
+ TFile* histoFile = new TFile(gHistoFileName_gain);
+
+ AliMUON2DMap* map[11];
+ AliMUONVCalibParam* ped[11];
+ AliMpIntPair* run[11];
- sprintf(histoFileName,"mutrkgain.root");
- TFile* histoFile = new TFile(histoFileName);
+// plot out
- AliMUON2DMap* map[10];
- AliMUONVCalibParam* ped[10];
- // AliMpIntPair* pair;
- AliMpIntPair* run[10];
+ TFile* gainFile = 0x0;
+// sprintf(gRootFileName,"makegain.root");
+ gainFile = new TFile(gRootFileName,"RECREATE");
+
+ Double_t chi2 = 0.;
+ Double_t chi2P2 = 0.;
+ Double_t prChi2 = 0;
+ Double_t prChi2P2 =0;
+ Double_t a0,a1,a2;
+ Int_t busPatchId ;
+ Int_t manuId ;
+ Int_t channelId ;
+ Int_t threshold = 0;
+ Int_t Q = 0;
+
+ TTree *tg = new TTree("tg","TTree avec class Manu_DiMu");
+
+ tg->Branch("bp",&busPatchId, "busPatchId/I");
+ tg->Branch("manu",&manuId, "manuId/I");
+ tg->Branch("channel",&channelId, "channelId/I");
+
+ tg->Branch("a0",&a0, "a0/D");
+ tg->Branch("a1",&a1, "a1/D");
+ tg->Branch("a2",&a2, "a2/D");
+ tg->Branch("Pchi2",&prChi2, "prChi2/D");
+ tg->Branch("Pchi2_2",&prChi2P2, "prChi2P2/D");
+ tg->Branch("Threshold",&threshold, "threshold/I");
+ tg->Branch("Q",&Q, "Q/I");
//read back from root file
TTree* tree = (TTree*)histoFile->Get("t");
Int_t nEntries = tree->GetEntries();
+// tree->Branch("a1",&a1, "a1/D");
+
+ if(gPrintLevel) cout << " nEntries = " << nEntries << " DAC values \n" << endl;
// read back info
for (Int_t i = 0; i < nEntries; ++i) {
tree->SetBranchAddress("ped",&map[i]);
tree->SetBranchAddress("run",&run[i]);
tree->GetEvent(i);
+
+// std::cout << map[i] << " " << run[i] << std::endl;
}
// Q = f(ADC)
- TF1* func = new TF1("func",fitFunc, 0., 2500., NFITPARAMS);
- // TF1* func = new TF1("func","pol1");
+ TF1 *f1 = new TF1("f1",funcLin,0.,gkADCMax,2);
+ TF1 *f2 = new TF1("f2",funcParabolic,0.,gkADCMax,1);
+
+ char graphName[256];
// iterates over the first pedestal run
TIter next(map[0]->CreateIterator());
AliMUONVCalibParam* p;
+ Int_t nmanu = 0;
+ Int_t nBadChannel = 0;
+ Double_t sumProbChi2 = 0.;
+ Double_t sumA1 = 0.;
+ Double_t sumProbChi2P2 = 0.;
+ Double_t sumA2 = 0.;
+
+ Double_t x[11], xErr[11], y[11], yErr[11];
+
while ( ( p = dynamic_cast<AliMUONVCalibParam*>(next() ) ) )
{
ped[0] = p;
- Int_t busPatchId = p->ID0();
- Int_t manuId = p->ID1();
+// Int_t busPatchId = p->ID0();
+// Int_t manuId = p->ID1();
+ busPatchId = p->ID0();
+ manuId = p->ID1();
// read back pedestal from the other runs for the given (bupatch, manu)
for (Int_t i = 1; i < nEntries; ++i) {
}
// compute for each channel the gain parameters
- for ( Int_t channelId = 0; channelId < ped[0]->Size() ; ++channelId ) {
+// for ( Int_t channelId = 0; channelId < ped[0]->Size() ; ++channelId ) {
+ for ( channelId = 0; channelId < ped[0]->Size() ; ++channelId ) {
Int_t n = 0;
for (Int_t i = 0; i < nEntries; ++i) {
pedMean[i] = ped[i]->ValueAsDouble(channelId, 0);
pedSigma[i] = ped[i]->ValueAsDouble(channelId, 1);
injCharge[i] = (Double_t)run[i]->GetSecond();
- injChargeErr[i] = 1.;
+ injChargeErr[i] = 0.01*injCharge[i];
+ if(injChargeErr[i] <= 1.) injChargeErr[i]=1.;
+
