#include <NewLikelihoodTool.h>

Inheritance diagram for Analysis::NewLikelihoodTool:

Collaboration diagram for Analysis::NewLikelihoodTool:

Public Member Functions
	NewLikelihoodTool (const std::string &, const std::string &, const IInterface *)
virtual	~NewLikelihoodTool ()=default
virtual StatusCode	initialize () override
void	defineHypotheses (const std::vector< std::string > &)
void	defineHistogram (const std::string &hname)
TH1 *	prepareHistogram (const std::string &hypo, const std::string &hname) const
void	smoothAndNormalizeHistogram (TH1 *histo, const std::string &hname) const
std::vector< double >	calculateLikelihood (const std::vector< Slice > &lhVariableValues) const
void	printStatus () const
double	getEff (const std::string &hypo, const std::string &histo, const std::string &suffix) const
std::vector< std::string >	gradeList (const std::string &hname) const
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	sysInitialize () override
	Perform system initialization for an algorithm.
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

Static Public Member Functions
static const InterfaceID &	interfaceID ()

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
Gaudi::Details::PropertyBase &	declareGaudiProperty (Gaudi::Property< T, V, H > &hndl, const SG::VarHandleKeyType &)
	specialization for handling Gaudi::Property<SG::VarHandleKey>

Private Attributes
std::string	m_taggerName
std::vector< std::string >	m_hypotheses
SG::ReadCondHandleKey< JetTagCalibCondData >	m_readKey {this, "HistosKey", "JetTagCalibHistosKey", "Key of input (derived) JetTag calibration data"}
	Key of calibration data:
bool	m_normalizedProb
	Treatment of histograms:
bool	m_interpolate
int	m_smoothNTimes
std::vector< std::string >	m_vetoSmoothingOf
std::vector< std::string >	m_histograms
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

Definition at line 25 of file NewLikelihoodTool.h.

Member Typedef Documentation

◆ StoreGateSvc_t

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

privateinherited

Definition at line 388 of file AthCommonDataStore.h.

Constructor & Destructor Documentation

◆ NewLikelihoodTool()

Analysis::NewLikelihoodTool::NewLikelihoodTool	(	const std::string &	t,
		const std::string &	n,
		const IInterface *	p )

Definition at line 20 of file NewLikelihoodTool.cxx.

                                                                                                  :
    AthAlgTool(t,n,p),
    m_taggerName("undefined"),
    m_hypotheses(std::vector<std::string>()),
    m_normalizedProb(true),
    m_interpolate(false),
    m_smoothNTimes(1),
    m_vetoSmoothingOf(std::vector<std::string>()),
    m_histograms(std::vector<std::string>()) {
   
    declareInterface<NewLikelihoodTool>(this);
    declareProperty("taggerName", m_taggerName);
    declareProperty("hypotheses", m_hypotheses);
    declareProperty("normalizedProb", m_normalizedProb);
    declareProperty("interpolate",m_interpolate);
    declareProperty("smoothNTimes",m_smoothNTimes);
    declareProperty("vetoSmoothingOf",  m_vetoSmoothingOf);
    m_hypotheses.push_back("B");
    m_hypotheses.push_back("U");
    m_hypotheses.push_back("C");
    m_vetoSmoothingOf.push_back("/N2T");
    m_vetoSmoothingOf.push_back("/N2TEffSV2");
    m_vetoSmoothingOf.push_back("/Sip3D");
  }

◆ ~NewLikelihoodTool()

virtual Analysis::NewLikelihoodTool::~NewLikelihoodTool ( )

virtualdefault

Member Function Documentation

◆ calculateLikelihood()

std::vector< double > Analysis::NewLikelihoodTool::calculateLikelihood ( const std::vector< Slice > & lhVariableValues ) const

Definition at line 224 of file NewLikelihoodTool.cxx.

