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MiscalibrationSettings_cff.py
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1 import FWCore.ParameterSet.Config as cms
2 import copy
3 
4 # Layer: Layer.TIB1 ratio of ratios: 1.02533166915
5 # Layer: Layer.TIB2 ratio of ratios: 1.01521093183
6 # Layer: Layer.TIB3 ratio of ratios: 1.01552419364
7 # Layer: Layer.TIB4 ratio of ratios: 0.95224779507
8 # Layer: Layer.TOB1 ratio of ratios: 1.01219411074
9 # Layer: Layer.TOB2 ratio of ratios: 1.00835168635
10 # Layer: Layer.TOB3 ratio of ratios: 0.996159099354
11 # Layer: Layer.TOB4 ratio of ratios: 0.997676926445
12 # Layer: Layer.TOB5 ratio of ratios: 0.993886888572
13 # Layer: Layer.TOB6 ratio of ratios: 0.997490411188
14 # Layer: Layer.TIDP1 ratio of ratios: 1.0314881072
15 # Layer: Layer.TIDP2 ratio of ratios: 1.02853114088
16 # Layer: Layer.TIDP3 ratio of ratios: 1.0518768914
17 # Layer: Layer.TIDM1 ratio of ratios: 1.03421675878
18 # Layer: Layer.TIDM2 ratio of ratios: 1.04546785025
19 # Layer: Layer.TIDM3 ratio of ratios: 1.0311586591
20 # Layer: Layer.TECP1 ratio of ratios: 1.04989866792
21 # Layer: Layer.TECP2 ratio of ratios: 1.03711260343
22 # Layer: Layer.TECP3 ratio of ratios: 1.04297992451
23 # Layer: Layer.TECP4 ratio of ratios: 1.04669045804
24 # Layer: Layer.TECP5 ratio of ratios: 1.03838249025
25 # Layer: Layer.TECP6 ratio of ratios: 1.04727471357
26 # Layer: Layer.TECP7 ratio of ratios: 1.03632636024
27 # Layer: Layer.TECP8 ratio of ratios: 1.04860504406
28 # Layer: Layer.TECP9 ratio of ratios: 1.03398568113
29 # Layer: Layer.TECM1 ratio of ratios: 1.04750199121
30 # Layer: Layer.TECM2 ratio of ratios: 1.03771633506
31 # Layer: Layer.TECM3 ratio of ratios: 1.0409554129
32 # Layer: Layer.TECM4 ratio of ratios: 1.03630204118
33 # Layer: Layer.TECM5 ratio of ratios: 1.0417988699
34 # Layer: Layer.TECM6 ratio of ratios: 1.03864754217
35 # Layer: Layer.TECM7 ratio of ratios: 1.03868976393
36 # Layer: Layer.TECM8 ratio of ratios: 1.03942709841
37 # Layer: Layer.TECM9 ratio of ratios: 1.03678940814
38 
39 byLayer = cms.VPSet(
40 
41  ################## TIB ##################
42 
43  cms.PSet(partition = cms.string("TIB_1"),
44  doScale = cms.bool(True),
45  doSmear = cms.bool(False),
46  scaleFactor = cms.double(1.02533166915),
47  smearFactor = cms.double(0.0)
48  ),
49  cms.PSet(partition = cms.string("TIB_2"),
50  doScale = cms.bool(True),
51  doSmear = cms.bool(False),
52  scaleFactor = cms.double(1.01521093183),
53  smearFactor = cms.double(0.0)
54  ),
55  cms.PSet(partition = cms.string("TIB_3"),
56  doScale = cms.bool(True),
57  doSmear = cms.bool(False),
58  scaleFactor = cms.double(1.01552419364),
59  smearFactor = cms.double(0.0)
60  ),
61  cms.PSet(partition = cms.string("TIB_4"),
62  doScale = cms.bool(True),
63  doSmear = cms.bool(False),
64  scaleFactor = cms.double(0.95224779507),
65  smearFactor = cms.double(0.0)
66  ),
67 
68  ################## TOB ##################
69 
70  cms.PSet(partition = cms.string("TOB_1"),
71  doScale = cms.bool(True),
72  doSmear = cms.bool(False),
