// 2 - long pads
// Float_t z - drift length
//
-// Float_t angle -inclination angle at given dimension
+// Float_t angle - tangent of inclination angle at given dimension
//
// Implemented parameterization
//
// The angular and diffusion effect is scaling with pad length
// common parameterization for different pad length
//
+// 2. Error parameterization using charge
+// 2.a) GetErrorQ
+// GetError0+
+// adding 1/Q component to diffusion and angluar part
+// 2.b) GetErrorQPar
+// GetError0Par+
+// adding 1/Q component to diffusion and angluar part
+// 2.c) GetErrorQParScaled - Just for study
+// One parameterization for all pad shapes
+// Smaller precission as previous one
//
-// 1.d) GetErrorQ
-// 1.e) GetErrorQPar
-// 1.f) GetErrorQParScaled
-// //
-// //
+//
+// Example how to retrieve the paramterization:
+/*
+ AliCDBManager::Instance()->SetDefaultStorage("local://$ALICE_ROOT/OCDB");
+ AliCDBManager::Instance()->SetRun(0)
+ AliTPCClusterParam * param = AliTPCcalibDB::Instance()->GetClusterParam();
+
+ //
+ //
+ AliTPCClusterParam::SetInstance(param);
+ TF1 f1("f1","AliTPCClusterParam::SGetError0Par(1,0,x,0)",0,250);
+*/
+
+// EXAMPLE hot to create parameterization
+/*
+// Note resol is the resolution tree created by AliTPCcalibTracks
+//
+AliTPCClusterParam *param = new AliTPCClusterParam;
+param->FitData(Resol);
+AliTPCClusterParam::SetInstance(param);
+
+*/
+
+//
+// //
///////////////////////////////////////////////////////////////////////////////
#include "AliTPCClusterParam.h"
#include "TMath.h"
#include <TVectorF.h>
#include <TLinearFitter.h>
#include <TH1F.h>
+#include <TH3F.h>
#include <TProfile2D.h>
#include <TVectorD.h>
#include <TObjArray.h>
+#include "AliTPCcalibDB.h"
+#include "AliTPCParam.h"
+#include "THnBase.h"
+
+#include "AliMathBase.h"
ClassImp(AliTPCClusterParam)
}
+AliTPCClusterParam::AliTPCClusterParam():
+ TObject(),
+ fRatio(0),
+ fQNorm(0),
+ fQNormCorr(0),
+ fQNormHis(0),
+ fQpadTnorm(0), // q pad normalization - Total charge
+ fQpadMnorm(0), // q pad normalization - Max charge
+ fWaveCorrectionMap(0),
+ fWaveCorrectionMirroredPad( kFALSE ),
+ fWaveCorrectionMirroredZ( kFALSE ),
+ fWaveCorrectionMirroredAngle( kFALSE ),
+ fResolutionYMap(0)
+ //
+{
+ //
+ // Default constructor
+ //
+ fPosQTnorm[0] = 0; fPosQTnorm[1] = 0; fPosQTnorm[2] = 0;
+ fPosQMnorm[0] = 0; fPosQMnorm[1] = 0; fPosQMnorm[2] = 0;
+ //
+ fPosYcor[0] = 0; fPosYcor[1] = 0; fPosYcor[2] = 0;
+ fPosZcor[0] = 0; fPosZcor[1] = 0; fPosZcor[2] = 0;
+ fErrorRMSSys[0]=0; fErrorRMSSys[1]=0;
+}
+
+AliTPCClusterParam::AliTPCClusterParam(const AliTPCClusterParam& param):
+ TObject(param),
+ fRatio(0),
+ fQNorm(0),
+ fQNormCorr(0),
+ fQNormHis(0),
+ fQpadTnorm(new TVectorD(*(param.fQpadTnorm))), // q pad normalization - Total charge
+ fQpadMnorm(new TVectorD(*(param.fQpadMnorm))), // q pad normalization - Max charge
+ fWaveCorrectionMap(0),
+ fWaveCorrectionMirroredPad( kFALSE ),
+ fWaveCorrectionMirroredZ( kFALSE ),
+ fWaveCorrectionMirroredAngle( kFALSE ),
+ fResolutionYMap(0)
+{
+ //
+ // copy constructor
+ //
+ memcpy(this, ¶m,sizeof(AliTPCClusterParam));
+ if (param.fQNorm) fQNorm = (TObjArray*) param.fQNorm->Clone();
+ if (param.fQNormHis) fQNormHis = (TObjArray*) param.fQNormHis->Clone();
+ //
+ if (param.fPosQTnorm[0]){
+ fPosQTnorm[0] = new TVectorD(*(param.fPosQTnorm[0]));
+ fPosQTnorm[1] = new TVectorD(*(param.fPosQTnorm[1]));
+ fPosQTnorm[2] = new TVectorD(*(param.fPosQTnorm[2]));
+ //
+ fPosQMnorm[0] = new TVectorD(*(param.fPosQMnorm[0]));
+ fPosQMnorm[1] = new TVectorD(*(param.fPosQMnorm[1]));
+ fPosQMnorm[2] = new TVectorD(*(param.fPosQMnorm[2]));
+ }
+ if (param.fPosYcor[0]){
+ fPosYcor[0] = new TVectorD(*(param.fPosYcor[0]));
+ fPosYcor[1] = new TVectorD(*(param.fPosYcor[1]));
+ fPosYcor[2] = new TVectorD(*(param.fPosYcor[2]));
+ //
+ fPosZcor[0] = new TVectorD(*(param.fPosZcor[0]));
+ fPosZcor[1] = new TVectorD(*(param.fPosZcor[1]));
+ fPosZcor[2] = new TVectorD(*(param.fPosZcor[2]));
+ }
+ SetWaveCorrectionMap( param.fWaveCorrectionMap );
+ SetResolutionYMap( param.fResolutionYMap );
+}
+
+
+AliTPCClusterParam & AliTPCClusterParam::operator=(const AliTPCClusterParam& param){
+ //
+ // Assignment operator
+ //
+ if (this != ¶m) {
+ memcpy(this, ¶m,sizeof(AliTPCClusterParam));
+ if (param.fQNorm) fQNorm = (TObjArray*) param.fQNorm->Clone();
+ if (param.fQNormHis) fQNormHis = (TObjArray*) param.fQNormHis->Clone();
+ if (param.fPosQTnorm[0]){
+ fPosQTnorm[0] = new TVectorD(*(param.fPosQTnorm[0]));
+ fPosQTnorm[1] = new TVectorD(*(param.fPosQTnorm[1]));
+ fPosQTnorm[2] = new TVectorD(*(param.fPosQTnorm[2]));
+ //
+ fPosQMnorm[0] = new TVectorD(*(param.fPosQMnorm[0]));
+ fPosQMnorm[1] = new TVectorD(*(param.fPosQMnorm[1]));
+ fPosQMnorm[2] = new TVectorD(*(param.fPosQMnorm[2]));
+ }
+ if (param.fPosYcor[0]){
