OfflinePixel3DPrimaryVertices_cfi.py

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import FWCore.ParameterSet.Config as cms
from RecoVertex.PrimaryVertexProducer.OfflinePrimaryVertices_cfi import offlinePrimaryVertices

pixelVertices = offlinePrimaryVertices.clone(
    TrackLabel = "pixelTracks",

    TkFilterParameters = dict(
        maxNormalizedChi2 = 100.0,
        minPixelLayersWithHits=3,
        minSiliconLayersWithHits = 3,
        maxD0Significance = 100.0, 
        maxEta = 100.,
    ),

    TkClusParameters = cms.PSet(
        algorithm   = cms.string("DA_vect"),
        TkDAClusParameters = cms.PSet(
            # the first 4 parameters are adjusted for pixel vertices
            dzCutOff = cms.double(4.),        # outlier rejection after freeze-out (T<Tmin)
            Tmin = cms.double(2.4),           # end of vertex splitting
            vertexSize = cms.double(0.01),    # added in quadrature to track-z resolution
            uniquetrkweight = cms.double(0.9),# require at least two tracks with this weight at T=Tpurge
            # the rest is the same as the default defined in OfflinePrimaryVertices
            coolingFactor = cms.double(0.6),  # moderate annealing speed
            zrange = cms.double(4.),          # consider only clusters within 4 sigma*sqrt(T) of a track
            delta_highT = cms.double(1.e-2),  # convergence requirement at high T
            delta_lowT = cms.double(1.e-3),   # convergence requirement at low T
            convergence_mode = cms.int32(0),  # 0 = two steps, 1 = dynamic with sqrt(T)
            Tpurge = cms.double(2.0),         # cleaning
            Tstop = cms.double(0.5),          # end of annealing
            d0CutOff = cms.double(3.),        # downweight high IP tracks
            zmerge = cms.double(1e-2),        # merge intermediat clusters separated by less than zmerge
            uniquetrkminp = cms.double(0.0),  # minimal a priori track weight for counting unique tracks
            runInBlocks = cms.bool(False),    # activate the DA running in blocks of z sorted tracks
            block_size = cms.uint32(10000),   # block size in tracks
            overlap_frac = cms.double(0.0)    # overlap between consecutive blocks (blocks_size*overlap_frac)
        )
    ),

    vertexCollections = cms.VPSet(
     [cms.PSet(label=cms.string(""),
               algorithm=cms.string("AdaptiveVertexFitter"),
               chi2cutoff = cms.double(3.0),
               minNdof=cms.double(2.0),
               useBeamConstraint = cms.bool(False),
               maxDistanceToBeam = cms.double(2.0)
               )
      ]
    )
)