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import FWCore.ParameterSet.Config as cms
hltCscSegments = cms.EDProducer("CSCSegmentProducer",
algo_psets = cms.VPSet(
cms.PSet(
algo_name = cms.string('CSCSegAlgoSK'),
algo_psets = cms.VPSet(
cms.PSet(
chi2Max = cms.double(99999.0),
dPhiFineMax = cms.double(0.025),
dPhiMax = cms.double(0.003),
dRPhiFineMax = cms.double(8.0),
dRPhiMax = cms.double(8.0),
minLayersApart = cms.int32(2),
verboseInfo = cms.untracked.bool(True),
wideSeg = cms.double(3.0)
),
cms.PSet(
chi2Max = cms.double(99999.0),
dPhiFineMax = cms.double(0.025),
dPhiMax = cms.double(0.025),
dRPhiFineMax = cms.double(3.0),
dRPhiMax = cms.double(8.0),
minLayersApart = cms.int32(2),
verboseInfo = cms.untracked.bool(True),
wideSeg = cms.double(3.0)
)
),
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
)
),
cms.PSet(
algo_name = cms.string('CSCSegAlgoTC'),
algo_psets = cms.VPSet(
cms.PSet(
SegmentSorting = cms.int32(1),
chi2Max = cms.double(6000.0),
chi2ndfProbMin = cms.double(0.0001),
dPhiFineMax = cms.double(0.02),
dPhiMax = cms.double(0.003),
dRPhiFineMax = cms.double(6.0),
dRPhiMax = cms.double(1.2),
minLayersApart = cms.int32(2),
verboseInfo = cms.untracked.bool(True)
),
cms.PSet(
SegmentSorting = cms.int32(1),
chi2Max = cms.double(6000.0),
chi2ndfProbMin = cms.double(0.0001),
dPhiFineMax = cms.double(0.013),
dPhiMax = cms.double(0.00198),
dRPhiFineMax = cms.double(3.0),
dRPhiMax = cms.double(0.6),
minLayersApart = cms.int32(2),
verboseInfo = cms.untracked.bool(True)
)
),
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
)
),
cms.PSet(
algo_name = cms.string('CSCSegAlgoDF'),
algo_psets = cms.VPSet(
cms.PSet(
CSCSegmentDebug = cms.untracked.bool(False),
Pruning = cms.untracked.bool(False),
chi2Max = cms.double(5000.0),
dPhiFineMax = cms.double(0.025),
dRPhiFineMax = cms.double(8.0),
dXclusBoxMax = cms.double(8.0),
dYclusBoxMax = cms.double(8.0),
maxDPhi = cms.double(999.0),
maxDTheta = cms.double(999.0),
maxRatioResidualPrune = cms.double(3.0),
minHitsForPreClustering = cms.int32(10),
minHitsPerSegment = cms.int32(3),
minLayersApart = cms.int32(2),
nHitsPerClusterIsShower = cms.int32(20),
preClustering = cms.untracked.bool(False),
tanPhiMax = cms.double(0.5),
tanThetaMax = cms.double(1.2)
),
cms.PSet(
CSCSegmentDebug = cms.untracked.bool(False),
Pruning = cms.untracked.bool(False),
chi2Max = cms.double(5000.0),
dPhiFineMax = cms.double(0.025),
dRPhiFineMax = cms.double(12.0),
dXclusBoxMax = cms.double(8.0),
dYclusBoxMax = cms.double(12.0),
maxDPhi = cms.double(999.0),
maxDTheta = cms.double(999.0),
maxRatioResidualPrune = cms.double(3.0),
minHitsForPreClustering = cms.int32(10),
minHitsPerSegment = cms.int32(3),
minLayersApart = cms.int32(2),
nHitsPerClusterIsShower = cms.int32(20),
preClustering = cms.untracked.bool(False),
tanPhiMax = cms.double(0.8),
tanThetaMax = cms.double(2.0)
),
cms.PSet(
CSCSegmentDebug = cms.untracked.bool(False),