  {
    ATH_MSG_VERBOSE("#BTAG# calculate called for " << m_hypotheses.size() << " hypotheses.");
    std::vector<double> probDensityPerEventClassAllVariables;
    probDensityPerEventClassAllVariables.resize(m_hypotheses.size());
    for (unsigned int i = 0 ; i < m_hypotheses.size(); ++i) {
      probDensityPerEventClassAllVariables[i]=1.;
    }
    ATH_MSG_VERBOSE("#BTAG# -- lhVarVal size= " << lhVariableValues.size());
    // loop on Tracks in the Jet (IP) / Vertices in the Jet (SV)
    for (const auto& value : lhVariableValues) {
      ATH_MSG_VERBOSE( "#BTAG# -- element " << value.name );
      int ncompo = value.composites.size();
      ATH_MSG_VERBOSE( "#BTAG# -- element " << value.name
               << " has " << ncompo << " composites." );
      // loop on variables that make up the Tag, e.g. 
      // one 1D for IP2D, one 2D for IP3D, one 1D and one 2D for SV1, one 3D for SV2
      for (const auto& compo : value.composites) {
        double sum(0.);
        std::vector<double> tmpVector; 
        std::string histName = compo.name;
        int idim = compo.atoms.size();
        ATH_MSG_VERBOSE( "#BTAG#   -- composite histo= "
             << histName << " dim= " << idim );
    for (const auto& hypo : m_hypotheses) {
          TH1* tmpHisto = this->prepareHistogram(hypo,histName);
          if(tmpHisto) {
            if(1==idim) {
              double valuex = compo.atoms[0].value;
              int binx = (tmpHisto->GetXaxis())->FindBin(valuex);
              if(valuex >= tmpHisto->GetXaxis()->GetXmax()) binx = tmpHisto->GetXaxis()->GetNbins();
              if(valuex <= tmpHisto->GetXaxis()->GetXmin()) binx = 1;
              double tmp = tmpHisto->GetBinContent(binx);
              if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << "#BTAG#       For hypothesis= " << hypo
                                                           << " (1D) actual value= " << valuex
                                                           << " --> bin= " << binx << " f = " << tmp;
              if(m_interpolate) {
                TH1* dc_tmp = dynamic_cast<TH1*>(tmpHisto);
        if (dc_tmp) {
                  tmp = HistoHelperRoot::Interpol1d(valuex, dc_tmp);
                  if( msgLvl(MSG::VERBOSE) )msg(MSG::VERBOSE) << " interpolated f = " << tmp;
        }
              }
              if(m_normalizedProb) { // pdf are already normalized
                if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " (normalized)" << endmsg;
              } else {
                double binw = tmpHisto->GetBinWidth(binx);
                if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " binw= " << binw;
                if(0==binw) {
                  msg(MSG::ERROR) << "bin width is 0" << endmsg;
                } else {
                  tmp /= binw;
                }
                if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " normalized f = " << tmp << endmsg;
              }
              tmpVector.push_back(tmp);
              sum += tmp;
            }
            if(2==idim) {
              double valuex = compo.atoms[0].value;
              double valuey = compo.atoms[1].value;
              int binx = (tmpHisto->GetXaxis())->FindBin(valuex);
              int biny = (tmpHisto->GetYaxis())->FindBin(valuey);
              if(valuex >= tmpHisto->GetXaxis()->GetXmax()) binx = tmpHisto->GetXaxis()->GetNbins();
              if(valuex <= tmpHisto->GetXaxis()->GetXmin()) binx = 1;
              if(valuey >= tmpHisto->GetYaxis()->GetXmax()) biny = tmpHisto->GetYaxis()->GetNbins();
              if(valuey <= tmpHisto->GetYaxis()->GetXmin()) biny = 1;
              double tmp = tmpHisto->GetBinContent(binx, biny);
              if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << "#BTAG#       For hypothesis= " << hypo
                                                           << " (2D) actual value= " << valuex << " " << valuey
                                                           << " --> bin= " << binx << " " << biny << " f = " << tmp;
              if(m_interpolate) {
        TH2* dc_tmp = dynamic_cast<TH2*>(tmpHisto);
        if (dc_tmp) { 
                  tmp = HistoHelperRoot::Interpol2d(valuex, valuey, dc_tmp);
                  if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " interpolated f = " << tmp;
        }
              }
              if(m_normalizedProb) { // pdf are already normalized
                if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " (normalized)" << endmsg;
              } else {
                double binw  = tmpHisto->GetXaxis()->GetBinWidth(binx) 
                             * tmpHisto->GetYaxis()->GetBinWidth(biny);
                if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " binw= " << binw;
                if(0==binw) {
                  msg(MSG::ERROR) << "bin width is 0" << endmsg;
                } else {
                  tmp /= binw;
                }
                if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " normalized f = " << tmp << endmsg;
              }
              tmpVector.push_back(tmp);
              sum += tmp;
            }
            if(3==idim) {
              double valuex = compo.atoms[0].value;
              double valuey = compo.atoms[1].value;
              double valuez = compo.atoms[2].value;
              int binx = (tmpHisto->GetXaxis())->FindBin(valuex);
              int biny = (tmpHisto->GetYaxis())->FindBin(valuey);
              int binz = (tmpHisto->GetZaxis())->FindBin(valuez);
              if(valuex >= tmpHisto->GetXaxis()->GetXmax()) binx = tmpHisto->GetXaxis()->GetNbins();
              if(valuex <= tmpHisto->GetXaxis()->GetXmin()) binx = 1;
              if(valuey >= tmpHisto->GetYaxis()->GetXmax()) biny = tmpHisto->GetYaxis()->GetNbins();
              if(valuey <= tmpHisto->GetYaxis()->GetXmin()) biny = 1;
              if(valuez >= tmpHisto->GetZaxis()->GetXmax()) binz = tmpHisto->GetZaxis()->GetNbins();
              if(valuez <= tmpHisto->GetZaxis()->GetXmin()) binz = 1;
              double tmp = tmpHisto->GetBinContent(binx, biny, binz);
              if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << "#BTAG#       For hypothesis= " << hypo
                                                           << " (3D) actual value= " << valuex 
                                                           << " " << valuey << " " << valuez
                                                           << " --> bin= " << binx << " " << biny 
                                                           << " " << binz << " f = " << tmp;
              if(m_interpolate) {
                TH3* dc_tmp = dynamic_cast<TH3*>(tmpHisto);
                if (dc_tmp) { 
                  tmp = HistoHelperRoot::Interpol3d(valuex, valuey, valuez, dc_tmp);
                  if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " interpolated f = " << tmp;
        }
              }
              if(m_normalizedProb) { // pdf are already normalized
                if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " (normalized)" << endmsg;
              } else {
                double binw  = tmpHisto->GetXaxis()->GetBinWidth(binx) 
                             * tmpHisto->GetYaxis()->GetBinWidth(biny)
                             * tmpHisto->GetZaxis()->GetBinWidth(binz);
                if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " binw= " << binw;
                if(0==binw) {
                  msg(MSG::ERROR) << "bin width is 0" << endmsg;
                } else {
                  tmp /= binw;
                }
                if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << " normalized f = " << tmp << endmsg;
              }
              tmpVector.push_back(tmp);
              sum += tmp;
            }
            if(idim>3 || idim<1 ) msg(MSG::DEBUG) << "#BTAG# " << idim 
                                                  << " is not a correct dimensionality for pdfs !" 
                                                  << endmsg;
          }
        } // endloop on hypotheses (B,U,C..) 
        unsigned int classCount(0);
    for (const auto& f : tmpVector) {
          if(sum != 0.) {
            if( msgLvl(MSG::DEBUG) ) msg(MSG::DEBUG) << "#BTAG# sum of pX = " << sum << endmsg;
            double p = f;
            if(m_normalizedProb) p /= sum;
            probDensityPerEventClassAllVariables[classCount] *= p;
          } else {
            msg(MSG::DEBUG) << "#BTAG# Empty bins for all hypothesis... "
                            << "The discriminating variables are not taken into "
                            << "account in this jet." << endmsg;
            msg(MSG::DEBUG) << "#BTAG# Please check your inputs" << endmsg;
          }
          if( msgLvl(MSG::DEBUG) ) msg(MSG::DEBUG) << "#BTAG#   probDensity= "
                                                   << probDensityPerEventClassAllVariables[classCount]
                                                   << " ic= " << classCount << endmsg;
          classCount++;
        } 
        if( msgLvl(MSG::DEBUG) ) msg(MSG::DEBUG) << "#BTAG#  Final probDensity= " 
                                                 << probDensityPerEventClassAllVariables 
                                                 << endmsg;
      }
    }
    if( msgLvl(MSG::DEBUG) ) msg(MSG::DEBUG) << "#BTAG#  Ending ..." << endmsg;
    return probDensityPerEventClassAllVariables;
  }

◆ declareGaudiProperty()

Gaudi::Details::PropertyBase & AthCommonDataStore< AthCommonMsg< AlgTool > >::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< AlgTool > >::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());
  }

◆ defineHistogram()

void Analysis::NewLikelihoodTool::defineHistogram ( const std::string & hname )

◆ defineHypotheses()

void Analysis::NewLikelihoodTool::defineHypotheses ( const std::vector< std::string > & hyp )

Definition at line 50 of file NewLikelihoodTool.cxx.

                                                                          {
    m_hypotheses = hyp;
  }

◆ detStore()

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

inlineinherited

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

Definition at line 95 of file AthCommonDataStore.h.

95{ return m_detStore; }

AthCommonDataStore< AthCommonMsg< AlgTool > >::m_detStore

StoreGateSvc_t m_detStore

Definition AthCommonDataStore.h:393

◆ evtStore()

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

inlineinherited

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

Definition at line 85 of file AthCommonDataStore.h.

85{ return m_evtStore; }

AthCommonDataStore< AthCommonMsg< AlgTool > >::m_evtStore

StoreGateSvc_t m_evtStore

Definition AthCommonDataStore.h:390

◆ extraDeps_update_handler()

void AthCommonDataStore< AthCommonMsg< AlgTool > >::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

◆ getEff()

double Analysis::NewLikelihoodTool::getEff	(	const std::string &	hypo,
		const std::string &	histo,
		const std::string &	suffix ) const

Definition at line 393 of file NewLikelihoodTool.cxx.

                                                                                                               {
    double eff(0.);
    TH1* numH = this->prepareHistogram(hypo, hname+"Eff"+suffix);
    TH1* denH = this->prepareHistogram(hypo, hname+"Norm"+suffix);
    if(numH && denH) {
      double nnum = numH->GetEntries();
      double nden = denH->GetEntries();
      if(nden!=0) {
        eff = nnum / nden;
        if( msgLvl(MSG::VERBOSE) ) msg(MSG::VERBOSE) << "#BTAG# Efficiency for " << hypo << "#" << hname << " " 
                                                     << suffix << ": " << nnum << "/" << nden << "= " << eff << endmsg;
      } else {
        msg(MSG::DEBUG) << "#BTAG# Problem with Efficiency for " << hypo << "#" << hname << " " 
                        << suffix << ": " << nnum << "/" << nden << "= " << eff << endmsg;
      }
    } else {
      msg(MSG::DEBUG) << "#BTAG# Unknown histogram for Efficiency for " << hypo 
                      << "#" << hname << " " << suffix << endmsg;
    }
    return eff;
  }

◆ gradeList()

std::vector< std::string > Analysis::NewLikelihoodTool::gradeList ( const std::string & hname ) const

Definition at line 62 of file NewLikelihoodTool.cxx.

                                                                                    {
    ATH_MSG_VERBOSE("#BTAG# gradeList() called for " << histoName);
    const std::string delimSlash("/");
    // first count slashes:
    unsigned int nSlash = 0;
    std::string::size_type slashPos;
    for( unsigned int i = 0; 
         (slashPos = histoName.find(delimSlash, i)) != std::string::npos; 
         i = slashPos + 1) nSlash++;
    // extract string before the 2nd / sign: this is for the grades, the rest is the histogram name
    slashPos = histoName.find_first_of(delimSlash);
    std::string newName = histoName.substr(slashPos+1);
    slashPos = newName.find_first_of(delimSlash);
    std::string grades = newName.substr(0,slashPos);
    std::string hhname = newName.substr(slashPos+1);
    if(nSlash<2) grades = "";
    ATH_MSG_VERBOSE("#BTAG# -> grades: " << grades);
    ATH_MSG_VERBOSE("#BTAG# -> hhname: " << hhname);
    // now decode the grades:
    std::vector<std::string> gradeList;
    if(grades!="") {
      const std::string delimUds("_");
      std::string::size_type sPos, sEnd, sLen;
      sPos = grades.find_first_not_of(delimUds);
      while ( sPos != std::string::npos ) {
        sEnd = grades.find_first_of(delimUds, sPos);
        if(sEnd==std::string::npos) sEnd = grades.length();
        sLen = sEnd - sPos;
        std::string word = grades.substr(sPos,sLen);
        ATH_MSG_DEBUG("#BTAG# --> grade = " << word);
        gradeList.push_back(std::move(word));
        sPos = grades.find_first_not_of(delimUds, sEnd);
      }
    }
    // add the histogram name at the end of the list:
    gradeList.push_back(std::move(hhname));
    return gradeList;
  }

◆ initialize()

StatusCode Analysis::NewLikelihoodTool::initialize ( )

overridevirtual

Definition at line 45 of file NewLikelihoodTool.cxx.

                                           {
    ATH_CHECK(m_readKey.initialize());
    return StatusCode::SUCCESS;
  }

◆ inputHandles()

virtual std::vector< Gaudi::DataHandle * > AthCommonDataStore< AthCommonMsg< AlgTool > >::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.

◆ interfaceID()

const InterfaceID & Analysis::NewLikelihoodTool::interfaceID ( )

inlinestatic

Definition at line 34 of file NewLikelihoodTool.h.

34{ return IID_NewLikelihoodTool; };

Analysis::IID_NewLikelihoodTool

static const InterfaceID IID_NewLikelihoodTool("Analysis::NewLikelihoodTool", 1, 0)

◆ msg()

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

inlineinherited

Definition at line 24 of file AthCommonMsg.h.

                                {
    return this->msgStream();
  }

◆ msgLvl()

bool AthCommonMsg< AlgTool >::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< AlgTool > >::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.

◆ prepareHistogram()

TH1 * Analysis::NewLikelihoodTool::prepareHistogram	(	const std::string &	hypo,
		const std::string &	hname ) const

Definition at line 101 of file NewLikelihoodTool.cxx.

                                                                                              {
    TH1* histoSum = nullptr;
 
    SG::ReadCondHandle<JetTagCalibCondData> readCdo(m_readKey);
    std::string channelName = readCdo->channelName(hname);
    std::string histoName = readCdo->histoName(hname);
    std::string actualName = hypo + "/" + histoName;
    std::string longName = channelName + "#" + actualName;
    ATH_MSG_VERBOSE("#BTAG# preparing histogram " << longName);
    ATH_MSG_VERBOSE("#BTAG# -> channel is " << channelName);
    ATH_MSG_VERBOSE("#BTAG# -> histo is " << histoName);
    // now decode the grades:
    std::vector<std::string> gradeList = this->gradeList(histoName);
    // - case with no grade:
    if(1==gradeList.size()) {
      ATH_MSG_DEBUG("#BTAG# Histo "<<actualName<<" has no grade: direct retrieval");
      histoSum = readCdo->retrieveHistogram(m_taggerName, 
                                                                       channelName, 
                                                                       actualName);
    }
    // - case with 1 grade:
    if(2==gradeList.size()) {
      ATH_MSG_DEBUG("#BTAG# Histo "<<actualName<<" has only one grade: direct retrieval");
      histoSum = readCdo->retrieveHistogram(m_taggerName, 
                                                                       channelName, 
                                                                       actualName);
      //Part not fully migrated
      //smoothAndNormalizeHistogram should not be called here but in condition algorithm
      ATH_MSG_VERBOSE("#BTAG# Smoothing histogram " << longName << " ...");
      this->smoothAndNormalizeHistogram(histoSum, longName);
    }
    // - for many grades, get individual histos and sum them up:
    if(gradeList.size()>2) {
      TH1* histo = nullptr;
      ATH_MSG_DEBUG("Histo " << actualName << " has " << (gradeList.size()-1) << " grades:");
      for(unsigned int i=0;i<(gradeList.size()-1);i++) {
        actualName = hypo+"/"+gradeList[i]+gradeList[gradeList.size()-1];
        ATH_MSG_VERBOSE("#BTAG#  -> retrieving histo for grade " << i << " " << gradeList[i] << ": ");
        histo = readCdo->retrieveHistogram(m_taggerName, 
                                                                          channelName, 
                                                                          actualName);
        if(histo) ATH_MSG_VERBOSE("#BTAG#     histo " << actualName 
                  << " has " << histo->GetEntries() << " entries."); 
        if(0==i) {
          histoSum = histo;
        } else {
          if(histo&&histoSum) histoSum->Add(histo,1.);
        }
      }
      //Part not fully migrated
      //smoothAndNormalizeHistogram should not be called here but in condition algorithm     
      ATH_MSG_VERBOSE("#BTAG# Smoothing histogram " << longName << " ...");
      this->smoothAndNormalizeHistogram(histoSum, longName);
    }
    return histoSum;
  }

◆ printStatus()

void Analysis::NewLikelihoodTool::printStatus ( ) const

Definition at line 54 of file NewLikelihoodTool.cxx.

                                            {
    msg(MSG::INFO) << "#BTAG# - hypotheses : ";
    for(const auto& hypo : m_hypotheses) msg(MSG::INFO) << hypo << ", ";
    msg(MSG::INFO) << endmsg;
    msg(MSG::INFO) << "#BTAG# - histograms : " << endmsg;
    for(const auto& histo : m_histograms) msg(MSG::INFO) << histo << endmsg;
  }

◆ 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< AlgTool > >::renounce ( T & h )

inlineprotectedinherited

Definition at line 380 of file AthCommonDataStore.h.

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

◆ renounceArray()

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

inlineprotectedinherited

remove all handles from I/O resolution

Definition at line 364 of file AthCommonDataStore.h.

                                                          {
    handlesArray.renounce();
  }

◆ smoothAndNormalizeHistogram()

void Analysis::NewLikelihoodTool::smoothAndNormalizeHistogram	(	TH1 *	histo,
		const std::string &	hname = "" ) const

Definition at line 158 of file NewLikelihoodTool.cxx.

                                                                                               {
    if(h) {
      double norm = h->Integral();
      if(norm) {
        // check if smoothing of histogram is not vetoed:
        bool veto = false;
    for(const auto& v : m_vetoSmoothingOf) {
          if(hname.find(v)!=std::string::npos) {
            veto = true;
            ATH_MSG_VERBOSE("#BTAG# Smoothing of " << hname << " is vetoed !");
            break;
          }
        }
        if(1==h->GetDimension() && m_smoothNTimes) {
          if(!veto) {
            if(norm>10000)h->Smooth(m_smoothNTimes);
            else h->Smooth((int)(m_smoothNTimes*100./sqrt(norm)));
          }
        }
        if(2==h->GetDimension()) {
          int m2d=3;
          //if(hname.find("#B/")==std::string::npos) m2d=5; //VK oversmoothing!!!
          if(!veto) {
        TH2 * dc_tmp = dynamic_cast<TH2*>(h);
        if (dc_tmp) {
              HistoHelperRoot::smoothASH2D(dc_tmp, m2d, m2d, msgLvl(MSG::DEBUG));
            }
          }
        }
        if(3==h->GetDimension()) {
          int m3d1=3;
          int m3d3=2;
          if(!veto) {
        TH3 * dc_tmp = dynamic_cast<TH3*>(h);
        if (dc_tmp) {
          int Nx=dc_tmp->GetNbinsX();
          int Ny=dc_tmp->GetNbinsY();
          int Nz=dc_tmp->GetNbinsZ();
          if(Nz == 7)         //==========Old SV2
                HistoHelperRoot::smoothASH3D(dc_tmp, m3d1, m3d1, m3d3, msgLvl(MSG::DEBUG));
          else if(Nz == 6){   //==========New SV2Pt
                double total=dc_tmp->Integral(1,Nx,1,Ny,1,Nz,"");
            for(int iz=1; iz<=Nz; iz++){
                  double content=dc_tmp->Integral(1,Nx,1,Ny,iz,iz,""); if(content==0.)content=Nz;
          double dnorm=total/content/Nz;
              for(int ix=1; ix<=Nx; ix++){
            for(int iy=1; iy<=Ny; iy++){
              double cbin=dc_tmp->GetBinContent(ix,iy,iz)*dnorm; cbin= cbin>0. ? cbin : 0.1; //Protection against empty bins
              dc_tmp->SetBinContent(ix,iy,iz, cbin);
            }
          }
                }
                HistoHelperRoot::smoothASH3D(dc_tmp, m3d1, m3d1, m3d3, msgLvl(MSG::DEBUG));
              }
            }
          }
        }
        // normalize:
        norm = h->Integral();
        h->Scale(1./norm);
      } else {
        ATH_MSG_DEBUG("#BTAG# Histo "<<h<<" is empty!");
      }
    }
  }

◆ sysInitialize()

virtual StatusCode AthCommonDataStore< AthCommonMsg< AlgTool > >::sysInitialize ( )

overridevirtualinherited

Perform system initialization for an algorithm.

We override this to declare all the elements of handle key arrays at the end of initialization. See comments on updateVHKA.

Reimplemented in asg::AsgMetadataTool, AthCheckedComponent< AthAlgTool >, AthCheckedComponent<::AthAlgTool >, and DerivationFramework::CfAthAlgTool.

◆ sysStart()

virtual StatusCode AthCommonDataStore< AthCommonMsg< AlgTool > >::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< AlgTool > >::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_detStore

StoreGateSvc_t AthCommonDataStore< AthCommonMsg< AlgTool > >::m_detStore

privateinherited

Pointer to StoreGate (detector store by default)

Definition at line 393 of file AthCommonDataStore.h.

◆ m_evtStore

StoreGateSvc_t AthCommonDataStore< AthCommonMsg< AlgTool > >::m_evtStore

privateinherited

Pointer to StoreGate (event store by default)

Definition at line 390 of file AthCommonDataStore.h.

◆ m_histograms

std::vector<std::string> Analysis::NewLikelihoodTool::m_histograms

private

Definition at line 64 of file NewLikelihoodTool.h.

◆ m_hypotheses

std::vector<std::string> Analysis::NewLikelihoodTool::m_hypotheses

private

Definition at line 53 of file NewLikelihoodTool.h.

◆ m_interpolate

bool Analysis::NewLikelihoodTool::m_interpolate

private

Definition at line 60 of file NewLikelihoodTool.h.

◆ m_normalizedProb

bool Analysis::NewLikelihoodTool::m_normalizedProb

private

Treatment of histograms:

Definition at line 59 of file NewLikelihoodTool.h.

◆ m_readKey

SG::ReadCondHandleKey<JetTagCalibCondData> Analysis::NewLikelihoodTool::m_readKey {this, "HistosKey", "JetTagCalibHistosKey", "Key of input (derived) JetTag calibration data"}

private

Key of calibration data:

Definition at line 56 of file NewLikelihoodTool.h.

56{this, "HistosKey", "JetTagCalibHistosKey", "Key of input (derived) JetTag calibration data"};

◆ m_smoothNTimes

int Analysis::NewLikelihoodTool::m_smoothNTimes

private

Definition at line 61 of file NewLikelihoodTool.h.

◆ m_taggerName

std::string Analysis::NewLikelihoodTool::m_taggerName

private

Definition at line 52 of file NewLikelihoodTool.h.

◆ m_varHandleArraysDeclared

bool AthCommonDataStore< AthCommonMsg< AlgTool > >::m_varHandleArraysDeclared

privateinherited

Definition at line 399 of file AthCommonDataStore.h.

◆ m_vetoSmoothingOf

std::vector<std::string> Analysis::NewLikelihoodTool::m_vetoSmoothingOf

private

Definition at line 62 of file NewLikelihoodTool.h.

◆ m_vhka

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

privateinherited

Definition at line 398 of file AthCommonDataStore.h.

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

Public Member Functions

Static Public Member Functions

Protected Member Functions

Private Types

Private Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

◆ StoreGateSvc_t

Constructor & Destructor Documentation

◆ NewLikelihoodTool()

◆ ~NewLikelihoodTool()

Member Function Documentation

◆ calculateLikelihood()

◆ declareGaudiProperty()

◆ declareProperty()

◆ defineHistogram()

◆ defineHypotheses()

◆ detStore()

◆ evtStore()

◆ extraDeps_update_handler()

◆ getEff()

◆ gradeList()

◆ initialize()

◆ inputHandles()

◆ interfaceID()

◆ msg()

◆ msgLvl()

◆ outputHandles()

◆ prepareHistogram()

◆ printStatus()

◆ renounce()

◆ renounceArray()

◆ smoothAndNormalizeHistogram()

◆ sysInitialize()

◆ sysStart()

◆ updateVHKA()

Member Data Documentation

◆ m_detStore

◆ m_evtStore

◆ m_histograms

◆ m_hypotheses

◆ m_interpolate

◆ m_normalizedProb

◆ m_readKey

◆ m_smoothNTimes

◆ m_taggerName

◆ m_varHandleArraysDeclared

◆ m_vetoSmoothingOf

◆ m_vhka