+ fPosYcor[0] = new TVectorD(*(param.fPosYcor[0]));
+ fPosYcor[1] = new TVectorD(*(param.fPosYcor[1]));
+ fPosYcor[2] = new TVectorD(*(param.fPosYcor[2]));
+ //
+ fPosZcor[0] = new TVectorD(*(param.fPosZcor[0]));
+ fPosZcor[1] = new TVectorD(*(param.fPosZcor[1]));
+ fPosZcor[2] = new TVectorD(*(param.fPosZcor[2]));
+ }
+ SetWaveCorrectionMap( param.fWaveCorrectionMap );
+ SetResolutionYMap( param.fResolutionYMap );
+ }
+ return *this;
+}
+
+
+AliTPCClusterParam::~AliTPCClusterParam(){
+ //
+ // destructor
+ //
+ if (fQNorm) fQNorm->Delete();
+ if (fQNormCorr) delete fQNormCorr;
+ if (fQNormHis) fQNormHis->Delete();
+ delete fQNorm;
+ delete fQNormHis;
+ if (fPosQTnorm[0]){
+ delete fPosQTnorm[0];
+ delete fPosQTnorm[1];
+ delete fPosQTnorm[2];
+ //
+ delete fPosQMnorm[0];
+ delete fPosQMnorm[1];
+ delete fPosQMnorm[2];
+ }
+ if (fPosYcor[0]){
+ delete fPosYcor[0];
+ delete fPosYcor[1];
+ delete fPosYcor[2];
+ //
+ delete fPosZcor[0];
+ delete fPosZcor[1];
+ delete fPosZcor[2];
+ }
+ delete fWaveCorrectionMap;
+ delete fResolutionYMap;
+}
void AliTPCClusterParam::FitResol0(TTree * tree, Int_t dim, Int_t type, Float_t *param0, Float_t *error){
// Fit z - angular dependence of resolution
//
// Int_t dim=0, type=0;
- char varVal[100];
- sprintf(varVal,"Resol:AngleM:Zm");
- char varErr[100];
- sprintf(varErr,"Sigma:AngleS:Zs");
- char varCut[100];
- sprintf(varCut,"Dim==%d&&Pad==%d&&QMean<0",dim,type);
- //
- Int_t entries = tree->Draw(varVal,varCut);
+ TString varVal;
+ varVal="Resol:AngleM:Zm";
+ TString varErr;
+ varErr="Sigma:AngleS:Zs";
+ TString varCut;
+ varCut=Form("Dim==%d&&Pad==%d&&QMean<0",dim,type);
+ //
+ Int_t entries = tree->Draw(varVal.Data(),varCut);
Float_t px[10000], py[10000], pz[10000];
Float_t ex[10000], ey[10000], ez[10000];
//
- tree->Draw(varErr,varCut);
+ tree->Draw(varErr.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
ex[ipoint]= tree->GetV3()[ipoint];
ey[ipoint]= tree->GetV2()[ipoint];
ez[ipoint]= tree->GetV1()[ipoint];
}
- tree->Draw(varVal,varCut);
+ tree->Draw(varVal.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
px[ipoint]= tree->GetV3()[ipoint];
py[ipoint]= tree->GetV2()[ipoint];
// Fit z - angular dependence of resolution
//
// Int_t dim=0, type=0;
- char varVal[100];
- sprintf(varVal,"Resol:AngleM:Zm");
- char varErr[100];
- sprintf(varErr,"Sigma:AngleS:Zs");
- char varCut[100];
- sprintf(varCut,"Dim==%d&&Pad==%d&&QMean<0",dim,type);
- //
- Int_t entries = tree->Draw(varVal,varCut);
+ TString varVal;
+ varVal="Resol:AngleM:Zm";
+ TString varErr;
+ varErr="Sigma:AngleS:Zs";
+ TString varCut;
+ varCut=Form("Dim==%d&&Pad==%d&&QMean<0",dim,type);
+ //
+ Int_t entries = tree->Draw(varVal.Data(),varCut);
Float_t px[10000], py[10000], pz[10000];
Float_t ex[10000], ey[10000], ez[10000];
//
- tree->Draw(varErr,varCut);
+ tree->Draw(varErr.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
ex[ipoint]= tree->GetV3()[ipoint];
ey[ipoint]= tree->GetV2()[ipoint];
ez[ipoint]= tree->GetV1()[ipoint];
}
- tree->Draw(varVal,varCut);
+ tree->Draw(varVal.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
px[ipoint]= tree->GetV3()[ipoint];
py[ipoint]= tree->GetV2()[ipoint];
// Fit z - angular dependence of resolution - pad length scaling
//
// Int_t dim=0, type=0;
- char varVal[100];
- sprintf(varVal,"Resol:AngleM*sqrt(Length):Zm/Length");
- char varErr[100];
- sprintf(varErr,"Sigma:AngleS:Zs");
- char varCut[100];
- sprintf(varCut,"Dim==%d&&QMean<0",dim);
- //
- Int_t entries = tree->Draw(varVal,varCut);
+ TString varVal;
+ varVal="Resol:AngleM*sqrt(Length):Zm/Length";
+ TString varErr;
+ varErr="Sigma:AngleS:Zs";
+ TString varCut;
+ varCut=Form("Dim==%d&&QMean<0",dim);
+ //
+ Int_t entries = tree->Draw(varVal.Data(),varCut);
Float_t px[10000], py[10000], pz[10000];
Float_t ex[10000], ey[10000], ez[10000];
//
- tree->Draw(varErr,varCut);
+ tree->Draw(varErr.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
ex[ipoint]= tree->GetV3()[ipoint];
ey[ipoint]= tree->GetV2()[ipoint];
ez[ipoint]= tree->GetV1()[ipoint];
}
- tree->Draw(varVal,varCut);
+ tree->Draw(varVal.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
px[ipoint]= tree->GetV3()[ipoint];
py[ipoint]= tree->GetV2()[ipoint];
// Fit z - angular dependence of resolution - Q scaling
//
// Int_t dim=0, type=0;
- char varVal[100];
- sprintf(varVal,"Resol:AngleM/sqrt(QMean):Zm/QMean");
+ TString varVal;
+ varVal="Resol:AngleM/sqrt(QMean):Zm/QMean";
char varVal0[100];
- sprintf(varVal0,"Resol:AngleM:Zm");
+ snprintf(varVal0,100,"Resol:AngleM:Zm");
//
- char varErr[100];
- sprintf(varErr,"Sigma:AngleS:Zs");
- char varCut[100];
- sprintf(varCut,"Dim==%d&&Pad==%d&&QMean>0",dim,type);
+ TString varErr;
+ varErr="Sigma:AngleS:Zs";
+ TString varCut;
+ varCut=Form("Dim==%d&&Pad==%d&&QMean>0",dim,type);
//
- Int_t entries = tree->Draw(varVal,varCut);