+// if(n<2)cout << nEntries << " " << i << " " << injCharge[i] << endl;
+
+// cout << busPatchId << "\t" << manuId <<"\t"<< channelId << "\t" << n << " " << pedMean[i] << " " << pedSigma[i] << " " << injCharge[i] << " " << injChargeErr[i] << endl;
if (pedMean[i] < 0) continue; // not connected
n++;
}
- if (n > NFITPARAMS) {
- // if (n > 1) {
- //fit
- TGraph *gain = new TGraphErrors(n, pedMean, injCharge, pedSigma, injChargeErr);
- //should set some initial parameters
- func->SetParameter(0,-300); // a0
- func->SetParameter(1, 1.); // a1
- func->SetParameter(2, 0.00001);// a2
- func->SetParameter(3, 1100.); // xlim in ADC
-
- gain->Fit("func","q");
- cout << setw(8) << func->GetParameter(0) <<"\t"<< setw(8) << func->GetParameter(1) << endl;
-
- if (!flatOutputFile.IsNull()) {
- fileout << "\t" << busPatchId << "\t" << manuId <<"\t"<< channelId << "\t"
- << setw(8) << func->GetParameter(0) <<"\t"<< setw(8) << func->GetParameter(1)
- << setw(8) << func->GetParameter(2) <<"\t"<< setw(5) << func->GetParameter(3)
- << "\t" << func->GetChisquare() << endl;
+ // makegain (JLC)
+
+
+ // Fit Method: Linear fit over 6 points + fit parabolic function over 3 points)
+
+ // 1. - linear fit over 6 points
+
+ Double_t par[4] = {0.,0.,0.,gkADCMax};
+
+ Int_t nInit = 1;
+ Int_t nbs = nEntries - nInit;
+ Int_t nbpf1 = 6; // linear fit over nbf1 points
+
+ for (Int_t j = 0; j < nbs; ++j)
+ {
+ Int_t k = j + nInit;
+ x[j] = pedMean[k];
+ xErr[j] = pedSigma[k];
+ y[j] = injCharge[k];
+ yErr[j] = injChargeErr[k];
+
+ }
+
+ TGraph *graphErr = new TGraphErrors(nbpf1, x, y, xErr, yErr);
+
+ f1->SetParameters(0,0);
+
+ graphErr->Fit("f1","RQ");
+
+ chi2 = f1->GetChisquare();
+ f1->GetParameters(par);
+
+ prChi2 = TMath::Prob(chi2, nbpf1 - 2);
+
+ Double_t xLim = pedMean[nInit + nbpf1 - 1];
+ Double_t yLim = par[0]+par[1] * xLim;
+
+ a0 = par[0];
+ a1 = par[1];
+
+ delete graphErr;
+
+
+ // 2. - Translation : new origin (xLim, yLim) + parabolic fit over nbf2 points
+
+ Int_t nbpf2 = nEntries - (nInit + nbpf1) + 1;
+
+ if(nbpf2 > 1)
+ {
+ for (Int_t j = 0; j < nbpf2; ++j)
+ {
+ Int_t k = j + (nInit + nbpf1) - 1;
+ x[j] = pedMean[k] - xLim;
+ xErr[j] = pedSigma[k];
+
+ y[j] = injCharge[k] - yLim - par[1]*x[j];
+ yErr[j] = injChargeErr[k];
+
}
- delete gain;
+
+ TGraph *graphErr = new TGraphErrors(nbpf2, x, y, xErr, yErr);
+
+ graphErr->Fit(f2,"RQ");
+ chi2P2 = f2->GetChisquare();
+ f2->GetParameters(par);
+
+ prChi2P2 = TMath::Prob(chi2P2, nbpf2-1);
+
+ a2 = par[0];
+
+ par[0] = a0;
+ par[1] = a1;
+ par[2] = a2;
+ par[3] = xLim;
+
+ delete graphErr;
+
}
+ // Prints
+
+ Int_t p1 = TMath::Nint(ceil(prChi2*15));
+ Int_t p2 = TMath::Nint(ceil(prChi2P2*15));
+ Q = p1*16 + p2;
+
+ Double_t x0 = -par[0]/par[1]; // value of x corresponding to à 0 fC
+ threshold = TMath::Nint(ceil(par[3]-x0)); // linear if x < threshold
+
+ if(gPrintLevel==2)
+ {
+ fprintf(pfilen,"%4i %4i %2i",busPatchId,manuId,channelId);
+ fprintf(pfilen," %6.2f %6.4f %10.3e %4.2f %5.3f %5.3f %x\n",
+ par[0], par[1], par[2], par[3], prChi2, prChi2P2, Q);
+ }
+
+ // some tests
+
