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File indexing completed on 2024-04-06 12:15:57

0001 import FWCore.ParameterSet.Config as cms
0002 
0003 CSCSegAlgoST = cms.PSet(
0004     algo_name = cms.string('CSCSegAlgoST'),
0005     algo_psets = cms.VPSet(
0006         cms.PSet(
0007             BPMinImprovement = cms.double(10000.0),
0008             BrutePruning = cms.bool(True),
0009             CSCDebug = cms.untracked.bool(False),
0010             CorrectTheErrors = cms.bool(True),
0011             Covariance = cms.double(0.0),
0012             ForceCovariance = cms.bool(False),
0013             ForceCovarianceAll = cms.bool(False),
0014             NormChi2Cut2D = cms.double(20.0),
0015             NormChi2Cut3D = cms.double(10.0),
0016             Pruning = cms.bool(True),
0017             SeedBig = cms.double(0.0015),
0018             SeedSmall = cms.double(0.0002),
0019             curvePenalty = cms.double(2.0),
0020             curvePenaltyThreshold = cms.double(0.85),
0021             dPhiFineMax = cms.double(0.025),
0022             dRPhiFineMax = cms.double(8.0),
0023             dXclusBoxMax = cms.double(4.0),
0024             dYclusBoxMax = cms.double(8.0),
0025             hitDropLimit4Hits = cms.double(0.6),
0026             hitDropLimit5Hits = cms.double(0.8),
0027             hitDropLimit6Hits = cms.double(0.3333),
0028             maxDPhi = cms.double(999.0),
0029             maxDTheta = cms.double(999.0),
0030             maxRatioResidualPrune = cms.double(3),
0031             maxRecHitsInCluster = cms.int32(20),
0032             minHitsPerSegment = cms.int32(3),
0033             onlyBestSegment = cms.bool(False),
0034             preClustering = cms.bool(True),
0035             preClusteringUseChaining = cms.bool(True),
0036             prePrun = cms.bool(True),
0037             prePrunLimit = cms.double(3.17),
0038             tanPhiMax = cms.double(0.5),
0039             tanThetaMax = cms.double(1.2),
0040             useShowering = cms.bool(False),
0041             yweightPenalty = cms.double(1.5),
0042             yweightPenaltyThreshold = cms.double(1.0)
0043         ),
0044         cms.PSet(
0045             BPMinImprovement = cms.double(10000.0),
0046             BrutePruning = cms.bool(True),
0047             CSCDebug = cms.untracked.bool(False),
0048             CorrectTheErrors = cms.bool(True),
0049             Covariance = cms.double(0.0),
0050             ForceCovariance = cms.bool(False),
0051             ForceCovarianceAll = cms.bool(False),
0052             NormChi2Cut2D = cms.double(20.0),
0053             NormChi2Cut3D = cms.double(10.0),
0054             Pruning = cms.bool(True),
0055             SeedBig = cms.double(0.0015),
0056             SeedSmall = cms.double(0.0002),
0057             curvePenalty = cms.double(2.0),
0058             curvePenaltyThreshold = cms.double(0.85),
0059             dPhiFineMax = cms.double(0.025),
0060             dRPhiFineMax = cms.double(8.0),
0061             dXclusBoxMax = cms.double(4.0),
0062             dYclusBoxMax = cms.double(8.0),
0063             hitDropLimit4Hits = cms.double(0.6),
0064             hitDropLimit5Hits = cms.double(0.8),
0065             hitDropLimit6Hits = cms.double(0.3333),
0066             maxDPhi = cms.double(999.0),
0067             maxDTheta = cms.double(999.0),
0068             maxRatioResidualPrune = cms.double(3),
0069             maxRecHitsInCluster = cms.int32(24),
0070             minHitsPerSegment = cms.int32(3),
0071             onlyBestSegment = cms.bool(False),
0072             preClustering = cms.bool(True),
0073             preClusteringUseChaining = cms.bool(True),
0074             prePrun = cms.bool(True),
0075             prePrunLimit = cms.double(3.17),
0076             tanPhiMax = cms.double(0.5),
0077             tanThetaMax = cms.double(1.2),
0078             useShowering = cms.bool(False),
0079             yweightPenalty = cms.double(1.5),
0080             yweightPenaltyThreshold = cms.double(1.0)
0081         )
0082     ),
0083     chamber_types = cms.vstring(
0084         'ME1/a',
0085         'ME1/b',
0086         'ME1/2',
0087         'ME1/3',
0088         'ME2/1',
0089         'ME2/2',
0090         'ME3/1',
0091         'ME3/2',
0092         'ME4/1',
0093         'ME4/2'
0094     ),
0095     parameters_per_chamber_type = cms.vint32(
0096         2, 1, 1, 1, 1,
0097         1, 1, 1, 1, 1
0098     )
0099 )