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)

 )

fftjetcommon_cfi