+ if(par[1]< goodA1Min || par[1]> goodA1Max )
+ {
+ if (gPrintLevel)
+ {
+ cout << " !!!!!!!!!!!!! Bad Calib.: BP= " << busPatchId << " Manu_Id= " << manuId <<
+ " Ch.= " << channelId << ":";
+ cout << " a1 = " << par[1] << " out of limit : [" << goodA1Min << "," << goodA1Max <<
+ "]" << endl;
+ }
+ Q=0;
+ nBadChannel++;
+ }
+ else if(par[2]< goodA2Min || par[2]> goodA2Max )
+ {
+ if (gPrintLevel)
+ {
+ cout << " !!!!!!!!!!!!! Bad Calib.: BP= " << busPatchId << " Manu_Id= " << manuId
+ << " Ch.= " << channelId << ":";
+ cout << " a2 = " << par[2] << " out of limit : [" << goodA2Min << "," << goodA2Max
+ << "]" << endl;
+ }
+ Q=0;
+ nBadChannel++;
+ }
+ else
+ {
+ sumProbChi2 += prChi2;
+ sumA1 += par[1];
+ sumProbChi2P2 += prChi2P2;
+ sumA2 += par[2];
+
+ if (gPrintLevel)
+ {
+ if(!p1)
+ {
+ cout << " ** Warning ** Bad Fit : BP= " << busPatchId << " Manu_Id= " << manuId
+ << "Ch.= " << channelId << ":";
+ cout << " a1 = " << par[1] << " P(chi2)_lin = " << prChi2 << endl ;
+ }
+ if(!p2)
+ {
+ cout << " ** Warning ** Bad Fit : BP= " << busPatchId << " Manu_Id= " << manuId
+ << " Ch.= " << channelId << ":";
+ cout << " a2 = " << par[2] << " P_(chi2)_parab = " << prChi2P2 << endl;
+ }
+ }
+ }
+
+ tg->Fill();
+
+ if (!flatOutputFile.IsNull())
+ {
+ fprintf(pfilew,"%4i %5i %2i %7.4f %10.3e %4i %2x\n",busPatchId,manuId,channelId,par[1],par[2],threshold,Q);
+ }
+
+ // Plots
+
+ if(gPlotLevel){
+ TF1 *f2Calib = new TF1("f2Calib",funcCalib,0.,gkADCMax,NFITPARAMS);
+
+ graphErr = new TGraphErrors(nEntries,pedMean,injCharge,pedSigma,injChargeErr);
+
+ sprintf(graphName,"BusPatch_%d_Manu_%d_Ch_%d",busPatchId, manuId,channelId);
+
+ graphErr->SetTitle(graphName);
+ graphErr->SetMarkerColor(3);
+ graphErr->SetMarkerStyle(12);
+ graphErr->Write(graphName);
+
+ sprintf(graphName,"f2_BusPatch_%d_Manu_%d_Ch_%d",busPatchId, manuId,channelId);
+ f2Calib->SetTitle(graphName);
+ f2Calib->SetLineColor(4);
+ f2Calib->SetParameters(par);
+ f2Calib->Write(graphName);
+
+ delete graphErr;
+ delete f2Calib;//LA
+ }
}
+ nmanu++;
}
// file outputs for gain
if (!flatOutputFile.IsNull())
- fileout.close();
+ fileout.close();
+
+ tg->Write();
+ histoFile->Close();
- delete func;
+ delete f1;
+ delete f2;
+ //OutPut
+ if (gPrintLevel)
+ {
+ cout << "\n Nb of Manu in raw data = " << nmanu << " (" << nmanu*64 << " channels)" << endl;
+ cout << "\n Nb of calibrated channels = " << nmanu*64 - nBadChannel << " (" << goodA1Min << "<a1<" << goodA1Max
+ << " and " << goodA2Min << "<a2<" << goodA2Max << ") " << endl;
+ cout << "\n Nb of UNcalibrated channels = " << nBadChannel << " (a1 or a2 out of range)\n" << endl;
+
+ Double_t meanA1 = sumA1/(nmanu*64 - nBadChannel);
+ Double_t meanProbChi2 = sumProbChi2/(nmanu*64 - nBadChannel);
+ Double_t meanA2 = sumA2/(nmanu*64 - nBadChannel);
+ Double_t meanProbChi2P2 = sumProbChi2P2/(nmanu*64 - nBadChannel);
+
+ Double_t capaManu = 0.2; // pF
+ cout << "\n linear fit : <a1> = " << meanA1 << "\t <gain> = " << 1./(meanA1*capaManu)
+ << " mV/fC (capa= " << capaManu << " pF)" << endl;
+ cout << " Prob(chi2)> = " << meanProbChi2 << endl;
