DerivationFrameworkCaloConfig.py

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# Copyright (C) 2002-2024 CERN for the benefit of the ATLAS collaboration
 
from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
from AthenaConfiguration.ComponentFactory import CompFactory
 
 
def MaxCellDecoratorCfg(flags, **kwargs):
    acc = ComponentAccumulator()
    kwargs.setdefault("SGKey_electrons", flags.Egamma.Keys.Output.Electrons)
    kwargs.setdefault("SGKey_photons", flags.Egamma.Keys.Output.Photons)
    acc.setPrivateTools(CompFactory.DerivationFramework.MaxCellDecorator(**kwargs))
    from LArCabling.LArCablingConfig import LArOnOffIdMappingCfg
 
    acc.merge(LArOnOffIdMappingCfg(flags))
    return acc
 
 
def GainDecoratorCfg(flags, **kwargs):
    acc = ComponentAccumulator()
    kwargs.setdefault("SGKey_electrons", flags.Egamma.Keys.Output.Electrons)
    kwargs.setdefault("SGKey_photons", flags.Egamma.Keys.Output.Photons)
    kwargs.setdefault("name", "GainDecor")
    acc.setPrivateTools(CompFactory.DerivationFramework.GainDecorator(**kwargs))
    return acc
 
 
def EgammaCoreCellRecoveryCfg(flags, **kwargs):
    acc = ComponentAccumulator()
    # needed for reading cells, do not rely on other config to do that
    from LArGeoAlgsNV.LArGMConfig import LArGMCfg
    acc.merge(LArGMCfg(flags))
    from TileGeoModel.TileGMConfig import TileGMCfg
    acc.merge(TileGMCfg(flags))
    #
    acc.setPrivateTools(
        CompFactory.DerivationFramework.EGammaClusterCoreCellRecovery(**kwargs)
    )
    return acc
 
 
def CaloFillRectangularClusterCfg(flags, **kwargs):
    acc = ComponentAccumulator()
    kwargs.setdefault("cells_name", flags.Egamma.Keys.Input.CaloCells)
    kwargs.setdefault("fill_cluster", True)
    acc.setPrivateTools(CompFactory.CaloFillRectangularCluster(**kwargs))
    return acc
 
 
def ClusterEnergyPerLayerDecoratorCfg(flags, **kwargs):
    acc = ComponentAccumulator()
    kwargs.setdefault("SGKey_electrons", flags.Egamma.Keys.Output.Electrons)
    kwargs.setdefault("SGKey_photons", flags.Egamma.Keys.Output.Photons)
    kwargs.setdefault("SGKey_caloCells", flags.Egamma.Keys.Input.CaloCells)
    kwargs.setdefault("neta", 5)
    kwargs.setdefault("nphi", 5)
    toolArgs = {}
    toolArgs.update({"eta_size": kwargs["neta"]})
    toolArgs.update({"phi_size": kwargs["nphi"]})
    kwargs.setdefault(
        "CaloFillRectangularClusterTool",
        acc.popToolsAndMerge(CaloFillRectangularClusterCfg(flags, **toolArgs)),
    )
    acc.setPrivateTools(
        CompFactory.DerivationFramework.ClusterEnergyPerLayerDecorator(**kwargs)
    )
    return acc
 
 
def MaxCellDecoratorKernelCfg(flags, name="MaxCellDecoratorKernel", **kwargs):
    acc = ComponentAccumulator()
 
    augmentationTools = [
        acc.addPublicTool(acc.popToolsAndMerge(MaxCellDecoratorCfg(flags)))
    ]
 
    kwargs.setdefault("AugmentationTools", augmentationTools)
 
    acc.addEventAlgo(CompFactory.DerivationFramework.DerivationKernel(name, **kwargs))
    return acc
 
 
def CaloDecoratorKernelCfg(flags, name="CaloDecoratorKernel", **kwargs):
    acc = MaxCellDecoratorKernelCfg(flags)
 
    augmentationTools = [
        acc.addPublicTool(acc.popToolsAndMerge(GainDecoratorCfg(flags)))
    ]
 
