GetLCClassification Class Reference

Top algorithm to generate classification histograms for Local Hadron Calibration. More...

#include <GetLCClassification.h>

Inheritance diagram for GetLCClassification:

Collaboration diagram for GetLCClassification:

Public Member Functions
	GetLCClassification (const std::string &name, ISvcLocator *pSvcLocator)
virtual	~GetLCClassification ()
virtual StatusCode	initialize ()
virtual StatusCode	execute ()
virtual StatusCode	finalize ()
virtual StatusCode	sysInitialize () override
	Override sysInitialize.
virtual const DataObjIDColl &	extraOutputDeps () const override
	Return the list of extra output dependencies.
ServiceHandle< StoreGateSvc > &	evtStore ()
	The standard StoreGateSvc (event store) Returns (kind of) a pointer to the StoreGateSvc.
const ServiceHandle< StoreGateSvc > &	detStore () const
	The standard StoreGateSvc/DetectorStore Returns (kind of) a pointer to the StoreGateSvc.
virtual StatusCode	sysStart () override
	Handle START transition.
virtual std::vector< Gaudi::DataHandle * >	inputHandles () const override
	Return this algorithm's input handles.
virtual std::vector< Gaudi::DataHandle * >	outputHandles () const override
	Return this algorithm's output handles.
Gaudi::Details::PropertyBase &	declareProperty (Gaudi::Property< T, V, H > &t)
void	updateVHKA (Gaudi::Details::PropertyBase &)
MsgStream &	msg () const
bool	msgLvl (const MSG::Level lvl) const

Protected Member Functions
void	renounceArray (SG::VarHandleKeyArray &handlesArray)
	remove all handles from I/O resolution
std::enable_if_t< std::is_void_v< std::result_of_t< decltype(&T::renounce)(T)> > &&!std::is_base_of_v< SG::VarHandleKeyArray, T > &&std::is_base_of_v< Gaudi::DataHandle, T >, void >	renounce (T &h)
void	extraDeps_update_handler (Gaudi::Details::PropertyBase &ExtraDeps)
	Add StoreName to extra input/output deps as needed.

Private Types
typedef ServiceHandle< StoreGateSvc >	StoreGateSvc_t

Private Member Functions
void	mapinsert (const std::vector< Gaudi::Histo1DDef > &dims)
void	mapparse ()
Gaudi::Details::PropertyBase &	declareGaudiProperty (Gaudi::Property< T, V, H > &hndl, const SG::VarHandleKeyType &)
	specialization for handling Gaudi::Property<SG::VarHandleKey>

Private Attributes
std::vector< Gaudi::Histo1DDef >	m_dimensions
	definition of all dimensions used for classification
std::map< std::string, Gaudi::Histo1DDef >	m_dimensionsmap
	property to set all dimensions introduced above
std::vector< int >	m_isampmap
	Vector of indices in m_dimensions.
std::vector< TH2F * >	m_hclus
	Vector of actual histograms.
std::string	m_outputFileName
	Name of the output file to save histograms in.
std::unique_ptr< TFile >	m_outputFile
	Output file to save histograms in.
SG::ReadHandleKey< xAOD::CaloClusterContainer >	m_clusterCollName
	Name of the CaloClusterContainer to use.
std::string	m_NormalizationType
	string to choose different normalization types
int	m_NormalizationTypeNumber
std::string	m_ClassificationType
	string to choose different classification types
int	m_ClassificationTypeNumber
DataObjIDColl	m_extendedExtraObjects
StoreGateSvc_t	m_evtStore
	Pointer to StoreGate (event store by default)
StoreGateSvc_t	m_detStore
	Pointer to StoreGate (detector store by default)
std::vector< SG::VarHandleKeyArray * >	m_vhka
bool	m_varHandleArraysDeclared

Detailed Description

Top algorithm to generate classification histograms for Local Hadron Calibration.

Version

$Id: GetLCClassification.h,v 1.1.1.1 2008-11-04 08:56:11 menke Exp $

Author

Sven Menke menke.nosp@m.@mpp.nosp@m.mu.mp.nosp@m.g.de

Date

3-October-2008

This class is an Algorithm to generate the 2D histograms from single pion simulations to classify as hadronic or electromagnetic. The output histograms need a combination step to calculate the actual probabilty distributions.

