dc/dcb/fftjeteflowsmoother__cfi_8py_source.html

import math

import FWCore.ParameterSet.Config as cms


from RecoJets.FFTJetProducers.fftjetcommon_cfi import *


# FFTJet pattern recognition module configuration

fftjetEflowSmoother = cms.EDProducer(

    "FFTJetEFlowSmoother",

    #

    # The main eta and phi scale factors for the pattern recognition kernel

    kernelEtaScale = cms.double(math.sqrt(1.0/fftjet_phi_to_eta_bw_ratio)),

    kernelPhiScale = cms.double(math.sqrt(fftjet_phi_to_eta_bw_ratio)),

    #

    # Attempt to correct the jet finding efficiency near detector eta limits?

    fixEfficiency = cms.bool(False),

    #

    # Minimum and maximum eta bin number for 1d convolver. Also used

    # to indicate detector limits for 2d convolvers in case "fixEfficiency"

    # is True.

    convolverMinBin = cms.uint32(0),

    convolverMaxBin = cms.uint32(fftjet_large_int),

    #

    # Label for the produced objects

    outputLabel = cms.string("FFTJetEFlowSmoother"),

    #

    # Label for the input collection of Candidate objects

    src = cms.InputTag("towerMaker"),

    #

    # Label for the jets which will be produced. The algorithm might do

    # different things depending on the type. In particular, vertex

    # correction may be done for "CaloJet"

    jetType = cms.string("CaloJet"),

    #

    # Perform vertex correction?

    doPVCorrection = cms.bool(False),

    #

    # Label for the input collection of vertex objects. Meaningful

    # only when "doPVCorrection" is True

    srcPVs = cms.InputTag("offlinePrimaryVertices"),

    #

    # If this vector is empty, 2d convolver will be used.

    etaDependentScaleFactors = cms.vdouble(),

    #

    # Eta-dependent magnitude factors for the data. These can be used

    # to correct for various things (including the eta-dependent scale

    # factors above).

    etaDependentMagnutideFactors = cms.vdouble(),

    #

    # Configuration for the energy discretization grid. Don't forget

    # to modify "etConversionFactor" appropriately if you change this.

    GridConfiguration = fftjet_grid_256_128,

    #

    # Conversion factor to get from the grid values to Et.

    # This is number of bins in phi divided by bin width in eta.

    etConversionFactor = cms.double(128.0/(4.0*math.pi/256.0)),

    #

    # The set of scales to use

    InitialScales = fftjet_patreco_scales_50,

    #

    # Anomalous calo tower definition (comes from JetProducers default)

    anomalous = fftjet_anomalous_tower_default,

    #

    # The following has to be set to true

    insertCompleteEvent = cms.bool(True),

    #

    # Effective scale to use for the discretized event without smoothing

    completeEventScale = cms.double(fftjet_complete_event_scale),

    #

    # The power of the scale multiplied by the smoothed Et

    scalePower = cms.double(2.0)

)