+ Int_t entries = tree->Draw(varVal.Data(),varCut);
Float_t px[20000], py[20000], pz[20000], pu[20000], pt[20000];
Float_t ex[20000], ey[20000], ez[20000];
//
- tree->Draw(varErr,varCut);
+ tree->Draw(varErr.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
ex[ipoint]= tree->GetV3()[ipoint];
ey[ipoint]= tree->GetV2()[ipoint];
ez[ipoint]= tree->GetV1()[ipoint];
}
- tree->Draw(varVal,varCut);
+ tree->Draw(varVal.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
px[ipoint]= tree->GetV3()[ipoint];
py[ipoint]= tree->GetV2()[ipoint];
// Fit z - angular dependence of resolution - Q scaling - parabolic correction
//
// Int_t dim=0, type=0;
- char varVal[100];
- sprintf(varVal,"Resol:AngleM/sqrt(QMean):Zm/QMean");
+ TString varVal;
+ varVal="Resol:AngleM/sqrt(QMean):Zm/QMean";
char varVal0[100];
- sprintf(varVal0,"Resol:AngleM:Zm");
+ snprintf(varVal0,100,"Resol:AngleM:Zm");
//
- char varErr[100];
- sprintf(varErr,"Sigma:AngleS:Zs");
- char varCut[100];
- sprintf(varCut,"Dim==%d&&Pad==%d&&QMean>0",dim,type);
+ TString varErr;
+ varErr="Sigma:AngleS:Zs";
+ TString varCut;
+ varCut=Form("Dim==%d&&Pad==%d&&QMean>0",dim,type);
//
- Int_t entries = tree->Draw(varVal,varCut);
+ Int_t entries = tree->Draw(varVal.Data(),varCut);
Float_t px[20000], py[20000], pz[20000], pu[20000], pt[20000];
Float_t ex[20000], ey[20000], ez[20000];
//
- tree->Draw(varErr,varCut);
+ tree->Draw(varErr.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
ex[ipoint]= tree->GetV3()[ipoint];
ey[ipoint]= tree->GetV2()[ipoint];
ez[ipoint]= tree->GetV1()[ipoint];
}
- tree->Draw(varVal,varCut);
+ tree->Draw(varVal.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
px[ipoint]= tree->GetV3()[ipoint];
py[ipoint]= tree->GetV2()[ipoint];
// Fit z - angular dependence of resolution
//
// Int_t dim=0, type=0;
- char varVal[100];
- sprintf(varVal,"RMSm:AngleM:Zm");
- char varErr[100];
- sprintf(varErr,"sqrt((1./(100.*sqrt(12.))^2)+RMSe0^2):AngleS:Zs");
- char varCut[100];
- sprintf(varCut,"Dim==%d&&Pad==%d&&QMean<0",dim,type);
- //
- Int_t entries = tree->Draw(varVal,varCut);
+ TString varVal;
+ varVal="RMSm:AngleM:Zm";
+ TString varErr;
+ varErr="sqrt((1./(100.*sqrt(12.))^2)+RMSe0^2):AngleS:Zs";
+ TString varCut;
+ varCut=Form("Dim==%d&&Pad==%d&&QMean<0",dim,type);
+ //
+ Int_t entries = tree->Draw(varVal.Data(),varCut);
Float_t px[10000], py[10000], pz[10000];
Float_t ex[10000], ey[10000], ez[10000];
//
- tree->Draw(varErr,varCut);
+ tree->Draw(varErr.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
ex[ipoint]= tree->GetV3()[ipoint];
ey[ipoint]= tree->GetV2()[ipoint];
ez[ipoint]= tree->GetV1()[ipoint];
}
- tree->Draw(varVal,varCut);
+ tree->Draw(varVal.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
px[ipoint]= tree->GetV3()[ipoint];
py[ipoint]= tree->GetV2()[ipoint];
// Fit z - angular dependence of resolution - pad length scaling
//
// Int_t dim=0, type=0;
- char varVal[100];
- sprintf(varVal,"RMSm:AngleM*Length:Zm");
- char varErr[100];
- sprintf(varErr,"sqrt((1./(100.*sqrt(12.))^2)+RMSe0^2):AngleS:Pad");
- char varCut[100];
- sprintf(varCut,"Dim==%d&&QMean<0",dim);
- //
- Int_t entries = tree->Draw(varVal,varCut);
+ TString varVal;
+ varVal="RMSm:AngleM*Length:Zm";
+ TString varErr;
+ varErr="sqrt((1./(100.*sqrt(12.))^2)+RMSe0^2):AngleS:Pad";
+ TString varCut;
+ varCut=Form("Dim==%d&&QMean<0",dim);
+ //
+ Int_t entries = tree->Draw(varVal.Data(),varCut);
Float_t px[10000], py[10000], pz[10000];
Float_t type[10000], ey[10000], ez[10000];
//
- tree->Draw(varErr,varCut);
+ tree->Draw(varErr.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
type[ipoint] = tree->GetV3()[ipoint];
ey[ipoint] = tree->GetV2()[ipoint];
ez[ipoint] = tree->GetV1()[ipoint];
}
- tree->Draw(varVal,varCut);
+ tree->Draw(varVal.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
px[ipoint]= tree->GetV3()[ipoint];
py[ipoint]= tree->GetV2()[ipoint];
// Fit z - angular dependence of resolution - Q scaling
//
// Int_t dim=0, type=0;
- char varVal[100];
- sprintf(varVal,"RMSm:AngleM/sqrt(QMean):Zm/QMean");
+ TString varVal;
+ varVal="RMSm:AngleM/sqrt(QMean):Zm/QMean";
char varVal0[100];
- sprintf(varVal0,"RMSm:AngleM:Zm");
+ snprintf(varVal0,100,"RMSm:AngleM:Zm");
//
- char varErr[100];
- sprintf(varErr,"sqrt((1./(100.*sqrt(12.))^2)+RMSe0^2):AngleS:Zs");
- char varCut[100];
- sprintf(varCut,"Dim==%d&&Pad==%d&&QMean>0",dim,type);
+ TString varErr;
+ varErr="sqrt((1./(100.*sqrt(12.))^2)+RMSe0^2):AngleS:Zs";
+ TString varCut;
+ varCut=Form("Dim==%d&&Pad==%d&&QMean>0",dim,type);
//
- Int_t entries = tree->Draw(varVal,varCut);
+ Int_t entries = tree->Draw(varVal.Data(),varCut);
Float_t px[20000], py[20000], pz[20000], pu[20000], pt[20000];
Float_t ex[20000], ey[20000], ez[20000];
//
- tree->Draw(varErr,varCut);
+ tree->Draw(varErr.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