Definition at line 31 of file GetLCClassification.h.

Member Typedef Documentation

StoreGateSvc_t

typedef ServiceHandle<StoreGateSvc> AthCommonDataStore< AthCommonMsg< Algorithm > >::StoreGateSvc_t

privateinherited

Definition at line 388 of file AthCommonDataStore.h.

Constructor & Destructor Documentation

GetLCClassification()

GetLCClassification::GetLCClassification	(	const std::string &	name,
		ISvcLocator *	pSvcLocator )

Definition at line 42 of file GetLCClassification.cxx.

  : AthAlgorithm(name, pSvcLocator),
    m_outputFile(nullptr),
    m_clusterCollName("CaloTopoClusters"),
    m_NormalizationType("Lin"),
    m_NormalizationTypeNumber(0),
    m_ClassificationType("None"),
    m_ClassificationTypeNumber(0)
{
 
  std::vector<Gaudi::Histo1DDef> dims(6);
  dims[0] = Gaudi::Histo1DDef("side",-1.5,1.5,1);
  dims[1] = Gaudi::Histo1DDef("|eta|",0.,5.,25);
  dims[2] = Gaudi::Histo1DDef("phi",-M_PI,M_PI,1);
  dims[3] = Gaudi::Histo1DDef("log10(E_clus (MeV))",log10(200),log10(1e6),14);
  dims[4] = Gaudi::Histo1DDef("log10(<rho_cell (MeV/mm^3)>)-log10(E_clus (MeV))",-9.0,-4.0,20);
  dims[5] = Gaudi::Histo1DDef("log10(lambda_clus (mm))",0.0,4.0,20);
 
  mapinsert(dims);
 
  // Dimensions to use for classification
  declareProperty("ClassificationDimensions",m_dimensionsmap);
 
  // Name of output file to save histograms in
  declareProperty("OutputFileName",m_outputFileName);  
  
  // Name of ClusterContainer to use
  declareProperty("ClusterCollectionName",m_clusterCollName);  
 
  // Normalization type "Const", "Lin", "Log", "NClus"
  declareProperty("NormalizationType",m_NormalizationType); 
 
  // Classification type "None" for single pion MC or 
  //                     "ParticleID_EM" for ParticleID based em-type clusters  
  //                     "ParticleID_HAD" for ParticleID based had-type clusters  
  declareProperty("ClassificationType", m_ClassificationType);
 
}

~GetLCClassification()

GetLCClassification::~GetLCClassification ( )

virtual

Definition at line 84 of file GetLCClassification.cxx.

{ }

Member Function Documentation

declareGaudiProperty()

Gaudi::Details::PropertyBase & AthCommonDataStore< AthCommonMsg< Algorithm > >::declareGaudiProperty ( Gaudi::Property< T, V, H > & hndl, const SG::VarHandleKeyType &  )

inlineprivateinherited

specialization for handling Gaudi::Property<SG::VarHandleKey>

Definition at line 156 of file AthCommonDataStore.h.

  {
    return *AthCommonDataStore<PBASE>::declareProperty(hndl.name(),
                                                       hndl.value(), 
                                                       hndl.documentation());
 
  }

declareProperty()

Gaudi::Details::PropertyBase & AthCommonDataStore< AthCommonMsg< Algorithm > >::declareProperty ( Gaudi::Property< T, V, H > & t )

inlineinherited

Definition at line 145 of file AthCommonDataStore.h.

                                                                     {
    typedef typename SG::HandleClassifier<T>::type htype;
    return AthCommonDataStore<PBASE>::declareGaudiProperty(t, htype());
  }

detStore()

const ServiceHandle< StoreGateSvc > & AthCommonDataStore< AthCommonMsg< Algorithm > >::detStore ( ) const

inlineinherited

The standard StoreGateSvc/DetectorStore Returns (kind of) a pointer to the StoreGateSvc.

Definition at line 95 of file AthCommonDataStore.h.

