python.HLT.MET.METRecoSequencesConfig Namespace Reference

Functions
dict[str, Any]	jetRecoDictForMET (**recoDict)
StepOutput	cellInputCfg (flags, **recoDict)
StepOutput	clusterInputCfg (flags, **recoDict)
StepOutput	trackingInputCfg (flags, **recoDict)
StepOutput	pfoInputCfg (flags, **recoDict)
StepOutput	mergedPFOInputCfg (flags, **recoDict)
StepOutput	cvfClusterInputCfg (flags, **recoDict)
StepOutput	jetInputCfg (flags, bool force_tracks=False, **recoDict)

Detailed Description

Configuration sequences for the MET input reconstruction

By convention all of these functions return two values: first a defaultdict mapping from
reco step to the component accumulators containing the reconstruction sequences and
second the name(s) of the key outputs created. The names can either be a single string
if there is only one output or a tuple otherwise. Which outputs are returned and their
order should be clearly documented in the method documentation

Function Documentation

cellInputCfg()

StepOutput python.HLT.MET.METRecoSequencesConfig.cellInputCfg	(		flags,
		**	recoDict )

Create the cell inputs

Definition at line 61 of file METRecoSequencesConfig.py.

def cellInputCfg(flags, **recoDict) -> StepOutput:
    """Create the cell inputs"""
    acc = hltCaloCellMakerCfg(flags, name="HLTCaloCellMakerFS", roisKey="")
    return StepOutput.create(acc, Cells=acc.getPrimary().CellsName)
 
 
@AccumulatorCache

clusterInputCfg()

StepOutput python.HLT.MET.METRecoSequencesConfig.clusterInputCfg	(		flags,
		**	recoDict )

Create the cluster inputs

Definition at line 68 of file METRecoSequencesConfig.py.

def clusterInputCfg(flags, **recoDict) -> StepOutput:
    """Create the cluster inputs"""
    if recoDict["calib"] == "em":
        acc = jetmetTopoClusteringCfg(flags, RoIs="")
        clusters = em_clusters
    elif recoDict["calib"] == "lcw":
        acc = jetmetTopoClusteringCfg_LC(flags, RoIs="")
        clusters = lc_clusters
    else:
        raise ValueError(f"Invalid cluster calibration '{recoDict['calib']}'")
 
    if recoDict.get("constitmod"):
        # Force the constituent type to topoclusters
        jetRecoDict = jetRecoDictForMET(**(recoDict | {"constitType": "tc"}))
        constit = defineJetConstit(jetRecoDict, clustersKey=clusters)
        acc.addEventAlgo(
            getConstitModAlg_nojetdef(
                constit, flags, context=jetRecoDict.get("trkopt", "default"), 
            )
        )
        clusters = constit.containername
 
    return StepOutput.create(acc, Clusters=clusters)
 
 
@AccumulatorCache

cvfClusterInputCfg()

StepOutput python.HLT.MET.METRecoSequencesConfig.cvfClusterInputCfg	(		flags,
		**	recoDict )

Create the clusters with CVF decorated

Definition at line 162 of file METRecoSequencesConfig.py.

def cvfClusterInputCfg(flags, **recoDict) -> StepOutput:
    """Create the clusters with CVF decorated"""
    inputs = StepOutput.merge(
        clusterInputCfg(flags, **recoDict),
        trackingInputCfg(flags),
    )
    acc = ComponentAccumulator()
    acc.addEventAlgo(
        CompFactory.HLT.MET.CVFAlg(
            f"{recoDict['calib']}ftfClusterCVFAlg",
            InputClusterKey=inputs["Clusters"],
            InputTrackKey=inputs["Tracks"],
            InputVertexKey=inputs["Vertices"],
            OutputCVFKey="CVF",
            TrackSelectionTool=CompFactory.InDet.InDetTrackSelectionTool(
                CutLevel="TightPrimary"
            ),
            TVATool=acc.popToolsAndMerge(
                CVF_TTVAToolCfg(
                    flags,
                    TrackContName=inputs["Tracks"],
                    VertexContName=inputs["Vertices"]
                )
            ),
            ExtensionTool=CompFactory.ApproximateTrackToLayerTool(),
        )
    )
    acc.addEventAlgo(
        CompFactory.HLT.MET.CVFPrepAlg(
            f"{recoDict['calib']}ftfClusterCVFPrepAlg",
            InputClusterKey=inputs["Clusters"],
            InputCVFKey="CVF",
            OutputCategoryKey="PUClassification",
        )
    )
    return StepOutput.create(acc, inputs, CVF="CVF", PUCategory="PUClassification")
 
 
@AccumulatorCache

jetInputCfg()

StepOutput python.HLT.MET.METRecoSequencesConfig.jetInputCfg	(		flags,
		bool	force_tracks = False,
		**	recoDict )

Create the input jets

Set force_tracks to True to require tracks and ensure that they are ghost-associated
to the jets.

Returns the accumulators and (jets, jetDef)

Definition at line 201 of file METRecoSequencesConfig.py.

def jetInputCfg(flags, force_tracks: bool = False, **recoDict) -> StepOutput:
    """Create the input jets
 
    Set force_tracks to True to require tracks and ensure that they are ghost-associated
    to the jets.
 