ex[ipoint]= tree->GetV3()[ipoint];
ey[ipoint]= tree->GetV2()[ipoint];
ez[ipoint]= tree->GetV1()[ipoint];
}
- tree->Draw(varVal,varCut);
+ tree->Draw(varVal.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
px[ipoint]= tree->GetV3()[ipoint];
py[ipoint]= tree->GetV2()[ipoint];
// Fit z - angular dependence of resolution - Q scaling
//
// Int_t dim=0, type=0;
- char varVal[100];
- sprintf(varVal,"RMSs:RMSm");
+ TString varVal;
+ varVal="RMSs:RMSm";
//
- char varCut[100];
- sprintf(varCut,"Dim==%d&&Pad==%d&&QMean<0",dim,type);
+ TString varCut;
+ varCut=Form("Dim==%d&&Pad==%d&&QMean<0",dim,type);
//
- Int_t entries = tree->Draw(varVal,varCut);
+ Int_t entries = tree->Draw(varVal.Data(),varCut);
Float_t px[20000], py[20000];
//
- tree->Draw(varVal,varCut);
+ tree->Draw(varVal.Data(),varCut);
for (Int_t ipoint=0; ipoint<entries; ipoint++){
px[ipoint]= tree->GetV2()[ipoint];
py[ipoint]= tree->GetV1()[ipoint];
Float_t err = fRatio*px[ipoint];
Double_t x[4];
x[0] = px[ipoint];
- fitter.AddPoint(x,val,err);
+ if (err>0) fitter.AddPoint(x,val,err);
}
fitter.Eval();
param0[0]= fitter.GetParameter(0);
-Float_t AliTPCClusterParam::GetError0(Int_t dim, Int_t type, Float_t z, Float_t angle){
+Float_t AliTPCClusterParam::GetError0(Int_t dim, Int_t type, Float_t z, Float_t angle) const {
//
//
//
}
-Float_t AliTPCClusterParam::GetError0Par(Int_t dim, Int_t type, Float_t z, Float_t angle){
+Float_t AliTPCClusterParam::GetError0Par(Int_t dim, Int_t type, Float_t z, Float_t angle) const {
//
//
//
-Float_t AliTPCClusterParam::GetError1(Int_t dim, Int_t type, Float_t z, Float_t angle){
+Float_t AliTPCClusterParam::GetError1(Int_t dim, Int_t type, Float_t z, Float_t angle) const {
//
//
//
return value;
}
-Float_t AliTPCClusterParam::GetErrorQ(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean){
+Float_t AliTPCClusterParam::GetErrorQ(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean) const {
//
//
//
}
-Float_t AliTPCClusterParam::GetErrorQPar(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean){
+Float_t AliTPCClusterParam::GetErrorQPar(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean) const {
//
//
//
}
-Float_t AliTPCClusterParam::GetErrorQParScaled(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean){
+Float_t AliTPCClusterParam::GetErrorQParScaled(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean) const {
//
//
//
}
-Float_t AliTPCClusterParam::GetRMS0(Int_t dim, Int_t type, Float_t z, Float_t angle){
+Float_t AliTPCClusterParam::GetRMS0(Int_t dim, Int_t type, Float_t z, Float_t angle) const {
//
// calculate mean RMS of cluster - z,angle - parameters for each pad and dimension separatelly
//
return value;
}
-Float_t AliTPCClusterParam::GetRMS1(Int_t dim, Int_t type, Float_t z, Float_t angle){
+Float_t AliTPCClusterParam::GetRMS1(Int_t dim, Int_t type, Float_t z, Float_t angle) const {
//
// calculate mean RMS of cluster - z,angle - pad length scalling
//
return value;
}
-Float_t AliTPCClusterParam::GetRMSQ(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean){
+Float_t AliTPCClusterParam::GetRMSQ(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean) const {
//
// calculate mean RMS of cluster - z,angle, Q dependence
//
return value;
}
-Float_t AliTPCClusterParam::GetRMSSigma(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean){
+Float_t AliTPCClusterParam::GetRMSSigma(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean) const {
//
// calculates RMS of signal shape fluctuation
//
return value;
}
-Float_t AliTPCClusterParam::GetShapeFactor(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean, Float_t rmsL, Float_t rmsM){
+Float_t AliTPCClusterParam::GetShapeFactor(Int_t dim, Int_t type, Float_t z, Float_t angle, Float_t Qmean, Float_t rmsL, Float_t rmsM) const {
//
// calculates vallue - sigma distortion contribution
//
char hcut1[300];
char hexp1[300];
//
- sprintf(hname1,"Delta0 Dir %d Pad %d",idim,ipad);
- sprintf(hcut1,"Dim==%d&&QMean<0&&Pad==%d",idim,ipad);
- sprintf(hexp1,"(Resol-AliTPCClusterParam::SGetError0(Dim,Pad,Zm,AngleM))/Resol>>%s",hname1);
+ snprintf(hname1,300,"Delta0 Dir %d Pad %d",idim,ipad);
+ snprintf(hcut1,300,"Dim==%d&&QMean<0&&Pad==%d",idim,ipad);
+ snprintf(hexp1,300,"(Resol-AliTPCClusterParam::SGetError0(Dim,Pad,Zm,AngleM))/Resol>>%s",hname1);
TH1F his1DRel0(hname1, hname1, 100,-0.2, 0.2);
- sprintf(hname1,"Dim==%d&&QMean<0&&Pad=%d",idim,ipad);
+ snprintf(hname1,300,"Dim==%d&&QMean<0&&Pad=%d",idim,ipad);
tree->Draw(hexp1,hcut1,"");
his1DRel0.Write();
//
- sprintf(hname1,"Delta0Par Dir %d Pad %d",idim,ipad);
- sprintf(hcut1,"Dim==%d&&QMean<0&&Pad==%d",idim,ipad);
- sprintf(hexp1,"(Resol-AliTPCClusterParam::SGetError0Par(Dim,Pad,Zm,AngleM))/Resol>>%s",hname1);
+ snprintf(hname1,300,"Delta0Par Dir %d Pad %d",idim,ipad);