{ return m_detStore; }

evtStore()

ServiceHandle< StoreGateSvc > & AthCommonDataStore< AthCommonMsg< Algorithm > >::evtStore ( )

inlineinherited

The standard StoreGateSvc (event store) Returns (kind of) a pointer to the StoreGateSvc.

Definition at line 85 of file AthCommonDataStore.h.

{ return m_evtStore; }

execute()

StatusCode GetLCClassification::execute ( )

virtual

Definition at line 253 of file GetLCClassification.cxx.

{
  SG::ReadHandle<xAOD::CaloClusterContainer> cc (m_clusterCollName);
 
  // total calib hit energy of all clusters 
  double eCalibTot(0.); 
  double nClusECalibGt0 = 0.0;
 
  for (const xAOD::CaloCluster * theCluster : *cc) {
    double eC=999; 
    if (!theCluster->retrieveMoment(xAOD::CaloCluster::ENG_CALIB_TOT,eC)) {
      ATH_MSG_ERROR( "Failed to retrieve cluster moment ENG_CALIB_TOT"  );
      return StatusCode::FAILURE;      
    }
    if ( m_ClassificationTypeNumber != GetLCDefs::NONE ) {
      double emFrac = 0;
      if (!theCluster->retrieveMoment(xAOD::CaloCluster::ENG_CALIB_FRAC_EM,emFrac)) {
    ATH_MSG_ERROR( "Failed to retrieve cluster moment ENG_CALIB_FRAC_EM"  );
    return StatusCode::FAILURE;      
      }
      if (m_ClassificationTypeNumber == GetLCDefs::PARTICLEID_EM && emFrac < 0.5 )
    eC = 0;
      if (m_ClassificationTypeNumber == GetLCDefs::PARTICLEID_HAD && emFrac > 0.5 )
    eC = 0;
    }
    eCalibTot += eC;
    if ( eC > 0 ) {
      nClusECalibGt0++;
    }
  }
 
  if ( eCalibTot > 0 && nClusECalibGt0 > 0) {
    const double inv_eCalibTot = 1. / eCalibTot;
    const double inv_nClusECalibGt0 = 1. / nClusECalibGt0;
    for (const xAOD::CaloCluster * pClus : *cc) {
      double eng = pClus->e();
      if ( eng > 0 ) { 
    if ( m_ClassificationTypeNumber != GetLCDefs::NONE ) {
      double emFrac = 0;
      if (pClus->retrieveMoment(xAOD::CaloCluster::ENG_CALIB_FRAC_EM,emFrac)) {
        ATH_MSG_ERROR( "Failed to retrieve cluster moment ENG_CALIB_FRAC_EM"  );
        return StatusCode::FAILURE;      
      }
      if (m_ClassificationTypeNumber == GetLCDefs::PARTICLEID_EM && emFrac < 0.5 )
        continue;
      if (m_ClassificationTypeNumber == GetLCDefs::PARTICLEID_HAD && emFrac > 0.5 )
        continue;
    }
 
    double eta = fabs(pClus->eta());
      
    int iside = 0;
    int ieta = 0;
    int iphi = 0;
    int ilogE = 0;
    int nside = 1;
    int neta = 1;
    int nphi = 1;
    int nlogE = 1;
    
    if ( m_isampmap[0] >= 0 ) {
      const Gaudi::Histo1DDef & hd = m_dimensions[m_isampmap[0]];
      nside = hd.bins();
      iside = (int)(nside*(((pClus->eta()<0?-1.0:1.0) - hd.lowEdge())
                   /(hd.highEdge()-hd.lowEdge())));
      if ( iside < 0 || iside > nside-1 ) {
        ATH_MSG_WARNING( " Side index out of bounds " <<
                             iside << " not in [0," << nside-1 << "]"  );
        iside = -1;
      }
    }
    
