4 import FWCore.ParameterSet.Config
as cms
8 MillePedeAlignmentAlgorithm = cms.PSet(
9 algoName = cms.string(
'MillePedeAlignmentAlgorithm'),
10 mode = cms.untracked.string(
'full'),
11 fileDir = cms.untracked.string(
''),
14 binaryFile = cms.string(
'milleBinary.dat'),
16 treeFile = cms.string(
'treeFile.root'),
19 mergeBinaryFiles = cms.vstring(),
20 mergeTreeFiles = cms.vstring(),
22 monitorFile = cms.untracked.string(
'millePedeMonitor.root'),
24 runAtPCL = cms.bool(
False),
28 pedeLabeler = cms.PSet(
36 pedeSteerer = cms.PSet(
37 fileDir = cms.untracked.string(
''),
38 steerFile = cms.string(
'pedeSteer'),
39 steerFileDebug = cms.untracked.bool(
False),
45 pedeCommand = cms.untracked.string(
'pede'),
47 parameterSign = cms.untracked.int32(1),
48 pedeDump = cms.untracked.string(
'pede.dump'),
49 method = cms.string(
'sparseMINRES 6 0.8'),
50 options = cms.vstring(
'entries 50',
54 'outlierdownweighting 5',
'dwfractioncut 0.2'),
60 Presigmas = cms.VPSet(),
61 minHieraConstrCoeff = cms.double(1.e-7),
62 minHieraParPerConstr = cms.uint32(2),
63 constrPrecision = cms.uint32(0),
66 additionalSteerFiles = cms.vstring(),
70 constraints = cms.VPSet()
73 pedeReader = cms.PSet(
74 readFile = cms.string(
'millepede.res'),
77 fileDir = cms.untracked.string(
'')
83 pedeReaderInputs = cms.VPSet(),
85 TrajectoryFactory = BrokenLinesTrajectoryFactory,
88 minNumHits = cms.uint32(7),
89 max2Dcorrelation = cms.double(0.05),
90 doubleBinary = cms.bool(
False),
93 surveyPixelBarrel = cms.PSet(
94 doSurvey = cms.bool(
False),
95 infile = cms.FileInPath(
"Alignment/SurveyAnalysis/data/BPix_Survey_info_raw.txt"),
96 doOutputOnStdout = cms.bool(
False),
98 doToySurvey = cms.bool(
False),
99 toySurveyFile = cms.untracked.string(
'toySurveyInfo.txt'),
100 toySurveySeed = cms.uint32(12),
101 toySurveyParameters = cms.VPSet(
103 cms.PSet(name = cms.string(
'a0'), mean = cms.double(1800.), sigma = cms.double(150.)),
104 cms.PSet(name = cms.string(
'a1'), mean = cms.double(2600.), sigma = cms.double(200.)),
106 cms.PSet(name = cms.string(
'scale'), mean = cms.double(1150.), sigma = cms.double(50.)),
108 cms.PSet(name = cms.string(
'phi'), mean = cms.double(0.), sigma = cms.double(0.0025)),
110 cms.PSet(name = cms.string(
'u'), mean = cms.double(0.), sigma = cms.double(0.175)),
111 cms.PSet(name = cms.string('v'), mean = cms.double(0.), sigma = cms.double(0.175))