+ snprintf(hcut1,300,"Dim==%d&&QMean<0&&Pad==%d",idim,ipad);
+ snprintf(hexp1,300,"(Resol-AliTPCClusterParam::SGetError0Par(Dim,Pad,Zm,AngleM))/Resol>>%s",hname1);
TH1F his1DRel0Par(hname1, hname1, 100,-0.2, 0.2);
- sprintf(hname1,"Dim==%d&&QMean<0&&Pad=%d",idim,ipad);
+ snprintf(hname1,300,"Dim==%d&&QMean<0&&Pad=%d",idim,ipad);
tree->Draw(hexp1,hcut1,"");
his1DRel0Par.Write();
//
char hcut1[300];
char hexp1[300];
//
- sprintf(hname1,"2DDelta0 Dir %d Pad %d",idim,ipad);
- sprintf(hcut1,"Dim==%d&&QMean<0&&Pad==%d",idim,ipad);
- sprintf(hexp1,"(Resol-AliTPCClusterParam::SGetError0(Dim,Pad,Zm,AngleM))/Resol:AngleM:Zm>>%s",hname1);
+ snprintf(hname1,300,"2DDelta0 Dir %d Pad %d",idim,ipad);
+ snprintf(hcut1,300,"Dim==%d&&QMean<0&&Pad==%d",idim,ipad);
+ snprintf(hexp1,300,"(Resol-AliTPCClusterParam::SGetError0(Dim,Pad,Zm,AngleM))/Resol:AngleM:Zm>>%s",hname1);
TProfile2D profDRel0(hname1, hname1, 6,0,250,6,0,1);
- sprintf(hname1,"Dim==%d&&QMean<0&&Pad=%d",idim,ipad);
+ snprintf(hname1,300,"Dim==%d&&QMean<0&&Pad=%d",idim,ipad);
tree->Draw(hexp1,hcut1,"");
profDRel0.Write();
//
- sprintf(hname1,"2DDelta0Par Dir %d Pad %d",idim,ipad);
- sprintf(hcut1,"Dim==%d&&QMean<0&&Pad==%d",idim,ipad);
- sprintf(hexp1,"(Resol-AliTPCClusterParam::SGetError0Par(Dim,Pad,Zm,AngleM))/Resol:AngleM:Zm>>%s",hname1);
+ snprintf(hname1,300,"2DDelta0Par Dir %d Pad %d",idim,ipad);
+ snprintf(hcut1,300,"Dim==%d&&QMean<0&&Pad==%d",idim,ipad);
+ snprintf(hexp1,300,"(Resol-AliTPCClusterParam::SGetError0Par(Dim,Pad,Zm,AngleM))/Resol:AngleM:Zm>>%s",hname1);
TProfile2D profDRel0Par(hname1, hname1,6,0,250,6,0,1);
- sprintf(hname1,"Dim==%d&&QMean<0&&Pad=%d",idim,ipad);
+ snprintf(hname1,300,"Dim==%d&&QMean<0&&Pad=%d",idim,ipad);
tree->Draw(hexp1,hcut1,"");
profDRel0Par.Write();
//
// type - 0 Qtot 1 Qmax
// ipad - 0 (0.75 cm) ,1 (1 cm), 2 (1.5 cm)
//
- //expession formula - TString *strq0 = toolkit.FitPlane(chain,"dedxQ.fElements[2]","dr++ty++tz++dr*ty++dr*tz++ty*tz++ty^2++tz^2","IPad==0",chi2,npoints,param,covar,0,100000);
+ //expession formula - TString *strq0 = toolkit.FitPlane(chain,"dedxQ.fElements[2]","dr++ty++tz++dr*ty++dr*tz++++dr*dr++ty*tz++ty^2++tz^2","IPad==0",chi2,npoints,param,covar,0,100000);
- if (!fQNorm) return 0;
+ if (fQNorm==0) return 0;
TVectorD * norm = (TVectorD*)fQNorm->At(3*itype+ipad);
if (!norm) return 0;
TVectorD &no = *norm;
- Float_t res = no[0]+
+ Float_t res =
+ no[0]+
no[1]*dr+
no[2]*ty+
no[3]*tz+
-void AliTPCClusterParam::SetQnorm(Int_t ipad, Int_t itype, TVectorD * norm){
+Float_t AliTPCClusterParam::QnormHis(Int_t ipad, Int_t itype, Float_t dr, Float_t p2, Float_t p3){
+ // get Q normalization
+ // type - 0 Qtot 1 Qmax
+ // ipad - 0 (0.75 cm) ,1 (1 cm), 2 (1.5 cm)
+ //
+
+ if (fQNormHis==0) return 0;
+ TH3F * norm = (TH3F*)fQNormHis->At(4*itype+ipad);
+ if (!norm) return 1;
+ p2=TMath::Abs(p2);
+ dr=TMath::Min(dr,Float_t(norm->GetXaxis()->GetXmax()-norm->GetXaxis()->GetBinWidth(0)));
+ dr=TMath::Max(dr,Float_t(norm->GetXaxis()->GetXmin()+norm->GetXaxis()->GetBinWidth(0)));
+ //
+ p2=TMath::Min(p2,Float_t(norm->GetYaxis()->GetXmax()-norm->GetYaxis()->GetBinWidth(0)));
+ p2=TMath::Max(p2,Float_t(norm->GetYaxis()->GetXmin()+norm->GetYaxis()->GetBinWidth(0)));
+ //
+ p3=TMath::Min(p3,Float_t(norm->GetZaxis()->GetXmax()-norm->GetZaxis()->GetBinWidth(0)));
+ p3=TMath::Max(p3,Float_t(norm->GetZaxis()->GetXmin()+norm->GetZaxis()->GetBinWidth(0)));
+ //
+ Double_t res = norm->GetBinContent(norm->FindBin(dr,p2,p3));
+ if (res==0) res = norm->GetBinContent(norm->FindBin(0.5,0.5,0.5)); // This is just hack - to be fixed entries without
+
+ return res;
+}
+
+
+
+void AliTPCClusterParam::SetQnorm(Int_t ipad, Int_t itype, const TVectorD *const norm){
//
// set normalization
//
if (fQNorm==0) fQNorm = new TObjArray(6);
fQNorm->AddAt(new TVectorD(*norm), itype*3+ipad);
}
+
+void AliTPCClusterParam::ResetQnormCorr(){
+ //
+ //
+ //
+ if (!fQNormCorr) fQNormCorr= new TMatrixD(12,6);
+ for (Int_t irow=0;irow<12; irow++)
+ for (Int_t icol=0;icol<6; icol++){
+ (*fQNormCorr)(irow,icol)=1.; // default - no correction
+ if (irow>5) (*fQNormCorr)(irow,icol)=0.; // default - no correction
+ }
+}
+
+void AliTPCClusterParam::SetQnormCorr(Int_t ipad, Int_t itype, Int_t corrType, Float_t val){
+ //
+ // ipad - pad type
+ // itype - 0- qtot 1-qmax
+ // corrType - 0 - s0y corr - eff. PRF corr
+ // - 1 - s0z corr - eff. TRF corr
+ // - 2 - d0y - eff. diffusion correction y
+ // - 3 - d0z - eff. diffusion correction
+ // - 4 - eff length - eff.length - wire pitch + x diffsion
+ // - 5 - pad type normalization
+ if (!fQNormCorr) {
+ ResetQnormCorr();
+ }
+ //
+ // eff shap parameterization matrix
+ //
+ // rows
+ // itype*3+ipad - itype=0 qtot itype=1 qmax ipad=0
+ //
+ if (itype<2) (*fQNormCorr)(itype*3+ipad, corrType) *= val; // multiplicative correction