    if ( m_isampmap[1] >= 0 ) {
      const Gaudi::Histo1DDef & hd = m_dimensions[m_isampmap[1]];
      neta = hd.bins();
      ieta = (int)(neta*((eta - hd.lowEdge())
                 /(hd.highEdge()-hd.lowEdge())));
      if ( ieta < 0 || ieta > neta-1 ) {
        ATH_MSG_WARNING( " Eta index out of bounds " <<
                             ieta << " not in [0," << neta-1 << "]"  );
        ieta = -1;
      }
    }
    if ( m_isampmap[2] >= 0 ) {
      const Gaudi::Histo1DDef & hd = m_dimensions[m_isampmap[2]];
      nphi = hd.bins();
      iphi = (int)(nphi*((pClus->phi() - hd.lowEdge())
                 /(hd.highEdge()-hd.lowEdge())));
      if ( iphi < 0 || iphi > nphi-1 ) {
        ATH_MSG_WARNING( " Phi index out of bounds " <<
                             iphi << " not in [0," << nphi-1 << "]"  );
        iphi = -1;
      }
    }
    
    const Gaudi::Histo1DDef & hd = m_dimensions[m_isampmap[3]];
    nlogE = hd.bins();
    ilogE = (int)(nlogE*((log10(eng) - hd.lowEdge())
                 /(hd.highEdge()-hd.lowEdge())));
    if ( ilogE >= 0 && ilogE < nlogE ) {
      double dens=0,lamb=0,ecal=0;
      if (!pClus->retrieveMoment(xAOD::CaloCluster::ENG_CALIB_TOT,ecal)) {
        ATH_MSG_ERROR( "Failed to retrieve cluster moment ENG_CALIB_TOT"  );
        return StatusCode::FAILURE;      
      }
      if (!pClus->retrieveMoment(xAOD::CaloCluster::FIRST_ENG_DENS,dens)) {
        ATH_MSG_ERROR( "Failed to retrieve cluster moment FIRST_ENG_DENS"  );
        return StatusCode::FAILURE;      
      }
      if (!pClus->retrieveMoment(xAOD::CaloCluster::CENTER_LAMBDA,lamb)) {
        ATH_MSG_ERROR( "Failed to retrieve cluster moment CENTER_LAMBDA"  );
        return StatusCode::FAILURE;      
      }
      if ( dens > 0 && 
           lamb > 0 && 
           ecal > 0 )
          {
        int iH = ilogE*nphi*neta*nside+iphi*neta*nside+ieta*nside+iside;
        if ( m_hclus[iH]) {
          double norm = 0.0;
          if ( m_NormalizationTypeNumber == GetLCDefs::LIN ) {
        norm = ecal*inv_eCalibTot;
          }
          else if ( m_NormalizationTypeNumber == GetLCDefs::LOG ) {
                // cluster has to have at least 1% of the calib hit E
                norm = log10(ecal*inv_eCalibTot)+2.0;
          }
          else if ( m_NormalizationTypeNumber == GetLCDefs::NCLUS ) {
                norm = inv_nClusECalibGt0;
          }
          else {
        norm = 1.0;
          }
          if ( norm > 0 ) {
        m_hclus[iH]->Fill(log10(dens)-log10(eng),log10(lamb),norm);
          }
        }
      }
    }
      }
    }
  }
 
  return StatusCode::SUCCESS;
}

extraDeps_update_handler()

void AthCommonDataStore< AthCommonMsg< Algorithm > >::extraDeps_update_handler ( Gaudi::Details::PropertyBase & ExtraDeps )

protectedinherited

Add StoreName to extra input/output deps as needed.

use the logic of the VarHandleKey to parse the DataObjID keys supplied via the ExtraInputs and ExtraOuputs Properties to add the StoreName if it's not explicitly given

extraOutputDeps()

const DataObjIDColl & AthAlgorithm::extraOutputDeps ( ) const

overridevirtualinherited

Return the list of extra output dependencies.

This list is extended to include symlinks implied by inheritance relations.

Definition at line 50 of file AthAlgorithm.cxx.

{
  // If we didn't find any symlinks to add, just return the collection
  // from the base class.  Otherwise, return the extended collection.
  if (!m_extendedExtraObjects.empty()) {
    return m_extendedExtraObjects;
  }
  return Algorithm::extraOutputDeps();
}

finalize()

StatusCode GetLCClassification::finalize ( )

virtual

Definition at line 239 of file GetLCClassification.cxx.

