DeDxTools Namespace Reference

Functions
void	buildDiscrimMap (edm::Run const &run, const edm::EventSetup &iSetup, std::string Reccord, std::string ProbabilityMode, TH3F *&Prob_ChargePath)
int	getCharge (const SiStripCluster *cluster, int &nSatStrip, const GeomDetUnit &detUnit, const std::vector< std::vector< float > > &calibGains, const unsigned int &m_off)
bool	IsFarFromBorder (const TrajectoryStateOnSurface &trajState, const GeomDetUnit *it)
bool	IsSpanningOver2APV (unsigned int FirstStrip, unsigned int ClusterSize)
void	makeCalibrationMap (const std::string &m_calibrationPath, const TrackerGeometry &tkGeom, std::vector< std::vector< float > > &calibGains, const unsigned int &m_off)
bool	shapeSelection (const SiStripCluster &ampls)

Function Documentation

void DeDxTools::buildDiscrimMap	(	edm::Run const &	run,
		const edm::EventSetup &	iSetup,
		std::string	Reccord,
		std::string	ProbabilityMode,
		TH3F *&	Prob_ChargePath
	)

Definition at line 221 of file DeDxTools.cc.

References Exception, edm::EventSetup::get(), i, j, relval_steps::k, prof2calltree::l, tmp, SiStripMonitorClusterAlca_cfi::xmax, SiStripMonitorClusterAlca_cfi::xmin, SiStripMonitorClusterAlca_cfi::ymax, SiStripMonitorClusterAlca_cfi::ymin, SiStripMonitorClusterAlca_cfi::zmax, and SiStripMonitorClusterAlca_cfi::zmin.

Referenced by ASmirnovDeDxDiscriminator::beginRun(), SmirnovDeDxDiscriminator::beginRun(), ProductDeDxDiscriminator::beginRun(), and BTagLikeDeDxDiscriminator::beginRun().

{
   edm::ESHandle<PhysicsTools::Calibration::HistogramD3D> deDxMapHandle;    
   if(      strcmp(Reccord.c_str(),"SiStripDeDxMip_3D_Rcd")==0){
      iSetup.get<SiStripDeDxMip_3D_Rcd>() .get(deDxMapHandle);
   }else if(strcmp(Reccord.c_str(),"SiStripDeDxPion_3D_Rcd")==0){
      iSetup.get<SiStripDeDxPion_3D_Rcd>().get(deDxMapHandle);
   }else if(strcmp(Reccord.c_str(),"SiStripDeDxKaon_3D_Rcd")==0){
      iSetup.get<SiStripDeDxKaon_3D_Rcd>().get(deDxMapHandle);
   }else if(strcmp(Reccord.c_str(),"SiStripDeDxProton_3D_Rcd")==0){
      iSetup.get<SiStripDeDxProton_3D_Rcd>().get(deDxMapHandle);
   }else if(strcmp(Reccord.c_str(),"SiStripDeDxElectron_3D_Rcd")==0){
      iSetup.get<SiStripDeDxElectron_3D_Rcd>().get(deDxMapHandle);
   }else{
      throw cms::Exception("WrongReccord for dEdx") << "The reccord : " << Reccord << "is unknown\n";
   }

   float xmin = deDxMapHandle->rangeX().min;
   float xmax = deDxMapHandle->rangeX().max;
   float ymin = deDxMapHandle->rangeY().min;
   float ymax = deDxMapHandle->rangeY().max;
   float zmin = deDxMapHandle->rangeZ().min;
   float zmax = deDxMapHandle->rangeZ().max;

   if(Prob_ChargePath)delete Prob_ChargePath;
   Prob_ChargePath  = new TH3F ("Prob_ChargePath"     , "Prob_ChargePath" , deDxMapHandle->numberOfBinsX(), xmin, xmax, deDxMapHandle->numberOfBinsY() , ymin, ymax, deDxMapHandle->numberOfBinsZ(), zmin, zmax);

