SiStrip/python/MiscalibrationSettings_cff.py

0001 import FWCore.ParameterSet.Config as cms
0002 import copy
0003
0004 # Layer: Layer.TIB1 ratio of ratios: 1.02533166915
0005 # Layer: Layer.TIB2 ratio of ratios: 1.01521093183
0006 # Layer: Layer.TIB3 ratio of ratios: 1.01552419364
0007 # Layer: Layer.TIB4 ratio of ratios: 0.95224779507
0008 # Layer: Layer.TOB1 ratio of ratios: 1.01219411074
0009 # Layer: Layer.TOB2 ratio of ratios: 1.00835168635
0010 # Layer: Layer.TOB3 ratio of ratios: 0.996159099354
0011 # Layer: Layer.TOB4 ratio of ratios: 0.997676926445
0012 # Layer: Layer.TOB5 ratio of ratios: 0.993886888572
0013 # Layer: Layer.TOB6 ratio of ratios: 0.997490411188
0014 # Layer: Layer.TIDP1 ratio of ratios: 1.0314881072
0015 # Layer: Layer.TIDP2 ratio of ratios: 1.02853114088
0016 # Layer: Layer.TIDP3 ratio of ratios: 1.0518768914
0017 # Layer: Layer.TIDM1 ratio of ratios: 1.03421675878
0018 # Layer: Layer.TIDM2 ratio of ratios: 1.04546785025
0019 # Layer: Layer.TIDM3 ratio of ratios: 1.0311586591
0020 # Layer: Layer.TECP1 ratio of ratios: 1.04989866792
0021 # Layer: Layer.TECP2 ratio of ratios: 1.03711260343
0022 # Layer: Layer.TECP3 ratio of ratios: 1.04297992451
0023 # Layer: Layer.TECP4 ratio of ratios: 1.04669045804
0024 # Layer: Layer.TECP5 ratio of ratios: 1.03838249025
0025 # Layer: Layer.TECP6 ratio of ratios: 1.04727471357
0026 # Layer: Layer.TECP7 ratio of ratios: 1.03632636024
0027 # Layer: Layer.TECP8 ratio of ratios: 1.04860504406
0028 # Layer: Layer.TECP9 ratio of ratios: 1.03398568113
0029 # Layer: Layer.TECM1 ratio of ratios: 1.04750199121
0030 # Layer: Layer.TECM2 ratio of ratios: 1.03771633506
0031 # Layer: Layer.TECM3 ratio of ratios: 1.0409554129
0032 # Layer: Layer.TECM4 ratio of ratios: 1.03630204118
0033 # Layer: Layer.TECM5 ratio of ratios: 1.0417988699
0034 # Layer: Layer.TECM6 ratio of ratios: 1.03864754217
0035 # Layer: Layer.TECM7 ratio of ratios: 1.03868976393
0036 # Layer: Layer.TECM8 ratio of ratios: 1.03942709841
0037 # Layer: Layer.TECM9 ratio of ratios: 1.03678940814
0038
0039 byLayer = cms.VPSet(
0040
0041     ################## TIB ##################
0042
0043     cms.PSet(partition = cms.string("TIB_1"),
0044              doScale   = cms.bool(True),
0045              doSmear   = cms.bool(False),
0046              scaleFactor = cms.double(1.02533166915),
0047              smearFactor = cms.double(0.0)
0048              ),
0049     cms.PSet(partition = cms.string("TIB_2"),
0050              doScale   = cms.bool(True),
0051              doSmear   = cms.bool(False),
0052              scaleFactor = cms.double(1.01521093183),
0053              smearFactor = cms.double(0.0)
0054              ),
0055     cms.PSet(partition = cms.string("TIB_3"),
0056              doScale   = cms.bool(True),
0057              doSmear   = cms.bool(False),
0058              scaleFactor = cms.double(1.01552419364),
0059              smearFactor = cms.double(0.0)
0060              ),
0061     cms.PSet(partition = cms.string("TIB_4"),
0062              doScale   = cms.bool(True),
0063              doSmear   = cms.bool(False),
0064              scaleFactor = cms.double(0.95224779507),
0065              smearFactor = cms.double(0.0)
0066              ),
0067
0068     ################## TOB ##################
0069
0070     cms.PSet(partition = cms.string("TOB_1"),
0071              doScale   = cms.bool(True),
0072              doSmear   = cms.bool(False),
0073              scaleFactor = cms.double(1.01219411074),
0074              smearFactor = cms.double(0.0)
0075              ),
0076     cms.PSet(partition = cms.string("TOB_2"),
0077              doScale   = cms.bool(True),
0078              doSmear   = cms.bool(False),
0079              scaleFactor = cms.double(1.00835168635),
0080              smearFactor = cms.double(0.0)
0081              ),
0082     cms.PSet(partition = cms.string("TOB_3"),
0083              doScale   = cms.bool(True),