{
  ATH_MSG_INFO( "Writing out histograms"  );
  m_outputFile->cd();
  for(unsigned int i=0;i<m_hclus.size();i++) {
    m_hclus[i]->Write();
  }
  m_outputFile->Close();
  
  return StatusCode::SUCCESS;
}

initialize()

StatusCode GetLCClassification::initialize ( )

virtual

Definition at line 89 of file GetLCClassification.cxx.

{
  m_outputFile = std::make_unique<TFile>(m_outputFileName.c_str(),"RECREATE");
  m_outputFile->cd();
  m_hclus.resize(0);
  mapparse();
 
  if ( m_NormalizationType == "Lin" ) {
    ATH_MSG_INFO( "Using weighting proportional to E_calib"  );
    m_NormalizationTypeNumber = GetLCDefs::LIN;
  }
  else if ( m_NormalizationType == "Log" ) {
    ATH_MSG_INFO( "Using weighting proportional to log(E_calib)"  );
    m_NormalizationTypeNumber = GetLCDefs::LOG;
  }
  else if ( m_NormalizationType == "NClus" ) {
    ATH_MSG_INFO( "Using weighting proportional to 1/N_Clus_E_calib>0"  );
    m_NormalizationTypeNumber = GetLCDefs::NCLUS;
  }
  else {
    ATH_MSG_INFO( "Using constant weighting"  );
    m_NormalizationTypeNumber = GetLCDefs::CONST;
  }
 
  if ( m_ClassificationType == "None" ) {
    ATH_MSG_INFO( "Expecting single particle input"  );
    m_ClassificationTypeNumber = GetLCDefs::NONE;
  }
  else if ( m_ClassificationType == "ParticleID_EM" ) {
    ATH_MSG_INFO( "Expecting ParticleID simulation as input -- use EM type clusters only"  );
    m_ClassificationTypeNumber = GetLCDefs::PARTICLEID_EM;
  }
  else if ( m_ClassificationType == "ParticleID_HAD" ) {
    ATH_MSG_INFO( "Expecting ParticleID simulation as input -- use HAD type clusters only"  );
    m_ClassificationTypeNumber = GetLCDefs::PARTICLEID_HAD;
  }
  else {
    ATH_MSG_WARNING( " unknown classification type " << m_ClassificationType << " given! Using None instead"  );
    m_ClassificationTypeNumber = GetLCDefs::NONE;
  }
 
  int iside(-1);
  int ieta(-1);
  int iphi(-1);
  int ilogE(-1);
  int ilogrho(-1);
  int iloglambda(-1);
  