+ if (itype>=2) (*fQNormCorr)(itype*3+ipad, corrType)+= val; // additive correction
+}
+
+Double_t AliTPCClusterParam::GetQnormCorr(Int_t ipad, Int_t itype, Int_t corrType) const{
+ //
+ // see AliTPCClusterParam::SetQnormCorr
+ //
+ if (!fQNormCorr) return 0;
+ return (*fQNormCorr)(itype*3+ipad, corrType);
+}
+
+
+Float_t AliTPCClusterParam::QnormPos(Int_t ipad,Bool_t isMax, Float_t pad, Float_t time, Float_t z, Float_t sy2, Float_t sz2, Float_t qm, Float_t qt){
+ //
+ // Make Q normalization as function of following parameters
+ // Fit parameters to be used in corresponding correction function extracted in the AliTPCclaibTracksGain - Taylor expansion
+ // 1 - dp - relative pad position
+ // 2 - dt - relative time position
+ // 3 - di - drift length (norm to 1);
+ // 4 - dq0 - Tot/Max charge
+ // 5 - dq1 - Max/Tot charge
+ // 6 - sy - sigma y - shape
+ // 7 - sz - sigma z - shape
+ //
+
+ //The results can be visualized using the debug streamer information of the AliTPCcalibTracksGain -
+ // Following variable used - correspondance to the our variable conventions
+ //chain0->SetAlias("dp","((Cl.fPad-int(Cl.fPad)-0.5)/0.5)");
+ Double_t dp = ((pad-int(pad)-0.5)*2.);
+ //chain0->SetAlias("dt","((Cl.fTimeBin-int(Cl.fTimeBin)-0.5)/0.5)");
+ Double_t dt = ((time-int(time)-0.5)*2.);
+ //chain0->SetAlias("di","(sqrt(1.-abs(Cl.fZ)/250.))");
+ Double_t di = TMath::Sqrt(1-TMath::Abs(z)/250.);
+ //chain0->SetAlias("dq0","(0.2*(Cl.fQ+2)/(Cl.fMax+2))");
+ Double_t dq0 = 0.2*(qt+2.)/(qm+2.);
+ //chain0->SetAlias("dq1","(5*(Cl.fMax+2)/(Cl.fQ+2))");
+ Double_t dq1 = 5.*(qm+2.)/(qt+2.);
+ //chain0->SetAlias("sy","(0.32/sqrt(0.01^2+Cl.fSigmaY2))");
+ Double_t sy = 0.32/TMath::Sqrt(0.01*0.01+sy2);
+ //chain0->SetAlias("sz","(0.32/sqrt(0.01^2+Cl.fSigmaZ2))");
+ Double_t sz = 0.32/TMath::Sqrt(0.01*0.01+sz2);
+ //
+ //
+ //
+ TVectorD * pvec = 0;
+ if (isMax){
+ pvec = fPosQMnorm[ipad];
+ }else{
+ pvec = fPosQTnorm[ipad];
+ }
+ TVectorD ¶m = *pvec;
+ //
+ // Eval part - in correspondance with fit part from debug streamer
+ //
+ Double_t result=param[0];
+ Int_t index =1;
+ //
+ result+=dp*param[index++]; //1
+ result+=dt*param[index++]; //2
+ result+=dp*dp*param[index++]; //3
+ result+=dt*dt*param[index++]; //4
+ result+=dt*dt*dt*param[index++]; //5
+ result+=dp*dt*param[index++]; //6
+ result+=dp*dt*dt*param[index++]; //7
+ result+=(dq0)*param[index++]; //8
+ result+=(dq1)*param[index++]; //9
+ //
+ //
+ result+=dp*dp*(di)*param[index++]; //10
+ result+=dt*dt*(di)*param[index++]; //11
+ result+=dp*dp*sy*param[index++]; //12
+ result+=dt*sz*param[index++]; //13
+ result+=dt*dt*sz*param[index++]; //14
+ result+=dt*dt*dt*sz*param[index++]; //15
+ //
+ result+=dp*dp*1*sy*sz*param[index++]; //16
+ result+=dt*sy*sz*param[index++]; //17
+ result+=dt*dt*sy*sz*param[index++]; //18
+ result+=dt*dt*dt*sy*sz*param[index++]; //19
+ //
+ result+=dp*dp*(dq0)*param[index++]; //20
+ result+=dt*1*(dq0)*param[index++]; //21
+ result+=dt*dt*(dq0)*param[index++]; //22
+ result+=dt*dt*dt*(dq0)*param[index++]; //23
+ //
+ result+=dp*dp*(dq1)*param[index++]; //24
+ result+=dt*(dq1)*param[index++]; //25
+ result+=dt*dt*(dq1)*param[index++]; //26
+ result+=dt*dt*dt*(dq1)*param[index++]; //27
+
+ if (result<0.75) result=0.75;
+ if (result>1.25) result=1.25;
+
+ return result;
+
+}
+
+
+
+
+
+Float_t AliTPCClusterParam::PosCorrection(Int_t type, Int_t ipad, Float_t pad, Float_t time, Float_t z, Float_t /*sy2*/, Float_t /*sz2*/, Float_t /*qm*/){
+
+ //
+ // Make postion correction
+ // type - 0 - y correction
+ // 1 - z correction
+ // ipad - 0, 1, 2 - short, medium long pads
+ // pad - float pad number
+ // time - float time bin number
+ // z - z of the cluster
+
+ //
+ //chainres->SetAlias("dp","(-1+(Cl.fZ>0)*2)*((Cl.fPad-int(Cl.fPad))-0.5)");
+ //chainres->SetAlias("dt","(-1+(Cl.fZ>0)*2)*((Cl.fTimeBin-0.66-int(Cl.fTimeBin-0.66))-0.5)");
+ //chainres->SetAlias("sp","(sin(dp*pi)-dp*pi)");
+ //chainres->SetAlias("st","(sin(dt)-dt)");
+ //
+ //chainres->SetAlias("di","sqrt(1.-abs(Cl.fZ/250.))");
+
+ //
+ // Derived variables
+ //
+ Double_t dp = (-1+(z>0)*2)*((pad-int(pad))-0.5);
+ Double_t dt = (-1+(z>0)*2)*((time-0.66-int(time-0.66))-0.5);
+ Double_t sp = (TMath::Sin(dp*TMath::Pi())-dp*TMath::Pi());
+ Double_t st = (TMath::Sin(dt)-dt);
+ //
+ Double_t di = TMath::Sqrt(TMath::Abs(1.-TMath::Abs(z/250.)));
+ //
+ //
+ //
+ TVectorD * pvec = 0;
+ if (type==0){
+ pvec = fPosYcor[ipad];
+ }else{
+ pvec = fPosZcor[ipad];
+ }
+ TVectorD ¶m = *pvec;
+ //
+ Double_t result=0;
+ Int_t index =1;
+
+ if (type==0){
+ // y corr
+ result+=(dp)*param[index++]; //1
+ result+=(dp)*di*param[index++]; //2
+ //
+ result+=(sp)*param[index++]; //3
+ result+=(sp)*di*param[index++]; //4
+ }
+ if (type==1){
+ result+=(dt)*param[index++]; //1
+ result+=(dt)*di*param[index++]; //2
+ //
+ result+=(st)*param[index++]; //3