   if(strcmp(ProbabilityMode.c_str(),"Accumulation")==0){
      for(int i=0;i<=Prob_ChargePath->GetXaxis()->GetNbins()+1;i++){
         for(int j=0;j<=Prob_ChargePath->GetYaxis()->GetNbins()+1;j++){
            float Ni = 0;
            for(int k=0;k<=Prob_ChargePath->GetZaxis()->GetNbins()+1;k++){ Ni+=deDxMapHandle->binContent(i,j,k);} 
            for(int k=0;k<=Prob_ChargePath->GetZaxis()->GetNbins()+1;k++){
               float tmp = 0;
               for(int l=0;l<=k;l++){ tmp+=deDxMapHandle->binContent(i,j,l);}
               if(Ni>0){
                  Prob_ChargePath->SetBinContent (i, j, k, tmp/Ni);
           }else{
                  Prob_ChargePath->SetBinContent (i, j, k, 0);
           }
            }
         }
      }
   }else if(strcmp(ProbabilityMode.c_str(),"Integral")==0){
      for(int i=0;i<=Prob_ChargePath->GetXaxis()->GetNbins()+1;i++){
         for(int j=0;j<=Prob_ChargePath->GetYaxis()->GetNbins()+1;j++){
            float Ni = 0;
            for(int k=0;k<=Prob_ChargePath->GetZaxis()->GetNbins()+1;k++){ Ni+=deDxMapHandle->binContent(i,j,k);}
            for(int k=0;k<=Prob_ChargePath->GetZaxis()->GetNbins()+1;k++){
               float tmp = deDxMapHandle->binContent(i,j,k);
               if(Ni>0){
                  Prob_ChargePath->SetBinContent (i, j, k, tmp/Ni);
               }else{
                  Prob_ChargePath->SetBinContent (i, j, k, 0);
               }
            }
         }
      }   
   }else{
      throw cms::Exception("WrongConfig for dEdx") << "The ProbabilityMode: " << ProbabilityMode << "is unknown\n";
   }
}

int DeDxTools::getCharge	(	const SiStripCluster *	cluster,
		int &	nSatStrip,
		const GeomDetUnit &	detUnit,
		const std::vector< std::vector< float > > &	calibGains,
		const unsigned int &	m_off
	)

Definition at line 161 of file DeDxTools.cc.

References SiStripCluster::amplitudes(), RecoTauCleanerPlugins::charge, SiStripCluster::firstStrip(), i, and GeomDet::index().

Referenced by DeDxDiscriminatorLearner::processHit(), HSCPDeDxInfoProducer::processHit(), DeDxHitInfoProducer::processHit(), DeDxEstimatorProducer::processHit(), and TrackFitter::run().

{
   const auto &  Ampls       = cluster->amplitudes();

   nSatStrip = 0;
   int charge = 0;

   if ( calibGains.empty() ) {
     for(unsigned int i=0;i<Ampls.size();i++){
       int calibratedCharge = Ampls[i];
       charge+=calibratedCharge;
       if(calibratedCharge>=254)nSatStrip++;
     }
   }
   else{
     for(unsigned int i=0;i<Ampls.size();i++){
       int calibratedCharge = Ampls[i];
       
       auto & gains     = calibGains[detUnit.index()-m_off];
       calibratedCharge = (int)(calibratedCharge / gains[(cluster->firstStrip()+i)/128] );
       if ( calibratedCharge>=255 ) {
     if ( calibratedCharge>=1025 )
       calibratedCharge=255;
     else
       calibratedCharge=254;
       }
       
       charge+=calibratedCharge;
       if(calibratedCharge>=254)nSatStrip++;
     }
   }
   return charge;
}

bool DeDxTools::IsFarFromBorder	(	const TrajectoryStateOnSurface &	trajState,
		const GeomDetUnit *	it
	)

Definition at line 311 of file DeDxTools.cc.

References Surface::bounds(), Bounds::length(), TrajectoryStateOnSurface::localError(), TrajectoryStateOnSurface::localPosition(), Parameters::parameters, LocalTrajectoryError::positionError(), GeomDet::surface(), and LocalError::yy().

Referenced by DeDxDiscriminatorLearner::processHit().

{
  if (dynamic_cast<const StripGeomDetUnit*>(it)==0 && dynamic_cast<const PixelGeomDetUnit*>(it)==0) {
     edm::LogInfo("DeDxTools::IsFarFromBorder") << "this detID doesn't seem to belong to the Tracker" << std::endl;
     return false;
  }