+ cout << "\n parabolic fit: <a2> = " << meanA2 << endl;
+ cout << " Prob(chi2)> = " << meanProbChi2P2 << "\n" << endl;
+ }
}
//*************************************************************//
TFitter *minuitFit = new TFitter(NFITPARAMS);
TVirtualFitter::SetFitter(minuitFit);
- Int_t printLevel = 0; // Global variable defined as extern in the others .cxx files
Int_t skipEvents = 0;
Int_t maxEvents = 1000000;
+ Int_t MaxDateEvents = 1000000;
+ Int_t injCharge = 0;
Double_t nSigma = 3;
Int_t threshold = -1;
Char_t inputFile[256];
+ Char_t flatFile[256];
+
TString flatOutputFile;
TString crocusOutputFile;
TString crocusConfigFile;
break;
case 'e' :
i++;
- command = argv[i];
+ gCommand = argv[i];
break;
case 'd' :
i++;
- printLevel=atoi(argv[i]);
+ gPrintLevel=atoi(argv[i]);
+ break;
+ case 'g' :
+ i++;
+ gPlotLevel=atoi(argv[i]);
break;
case 's' :
i++;
skipEvents=atoi(argv[i]);
break;
+ case 'l' :
+ i++;
+ injCharge=atoi(argv[i]);
+ break;
+ case 'm' :
+ i++;
+ sscanf(argv[i],"%d",&MaxDateEvents);
+ break;
case 'n' :
i++;
sscanf(argv[i],"%d",&maxEvents);
i++;
sscanf(argv[i],"%lf",&nSigma);
break;
+ case 'r' :
+ i++;
+ sprintf(gHistoFileName_gain,argv[i]);
+ break;
case 't' :
i++;
sscanf(argv[i],"%d",&threshold);
printf("\n-o <CROUCUS cmd file> (default = %s)",crocusOutputFile.Data());
printf("\n");
printf("\n Options");
- printf("\n-d <print level> (default = %d)",printLevel);
+ printf("\n-d <print level> (default = %d)",gPrintLevel);
+ printf("\n-g <plot level> (default = %d)",gPlotLevel);
+ printf("\n-l <DAC level> (default = %d)",injCharge);
+ printf("\n-m <max date events> (default = %d)",MaxDateEvents);
printf("\n-s <skip events> (default = %d)",skipEvents);
printf("\n-n <max events> (default = %d)",maxEvents);
printf("\n-p <n sigmas> (default = %f)",nSigma);
+ printf("\n-r root file data for gain(default = %s)",gHistoFileName_gain);
printf("\n-t <threshold (-1 = no)> (default = %d)",threshold);
- printf("\n-e <execute ped/gain> (default = %s)",command.Data());
+ printf("\n-e <execute ped/gain> (default = %s)",gCommand.Data());
printf("\n-e <gain create> make gain & create a new root file");
printf("\n-e <gain> make gain & update root file");
printf("\n-e <gain compute> make gain & compute gains");
} // end of switch
} // end of for i
- // set command to lower case
- command.ToLower();
+ // set gCommand to lower case
+ gCommand.ToLower();
// decoding the events
void* event;
- pedMeanHisto = 0x0;
- pedSigmaHisto = 0x0;
+ gPedMeanHisto = 0x0;
+ gPedSigmaHisto = 0x0;
TStopwatch timers;
while(1)
{
- if (nEvents >= maxEvents) break;
- if (nEvents && nEvents % 100 == 0)
- cout<<"Cumulated events " << nEvents << endl;
+ if (gNDateEvents >= MaxDateEvents) break;
+ if (gNEvents >= maxEvents) break;
+ if (gNEvents && gNEvents % 100 == 0)
+ cout<<"Cumulated events " << gNEvents << endl;
// check shutdown condition
if (daqDA_checkShutdown())
break;
}
- nDateEvents++;
+ gNDateEvents++;
// decoding rawdata headers
AliRawReader *rawReader = new AliRawReaderDate(event);
Int_t eventType = rawReader->GetType();
- runNumber = rawReader->GetRunNumber();
