14 from CaloClusterCorrection.constants
import CALOCORR_CLUSTER
18 CaloSwGap_v4_ele55 = [
20 [ 1.437500, 1.1748, 1.3471, 988.84 ],
21 [ 1.462500, 1.2016, 1.3796, 2888.49 ],
22 [ 1.487500, 1.1609, 1.3653, 3627.43 ],
23 [ 1.512500, 0.8912, 1.6771, 4681.53 ],
24 [ 1.537500, 0.9472, 1.1663, 1723.72 ]
27 CaloSwGap_v4_ele35 = [
29 [ 1.437500, 1.2082, 1.3252, 847.23 ],
30 [ 1.462500, 1.2221, 1.4600, 2645.10 ],
31 [ 1.487500, 1.2682, 1.3119, 2107.51 ],
32 [ 1.512500, 0.9003, 1.5640, 5460.82 ],
33 [ 1.537500, 0.9661, 1.1784, 1528.92 ]
36 CaloSwGap_v4_ele37 = [
38 [ 1.437500, 1.1858, 1.3586, 893.54 ],
39 [ 1.462500, 1.2167, 1.4474, 2136.88 ],
40 [ 1.487500, 1.2049, 1.3005, 2691.53 ],
41 [ 1.512500, 0.9205, 1.5863, 3665.26 ],
42 [ 1.537500, 0.9617, 1.1393, 1577.98 ]
45 CaloSwGap_v4_gam55 = [
47 [ 1.437500, 1.1415, 1.3961, 1399.41 ],
48 [ 1.462500, 1.1873, 1.4093, 1998.63 ],
49 [ 1.487500, 1.1409, 1.4237, 2391.79 ],
50 [ 1.512500, 0.8947, 1.5816, 4199.27 ],
51 [ 1.537500, 0.9560, 1.1320, 968.75 ]
54 CaloSwGap_v4_gam35 = [
56 [ 1.437500, 1.1962, 1.4423, 590.26 ],
57 [ 1.462500, 1.2123, 1.4681, 1707.78 ],
58 [ 1.487500, 1.2245, 1.3677, 1482.52 ],
59 [ 1.512500, 0.9051, 1.5283, 4930.62 ],
60 [ 1.537500, 0.9756, 1.1137, 989.47 ]
63 CaloSwGap_v4_gam37 = [
65 [ 1.437500, 1.1681, 1.3994, 824.20 ],
66 [ 1.462500, 1.2081, 1.4540, 1423.95 ],
67 [ 1.487500, 1.1376, 1.4125, 2683.33 ],
68 [ 1.512500, 0.9383, 1.5156, 1832.49 ],
69 [ 1.537500, 0.9702, 1.0988, 1014.11 ]
78 region = CALOCORR_CLUSTER
83 correction = {
'ele55' : CaloSwGap_v4_ele55,
84 'ele35' : CaloSwGap_v4_ele35,
85 'ele37' : CaloSwGap_v4_ele37,
86 'gam55' : CaloSwGap_v4_gam55,
87 'gam35' : CaloSwGap_v4_gam35,
88 'gam37' : CaloSwGap_v4_gam37,
91 'ele33' : CaloSwGap_v4_ele55,
92 'ele57' : CaloSwGap_v4_ele55,
93 'ele77' : CaloSwGap_v4_ele55,
94 'gam33' : CaloSwGap_v4_gam55,
95 'gam57' : CaloSwGap_v4_gam55,
96 'gam77' : CaloSwGap_v4_gam55,