0084              doSmear   = cms.bool(False),
0085              scaleFactor = cms.double(0.996159099354),
0086              smearFactor = cms.double(0.0)
0087              ),
0088     cms.PSet(partition = cms.string("TOB_4"),
0089              doScale   = cms.bool(True),
0090              doSmear   = cms.bool(False),
0091              scaleFactor = cms.double(0.997676926445),
0092              smearFactor = cms.double(0.0)
0093              ),
0094     cms.PSet(partition = cms.string("TOB_5"),
0095              doScale   = cms.bool(True),
0096              doSmear   = cms.bool(False),
0097              scaleFactor = cms.double(0.993886888572),
0098              smearFactor = cms.double(0.0)
0099              ),
0100     cms.PSet(partition = cms.string("TOB_6"),
0101              doScale   = cms.bool(True),
0102              doSmear   = cms.bool(False),
0103              scaleFactor = cms.double(0.997490411188),
0104              smearFactor = cms.double(0.0)
0105              ),
0106
0107     ################## TID Plus ##################
0108
0109     cms.PSet(partition = cms.string("TIDP_1"),
0110              doScale   = cms.bool(True),
0111              doSmear   = cms.bool(False),
0112              scaleFactor = cms.double(1.0314881072),
0113              smearFactor = cms.double(0.0)
0114              ),
0115     cms.PSet(partition = cms.string("TIDP_2"),
0116              doScale   = cms.bool(True),
0117              doSmear   = cms.bool(False),
0118              scaleFactor = cms.double(1.02853114088),
0119              smearFactor = cms.double(0.0)
0120              ),
0121     cms.PSet(partition = cms.string("TIDP_3"),
0122              doScale   = cms.bool(True),
0123              doSmear   = cms.bool(False),
0124              scaleFactor = cms.double(1.0518768914),
0125              smearFactor = cms.double(0.0)
0126              ),
0127
0128     ################## TID Minus ##################
0129
0130     cms.PSet(partition = cms.string("TIDM_1"),
0131              doScale   = cms.bool(True),
0132              doSmear   = cms.bool(False),
0133              scaleFactor = cms.double(1.03421675878),
0134              smearFactor = cms.double(0.0)
0135              ),
0136     cms.PSet(partition = cms.string("TIDM_2"),
0137              doScale   = cms.bool(True),
0138              doSmear   = cms.bool(False),
0139              scaleFactor = cms.double(1.04546785025),
0140              smearFactor = cms.double(0.0)
0141              ),
0142     cms.PSet(partition = cms.string("TIDM_3"),
0143              doScale   = cms.bool(True),
0144              doSmear   = cms.bool(False),
0145              scaleFactor = cms.double(1.0311586591),
0146              smearFactor = cms.double(0.0)
0147              ),
0148
0149     ################## TEC plus ##################
0150
0151     cms.PSet(partition = cms.string("TECP_1"),
0152              doScale   = cms.bool(True),
0153              doSmear   = cms.bool(False),
0154              scaleFactor = cms.double(1.04989866792),
0155              smearFactor = cms.double(0.0)
0156              ),
0157     cms.PSet(partition = cms.string("TECP_2"),
0158              doScale   = cms.bool(True),
0159              doSmear   = cms.bool(False),
0160              scaleFactor = cms.double(1.03711260343),
0161              smearFactor = cms.double(0.0)
0162              ),
0163     cms.PSet(partition = cms.string("TECP_3"),
0164              doScale   = cms.bool(True),
0165              doSmear   = cms.bool(False),
0166              scaleFactor = cms.double(1.04297992451),
0167              smearFactor = cms.double(0.0)
0168              ),
0169     cms.PSet(partition = cms.string("TECP_4"),
0170              doScale   = cms.bool(True),
0171              doSmear   = cms.bool(False),
0172              scaleFactor = cms.double(1.04669045804),
0173              smearFactor = cms.double(0.0)