+ result+=(st)*di*param[index++]; //4
+ }
+ if (TMath::Abs(result)>0.05) return 0;
+ return result;
+}
+
+
+
+Double_t AliTPCClusterParam::GaussConvolution(Double_t x0, Double_t x1, Double_t k0, Double_t k1, Double_t s0, Double_t s1){
+ //
+ // 2 D gaus convoluted with angular effect
+ // See in mathematica:
+ //Simplify[Integrate[Exp[-(x0-k0*xd)*(x0-k0*xd)/(2*s0*s0)-(x1-k1*xd)*(x1-k1*xd)/(2*s1*s1)]/(s0*s1),{xd,-1/2,1/2}]]
+ //
+ //TF1 f1("f1","AliTPCClusterParam::GaussConvolution(x,0,1,0,0.1,0.1)",-2,2)
+ //TF2 f2("f2","AliTPCClusterParam::GaussConvolution(x,y,1,1,0.1,0.1)",-2,2,-2,2)
+ //
+ const Double_t kEpsilon = 0.0001;
+ const Double_t twoPi = TMath::TwoPi();
+ const Double_t hnorm = 0.5/TMath::Sqrt(twoPi);
+ const Double_t sqtwo = TMath::Sqrt(2.);
+
+ if ((TMath::Abs(k0)+TMath::Abs(k1))<kEpsilon*(s0+s1)){
+ // small angular effect
+ Double_t val = TMath::Gaus(x0,0,s0)*TMath::Gaus(x1,0,s1)/(s0*s1*twoPi);
+ return val;
+ }
+ Double_t sigma2 = k1*k1*s0*s0+k0*k0*s1*s1;
+ Double_t sigma = TMath::Sqrt(sigma2);
+ Double_t exp0 = TMath::Exp(-(k1*x0-k0*x1)*(k1*x0-k0*x1)/(2.*sigma2));
+ //
+ Double_t sigmaErf = 1./(2.*s0*s1*sqtwo*sigma);
+ Double_t k0s1s1 = 2.*k0*s1*s1;
+ Double_t k1s0s0 = 2.*k1*s0*s0;
+ Double_t erf0 = AliMathBase::ErfFast((sigma2-k0s1s1*x0-k1s0s0*x1)*sigmaErf);
+ Double_t erf1 = AliMathBase::ErfFast((sigma2+k0s1s1*x0+k1s0s0*x1)*sigmaErf);
+ Double_t norm = hnorm/sigma;
+ Double_t val = norm*exp0*(erf0+erf1);
+ return val;
+}
+
+
+Double_t AliTPCClusterParam::GaussConvolutionTail(Double_t x0, Double_t x1, Double_t k0, Double_t k1, Double_t s0, Double_t s1, Double_t tau){
+ //
+ // 2 D gaus convoluted with angular effect and exponential tail in z-direction
+ // tail integrated numerically
+ // Integral normalized to one
+ // Mean at 0
+ //
+ // TF1 f1t("f1t","AliTPCClusterParam::GaussConvolutionTail(0,x,0,0,0.5,0.5,0.9)",-5,5)
+ Double_t sum =1, mean=0;
+ // the COG of exponent
+ for (Float_t iexp=0;iexp<5;iexp+=0.2){
+ mean+=iexp*TMath::Exp(-iexp/tau);
+ sum +=TMath::Exp(-iexp/tau);
+ }
+ mean/=sum;
+ //
+ sum = 1;
+ Double_t val = GaussConvolution(x0,x1+mean, k0, k1 , s0,s1);
+ for (Float_t iexp=0;iexp<5;iexp+=0.2){
+ val+=GaussConvolution(x0,x1+mean-iexp, k0, k1 , s0,s1)*TMath::Exp(-iexp/tau);
+ sum+=TMath::Exp(-iexp/tau);
+ }
+ return val/sum;
+}
+
+Double_t AliTPCClusterParam::GaussConvolutionGamma4(Double_t x0, Double_t x1, Double_t k0, Double_t k1, Double_t s0, Double_t s1, Double_t tau){
+ //
+ // 2 D gaus convoluted with angular effect and exponential tail in z-direction
+ // tail integrated numerically
+ // Integral normalized to one
+ // Mean at 0
+ //
+ // TF1 f1g4("f1g4","AliTPCClusterParam::GaussConvolutionGamma4(0,x,0,0,0.5,0.2,1.6)",-5,5)
+ // TF2 f2g4("f2g4","AliTPCClusterParam::GaussConvolutionGamma4(y,x,0,0,0.5,0.2,1.6)",-5,5,-5,5)
+ Double_t sum =0, mean=0;
+ // the COG of G4
+ for (Float_t iexp=0;iexp<5;iexp+=0.2){
+ Double_t g4 = TMath::Exp(-4.*iexp/tau)*TMath::Power(iexp/tau,4.);
+ mean+=iexp*g4;
+ sum +=g4;
+ }
+ mean/=sum;
+ //
+ sum = 0;
+ Double_t val = 0;
+ for (Float_t iexp=0;iexp<5;iexp+=0.2){
+ Double_t g4 = TMath::Exp(-4.*iexp/tau)*TMath::Power(iexp/tau,4.);
+ val+=GaussConvolution(x0,x1+mean-iexp, k0, k1 , s0,s1)*g4;
+ sum+=g4;
+ }
+ return val/sum;
+}
+
+Double_t AliTPCClusterParam::QmaxCorrection(Int_t sector, Int_t row, Float_t cpad, Float_t ctime, Float_t ky, Float_t kz, Float_t rmsy0, Float_t rmsz0, Float_t effPad, Float_t effDiff){
+ //
+ //
+ // cpad - pad (y) coordinate
+ // ctime - time(z) coordinate
+ // ky - dy/dx
+ // kz - dz/dx
+ // rmsy0 - RF width in pad units
+ // rmsz0 - RF width in time bin units
+ // effLength - contibution of PRF and diffusion
+ // effDiff - overwrite diffusion
+
+ // Response function aproximated by convolution of gaussian with angular effect (integral=1)
+ //
+ // Gaus width sy and sz is determined by RF width and diffusion
+ // Integral of Q is equal 1
+ // Q max is calculated at position cpad, ctime
+ // Example function:
+ // TF1 f1("f1", "AliTPCClusterParam::QmaxCorrection(0,0.5,x,0,0,0.5,0.6)",0,1000)
+ //
+ AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
+ Double_t padLength= param->GetPadPitchLength(sector,row);
+ Double_t padWidth = param->GetPadPitchWidth(sector);
+ Double_t zwidth = param->GetZWidth();
+ Double_t effLength= padLength+(param->GetWWPitch(0)+TMath::Sqrt(ctime*zwidth)*param->GetDiffT())*effPad;
+
+ // diffusion in pad, time bin units
+ Double_t diffT=TMath::Sqrt(ctime*zwidth)*param->GetDiffT()/padWidth;
+ Double_t diffL=TMath::Sqrt(ctime*zwidth)*param->GetDiffL()/zwidth;
+ diffT*=effDiff; //
+ diffL*=effDiff; //
+ //
+ // transform angular effect to pad units
+ //
+ Double_t pky = ky*effLength/padWidth;
+ Double_t pkz = kz*effLength/zwidth;
+ // position in pad unit
+ Double_t py = (cpad+0.5)-TMath::Nint(cpad+0.5);