Pruning = cms.untracked.bool(False),
chi2Max = cms.double(5000.0),
dPhiFineMax = cms.double(0.025),
dRPhiFineMax = cms.double(8.0),
dXclusBoxMax = cms.double(8.0),
dYclusBoxMax = cms.double(8.0),
maxDPhi = cms.double(999.0),
maxDTheta = cms.double(999.0),
maxRatioResidualPrune = cms.double(3.0),
minHitsForPreClustering = cms.int32(30),
minHitsPerSegment = cms.int32(3),
minLayersApart = cms.int32(2),
nHitsPerClusterIsShower = cms.int32(20),
preClustering = cms.untracked.bool(False),
tanPhiMax = cms.double(0.5),
tanThetaMax = cms.double(1.2)
)
),
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(
3, 1, 2, 2, 1,
2, 1, 2, 1, 2
)
),
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
)
),
cms.PSet(
algo_name = cms.string('CSCSegAlgoRU'),
algo_psets = cms.VPSet(
cms.PSet(
chi2Max = cms.double(100.0),
chi2Norm_2D_ = cms.double(35),
chi2_str = cms.double(50.0),
dPhiIntMax = cms.double(0.005),
dPhiMax = cms.double(0.006),
dRIntMax = cms.double(2.0),
dRMax = cms.double(1.5),
doCollisions = cms.bool(True),
enlarge = cms.bool(False),
minLayersApart = cms.int32(1),
wideSeg = cms.double(3.0)
),
cms.PSet(
chi2Max = cms.double(100.0),
chi2Norm_2D_ = cms.double(35),
chi2_str = cms.double(50.0),
dPhiIntMax = cms.double(0.004),
dPhiMax = cms.double(0.005),
dRIntMax = cms.double(2.0),
dRMax = cms.double(1.5),
doCollisions = cms.bool(True),
enlarge = cms.bool(False),
minLayersApart = cms.int32(1),
wideSeg = cms.double(3.0)
),
cms.PSet(
chi2Max = cms.double(100.0),
chi2Norm_2D_ = cms.double(35),
chi2_str = cms.double(50.0),
dPhiIntMax = cms.double(0.003),
dPhiMax = cms.double(0.004),
dRIntMax = cms.double(2.0),
dRMax = cms.double(1.5),
doCollisions = cms.bool(True),
enlarge = cms.bool(False),
minLayersApart = cms.int32(1),
wideSeg = cms.double(3.0)
),
cms.PSet(
chi2Max = cms.double(60.0),
chi2Norm_2D_ = cms.double(20),
chi2_str = cms.double(30.0),
dPhiIntMax = cms.double(0.002),
dPhiMax = cms.double(0.003),
dRIntMax = cms.double(2.0),
dRMax = cms.double(1.5),
doCollisions = cms.bool(True),
enlarge = cms.bool(False),
minLayersApart = cms.int32(1),
wideSeg = cms.double(3.0)
),
cms.PSet(
chi2Max = cms.double(180.0),
chi2Norm_2D_ = cms.double(60),
chi2_str = cms.double(80.0),
dPhiIntMax = cms.double(0.005),
dPhiMax = cms.double(0.007),
dRIntMax = cms.double(2.0),
dRMax = cms.double(1.5),
doCollisions = cms.bool(True),
enlarge = cms.bool(False),
minLayersApart = cms.int32(1),
wideSeg = cms.double(3.0)
),
cms.PSet(
chi2Max = cms.double(100.0),
chi2Norm_2D_ = cms.double(35),
chi2_str = cms.double(50.0),
dPhiIntMax = cms.double(0.004),
dPhiMax = cms.double(0.006),
dRIntMax = cms.double(2.0),
dRMax = cms.double(1.5),
doCollisions = cms.bool(True),
enlarge = cms.bool(False),
minLayersApart = cms.int32(1),
wideSeg = cms.double(3.0)
)
),
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(
1, 2, 3, 4, 5,
6, 5, 6, 5, 6
)
)
),
algo_type = cms.int32(5),
inputObjects = cms.InputTag("hltCsc2DRecHits")
)
|