0174              ),
0175     cms.PSet(partition = cms.string("TECP_5"),
0176              doScale   = cms.bool(True),
0177              doSmear   = cms.bool(False),
0178              scaleFactor = cms.double(1.03838249025),
0179              smearFactor = cms.double(0.0)
0180              ),
0181     cms.PSet(partition = cms.string("TECP_6"),
0182              doScale   = cms.bool(True),
0183              doSmear   = cms.bool(False),
0184              scaleFactor = cms.double(1.04727471357),
0185              smearFactor = cms.double(0.0)
0186              ),
0187     cms.PSet(partition = cms.string("TECP_7"),
0188              doScale   = cms.bool(True),
0189              doSmear   = cms.bool(False),
0190              scaleFactor = cms.double(1.03632636024),
0191              smearFactor = cms.double(0.0)
0192              ),
0193     cms.PSet(partition = cms.string("TECP_8"),
0194              doScale   = cms.bool(True),
0195              doSmear   = cms.bool(False),
0196              scaleFactor = cms.double(1.04860504406),
0197              smearFactor = cms.double(0.0)
0198              ),
0199     cms.PSet(partition = cms.string("TECP_9"),
0200              doScale   = cms.bool(True),
0201              doSmear   = cms.bool(False),
0202              scaleFactor = cms.double(1.03398568113),
0203              smearFactor = cms.double(0.0)
0204              ),
0205
0206     ################## TEC Minus ##################
0207     cms.PSet(partition = cms.string("TECM_1"),
0208              doScale   = cms.bool(True),
0209              doSmear   = cms.bool(False),
0210              scaleFactor = cms.double(1.04750199121),
0211              smearFactor = cms.double(0.0)
0212              ),
0213     cms.PSet(partition = cms.string("TECM_2"),
0214              doScale   = cms.bool(True),
0215              doSmear   = cms.bool(False),
0216              scaleFactor = cms.double(1.03771633506),
0217              smearFactor = cms.double(0.0)
0218              ),
0219     cms.PSet(partition = cms.string("TECM_3"),
0220              doScale   = cms.bool(True),
0221              doSmear   = cms.bool(False),
0222              scaleFactor = cms.double(1.0409554129),
0223              smearFactor = cms.double(0.0)
0224              ),
0225     cms.PSet(partition = cms.string("TECM_4"),
0226              doScale   = cms.bool(True),
0227              doSmear   = cms.bool(False),
0228              scaleFactor = cms.double(1.03630204118),
0229              smearFactor = cms.double(0.0)
0230              ),
0231     cms.PSet(partition = cms.string("TECM_5"),
0232              doScale   = cms.bool(True),
0233              doSmear   = cms.bool(False),
0234              scaleFactor = cms.double(1.0417988699),
0235              smearFactor = cms.double(0.0)
0236              ),
0237     cms.PSet(partition = cms.string("TECM_6"),
0238              doScale   = cms.bool(True),
0239              doSmear   = cms.bool(False),
0240              scaleFactor = cms.double(1.03864754217),
0241              smearFactor = cms.double(0.0)
0242              ),
0243     cms.PSet(partition = cms.string("TECM_7"),
0244              doScale   = cms.bool(True),
0245              doSmear   = cms.bool(False),
0246              scaleFactor = cms.double(1.0386897639),
0247              smearFactor = cms.double(0.0)
0248              ),
0249     cms.PSet(partition = cms.string("TECM_8"),
0250              doScale   = cms.bool(True),
0251              doSmear   = cms.bool(False),
0252              scaleFactor = cms.double(1.03942709841),
0253              smearFactor = cms.double(0.0)
0254              ),
0255     cms.PSet(partition = cms.string("TECM_9"),
0256              doScale   = cms.bool(True),
0257              doSmear   = cms.bool(False),
0258              scaleFactor = cms.double(1.03678940814),
0259              smearFactor = cms.double(0.0)
0260              )
0261     )