  m_isampmap.resize(4,-1);
  for(unsigned int idim=0;idim<m_dimensions.size();idim++) {
    if (      m_dimensions[idim].title() == "side" ) {
      iside = idim;
      m_isampmap[0] = iside;
    }
    else if ( m_dimensions[idim].title() == "|eta|" ) {
      ieta = idim;
      m_isampmap[1] = ieta;
    }
    else if ( m_dimensions[idim].title() == "phi" ) {
      iphi = idim;
      m_isampmap[2] = iphi;
    }
    else if ( m_dimensions[idim].title() == "log10(E_clus (MeV))" ) {
      ilogE = idim;
      m_isampmap[3] = ilogE;
    }
    else if ( m_dimensions[idim].title() == "log10(<rho_cell (MeV/mm^3)>)-log10(E_clus (MeV))" )
      ilogrho = idim;
    else if ( m_dimensions[idim].title() == "log10(lambda_clus (mm))" )
      iloglambda = idim;
  }
  if ( ilogE < 0 || ilogrho < 0 || iloglambda < 0 ) {
    ATH_MSG_FATAL( " Mandatory dimension log10E, log10rho or log10lambda missing ..." );
    return StatusCode::FAILURE;
  }
  int nside = 1;
  if (iside>=0) nside = m_dimensions[iside].bins();
  //
  int neta = 1;
  if (ieta>=0) neta = m_dimensions[ieta].bins();
  //
  int nphi = 1;
  if (iphi>=0) nphi = m_dimensions[iphi].bins();
  int nlogE = m_dimensions[ilogE].bins();
  m_hclus.resize(nside*neta*nphi*nlogE,nullptr);
  for ( int jside=0;jside<nside;jside++) {
    for ( int jeta=0;jeta<neta;jeta++) {
      for ( int jphi=0;jphi<nphi;jphi++) {
    for(int jlogE=0;jlogE<nlogE;jlogE++) {
      TString hname("hclus");
      hname += "_iside_";
      hname += jside;
      hname += "_[";
      hname += (iside>=0?m_dimensions[iside].lowEdge():-1);
      hname += ",";
      hname += (iside>=0?m_dimensions[iside].highEdge():-1);
      hname += ",";
      hname += nside;
      hname += "]";
      hname += "_ieta_";
      hname += jeta;
      hname += "_[";
      hname += (ieta>=0?m_dimensions[ieta].lowEdge():-1);
      hname += ",";
      hname += (ieta>=0?m_dimensions[ieta].highEdge():-1);
      hname += ",";
      hname += neta;
      hname += "]";
      hname += "_iphi_";
      hname += jphi;
      hname += "_[";
      hname += (iphi>=0?m_dimensions[iphi].lowEdge():-1);
      hname += ",";
      hname += (iphi>=0?m_dimensions[iphi].highEdge():-1);
      hname += ",";
      hname += nphi;
      hname += "]";
      hname += "_ilogE_";
      hname += jlogE;
      hname += "_[";
      hname += m_dimensions[ilogE].lowEdge();
      hname += ",";
      hname += m_dimensions[ilogE].highEdge();
      hname += ",";
      hname += nlogE;
      hname += "]";
      int iH = jlogE*nphi*neta*nside+jphi*neta*nside+jeta*nside+jside;
      m_hclus[iH] = new TH2F(hname,hname,
                 m_dimensions[ilogrho].bins(),
                 m_dimensions[ilogrho].lowEdge(),
                 m_dimensions[ilogrho].highEdge(),
                 m_dimensions[iloglambda].bins(),
                 m_dimensions[iloglambda].lowEdge(),
                 m_dimensions[iloglambda].highEdge());
      m_hclus[iH]->Sumw2();
      m_hclus[iH]->SetXTitle("log10(<#rho_{cell}> (MeV/mm^{3})) - log10(E_{clus} (MeV))");
      m_hclus[iH]->SetYTitle("log10(#lambda_{clus} (mm))");
      m_hclus[iH]->SetZTitle("Number of Clusters");
    }
      }
    }
  }
 
  ATH_CHECK( m_clusterCollName.initialize() );
  
  return StatusCode::SUCCESS;
}

inputHandles()

virtual std::vector< Gaudi::DataHandle * > AthCommonDataStore< AthCommonMsg< Algorithm > >::inputHandles ( ) const

overridevirtualinherited

Return this algorithm's input handles.

We override this to include handle instances from key arrays if they have not yet been declared. See comments on updateVHKA.

mapinsert()

void GetLCClassification::mapinsert ( const std::vector< Gaudi::Histo1DDef > & dims )

private

Definition at line 399 of file GetLCClassification.cxx.

                                                                           {
  for (unsigned int i=0;i<dims.size();i++) {
    m_dimensionsmap[dims[i].title()] = dims[i];
  }
}

mapparse()

void GetLCClassification::mapparse ( )

private

Definition at line 405 of file GetLCClassification.cxx.

                                   {
 
  for (std::pair<const std::string, Gaudi::Histo1DDef>& p : m_dimensionsmap) {
    m_dimensions.push_back(p.second);
    ATH_MSG_DEBUG( " New Dimension: " 
    << p.second.title() << ", [" << p.second.lowEdge()
    << ", " << p.second.highEdge() 
    << ", " << p.second.bins()
                   << "]"  );
  }
}

msg()

MsgStream & AthCommonMsg< Algorithm >::msg ( ) const

inlineinherited

Definition at line 24 of file AthCommonMsg.h.

                                {
    return this->msgStream();
  }

msgLvl()

bool AthCommonMsg< Algorithm >::msgLvl ( const MSG::Level lvl ) const

inlineinherited

Definition at line 30 of file AthCommonMsg.h.

                                               {
    return this->msgLevel(lvl);
  }

outputHandles()

virtual std::vector< Gaudi::DataHandle * > AthCommonDataStore< AthCommonMsg< Algorithm > >::outputHandles ( ) const

overridevirtualinherited

Return this algorithm's output handles.