  LocalPoint  HitLocalPos   = trajState.localPosition();
  LocalError  HitLocalError = trajState.localError().positionError() ;

  const BoundPlane plane = it->surface();
  const TrapezoidalPlaneBounds* trapezoidalBounds( dynamic_cast<const TrapezoidalPlaneBounds*>(&(plane.bounds())));
  const RectangularPlaneBounds* rectangularBounds( dynamic_cast<const RectangularPlaneBounds*>(&(plane.bounds())));

  double DistFromBorder = 1.0;
  //double HalfWidth      = it->surface().bounds().width()  /2.0;
  double HalfLength     = it->surface().bounds().length() /2.0;

  if(trapezoidalBounds)
  {
      std::array<const float, 4> const & parameters = (*trapezoidalBounds).parameters();
     HalfLength     = parameters[3];
     //double t       = (HalfLength + HitLocalPos.y()) / (2*HalfLength) ;
     //HalfWidth      = parameters[0] + (parameters[1]-parameters[0]) * t;
  }else if(rectangularBounds){
     //HalfWidth      = it->surface().bounds().width()  /2.0;
     HalfLength     = it->surface().bounds().length() /2.0;
  }else{return false;}

//  if (fabs(HitLocalPos.x())+HitLocalError.xx() >= (HalfWidth  - DistFromBorder) ) return false;//Don't think is really necessary
  if (fabs(HitLocalPos.y())+HitLocalError.yy() >= (HalfLength - DistFromBorder) ) return false;

  return true;
}

bool DeDxTools::IsSpanningOver2APV	(	unsigned int	FirstStrip,
		unsigned int	ClusterSize
	)

Definition at line 286 of file DeDxTools.cc.

Referenced by DeDxDiscriminatorLearner::processHit().

{  
   if(FirstStrip==0                                ) return true;
   if(FirstStrip==128                              ) return true;
   if(FirstStrip==256                              ) return true;
   if(FirstStrip==384                              ) return true;
   if(FirstStrip==512                              ) return true;
   if(FirstStrip==640                              ) return true;

   if(FirstStrip<=127 && FirstStrip+ClusterSize>127) return true;
   if(FirstStrip<=255 && FirstStrip+ClusterSize>255) return true;
   if(FirstStrip<=383 && FirstStrip+ClusterSize>383) return true;
   if(FirstStrip<=511 && FirstStrip+ClusterSize>511) return true;
   if(FirstStrip<=639 && FirstStrip+ClusterSize>639) return true;
   
   if(FirstStrip+ClusterSize==127                  ) return true;
   if(FirstStrip+ClusterSize==255                  ) return true;
   if(FirstStrip+ClusterSize==383                  ) return true;
   if(FirstStrip+ClusterSize==511                  ) return true;
   if(FirstStrip+ClusterSize==639                  ) return true;
   if(FirstStrip+ClusterSize==767                  ) return true;
   
   return false;
}

void DeDxTools::makeCalibrationMap	(	const std::string &	m_calibrationPath,
		const TrackerGeometry &	tkGeom,
		std::vector< std::vector< float > > &	calibGains,
		const unsigned int &	m_off
	)

Definition at line 196 of file DeDxTools.cc.

References TrackerGeometry::detUnits(), TrackerGeometry::idToDetUnit(), and GeomDet::index().

Referenced by DeDxDiscriminatorLearner::algoBeginJob(), HSCPDeDxInfoProducer::beginRun(), DeDxHitInfoProducer::beginRun(), and DeDxEstimatorProducer::beginRun().

{
   auto const & dus = tkGeom.detUnits();
   calibGains.resize(dus.size()-m_off);

   TChain* t1 = new TChain("SiStripCalib/APVGain");
   t1->Add(m_calibrationPath.c_str());

   unsigned int  tree_DetId;
   unsigned char tree_APVId;
   double        tree_Gain;
   t1->SetBranchAddress("DetId"             ,&tree_DetId      );
   t1->SetBranchAddress("APVId"             ,&tree_APVId      );
   t1->SetBranchAddress("Gain"              ,&tree_Gain       );

   for (unsigned int ientry = 0; ientry < t1->GetEntries(); ientry++) {
       t1->GetEntry(ientry);
       auto& gains = calibGains[tkGeom.idToDetUnit(DetId(tree_DetId))->index()-m_off];
       if(gains.size()<(size_t)(tree_APVId+1)){gains.resize(tree_APVId+1);}
       gains[tree_APVId] = tree_Gain;
   }
   t1->Delete();
}

bool DeDxTools::shapeSelection

(

const SiStripCluster &

ampls

)

Definition at line 10 of file DeDxTools.cc.

References SiStripCluster::amplitudes(), i, and HLT_25ns14e33_v1_cff::noise.

