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")\
)\