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00001 import FWCore.ParameterSet.Config as cms
00002 
00003 # The following algorithms looks how far a rechit is from the
00004 # proto segment in terms of its error ellipse.  This is different
00005 # from the other algorithms which use a cylinder around the proto
00006 # segment and look for rechits within that cylinder
00007 ST_ME1234 = cms.PSet(
00008 
00009     #Parameters for showering segments
00010     useShowering = cms.bool(False),
00011     maxRatioResidualPrune = cms.double(3),
00012     dRPhiFineMax = cms.double(8.0),
00013     dPhiFineMax = cms.double(0.025),
00014     tanThetaMax = cms.double(1.2),
00015     tanPhiMax = cms.double(0.5),
00016     maxDPhi = cms.double(999.),
00017     maxDTheta = cms.double(999.),
00018 
00019 
00020     curvePenaltyThreshold = cms.double(0.85),
00021     minHitsPerSegment = cms.int32(3),
00022     yweightPenaltyThreshold = cms.double(1.0),
00023     curvePenalty = cms.double(2.0),
00024     dXclusBoxMax = cms.double(4.0),
00025     BrutePruning = cms.bool(True),
00026     BPMinImprovement = cms.double(10000.),
00027     yweightPenalty = cms.double(1.5),
00028     hitDropLimit5Hits = cms.double(0.8),
00029     preClustering = cms.bool(True),
00030     preClusteringUseChaining = cms.bool(True),
00031     hitDropLimit4Hits = cms.double(0.6),
00032     hitDropLimit6Hits = cms.double(0.3333),
00033     maxRecHitsInCluster = cms.int32(20),
00034     CSCDebug = cms.untracked.bool(False),
00035     onlyBestSegment = cms.bool(False),
00036     Pruning = cms.bool(True),
00037     dYclusBoxMax = cms.double(8.0),
00038     # Correction to improove fit
00039     CorrectTheErrors = cms.bool(True),
00040     NormChi2Cut2D = cms.double(20.0),
00041     NormChi2Cut3D = cms.double(10.0),
00042     prePrun = cms.bool(True),
00043     prePrunLimit = cms.double(3.17),
00044     SeedSmall = cms.double(0.000200),
00045     SeedBig = cms.double(0.001500),
00046     ForceCovariance = cms.bool(False),
00047     ForceCovarianceAll = cms.bool(False),
00048     Covariance = cms.double(0.0)
00049 
00050 )
00051 ST_ME1A = cms.PSet(
00052 
00053     #Parameters for showering segments
00054     useShowering = cms.bool(False),
00055     maxRatioResidualPrune = cms.double(3),
00056     dRPhiFineMax = cms.double(8.0),
00057     dPhiFineMax = cms.double(0.025),
00058     tanThetaMax = cms.double(1.2),
00059     tanPhiMax = cms.double(0.5),
00060     maxDPhi = cms.double(999.),
00061     maxDTheta = cms.double(999.),
00062 
00063 
00064     curvePenaltyThreshold = cms.double(0.85),
00065     minHitsPerSegment = cms.int32(3),
00066     yweightPenaltyThreshold = cms.double(1.0),
00067     curvePenalty = cms.double(2.0),
00068     dXclusBoxMax = cms.double(4.0),
00069     BrutePruning = cms.bool(True),
00070     BPMinImprovement = cms.double(10000.),
00071     yweightPenalty = cms.double(1.5),
00072     hitDropLimit5Hits = cms.double(0.8),
00073     preClustering = cms.bool(True),
00074     preClusteringUseChaining = cms.bool(True),
00075     hitDropLimit4Hits = cms.double(0.6),
00076     hitDropLimit6Hits = cms.double(0.3333),
00077     maxRecHitsInCluster = cms.int32(24),
00078     CSCDebug = cms.untracked.bool(False),
00079     onlyBestSegment = cms.bool(False),
00080     Pruning = cms.bool(True),
00081     dYclusBoxMax = cms.double(8.0),
00082     # Correction to improove fit
00083     CorrectTheErrors = cms.bool(True),
00084     NormChi2Cut2D = cms.double(20.0), 
00085     NormChi2Cut3D = cms.double(10.0), 
00086     prePrun = cms.bool(True),
00087     prePrunLimit = cms.double(3.17),
00088     SeedSmall = cms.double(0.000200),
00089     SeedBig = cms.double(0.001500),
00090     ForceCovariance = cms.bool(False),
00091     ForceCovarianceAll = cms.bool(False),
00092     Covariance = cms.double(0.0)
00093 
00094 )
00095 CSCSegAlgoST = cms.PSet(
00096     algo_name = cms.string('CSCSegAlgoST'),
00097     algo_psets = cms.VPSet( cms.PSet(ST_ME1234), cms.PSet(ST_ME1A) ),
00098     chamber_types = cms.vstring('ME1/a','ME1/b','ME1/2','ME1/3','ME2/1','ME2/2','ME3/1','ME3/2','ME4/1','ME4/2'),
00099     parameters_per_chamber_type = cms.vint32(2, 1, 1, 1, 1, 1, 1, 1, 1, 1)
00100 )
00101
/afs/cern.ch/work/a/aaltunda/public/www/CMSSW_5_3_14/src/RecoLocalMuon/CSCSegment/python/CSCSegmentAlgorithmST_cfi.py