Referenced by DeDxDiscriminatorLearner::processHit(), and DeDxEstimatorProducer::processHit().

{
  // ----------------  COMPTAGE DU NOMBRE DE MAXIMA   --------------------------
  //----------------------------------------------------------------------------
//  printf("ShapeTest \n");
         auto const & ampls = clus.amplitudes();
     Int_t NofMax=0; Int_t recur255=1; Int_t recur254=1;
     bool MaxOnStart=false;bool MaxInMiddle=false, MaxOnEnd =false;
     Int_t MaxPos=0;
    // Début avec max
         if(ampls.size()!=1 && ((ampls[0]>ampls[1])
        || (ampls.size()>2 && ampls[0]==ampls[1] && ampls[1]>ampls[2] && ampls[0]!=254 && ampls[0]!=255) 
        || (ampls.size()==2 && ampls[0]==ampls[1] && ampls[0]!=254 && ampls[0]!=255)) ){
      NofMax=NofMax+1;  MaxOnStart=true;  }

    // Maximum entouré
         if(ampls.size()>2){
          for (unsigned int i =1; i < ampls.size()-1U; i++) {
                if( (ampls[i]>ampls[i-1] && ampls[i]>ampls[i+1]) 
            || (ampls.size()>3 && i>0 && i<ampls.size()-2U && ampls[i]==ampls[i+1] && ampls[i]>ampls[i-1] && ampls[i]>ampls[i+2] && ampls[i]!=254 && ampls[i]!=255) ){ 
         NofMax=NofMax+1; MaxInMiddle=true;  MaxPos=i; 
        }
        if(ampls[i]==255 && ampls[i]==ampls[i-1]) {
            recur255=recur255+1;
            MaxPos=i-(recur255/2);
            if(ampls[i]>ampls[i+1]){NofMax=NofMax+1;MaxInMiddle=true;}
        }
        if(ampls[i]==254 && ampls[i]==ampls[i-1]) {
            recur254=recur254+1;
            MaxPos=i-(recur254/2);
            if(ampls[i]>ampls[i+1]){NofMax=NofMax+1;MaxInMiddle=true;}
        }
            }
     }
    // Fin avec un max
         if(ampls.size()>1){
          if(ampls[ampls.size()-1]>ampls[ampls.size()-2]
         || (ampls.size()>2 && ampls[ampls.size()-1]==ampls[ampls.size()-2] && ampls[ampls.size()-2]>ampls[ampls.size()-3] ) 
         ||  ampls[ampls.size()-1]==255){
       NofMax=NofMax+1;  MaxOnEnd=true;   }
         }
    // Si une seule strip touchée
    if(ampls.size()==1){    NofMax=1;}




  // ---  SELECTION EN FONCTION DE LA FORME POUR LES MAXIMA UNIQUES ---------
  //------------------------------------------------------------------------
  /*
               ____
              |    |____
          ____|    |    |
         |    |    |    |____
     ____|    |    |    |    |
    |    |    |    |    |    |____
  __|____|____|____|____|____|____|__
    C_Mnn C_Mn C_M  C_D  C_Dn C_Dnn
  */
//   bool shapetest=true;
   bool shapecdtn=false;

//  Float_t C_M;    Float_t C_D;    Float_t C_Mn;   Float_t C_Dn;   Float_t C_Mnn;  Float_t C_Dnn;
    Float_t C_M=0.0;    Float_t C_D=0.0;    Float_t C_Mn=10000; Float_t C_Dn=10000; Float_t C_Mnn=10000;    Float_t C_Dnn=10000;
    Int_t CDPos;
    Float_t coeff1=1.7; Float_t coeff2=2.0;
    Float_t coeffn=0.10;    Float_t coeffnn=0.02; Float_t noise=4.0;

    if(NofMax==1){

        if(MaxOnStart==true){
            C_M=(Float_t)ampls[0]; C_D=(Float_t)ampls[1];
                if(ampls.size()<3) shapecdtn=true ;
                else if(ampls.size()==3){C_Dn=(Float_t)ampls[2] ; if(C_Dn<=coeff1*coeffn*C_D+coeff2*coeffnn*C_M+2*noise || C_D==255) shapecdtn=true;}
                else if(ampls.size()>3){ C_Dn=(Float_t)ampls[2];  C_Dnn=(Float_t)ampls[3] ;
                            if((C_Dn<=coeff1*coeffn*C_D+coeff2*coeffnn*C_M+2*noise || C_D==255)
                               && C_Dnn<=coeff1*coeffn*C_Dn+coeff2*coeffnn*C_D+2*noise){
                             shapecdtn=true;}
                }
        }

