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import FWCore.ParameterSet.Config as cms
CSCSegAlgoST = cms.PSet(
algo_name = cms.string('CSCSegAlgoST'),
algo_psets = cms.VPSet(
cms.PSet(
BPMinImprovement = cms.double(10000.0),
BrutePruning = cms.bool(True),
CSCDebug = cms.untracked.bool(False),
CorrectTheErrors = cms.bool(True),
Covariance = cms.double(0.0),
ForceCovariance = cms.bool(False),
ForceCovarianceAll = cms.bool(False),
NormChi2Cut2D = cms.double(20.0),
NormChi2Cut3D = cms.double(10.0),
Pruning = cms.bool(True),
SeedBig = cms.double(0.0015),
SeedSmall = cms.double(0.0002),
curvePenalty = cms.double(2.0),
curvePenaltyThreshold = cms.double(0.85),
dPhiFineMax = cms.double(0.025),
dRPhiFineMax = cms.double(8.0),
dXclusBoxMax = cms.double(4.0),
dYclusBoxMax = cms.double(8.0),
hitDropLimit4Hits = cms.double(0.6),
hitDropLimit5Hits = cms.double(0.8),
hitDropLimit6Hits = cms.double(0.3333),
maxDPhi = cms.double(999.0),
maxDTheta = cms.double(999.0),
maxRatioResidualPrune = cms.double(3),
maxRecHitsInCluster = cms.int32(20),
minHitsPerSegment = cms.int32(3),
onlyBestSegment = cms.bool(False),
preClustering = cms.bool(True),
preClusteringUseChaining = cms.bool(True),
prePrun = cms.bool(True),
prePrunLimit = cms.double(3.17),
tanPhiMax = cms.double(0.5),
tanThetaMax = cms.double(1.2),
useShowering = cms.bool(False),
yweightPenalty = cms.double(1.5),
yweightPenaltyThreshold = cms.double(1.0)
),
cms.PSet(
BPMinImprovement = cms.double(10000.0),
BrutePruning = cms.bool(True),
CSCDebug = cms.untracked.bool(False),
CorrectTheErrors = cms.bool(True),
Covariance = cms.double(0.0),
ForceCovariance = cms.bool(False),
ForceCovarianceAll = cms.bool(False),
NormChi2Cut2D = cms.double(20.0),
NormChi2Cut3D = cms.double(10.0),
Pruning = cms.bool(True),
SeedBig = cms.double(0.0015),
SeedSmall = cms.double(0.0002),
curvePenalty = cms.double(2.0),
curvePenaltyThreshold = cms.double(0.85),
dPhiFineMax = cms.double(0.025),
dRPhiFineMax = cms.double(8.0),
dXclusBoxMax = cms.double(4.0),
dYclusBoxMax = cms.double(8.0),
hitDropLimit4Hits = cms.double(0.6),
hitDropLimit5Hits = cms.double(0.8),
hitDropLimit6Hits = cms.double(0.3333),
maxDPhi = cms.double(999.0),
maxDTheta = cms.double(999.0),
maxRatioResidualPrune = cms.double(3),
maxRecHitsInCluster = cms.int32(24),
minHitsPerSegment = cms.int32(3),
onlyBestSegment = cms.bool(False),
preClustering = cms.bool(True),
preClusteringUseChaining = cms.bool(True),
prePrun = cms.bool(True),
prePrunLimit = cms.double(3.17),
tanPhiMax = cms.double(0.5),
tanThetaMax = cms.double(1.2),
useShowering = cms.bool(False),
yweightPenalty = cms.double(1.5),
yweightPenaltyThreshold = cms.double(1.0)
)
),
chamber_types = cms.vstring(
'ME1/a',
'ME1/b',
'ME1/2',
'ME1/3',
'ME2/1',
'ME2/2',
'ME3/1',
'ME3/2',
'ME4/1',
'ME4/2'
),
parameters_per_chamber_type = cms.vint32(
2, 1, 1, 1, 1,
1, 1, 1, 1, 1
)
)
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