    # might need some modification if cell-level reweighting is implemented
    cluster_sizes = (3, 7), (5, 5), (7, 11)
    for neta, nphi in cluster_sizes:
        cename = "ClusterEnergyPerLayerDecorator_%sx%s" % (neta, nphi)
        ClusterEnergyPerLayerDecorator = acc.popToolsAndMerge(
            ClusterEnergyPerLayerDecoratorCfg(flags, neta=neta, nphi=nphi, name=cename)
        )
        augmentationTools.append(acc.addPublicTool(ClusterEnergyPerLayerDecorator))
 
    kwargs.setdefault("AugmentationTools", augmentationTools)
 
    acc.addEventAlgo(CompFactory.DerivationFramework.DerivationKernel(name, **kwargs))
    return acc
 
 
def CaloClusterThinningCfg(flags, **kwargs):
    acc = ComponentAccumulator()
    CaloClusterThinning = CompFactory.DerivationFramework.CaloClusterThinning
    acc.addPublicTool(CaloClusterThinning(**kwargs), primary=True)
    return acc
 
def JetCaloClusterThinningCfg(flags, **kwargs):
    acc = ComponentAccumulator()
    JetCaloClusterThinning = CompFactory.DerivationFramework.JetCaloClusterThinning
    acc.addPublicTool(JetCaloClusterThinning(**kwargs), primary=True)
    return acc
 
 
 
 
def getGainLayerNames(tool):
    """getGainLayerNames( tool ) -> return a list of names of the decorations added to the
    egamma tool, given the GainDecorator tool"""
    return [
        tool.decoration_pattern.format(info=info, layer=layer, gain=gain)
        for info in ["E", "nCells"]
        for layer in tool.layers
        for gain in tool.gain_names.values()
    ]
 
 
def getGainDecorations(
    acc,
    flags,
    kernel,
    collections=None,
    info=["E", "nCells"],
):
    """getGainDecorations( acc, kernel collections=["Electrons", "Photons"] ) ->
    Return a list with the 'ExtraContent' to be added to the decorations to save the gain
    information per layer"""
 
    if collections is None:
        collections = [flags.Egamma.Keys.Output.Electrons, flags.Egamma.Keys.Output.Photons]
 
    GainDecoratorTool = None
    for toolStr in acc.getEventAlgo(kernel).AugmentationTools:
        toolStr = f"{toolStr}"
        splitStr = toolStr.split("/")
        tool = acc.getPublicTool(splitStr[1])
        if splitStr[0] == "DerivationFramework::GainDecorator":
            GainDecoratorTool = tool
 
    if GainDecoratorTool:
        return [
            "{part}.{info}".format(part=part, info=info)
            for part in collections
            for info in getGainLayerNames(GainDecoratorTool)
        ]
    else:
        return ""
 
 
def getClusterEnergyPerLayerDecorations(acc, kernel):
    """getClusterEnergyPerLayerDecorationsLegacy( acc, kernel ) -> return a list of names of the
    decorations added to the egamma object, given the ClusterEnergyPerLayerDecorations
    object (e.g. Photons.E7x11_Lr0, ...)"""
    properties = "SGKey_photons", "SGKey_electrons"
    ClusterEnergyPerLayerDecorators = []
    for toolStr in acc.getEventAlgo(kernel).AugmentationTools:
        toolStr = f"{toolStr}"
        splitStr = toolStr.split("/")
        tool = acc.getPublicTool(splitStr[1])
        if splitStr[0] == "DerivationFramework::ClusterEnergyPerLayerDecorator":
            ClusterEnergyPerLayerDecorators.append(tool)
 
    decorations = []
    for tool in ClusterEnergyPerLayerDecorators:
        collections = filter(bool, (getattr(tool, x) for x in properties))
        for part in collections:
            for layer in tool.layers:
                decorations.extend(
                    [
                        "{part}.E{neta}x{nphi}_Lr{layer}".format(
                            part=part,
                            neta=tool.neta,
                            nphi=tool.nphi,
                            layer=layer,
                        )
                    ]
                )
    return decorations