+ gRunNumber = rawReader->GetRunNumber();
if (eventType != PHYSICS_EVENT)
continue; // for the moment
- nEvents++;
+ gNEvents++;
// decoding MUON payload
AliMUONRawStreamTracker* rawStream = new AliMUONRawStreamTracker(rawReader);
rawStream->First();
while( (status = rawStream->Next(busPatchId, manuId, channelId, charge)) ) {
- if (nEvents == 1)
- nChannel++;
+ if (gNEvents == 1)
+ gNChannel++;
- if (printLevel) printf("manuId: %d, channelId: %d charge: %d\n", manuId,
- channelId, charge);
+// if (gPrintLevel) printf("manuId: %d, channelId: %d charge: %d\n", manuId,
+// channelId, charge);
MakePed(busPatchId, (Int_t)manuId, (Int_t)channelId, (Int_t)charge);
} // while (1)
- if (command.CompareTo("ped") == 0)
- MakePedStore(flatOutputFile);
+
+ if (gCommand.CompareTo("ped") == 0)
+ {
+ // sprintf(flatOutputFile,"MuonTrkDA_%d.ped",gRunNumber);
+ sprintf(flatFile,"MuonTrkDA_%d_ped.ped",gRunNumber);
+ if(flatOutputFile.IsNull())flatOutputFile=flatFile;
+ MakePedStore(flatOutputFile);
+ }
+ else
+ {
+ if(flatOutputFile.IsNull())flatOutputFile="MuonTrkDA_gain.par";
+ }
// option gain -> update root file with pedestal results
// gain + create -> recreate root file
// gain + comp -> update root file and compute gain parameters
- if (command.Contains("gain"))
- MakePedStoreForGain();
+ if (gCommand.Contains("gain"))
+ MakePedStoreForGain(injCharge);
- if (command.Contains("comp"))
- MakeGainStore(flatOutputFile);
+ if (gCommand.Contains("comp"))
+ MakeGainStore(flatOutputFile);
- delete pedestalStore;
+ delete gPedestalStore;
delete minuitFit;
TVirtualFitter::SetFitter(0);
timers.Stop();
- if (!(crocusConfigFile.IsNull()))
- cout << "MUONTRKda : CROCUS command file generated : " << crocusOutputFile.Data() << endl;
+ if (gCommand.CompareTo("comp") != 0)
+ {
+ cout << "MUONTRKda : Nb of DATE events = " << gNDateEvents << endl;
+ cout << "MUONTRKda : Nb of events used = " << gNEvents << endl;
+ }
+ if (gCommand.CompareTo("ped") == 0)
+ {
+ if (!(crocusConfigFile.IsNull()))
+ cout << "MUONTRKda : CROCUS command file generated : " << crocusOutputFile.Data() << endl;
+ else
+ cout << "MUONTRKda : WARNING no CROCUS command file generated" << endl;
+ cout << "\nMUONTRKda : Histo file generated for pedestal : " << gHistoFileName << endl;
+ }
else
- cout << "MUONTRKda : WARNING no CROCUS command file generated" << endl;
-
- cout << "MUONTRKda : Flat ASCII file generated : " << flatOutputFile << endl;
- cout << "MUONTRKda : Histo file generated : " << histoFileName << endl;
- cout << "MUONTRKda : Nb of DATE events = " << nDateEvents << endl;
- cout << "MUONTRKda : Nb of events used = " << nEvents << endl;
+ {
+ cout << "\nMUONTRKda : Histo file generated for gain : " << gHistoFileName_gain << endl;
+ cout << "MUONTRKda : Root file generated : " << gRootFileName << endl;
+ }
- printf("Execution time : R:%7.2fs C:%7.2fs\n", timers.RealTime(), timers.CpuTime());
+ cout << "MUONTRKda : Flat ASCII file generated : " << flatOutputFile << endl;
+ printf("\nExecution time : R:%7.2fs C:%7.2fs\n", timers.RealTime(), timers.CpuTime());
return status;
}