We override this to include handle instances from key arrays if they have not yet been declared. See comments on updateVHKA.

renounce()

std::enable_if_t< std::is_void_v< std::result_of_t< decltype(&T::renounce)(T)> > &&!std::is_base_of_v< SG::VarHandleKeyArray, T > &&std::is_base_of_v< Gaudi::DataHandle, T >, void > AthCommonDataStore< AthCommonMsg< Algorithm > >::renounce ( T & h )

inlineprotectedinherited

Definition at line 380 of file AthCommonDataStore.h.

  {
    h.renounce();
    PBASE::renounce (h);
  }

renounceArray()

void AthCommonDataStore< AthCommonMsg< Algorithm > >::renounceArray ( SG::VarHandleKeyArray & handlesArray )

inlineprotectedinherited

remove all handles from I/O resolution

Definition at line 364 of file AthCommonDataStore.h.

                                                          {
    handlesArray.renounce();
  }

sysInitialize()

StatusCode AthAlgorithm::sysInitialize ( )

overridevirtualinherited

Override sysInitialize.

Override sysInitialize from the base class.

Loop through all output handles, and if they're WriteCondHandles, automatically register them and this Algorithm with the CondSvc

Scan through all outputHandles, and if they're WriteCondHandles, register them with the CondSvc

Reimplemented from AthCommonDataStore< AthCommonMsg< Algorithm > >.

Reimplemented in AthAnalysisAlgorithm, AthFilterAlgorithm, AthHistogramAlgorithm, and PyAthena::Alg.

Definition at line 66 of file AthAlgorithm.cxx.

                                       {
  StatusCode sc=AthCommonDataStore<AthCommonMsg<Algorithm>>::sysInitialize();
 
  if (sc.isFailure()) {
    return sc;
  }
  ServiceHandle<ICondSvc> cs("CondSvc",name());
  for (auto h : outputHandles()) {
    if (h->isCondition() && h->mode() == Gaudi::DataHandle::Writer) {
      // do this inside the loop so we don't create the CondSvc until needed
      if ( cs.retrieve().isFailure() ) {
        ATH_MSG_WARNING("no CondSvc found: won't autoreg WriteCondHandles");
        return StatusCode::SUCCESS;
      }
      if (cs->regHandle(this,*h).isFailure()) {
        sc = StatusCode::FAILURE;
        ATH_MSG_ERROR("unable to register WriteCondHandle " << h->fullKey()
                      << " with CondSvc");
      }
    }
  }
  return sc;
}

sysStart()

virtual StatusCode AthCommonDataStore< AthCommonMsg< Algorithm > >::sysStart ( )

overridevirtualinherited

Handle START transition.

We override this in order to make sure that conditions handle keys can cache a pointer to the conditions container.

updateVHKA()

void AthCommonDataStore< AthCommonMsg< Algorithm > >::updateVHKA ( Gaudi::Details::PropertyBase & )

inlineinherited

Definition at line 308 of file AthCommonDataStore.h.

                                               {
    // debug() << "updateVHKA for property " << p.name() << " " << p.toString() 
    //         << "  size: " << m_vhka.size() << endmsg;
    for (auto &a : m_vhka) {
      std::vector<SG::VarHandleKey*> keys = a->keys();
      for (auto k : keys) {
        k->setOwner(this);
      }
    }
  }

Member Data Documentation

m_ClassificationType

std::string GetLCClassification::m_ClassificationType

private

string to choose different classification types

Available options are "None": the input MC is expected to be just a single pion MC with one sort of particles; "ParticleID_EM" Gena's ParticleID classification (EM type objects) for the use of QCD MC; "ParticleID_HAD" Gena's ParticleID classification (HAD type objects) for the use of QCD MC;

Definition at line 136 of file GetLCClassification.h.

m_ClassificationTypeNumber

int GetLCClassification::m_ClassificationTypeNumber

private

Definition at line 138 of file GetLCClassification.h.

m_clusterCollName

SG::ReadHandleKey<xAOD::CaloClusterContainer> GetLCClassification::m_clusterCollName

private

Name of the CaloClusterContainer to use.

