Project CMSSW displayed by LXR CMSSW_15_0_X_2024-12-01-2300/​RecoVertex/​PrimaryVertexProducer/​python/​OfflinePrimaryVertices_cfi.py	Source navigation Diff markup Identifier search General search
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File indexing completed on 2024-10-09 23:02:45

 import FWCore.ParameterSet.Config as cms
 
 offlinePrimaryVertices = cms.EDProducer(
     "PrimaryVertexProducer",
 
     verbose = cms.untracked.bool(False),
     TrackLabel = cms.InputTag("generalTracks"),
     beamSpotLabel = cms.InputTag("offlineBeamSpot"),
 
     TkFilterParameters = cms.PSet(
         algorithm=cms.string('filter'),
         maxNormalizedChi2 = cms.double(10.0),
         minPixelLayersWithHits=cms.int32(2),
         minSiliconLayersWithHits = cms.int32(5),
         maxD0Significance = cms.double(4.0),
         maxD0Error = cms.double(1.0),
         maxDzError = cms.double(1.0),
         minPt = cms.double(0.0),
         maxEta = cms.double(2.4),
         trackQuality = cms.string("any")
     ),
 
     TkClusParameters = cms.PSet(
         algorithm   = cms.string("DA_vect"),
         TkDAClusParameters = cms.PSet(
             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)
             Tmin = cms.double(2.0),           # end of vertex splitting
             Tpurge = cms.double(2.0),         # cleaning
             Tstop = cms.double(0.5),          # end of annealing
             vertexSize = cms.double(0.006),   # added in quadrature to track-z resolutions
             d0CutOff = cms.double(3.),        # downweight high IP tracks
             dzCutOff = cms.double(3.),        # outlier rejection after freeze-out (T<Tmin)
             zmerge = cms.double(1e-2),        # merge intermediat clusters separated by less than zmerge
             uniquetrkweight = cms.double(0.8),# require at least two tracks with this weight at T=Tpurge
             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(2.5),
                minNdof=cms.double(0.0),
                useBeamConstraint = cms.bool(False),
                maxDistanceToBeam = cms.double(1.0)
                ),
       cms.PSet(label=cms.string("WithBS"),
                algorithm = cms.string('AdaptiveVertexFitter'),
                chi2cutoff = cms.double(2.5),
                minNdof=cms.double(2.0),
                useBeamConstraint = cms.bool(True),
                maxDistanceToBeam = cms.double(1.0),
                )
       ]
     ),
 
     isRecoveryIteration = cms.bool(False),
     recoveryVtxCollection = cms.InputTag("")
 
 
 )
 
 from Configuration.ProcessModifiers.vertexInBlocks_cff import vertexInBlocks
 vertexInBlocks.toModify(offlinePrimaryVertices,
     TkClusParameters = dict(
         TkDAClusParameters = dict(
             runInBlocks = True,
             block_size = 128,
             overlap_frac = 0.5
         )
     )
 )
 
 from Configuration.Eras.Modifier_phase2_tracker_cff import phase2_tracker
 (phase2_tracker & vertexInBlocks).toModify(offlinePrimaryVertices,
      TkClusParameters = dict(
          TkDAClusParameters = dict(
              block_size = 512,
              overlap_frac = 0.5)
          )
 )
 
 from Configuration.Eras.Modifier_highBetaStar_cff import highBetaStar
 highBetaStar.toModify(offlinePrimaryVertices,
     TkClusParameters = dict(
         TkDAClusParameters = dict(
             Tmin = 4.0,
             Tpurge = 1.0,
             Tstop = 1.0,
             vertexSize = 0.01,
             d0CutOff = 4.,
             dzCutOff = 5.,
             zmerge = 2.e-2,
             uniquetrkweight = 0.9
        )
     )
 )
 