73  scaleFactor = cms.double(1.01219411074),
74  smearFactor = cms.double(0.0)
75  ),
76  cms.PSet(partition = cms.string("TOB_2"),
77  doScale = cms.bool(True),
78  doSmear = cms.bool(False),
79  scaleFactor = cms.double(1.00835168635),
80  smearFactor = cms.double(0.0)
81  ),
82  cms.PSet(partition = cms.string("TOB_3"),
83  doScale = cms.bool(True),
84  doSmear = cms.bool(False),
85  scaleFactor = cms.double(0.996159099354),
86  smearFactor = cms.double(0.0)
87  ),
88  cms.PSet(partition = cms.string("TOB_4"),
89  doScale = cms.bool(True),
90  doSmear = cms.bool(False),
91  scaleFactor = cms.double(0.997676926445),
92  smearFactor = cms.double(0.0)
93  ),
94  cms.PSet(partition = cms.string("TOB_5"),
95  doScale = cms.bool(True),
96  doSmear = cms.bool(False),
97  scaleFactor = cms.double(0.993886888572),
98  smearFactor = cms.double(0.0)
99  ),
100  cms.PSet(partition = cms.string("TOB_6"),
101  doScale = cms.bool(True),
102  doSmear = cms.bool(False),
103  scaleFactor = cms.double(0.997490411188),
104  smearFactor = cms.double(0.0)
105  ),
106 
107  ################## TID Plus ##################
108 
109  cms.PSet(partition = cms.string("TIDP_1"),
110  doScale = cms.bool(True),
111  doSmear = cms.bool(False),
112  scaleFactor = cms.double(1.0314881072),
113  smearFactor = cms.double(0.0)
114  ),
115  cms.PSet(partition = cms.string("TIDP_2"),
116  doScale = cms.bool(True),
117  doSmear = cms.bool(False),
118  scaleFactor = cms.double(1.02853114088),
119  smearFactor = cms.double(0.0)
120  ),
121  cms.PSet(partition = cms.string("TIDP_3"),
122  doScale = cms.bool(True),
123  doSmear = cms.bool(False),
124  scaleFactor = cms.double(1.0518768914),
125  smearFactor = cms.double(0.0)
126  ),
127 
128  ################## TID Minus ##################
129 
130  cms.PSet(partition = cms.string("TIDM_1"),
131  doScale = cms.bool(True),
132  doSmear = cms.bool(False),
133  scaleFactor = cms.double(1.03421675878),
134  smearFactor = cms.double(0.0)
135  ),
136  cms.PSet(partition = cms.string("TIDM_2"),
137  doScale = cms.bool(True),
138  doSmear = cms.bool(False),
139  scaleFactor = cms.double(1.04546785025),
140  smearFactor = cms.double(0.0)
141  ),
142  cms.PSet(partition = cms.string("TIDM_3"),
143  doScale = cms.bool(True),
144  doSmear = cms.bool(False),
145  scaleFactor = cms.double(1.0311586591),
146  smearFactor = cms.double(0.0)
147  ),
148 
149  ################## TEC plus ##################
150 
151  cms.PSet(partition = cms.string("TECP_1"),
152  doScale = cms.bool(True),
153  doSmear = cms.bool(False),
154  scaleFactor = cms.double(1.04989866792),
155  smearFactor = cms.double(0.0)
156  ),
157  cms.PSet(partition = cms.string("TECP_2"),
158  doScale = cms.bool(True),
159  doSmear = cms.bool(False),
160  scaleFactor = cms.double(1.03711260343),
161  smearFactor = cms.double(0.0)
162  ),
163  cms.PSet(partition = cms.string("TECP_3"),
164  doScale = cms.bool(True),
165  doSmear = cms.bool(False),
166  scaleFactor = cms.double(1.04297992451),
167  smearFactor = cms.double(0.0)
168  ),
169  cms.PSet(partition = cms.string("TECP_4"),
