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'),
26 pedeLabeler = cms.PSet(
34 pedeSteerer = cms.PSet(
35 fileDir = cms.untracked.string(
''),
36 steerFile = cms.string(
'pedeSteer'),
37 steerFileDebug = cms.untracked.bool(
False),
43 pedeCommand = cms.untracked.string(
'pede_1GB'),
45 parameterSign = cms.untracked.int32(1),
46 pedeDump = cms.untracked.string(
'pede.dump'),
47 method = cms.string(
'sparseMINRES 6 0.8'),
48 options = cms.vstring(
'entries 50',
52 'outlierdownweighting 5',
'dwfractioncut 0.2'),
58 Presigmas = cms.VPSet(),
59 minHieraConstrCoeff = cms.double(1.e-7),
60 minHieraParPerConstr = cms.uint32(2),
61 constrPrecision = cms.uint32(0),
64 additionalSteerFiles = cms.vstring(),
68 constraints = cms.VPSet()
71 pedeReader = cms.PSet(
72 readFile = cms.string(
'millepede.res'),
75 fileDir = cms.untracked.string(
'')
81 pedeReaderInputs = cms.VPSet(),
83 TrajectoryFactory = BrokenLinesTrajectoryFactory,
86 minNumHits = cms.uint32(7),
87 max2Dcorrelation = cms.double(0.05),
88 doubleBinary = cms.bool(
False),
91 surveyPixelBarrel = cms.PSet(
92 doSurvey = cms.bool(
False),
93 infile = cms.FileInPath(
"Alignment/SurveyAnalysis/data/BPix_Survey_info_raw.txt"),
94 doOutputOnStdout = cms.bool(
False),
96 doToySurvey = cms.bool(
False),
97 toySurveyFile = cms.untracked.string(
'toySurveyInfo.txt'),
98 toySurveySeed = cms.uint32(12),
99 toySurveyParameters = cms.VPSet(
101 cms.PSet(name = cms.string(
'a0'), mean = cms.double(1800.), sigma = cms.double(150.)),
102 cms.PSet(name = cms.string(
'a1'), mean = cms.double(2600.), sigma = cms.double(200.)),
104 cms.PSet(name = cms.string(
'scale'), mean = cms.double(1150.), sigma = cms.double(50.)),
106 cms.PSet(name = cms.string(
'phi'), mean = cms.double(0.), sigma = cms.double(0.0025)),
108 cms.PSet(name = cms.string(
'u'), mean = cms.double(0.), sigma = cms.double(0.175)),
109 cms.PSet(name = cms.string('v'), mean = cms.double(0.), sigma = cms.double(0.175))