 DA_vectParameters = cms.PSet(offlinePrimaryVertices.TkClusParameters.clone())
 
 from Configuration.ProcessModifiers.weightedVertexing_cff import weightedVertexing
 weightedVertexing.toModify(offlinePrimaryVertices,
                            vertexCollections = cms.VPSet(
                            [cms.PSet(label=cms.string(""),
                                      algorithm=cms.string("WeightedMeanFitter"),
                                      chi2cutoff = cms.double(2.5),
                                      minNdof=cms.double(0.0),
                                      useBeamConstraint = cms.bool(False),
                                      maxDistanceToBeam = cms.double(1.0)
                            ),
                            cms.PSet(label=cms.string("WithBS"),
                                      algorithm = cms.string('WeightedMeanFitter'),
                                      minNdof=cms.double(0.0),
                                      chi2cutoff = cms.double(2.5),
                                      useBeamConstraint = cms.bool(True),
                                      maxDistanceToBeam = cms.double(1.0)
                                      )
                            ]
                            ))
 # This customization is needed in the trackingLowPU era to be able to
 # produce vertices also in the cases in which the pixel detector is
 # not included in data-taking, like it was the case for "Quiet Beam"
 # collisions on 2016 with run 269207.
 
 from Configuration.Eras.Modifier_trackingLowPU_cff import trackingLowPU
 trackingLowPU.toModify(offlinePrimaryVertices,
                             TkFilterParameters = dict(minPixelLayersWithHits = 0))
 
 
 # higher eta cut for the phase 2 tracker
 from Configuration.Eras.Modifier_phase2_tracker_cff import phase2_tracker
 phase2_tracker.toModify(offlinePrimaryVertices,
                         TkFilterParameters = dict(maxEta = 4.0))
 
 from Configuration.Eras.Modifier_pp_on_XeXe_2017_cff import pp_on_XeXe_2017
 from Configuration.ProcessModifiers.pp_on_AA_cff import pp_on_AA
 (pp_on_XeXe_2017 | pp_on_AA).toModify(offlinePrimaryVertices,
                TkFilterParameters = dict(
                    algorithm="filterWithThreshold",
                    maxD0Significance = 2.0,
                    maxD0Error = 10.0,
                    maxDzError = 10.0,
                    minPixelLayersWithHits=3,
                    minPt = 0.7,
                    trackQuality = "highPurity",
                    numTracksThreshold = cms.int32(10),
                    maxNumTracksThreshold = cms.int32(1000),
                    minPtTight = cms.double(1.0)
                ),
                TkClusParameters = cms.PSet(
                  algorithm = cms.string("gap"),
                  TkGapClusParameters = cms.PSet(
                    zSeparation = cms.double(1.0)
                  )
                )
 )
 
 highBetaStar.toModify(offlinePrimaryVertices,
      TkFilterParameters = dict(
          maxNormalizedChi2 = 80.0,
          minPixelLayersWithHits = 1,
          minSiliconLayersWithHits = 3,
          maxD0Significance = 7.0,
          maxD0Error = 10.0,
          maxDzError = 10.0,
          maxEta = 2.5
      ),
      vertexCollections = {
          0: dict(chi2cutoff = 4.0, minNdof = -1.1),
          1: dict(chi2cutoff = 4.0, minNdof = -2.0),
      }
 )
 
 from Configuration.Eras.Modifier_run3_upc_cff import run3_upc
 run3_upc.toModify(offlinePrimaryVertices,
     TkFilterParameters = dict(
         algorithm="filterWithThreshold",
         maxNormalizedChi2 = 80.0,
         minPixelLayersWithHits = 1,
         minSiliconLayersWithHits = 3,
         maxD0Significance = 4.0,
         maxD0Error = 10.0,
         maxDzError = 10.0,
         minPt = 0.0,
         maxEta = 3.0,
         trackQuality = "highPurity",
         numTracksThreshold = cms.int32(3),
         maxNumTracksThreshold = cms.int32(1000),
         minPtTight = cms.double(1.0)
     ),
     TkClusParameters = cms.PSet(
         algorithm = cms.string("gap"),
         TkGapClusParameters = cms.PSet(
             zSeparation = cms.double(6.0)
         )
     ),
     vertexCollections = {
         0: dict(chi2cutoff = 4.0, minNdof = -1.1),
         1: dict(chi2cutoff = 4.0, minNdof = -2.0),
     }
 )

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