170  doScale = cms.bool(True),
171  doSmear = cms.bool(False),
172  scaleFactor = cms.double(1.04669045804),
173  smearFactor = cms.double(0.0)
174  ),
175  cms.PSet(partition = cms.string("TECP_5"),
176  doScale = cms.bool(True),
177  doSmear = cms.bool(False),
178  scaleFactor = cms.double(1.03838249025),
179  smearFactor = cms.double(0.0)
180  ),
181  cms.PSet(partition = cms.string("TECP_6"),
182  doScale = cms.bool(True),
183  doSmear = cms.bool(False),
184  scaleFactor = cms.double(1.04727471357),
185  smearFactor = cms.double(0.0)
186  ),
187  cms.PSet(partition = cms.string("TECP_7"),
188  doScale = cms.bool(True),
189  doSmear = cms.bool(False),
190  scaleFactor = cms.double(1.03632636024),
191  smearFactor = cms.double(0.0)
192  ),
193  cms.PSet(partition = cms.string("TECP_8"),
194  doScale = cms.bool(True),
195  doSmear = cms.bool(False),
196  scaleFactor = cms.double(1.04860504406),
197  smearFactor = cms.double(0.0)
198  ),
199  cms.PSet(partition = cms.string("TECP_9"),
200  doScale = cms.bool(True),
201  doSmear = cms.bool(False),
202  scaleFactor = cms.double(1.03398568113),
203  smearFactor = cms.double(0.0)
204  ),
205 
206  ################## TEC Minus ##################
207  cms.PSet(partition = cms.string("TECM_1"),
208  doScale = cms.bool(True),
209  doSmear = cms.bool(False),
210  scaleFactor = cms.double(1.04750199121),
211  smearFactor = cms.double(0.0)
212  ),
213  cms.PSet(partition = cms.string("TECM_2"),
214  doScale = cms.bool(True),
215  doSmear = cms.bool(False),
216  scaleFactor = cms.double(1.03771633506),
217  smearFactor = cms.double(0.0)
218  ),
219  cms.PSet(partition = cms.string("TECM_3"),
220  doScale = cms.bool(True),
221  doSmear = cms.bool(False),
222  scaleFactor = cms.double(1.0409554129),
223  smearFactor = cms.double(0.0)
224  ),
225  cms.PSet(partition = cms.string("TECM_4"),
226  doScale = cms.bool(True),
227  doSmear = cms.bool(False),
228  scaleFactor = cms.double(1.03630204118),
229  smearFactor = cms.double(0.0)
230  ),
231  cms.PSet(partition = cms.string("TECM_5"),
232  doScale = cms.bool(True),
233  doSmear = cms.bool(False),
234  scaleFactor = cms.double(1.0417988699),
235  smearFactor = cms.double(0.0)
236  ),
237  cms.PSet(partition = cms.string("TECM_6"),
238  doScale = cms.bool(True),
239  doSmear = cms.bool(False),
240  scaleFactor = cms.double(1.03864754217),
241  smearFactor = cms.double(0.0)
242  ),
243  cms.PSet(partition = cms.string("TECM_7"),
244  doScale = cms.bool(True),
245  doSmear = cms.bool(False),
246  scaleFactor = cms.double(1.0386897639),
247  smearFactor = cms.double(0.0)
248  ),
249  cms.PSet(partition = cms.string("TECM_8"),
250  doScale = cms.bool(True),
251  doSmear = cms.bool(False),
252  scaleFactor = cms.double(1.03942709841),
253  smearFactor = cms.double(0.0)
254  ),
255  cms.PSet(partition = cms.string("TECM_9"),
256  doScale = cms.bool(True),
257  doSmear = cms.bool(False),
258  scaleFactor = cms.double(1.03678940814),
259  smearFactor = cms.double(0.0)
260  )
261  )
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