python.LArRODBCIDCorrAlgConfig Namespace Reference

Functions
	LArRODBCIDCorrAlgCfg (flags, name="LArRODBCIDCorrAlg", **kwargs)

Function Documentation

LArRODBCIDCorrAlgCfg()

LArRODBCIDCorrAlgCfg	(		flags,
			name = "LArRODBCIDCorrAlg",
		**	kwargs )

Definition at line 11 of file LArRODBCIDCorrAlgConfig.py.

def LArRODBCIDCorrAlgCfg(flags, name="LArRODBCIDCorrAlg", **kwargs):
    from IOVDbSvc.IOVDbSvcConfig import addFolderList
 
    # MC only: the min-bias average is read from /LAR/ElecCalibMC/LArPileupAverage
    # and the symmetrised MC conditions keys are used throughout.
    if not flags.Input.isMC:
        raise RuntimeError(
            "LArRODBCIDCorrAlgCfg is only supported for MC "
            "(LAr.ROD.ApplyRODBCIDCorr must be False for data)"
        )
 
    acc = LArADC2MeVCondAlgCfg(flags)
    acc.merge(LArOnOffIdMappingCfg(flags))
 
    # The pulse shape (LArShapeSym) is the only calibration input besides
    # ADC2MeV and the min-bias average; no OFCs are needed since the correction
    # is applied to the ADC samples, before any filtering.
    acc.merge(LArElecCalibDBCfg(flags, ("Shape",)))
 
    acc.merge(
        addFolderList(
            flags,
            (("/LAR/ElecCalibMC/LArPileupAverage", "LAR_OFL", "LArMinBiasAverageMC"),),
        )
    )
 
    acc.merge(LArMCSymCondAlgCfg(flags))
 
    LArMinBiasAverageSymAlg = CompFactory.getComp(
        "LArSymConditionsAlg<LArMinBiasAverageMC, LArMinBiasAverageSym>"
    )
    acc.addCondAlgo(
        LArMinBiasAverageSymAlg(
            "LArPileUpAvgSymCondAlg",
            ReadKey="LArPileupAverage",
            WriteKey="LArPileupAverageSym",
        )
    )
 
    kwargs.setdefault("ShapeKey", "LArShapeSym")
    kwargs.setdefault("ADC2MeVKey", "LArADC2MeV")
    kwargs.setdefault("CablingKey", "LArOnOffIdMap")
    kwargs.setdefault("MinBiasAvgKey", "LArPileupAverageSym")
    kwargs.setdefault("EventInfo", "EventInfo")
 
    # MUST match LArHitEMapToDigitAlg.firstSample (LArDigitizationConfig.py):
    # it is the shape index seen by digit sample 0, hence negative when
    # preceding samples are read out. This is NOT the "skip the first N samples"
    # firstSample used by the raw channel builders.
    kwargs.setdefault(
        "firstSample",
        (
            -flags.LAr.ROD.nPreceedingSamples
            if flags.LAr.ROD.nPreceedingSamples != 0
            else flags.LAr.ROD.FirstSample
        ),
    )
 
    if flags.Common.ProductionStep is ProductionStep.PileUpPresampling:
        kwargs.setdefault(
            "LArDigitKey", flags.Overlay.BkgPrefix + "LArDigitContainer_MC"
        )
    else:
        kwargs.setdefault("LArDigitKey", "LArDigitContainer_MC")
 
    # FIXME: MinBunchCrossing/MaxBunchCrossing are deliberately left at their
    # defaults, which impose no restriction and so reproduce CaloBCIDCoeffs.
    # The digitisation only overlays min-bias over a finite bunch crossing
    # window (-30..+4 for EM, see the PileUpXingFolder ranges in
    # LArDigitizationConfig.py), so with nPreceedingSamples = 24 the earliest
    # preceding samples are over-corrected by up to ~78% of the peak pile-up.
    # See the class documentation in LArRODBCIDCorrAlg.h; this should probably
    # be addressed, but it is a physics choice rather than a bug.
 
    kwargs.setdefault("OutputDigitKey", "LArDigitContainer_PileupCorrected")
 
    kwargs.setdefault("BeamIntensityPattern", flags.Digitization.PU.BeamIntensityPattern)
 
    acc.addEventAlgo(CompFactory.LArRODBCIDCorrAlg(name, **kwargs))
 
    return acc