Definition at line 111 of file GetLCClassification.h.

m_detStore

StoreGateSvc_t AthCommonDataStore< AthCommonMsg< Algorithm > >::m_detStore

privateinherited

Pointer to StoreGate (detector store by default)

Definition at line 393 of file AthCommonDataStore.h.

m_dimensions

std::vector<Gaudi::Histo1DDef> GetLCClassification::m_dimensions

private

definition of all dimensions used for classification

The currently defined dimensions are:

side: negative values for eta < 0 and positive for eta > 0; 1 bin from -1.5 to 1.5 for no side dependency

|eta|: the absolute value of eta; normally in ATLAS the bounds are within [0,5], smaller ones are useful for test beam setups.

phi: the phi range; 1 bin from -pi to pi for no phi dependency

log10(E_clus): the log10 of the cluster energy; typical range should be within the generated energy range of single pions with about 50% room to the maximum created energy - i.e. use log10(1 TeV) as max value if you generated up tp 2 TeV pions

log10(<rho_cell>) - log10(E_clus): the log10 of the cell energy density moment normalized to the cluster energy; typical ranges are from -9 to -4

log10(lambda_clus): the log10 of the cluster depth in the calorimeter; typical ranges are from 0 to 4

Definition at line 73 of file GetLCClassification.h.

m_dimensionsmap

std::map<std::string,Gaudi::Histo1DDef> GetLCClassification::m_dimensionsmap

private

property to set all dimensions introduced above

Gaudi has only a map<string,Histo1DDef> to use as property. So the syntax for all dimensions introduced above is {'Title': ('Title',Low,High,Bins), ... }.

Definition at line 81 of file GetLCClassification.h.

m_evtStore

StoreGateSvc_t AthCommonDataStore< AthCommonMsg< Algorithm > >::m_evtStore

privateinherited

Pointer to StoreGate (event store by default)

Definition at line 390 of file AthCommonDataStore.h.

m_extendedExtraObjects

DataObjIDColl AthAlgorithm::m_extendedExtraObjects

privateinherited

Definition at line 79 of file AthAlgorithm.h.

m_hclus

std::vector<TH2F *> GetLCClassification::m_hclus

private

Vector of actual histograms.

Internal list of histograms to fill and save.

Definition at line 93 of file GetLCClassification.h.

m_isampmap

std::vector<int> GetLCClassification::m_isampmap

private

Vector of indices in m_dimensions.

Internal list of indices in m_dimensions object.

Definition at line 87 of file GetLCClassification.h.

m_NormalizationType

std::string GetLCClassification::m_NormalizationType

private

string to choose different normalization types

Available options are "Const": every cluster counts with weight 1; "Lin": Each cluster is weighted with E_calib_clus/E_calib_tot; "Log": Each cluster is weighted with log10(E_calib_clus/E_calib_tot)+2; "NClus": Each cluster is weighted with 1/TotalNumberOfClustersWithE_calib>0.

Definition at line 123 of file GetLCClassification.h.

m_NormalizationTypeNumber

int GetLCClassification::m_NormalizationTypeNumber

private

Definition at line 125 of file GetLCClassification.h.

m_outputFile

std::unique_ptr<TFile> GetLCClassification::m_outputFile

private

Output file to save histograms in.

Internal variable pointing to the output file.

Definition at line 106 of file GetLCClassification.h.

m_outputFileName

std::string GetLCClassification::m_outputFileName

private

Name of the output file to save histograms in.

Use this property to set the name of the output file containing the classification histograms.

Definition at line 100 of file GetLCClassification.h.

m_varHandleArraysDeclared

bool AthCommonDataStore< AthCommonMsg< Algorithm > >::m_varHandleArraysDeclared

privateinherited

Definition at line 399 of file AthCommonDataStore.h.

m_vhka

std::vector<SG::VarHandleKeyArray*> AthCommonDataStore< AthCommonMsg< Algorithm > >::m_vhka

privateinherited

Definition at line 398 of file AthCommonDataStore.h.

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The documentation for this class was generated from the following files:

• GetLCClassification.h
• GetLCClassification.cxx