        if(MaxOnEnd==true){
            C_M=(Float_t)ampls[ampls.size()-1]; C_D=(Float_t)ampls[ampls.size()-2];
                if(ampls.size()<3) shapecdtn=true ;
                else if(ampls.size()==3){C_Dn=(Float_t)ampls[0] ; if(C_Dn<=coeff1*coeffn*C_D+coeff2*coeffnn*C_M+2*noise || C_D==255) shapecdtn=true;}
                else if(ampls.size()>3){C_Dn=(Float_t)ampls[ampls.size()-3] ; C_Dnn=(Float_t)ampls[ampls.size()-4] ; 
                            if((C_Dn<=coeff1*coeffn*C_D+coeff2*coeffnn*C_M+2*noise || C_D==255)
                               && C_Dnn<=coeff1*coeffn*C_Dn+coeff2*coeffnn*C_D+2*noise){ 
                             shapecdtn=true;}
                }
        }

        if(MaxInMiddle==true){
            C_M=(Float_t)ampls[MaxPos];
                        int LeftOfMaxPos=MaxPos-1;if(LeftOfMaxPos<=0)LeftOfMaxPos=0;
                        int RightOfMaxPos=MaxPos+1;if(RightOfMaxPos>=(int)ampls.size())RightOfMaxPos=ampls.size()-1;
                        //int after = RightOfMaxPos; int before = LeftOfMaxPos; if (after>=(int)ampls.size() ||  before<0)  std::cout<<"invalid read MaxPos:"<<MaxPos <<"size:"<<ampls.size() <<std::endl; 
            if(ampls[LeftOfMaxPos]<ampls[RightOfMaxPos]){ C_D=(Float_t)ampls[RightOfMaxPos]; C_Mn=(Float_t)ampls[LeftOfMaxPos];CDPos=RightOfMaxPos;} else{ C_D=(Float_t)ampls[LeftOfMaxPos]; C_Mn=(Float_t)ampls[RightOfMaxPos];CDPos=LeftOfMaxPos;}
            if(C_Mn<coeff1*coeffn*C_M+coeff2*coeffnn*C_D+2*noise || C_M==255){ 
                if(ampls.size()==3) shapecdtn=true ;
                else if(ampls.size()>3){
                    if(CDPos>MaxPos){
                        if(ampls.size()-CDPos-1==0){
                            C_Dn=0; C_Dnn=0;
                        }
                        if(ampls.size()-CDPos-1==1){
                            C_Dn=(Float_t)ampls[CDPos+1];
                            C_Dnn=0;
                        }
                        if(ampls.size()-CDPos-1>1){
                            C_Dn=(Float_t)ampls[CDPos+1];
                            C_Dnn=(Float_t)ampls[CDPos+2];
                        }
                        if(MaxPos>=2){
                            C_Mnn=(Float_t)ampls[MaxPos-2];
                        }
                        else if(MaxPos<2) C_Mnn=0;
                    }
                    if(CDPos<MaxPos){
                        if(CDPos==0){
                            C_Dn=0; C_Dnn=0;
                        }
                        if(CDPos==1){
                            C_Dn=(Float_t)ampls[0];
                            C_Dnn=0;
                        }
                        if(CDPos>1){
                            C_Dn=(Float_t)ampls[CDPos-1];
                            C_Dnn=(Float_t)ampls[CDPos-2];
                        }
                                                if(ampls.size()-LeftOfMaxPos>1 && MaxPos+2<(int)(ampls.size())-1){
                            C_Mnn=(Float_t)ampls[MaxPos+2];
                        }else C_Mnn=0;                          
                    }
                    if((C_Dn<=coeff1*coeffn*C_D+coeff2*coeffnn*C_M+2*noise || C_D==255)
                       && C_Mnn<=coeff1*coeffn*C_Mn+coeff2*coeffnn*C_M+2*noise
                       && C_Dnn<=coeff1*coeffn*C_Dn+coeff2*coeffnn*C_D+2*noise) {
                        shapecdtn=true;
                    }

                }
            }           
        }
    }
    if(ampls.size()==1){shapecdtn=true;}

   return shapecdtn;
}