+ Double_t pz = (ctime+0.5)-TMath::Nint(ctime+0.5);
+ //
+ //
+ Double_t sy = TMath::Sqrt(rmsy0*rmsy0+diffT*diffT);
+ Double_t sz = TMath::Sqrt(rmsz0*rmsz0+diffL*diffL);
+ //return GaussConvolutionGamma4(py,pz, pky,pkz,sy,sz,tau);
+ Double_t length = padLength*TMath::Sqrt(1+ky*ky+kz*kz);
+ return GaussConvolution(py,pz, pky,pkz,sy,sz)*length;
+}
+
+Double_t AliTPCClusterParam::QtotCorrection(Int_t sector, Int_t row, Float_t cpad, Float_t ctime, Float_t ky, Float_t kz, Float_t rmsy0, Float_t rmsz0, Float_t qtot, Float_t thr, Float_t effPad, Float_t effDiff){
+ //
+ //
+ // cpad - pad (y) coordinate
+ // ctime - time(z) coordinate
+ // ky - dy/dx
+ // kz - dz/dx
+ // rmsy0 - RF width in pad units
+ // rmsz0 - RF width in time bin units
+ // qtot - the sum of signal in cluster - without thr correction
+ // thr - threshold
+ // effLength - contibution of PRF and diffusion
+ // effDiff - overwrite diffusion
+
+ // Response function aproximated by convolution of gaussian with angular effect (integral=1)
+ //
+ // Gaus width sy and sz is determined by RF width and diffusion
+ // Integral of Q is equal 1
+ // Q max is calculated at position cpad, ctime
+ //
+ //
+ //
+ AliTPCParam * param = AliTPCcalibDB::Instance()->GetParameters();
+ Double_t padLength= param->GetPadPitchLength(sector,row);
+ Double_t padWidth = param->GetPadPitchWidth(sector);
+ Double_t zwidth = param->GetZWidth();
+ Double_t effLength= padLength+(param->GetWWPitch(0)+TMath::Sqrt(ctime*zwidth)*param->GetDiffT())*effPad;
+ //
+ // diffusion in pad units
+ Double_t diffT=TMath::Sqrt(ctime*zwidth)*param->GetDiffT()/padWidth;
+ Double_t diffL=TMath::Sqrt(ctime*zwidth)*param->GetDiffL()/zwidth;
+ diffT*=effDiff; //
+ diffL*=effDiff; //
+ //
+ // transform angular effect to pad units
+ Double_t pky = ky*effLength/padWidth;
+ Double_t pkz = kz*effLength/zwidth;
+ // position in pad unit
+ //
+ Double_t py = (cpad+0.5)-TMath::Nint(cpad+0.5);
+ Double_t pz = (ctime+0.5)-TMath::Nint(ctime+0.5);
+ //
+ Double_t sy = TMath::Sqrt(rmsy0*rmsy0+diffT*diffT);
+ Double_t sz = TMath::Sqrt(rmsz0*rmsz0+diffL*diffL);
+ //
+ //
+ //
+ Double_t sumAll=0,sumThr=0;
+ //
+ Double_t corr =1;
+ Double_t qnorm=qtot;
+ for (Float_t iy=-3;iy<=3;iy+=1.)
+ for (Float_t iz=-4;iz<=4;iz+=1.){
+ // Double_t val = GaussConvolutionGamma4(py-iy,pz-iz, pky,pkz, sy,sz,tau);
+ Double_t val = GaussConvolution(py-iy,pz-iz, pky,pkz, sy,sz);
+ Double_t qlocal =qnorm*val;
+ if (TMath::Abs(iy)<1.5&&TMath::Abs(iz)<1.5){
+ sumThr+=qlocal; // Virtual charge used in cluster finder
+ }
+ else{
+ if (qlocal>thr && TMath::Abs(iz)<2.5&&TMath::Abs(iy)<2.5) sumThr+=qlocal;
+ }
+ sumAll+=qlocal;
+ }
+ if (sumAll>0&&sumThr>0) {
+ corr=(sumThr)/sumAll;
+ }
+ //
+ Double_t length = padLength*TMath::Sqrt(1+ky*ky+kz*kz);
+ return corr*length;
+}
+
+
+
+void AliTPCClusterParam::SetWaveCorrectionMap( THnBase *Map)
+{
+ //
+ // Set Correction Map for Y
+ //
+ delete fWaveCorrectionMap;
+ fWaveCorrectionMap = 0;
+ fWaveCorrectionMirroredPad = kFALSE;
+ fWaveCorrectionMirroredZ = kFALSE;
+ fWaveCorrectionMirroredAngle = kFALSE;
+ if( Map ){
+ fWaveCorrectionMap = dynamic_cast<THnBase*>( Map->Clone(Map->GetName()));
+ if( fWaveCorrectionMap ){
+ fWaveCorrectionMirroredPad = ( fWaveCorrectionMap->GetAxis(3)->FindFixBin(0.5)<=1 ); // Pad axis is mirrored at 0.5
+ fWaveCorrectionMirroredZ = ( fWaveCorrectionMap->GetAxis(1)->FindFixBin(0)<=1); // Z axis is mirrored at 0
+ fWaveCorrectionMirroredAngle = ( fWaveCorrectionMap->GetAxis(4)->FindFixBin(0.0)<=1 ); // Angle axis is mirrored at 0
+ }
+ }
+}
+
+void AliTPCClusterParam::SetResolutionYMap( THnBase *Map)
+{
+ //
+ // Set Resolution Map for Y
+ //
+ delete fResolutionYMap;
+ fResolutionYMap = 0;
+ if( Map ){
+ fResolutionYMap = dynamic_cast<THnBase*>( Map->Clone(Map->GetName()));
+ }
+}
+
+Float_t AliTPCClusterParam::GetWaveCorrection(Int_t Type, Float_t Z, Int_t QMax, Float_t Pad, Float_t angleY ) const
+{
+ //
+ // Correct Y cluster coordinate using a map
+ //
+
+ if( !fWaveCorrectionMap ) return 0;
+ Bool_t swapY = kFALSE;
+ Pad = Pad-(Int_t)Pad;
+
+ if( TMath::Abs(Pad-0.5)<1.e-8 ){// one pad clusters a stored in underflow bins
+ Pad = -1.;
+ } else {
+ if( fWaveCorrectionMirroredPad && (Pad<0.5) ){ // cog axis is mirrored at 0.5
+ swapY = !swapY;
+ Pad = 1.0 - Pad;
+ }
+ }
+
+ if( fWaveCorrectionMirroredZ && (Z<0) ){ // Z axis is mirrored at 0
+ swapY = !swapY;
+ Z = -Z;
+ }
+
+ if( fWaveCorrectionMirroredAngle && (angleY<0) ){ // Angle axis is mirrored at 0
+ angleY = -angleY;
+ }
+ double var[5] = { Type, Z, QMax, Pad, angleY };
+ Long64_t bin = fWaveCorrectionMap->GetBin(var, kFALSE );
+ if( bin<0 ) return 0;
+ Double_t dY = fWaveCorrectionMap->GetBinContent(bin);
+ return (swapY ?-dY :dY);
+}
+
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff