TrigTauHypoTool Namespace Reference

Classes
class	TauCuts

Functions
	TrigTauPrecisionHypoToolFromDict (AthConfigFlags flags, dict[str, Any] chainDict)
	TrigTauPrecisionIDHypoToolFromDict (AthConfigFlags flags, dict[str, Any] chainDict)
	TrigTauPrecisionDiKaonHypoToolFromDict (AthConfigFlags flags, dict[str, Any] chainDict)
	TrigTauTrackingHypoToolFromDict (AthConfigFlags flags, dict[str, Any] chainDict)
	TrigTauCaloMVAHypoToolFromDict (AthConfigFlags flags, dict[str, Any] chainDict)

Variables
	log = logging.getLogger('TrigHLTTauHypoTool')
	DiKaonCuts = namedtuple('DiKaonCuts', 'massTrkSysMin massTrkSysMax massTrkSysKaonMin massTrkSysKaonMax massTrkSysKaonPiMin massTrkSysKaonPiMax targetMassTrkSysKaonPi leadTrkPtMin PtMin EMPOverTrkSysPMax')
dict	thresholds_dikaon
	SinglePionCuts = namedtuple('SinglePionCuts', 'leadTrkPtMin PtMin NTracksMax NIsoTracksMax dRmaxMax etOverPtLeadTrkMin etOverPtLeadTrkMax')
dict	thresholds_singlepion

Function Documentation

TrigTauCaloMVAHypoToolFromDict()

TrigTauHypoTool.TrigTauCaloMVAHypoToolFromDict	(	AthConfigFlags	flags,
		dict[str, Any]	chainDict )

Definition at line 262 of file TrigTauHypoTool.py.

def TrigTauCaloMVAHypoToolFromDict(flags: AthConfigFlags, chainDict: dict[str, Any]):
    name = chainDict['chainName']
    threshold = float(chainDict['chainParts'][0]['threshold'])
 
    from AthenaConfiguration.ComponentFactory import CompFactory
    currentHypo = CompFactory.TrigTauCaloHypoTool(name)
    currentHypo.PtMin = threshold * GeV
 
    return currentHypo
 

TrigTauPrecisionDiKaonHypoToolFromDict()

TrigTauHypoTool.TrigTauPrecisionDiKaonHypoToolFromDict	(	AthConfigFlags	flags,
		dict[str, Any]	chainDict )

TrigTauPrecisionDiKaonHypoTool configuration for the meson cut-based Tau triggers (ATR-22644)

Definition at line 207 of file TrigTauHypoTool.py.

def TrigTauPrecisionDiKaonHypoToolFromDict(flags: AthConfigFlags, chainDict: dict[str, Any]):
    '''TrigTauPrecisionDiKaonHypoTool configuration for the meson cut-based Tau triggers (ATR-22644)'''
    name = chainDict['chainName']
    chainPart = chainDict['chainParts'][0]
 
    # Setup the Hypothesis tool
    from AthenaConfiguration.ComponentFactory import CompFactory
    currentHypo = CompFactory.TrigTauPrecisionDiKaonHypoTool(name)
 
    key = (chainPart['selection'], int(chainPart['threshold']))
    if key in thresholds_dikaon:
        thr = thresholds_dikaon[key]
        currentHypo.PtMin                  = thr.PtMin
        currentHypo.leadTrkPtMin           = thr.leadTrkPtMin
        currentHypo.massTrkSysMin          = thr.massTrkSysMin
        currentHypo.massTrkSysMax          = thr.massTrkSysMax
        currentHypo.massTrkSysKaonMin      = thr.massTrkSysKaonMin
        currentHypo.massTrkSysKaonMax      = thr.massTrkSysKaonMax
        currentHypo.massTrkSysKaonPiMin    = thr.massTrkSysKaonPiMin
        currentHypo.massTrkSysKaonPiMax    = thr.massTrkSysKaonPiMax
        currentHypo.targetMassTrkSysKaonPi = thr.targetMassTrkSysKaonPi
        currentHypo.EMPOverTrkSysPMax      = thr.EMPOverTrkSysPMax
        
    elif key in thresholds_singlepion:
        thr = thresholds_singlepion[key]
        currentHypo.PtMin              = thr.PtMin
        currentHypo.NTracksMax         = thr.NTracksMax
        currentHypo.NIsoTracksMax      = thr.NIsoTracksMax
        currentHypo.leadTrkPtMin       = thr.leadTrkPtMin
        currentHypo.dRmaxMax           = thr.dRmaxMax
        currentHypo.etOverPtLeadTrkMin = thr.etOverPtLeadTrkMin
        currentHypo.etOverPtLeadTrkMax = thr.etOverPtLeadTrkMax
 
    currentHypo.MonTool = getTrigTauPrecisionDiKaonHypoToolMonitoring(flags, name)
 
    return currentHypo
 
 
 
#============================================================================================
# Tracking step hypothesis tool (without selection)
#============================================================================================

TrigTauPrecisionHypoToolFromDict()

TrigTauHypoTool.TrigTauPrecisionHypoToolFromDict	(	AthConfigFlags	flags,
		dict[str, Any]	chainDict )

Definition at line 18 of file TrigTauHypoTool.py.

def TrigTauPrecisionHypoToolFromDict(flags: AthConfigFlags, chainDict: dict[str, Any]):
    chainPart = chainDict['chainParts'][0]
 
    identification = getChainIDConfigName(flags, chainPart)
 
    if identification == 'MesonCuts':
        # Meson cut-based triggers (ATR-22644)
        return TrigTauPrecisionDiKaonHypoToolFromDict(flags, chainDict)
    else:
        # Everything else
        return TrigTauPrecisionIDHypoToolFromDict(flags, chainDict)
 
 
#-----------------------------------------------------------------
# Standard tau triggers configuration
#-----------------------------------------------------------------

TrigTauPrecisionIDHypoToolFromDict()

TrigTauHypoTool.TrigTauPrecisionIDHypoToolFromDict	(	AthConfigFlags	flags,
		dict[str, Any]	chainDict )

TrigTauPrecisionIDHypoTool configuration for the standard Tau triggers

Definition at line 110 of file TrigTauHypoTool.py.

def TrigTauPrecisionIDHypoToolFromDict(flags: AthConfigFlags, chainDict: dict[str, Any]):
    '''TrigTauPrecisionIDHypoTool configuration for the standard Tau triggers'''
    name = chainDict['chainName']
    chainPart = chainDict['chainParts'][0]
    cuts = TauCuts(flags, chainPart)
 
    # Setup the Hypothesis tool
    from AthenaConfiguration.ComponentFactory import CompFactory
    currentHypo = CompFactory.TrigTauPrecisionIDHypoTool(
        name,
        PtMin=cuts.pt_min,
        NTracksMax=cuts.n_track_max,
        NIsoTracksMax=cuts.n_iso_track_max,
        IDWP=cuts.id_wp_decor,
        HighPtIDWP=cuts.highpt_id_wp_decor,
    )
 
    from TriggerMenuMT.HLT.Tau.TauConfigurationTools import getChainPrecisionSeqName, useBuiltInTauJetRNNScore, getPrecisionSequenceTauIDs, getTauIDScoreVariables
 
    id_score_monitoring = {}
    
    precision_seq_name = getChainPrecisionSeqName(chainPart)
    identification = getChainIDConfigName(flags, chainPart)
    if identification in ['idperf', 'noperf', 'perf', 'perfcore', 'perfiso']:
        if identification == 'idperf':
            # Disable everything, even the pT cut
            currentHypo.AcceptAll = True
 
        # Monitor all the included algorithms
        used_builtin_rnnscore = False
        for tau_id in getPrecisionSequenceTauIDs(flags, precision_seq_name):
            # Skip algs without inference scores
            if tau_id in ['MesonCuts']: continue
 
            # We can only have at most one alg. using the built-in TauJet RNN score variables
            if useBuiltInTauJetRNNScore(tau_id, precision_seq_name):
                if used_builtin_rnnscore:
                    raise ValueError('Cannot have two TauID algorithms with scores stored in the built-in TauJet RNN score variables')
                used_builtin_rnnscore = True
 
            id_score_monitoring[tau_id] = getTauIDScoreVariables(tau_id, precision_seq_name)
                
    else:
        if useBuiltInTauJetRNNScore(identification, precision_seq_name):
            # To support the legacy tracktwoMVA/LLP/LRT chains, only in those cases we store the
            # ID score and passed WPs in the native TauJet variables
            currentHypo.IDMethod = 1 # TauJet built-in RNN score
        else:
            # Decorator-based triggers
            currentHypo.IDMethod = 2 # Use decorators
 
        # Monitor this algorithm only
        id_score_monitoring[identification] = getTauIDScoreVariables(identification, precision_seq_name)
 
    # For any triggers following the tracktwoMVA reconstruction (2023+ DeepSet and GNTau)
    if chainPart['reconstruction'] == 'tracktwoMVA':
        currentHypo.TrackPtCut = 1.5*GeV
        currentHypo.HighPtSelectionIDThr = 200*GeV
        currentHypo.HighPtSelectionJetThr = 430*GeV
 
    # Only monitor chains with the 'tauMon:online' groups
    if 'tauMon:online' in chainDict['monGroups']:
        currentHypo.MonTool = getTrigTauPrecisionIDHypoToolMonitoring(flags, name, id_score_monitoring.keys())
 
    # TauID Score monitoring
    currentHypo.MonitoredIDScores = id_score_monitoring
 
    return currentHypo
 
 
#-----------------------------------------------------------------
# Meson cut-based triggers configuration (ATR-22644 + ATR-23239)
#-----------------------------------------------------------------

TrigTauTrackingHypoToolFromDict()

TrigTauHypoTool.TrigTauTrackingHypoToolFromDict	(	AthConfigFlags	flags,
		dict[str, Any]	chainDict )

Definition at line 249 of file TrigTauHypoTool.py.

def TrigTauTrackingHypoToolFromDict(flags: AthConfigFlags, chainDict: dict[str, Any]):
    name = chainDict['chainName']
 
    from AthenaConfiguration.ComponentFactory import CompFactory
    currentHypo = CompFactory.TrigTauTrackingHypoTool(name)
 
    return currentHypo
 
 
 
#============================================================================================
# CaloMVA step hypothesis tool
#============================================================================================

Variable Documentation

DiKaonCuts

TrigTauHypoTool.DiKaonCuts = namedtuple('DiKaonCuts', 'massTrkSysMin massTrkSysMax massTrkSysKaonMin massTrkSysKaonMax massTrkSysKaonPiMin massTrkSysKaonPiMax targetMassTrkSysKaonPi leadTrkPtMin PtMin EMPOverTrkSysPMax')

Definition at line 185 of file TrigTauHypoTool.py.

log

TrigTauHypoTool.log = logging.getLogger('TrigHLTTauHypoTool')

Definition at line 12 of file TrigTauHypoTool.py.

SinglePionCuts

TrigTauHypoTool.SinglePionCuts = namedtuple('SinglePionCuts', 'leadTrkPtMin PtMin NTracksMax NIsoTracksMax dRmaxMax etOverPtLeadTrkMin etOverPtLeadTrkMax')

Definition at line 202 of file TrigTauHypoTool.py.

thresholds_dikaon

dict TrigTauHypoTool.thresholds_dikaon

Initial value:

=  {
    ('dikaonmass', 25): DiKaonCuts(0.0*GeV,   1000.0*GeV,  0.987*GeV, 1.060*GeV,   0.0*GeV,  1000.0*GeV, 0.0*GeV,   15.0*GeV, 25.0*GeV, 1.5),
    ('dikaonmass', 35): DiKaonCuts(0.0*GeV,   1000.0*GeV,  0.987*GeV, 1.060*GeV,   0.0*GeV,  1000.0*GeV, 0.0*GeV,   25.0*GeV, 35.0*GeV, 1.5),
 
    ('kaonpi1',    25): DiKaonCuts(0.0*GeV,   1000.0*GeV,  0.0*GeV,   1000.0*GeV,  0.79*GeV, 0.99*GeV,   0.89*GeV,  15.0*GeV, 25.0*GeV, 1.0),
    ('kaonpi1',    35): DiKaonCuts(0.0*GeV,   1000.0*GeV,  0.0*GeV,   1000.0*GeV,  0.79*GeV, 0.99*GeV,   0.89*GeV,  25.0*GeV, 35.0*GeV, 1.0),
 
    ('kaonpi2',    25): DiKaonCuts(0.0*GeV,   1000.0*GeV,  0.0*GeV,   1000.0*GeV,  1.8*GeV,  1.93*GeV,   1.865*GeV, 15.0*GeV, 25.0*GeV, 1.0),
    ('kaonpi2',    35): DiKaonCuts(0.0*GeV,   1000.0*GeV,  0.0*GeV,   1000.0*GeV,  1.8*GeV,  1.93*GeV,   1.865*GeV, 25.0*GeV, 35.0*GeV, 1.0),
 
    ('dipion1',    25): DiKaonCuts(0.475*GeV, 1.075*GeV,   0.0*GeV,   1000.0*GeV,  0.0*GeV,  1000.0*GeV, 0.0*GeV,   15.0*GeV, 25.0*GeV, 1.0),
    ('dipion2',    25): DiKaonCuts(0.460*GeV, 0.538*GeV,   0.0*GeV,   1000.0*GeV,  0.0*GeV,  1000.0*GeV, 0.0*GeV,   15.0*GeV, 25.0*GeV, 1.0),
    ('dipion3',    25): DiKaonCuts(0.279*GeV, 0.648*GeV,   0.0*GeV,   1000.0*GeV,  0.0*GeV,  1000.0*GeV, 0.0*GeV,   25.0*GeV, 25.0*GeV, 2.2),
    ('dipion4',    25): DiKaonCuts(0.460*GeV, 1.075*GeV,   0.0*GeV,   1000.0*GeV,  0.0*GeV,  1000.0*GeV, 0.0*GeV,   15.0*GeV, 25.0*GeV, 1.0),
}

Definition at line 186 of file TrigTauHypoTool.py.

thresholds_singlepion

dict TrigTauHypoTool.thresholds_singlepion

Initial value:

=  {
    ('singlepion', 25): SinglePionCuts(30.0*GeV, 25.0*GeV, 1, 0, 0.06, 0.4, 0.85),
}

Definition at line 203 of file TrigTauHypoTool.py.