    Returns the accumulators and (jets, jetDef)
    """
    if force_tracks:
        recoDict["trkopt"] = "ftf"
    # hard code to em (for now) - there are no LC jets in EDM
    jrd = jetRecoDictForMET(
        **(
            recoDict
            | {"calib": "em"}
        )
    )
    
    inputs = StepOutput()
    if jrd["trkopt"] == "ftf":
        inputs.merge_other(trackingInputCfg(flags))
    if jrd["constitType"] == "pf":
        inputs.merge_other(pfoInputCfg(flags))
    else:
        # Always use EM clusters for jets
        inputs.merge_other(clusterInputCfg(flags, calib="em"))
 
    acc = ComponentAccumulator()
    jetDefDict = JetRecoDataDeps(flags, **jrd)
    jetName, jetDef = jetDefDict['final']
    jet_acc = JetRecoCfg(flags, **jetDefDict)
    acc.merge(jet_acc)
    return StepOutput.create(
        acc, inputs, Jets=jetName, JetDef=jetDef, **jetDef._contextDic
    )

jetRecoDictForMET()

dict[str, Any] python.HLT.MET.METRecoSequencesConfig.jetRecoDictForMET

(

**

recoDict

)

Get a jet reco dict that's usable for the MET slice

Definition at line 34 of file METRecoSequencesConfig.py.

def jetRecoDictForMET(**recoDict) -> dict[str, Any]:
    """Get a jet reco dict that's usable for the MET slice"""
    from ..Jet.JetRecoCommon import getJetCalibDefaultString, jetRecoDictToString
    from ..Jet.JetRecoCommon import recoKeys as jetRecoKeys
    from ..Menu.SignatureDicts import JetChainParts_Default
    
    jrd = {k: recoDict.get(k, JetChainParts_Default[k]) for k in jetRecoKeys}
    # Rename the cluster calibration
    try:
        jrd["clusterCalib"] = recoDict["calib"]
    except KeyError:
        pass
    # Fill constitMod
    jrd["constitMod"] = recoDict.get("constitmod", "")
    # We only use em calibration for PFOs
    if jrd["constitType"] == "pf":
        jrd["clusterCalib"] = "em"
    # Interpret jet calibration
    if jrd["jetCalib"] == "default":
        jrd["jetCalib"] = getJetCalibDefaultString(jrd['recoAlg'],jrd['constitType'],jrd['trkopt'])
    if jrd["constitType"] != "tc" or "gsc" in jrd["jetCalib"]:
        jrd["trkopt"] = "ftf"
    jrd["jetDefStr"] = jetRecoDictToString(jrd)
    return jrd
 
 
@AccumulatorCache

mergedPFOInputCfg()

StepOutput python.HLT.MET.METRecoSequencesConfig.mergedPFOInputCfg	(		flags,
		**	recoDict )

Create the merged PFO inputs

Definition at line 144 of file METRecoSequencesConfig.py.

def mergedPFOInputCfg(flags, **recoDict) -> StepOutput:
    """Create the merged PFO inputs"""
    pfos = pfoInputCfg(flags, **recoDict)
    alg = CompFactory.HLT.MET.FlowElementPrepAlg(
        f"{pfos['PFOPrefix']}METTrigPFOPrepAlg",
        InputNeutralKey=pfos["nPFOs"],
        InputChargedKey=pfos["cPFOs"],
        OutputKey=f"{pfos['PFOPrefix']}METTrigCombinedParticleFlowObjects",
        OutputCategoryKey="PUClassification",
    )
    acc = ComponentAccumulator()
    acc.addEventAlgo(alg, primary=True)
    return StepOutput.create(
        acc, pfos, MergedPFOs=alg.OutputKey, PUCategory=alg.OutputCategoryKey
    )
 
 
@AccumulatorCache

pfoInputCfg()

StepOutput python.HLT.MET.METRecoSequencesConfig.pfoInputCfg	(		flags,
		**	recoDict )

Get the PFO inputs

Definition at line 104 of file METRecoSequencesConfig.py.

def pfoInputCfg(flags, **recoDict) -> StepOutput:
    """Get the PFO inputs"""
    inputs = StepOutput.merge(
        cellInputCfg(flags),
        clusterInputCfg(flags, calib="em"),
        trackingInputCfg(flags),
    )
    acc = PFCfg(
        flags,
        tracktype="ftf",
        clustersin=inputs["Clusters"],
        calclustersin="",
        tracksin=inputs["Tracks"],
        verticesin=inputs["Vertices"],
        cellsin=inputs["Cells"],
    )
 
    # The jet constituent modifier sequence here is to apply the correct weights and
    # decorate the PV matching decoration. If we've specified constituent modifiers
    # those are also applied.
    jetRecoDict = jetRecoDictForMET(
        **(recoDict | {"trkopt": "ftf", "constitType": "pf"})
    )
    constit = defineJetConstit(jetRecoDict, pfoPrefix="HLT_ftf")
    acc.addEventAlgo(
        getConstitModAlg_nojetdef(constit, flags, context=jetRecoDict.get("trkopt", "default"))
    )
    pfoPrefix = constit.containername
    if pfoPrefix.endswith("ParticleFlowObjects"):
        pfoPrefix = pfoPrefix[:-19]
    return StepOutput.create(
        acc,
        inputs,
        PFOPrefix=pfoPrefix,
        cPFOs=pfoPrefix + "ChargedParticleFlowObjects",
        nPFOs=pfoPrefix + "NeutralParticleFlowObjects",
    )
 
 
@AccumulatorCache

trackingInputCfg()

StepOutput python.HLT.MET.METRecoSequencesConfig.trackingInputCfg	(		flags,
		**	recoDict )

Get the tracking inputs

Definition at line 94 of file METRecoSequencesConfig.py.

def trackingInputCfg(flags, **recoDict) -> StepOutput:
    """Get the tracking inputs"""
    return StepOutput.create(
        JetFSTrackingCfg(flags, "ftf", RoIs=trkFSRoI),
        step_idx=2,
        **flags.Jet.Context.ftf,
    )
 
 
@AccumulatorCache