16from CaloClusterCorrection.constants
import CALOCORR_COMBINED2
21etamod_ele_sample_energies = [10*GeV, 25*GeV, 50*GeV, 75*GeV,
22 100*GeV, 200*GeV, 500*GeV, 1000*GeV]
23etamod_gam_sample_energies = [5*GeV, 10*GeV, 25*GeV, 50*GeV, 75*GeV,
24 100*GeV, 200*GeV, 500*GeV, 1000*GeV]
27etamod_v4_ele5_55 = [0.983806, 3.750856, -154.635676]
28etamod_v4_ele5_35 = [0.999497, 0.188522, -8.791095]
29etamod_v4_ele5_37 = [1.001259, -0.474412, 9.681194]
30etamod_v4_ele10_55 = [0.993712, 1.209621, -49.526417]
31etamod_v4_ele10_35 = [0.991334, 1.695083, -60.905850]
32etamod_v4_ele10_37 = [0.989896, 2.063848, -73.906376]
33etamod_v4_ele25_55 = [0.995942, 0.555437, -15.500041]
34etamod_v4_ele25_35 = [0.992321, 1.538730, -52.050354]
35etamod_v4_ele25_37 = [0.994053, 1.392923, -54.094068]
36etamod_v4_ele50_55 = [0.996982, 0.528204, -17.990771]
37etamod_v4_ele50_35 = [0.993117, 1.512039, -56.901355]
38etamod_v4_ele50_37 = [0.993183, 1.473668, -54.724100]
39etamod_v4_ele75_55 = [0.997754, 0.377698, -16.414560]
40etamod_v4_ele75_35 = [0.993308, 1.318025, -46.984286]
41etamod_v4_ele75_37 = [0.992406, 1.573704, -57.762698]
42etamod_v4_ele100_55 = [0.998076, 0.308318, -9.139902]
43etamod_v4_ele100_35 = [0.992809, 1.425346, -51.864830]
44etamod_v4_ele100_37 = [0.992503, 1.586192, -58.698449]
45etamod_v4_ele200_55 = [0.997283, 0.478227, -16.154217]
46etamod_v4_ele200_35 = [0.993058, 1.496153, -56.248150]
47etamod_v4_ele200_37 = [0.992762, 1.558639, -58.741619]
48etamod_v4_ele500_55 = [0.997707, 0.421512, -14.367443]
49etamod_v4_ele500_35 = [0.992741, 1.499762, -55.405371]
50etamod_v4_ele500_37 = [0.992597, 1.570775, -58.663627]
51etamod_v4_ele1000_55 = [0.997539, 0.412089, -12.911872]
52etamod_v4_ele1000_35 = [0.992670, 1.557133, -57.989423]
53etamod_v4_ele1000_37 = [0.992992, 1.484024, -55.313061]
55etamod_v4_gam5_55 = [0.990666, 1.975982, -93.145708]
56etamod_v4_gam5_35 = [0.979576, 3.897743, -146.429330]
57etamod_v4_gam5_37 = [0.990993, 1.612493, -68.488132]
58etamod_v4_gam10_55 = [0.990695, 1.738726, -61.737552]
59etamod_v4_gam10_35 = [0.997539, 1.247956, -56.066169]
60etamod_v4_gam10_37 = [0.991926, 2.244305, -91.768508]
61etamod_v4_gam25_55 = [0.996626, 0.767360, -29.799398]
62etamod_v4_gam25_35 = [0.989307, 2.261203, -85.400993]
63etamod_v4_gam25_37 = [0.993203, 1.603192, -64.949502]
64etamod_v4_gam50_55 = [0.997944, 0.265441, -5.366243]
65etamod_v4_gam50_35 = [0.991916, 1.677999, -60.542668]
66etamod_v4_gam50_37 = [0.991638, 1.689945, -61.928597]
67etamod_v4_gam75_55 = [0.997735, 0.386117, -13.184488]
68etamod_v4_gam75_35 = [0.992081, 1.694850, -63.205380]
69etamod_v4_gam75_37 = [0.992619, 1.604587, -60.797382]
70etamod_v4_gam100_55 = [0.996571, 0.666099, -24.579692]
71etamod_v4_gam100_35 = [0.991244, 1.791867, -67.731569]
72etamod_v4_gam100_37 = [0.991843, 1.740992, -64.891654]
73etamod_v4_gam200_55 = [0.996892, 0.582237, -19.943738]
74etamod_v4_gam200_55 = [0.996909, 0.573404, -19.243274]
75etamod_v4_gam200_35 = [0.992165, 1.597763, -58.265427]
76etamod_v4_gam200_37 = [0.992049, 1.642700, -60.023122]
77etamod_v4_gam500_55 = [0.997435, 0.456722, -15.115561]
78etamod_v4_gam500_35 = [0.992351, 1.594982, -58.915334]
79etamod_v4_gam500_37 = [0.992352, 1.592001, -59.154386]
80etamod_v4_gam1000_55 = [0.997663, 0.399569, -12.693380]
81etamod_v4_gam1000_35 = [0.993040, 1.504923, -56.415771]
82etamod_v4_gam1000_37 = [0.993451, 1.568644, -58.555394]
85etamod_v4_ele55_correction = [
98etamod_v4_ele35_correction = [
107 etamod_v4_ele1000_35,
111etamod_v4_ele37_correction = [
120 etamod_v4_ele1000_37,
124etamod_v4_gam55_correction = [
133 etamod_v4_gam1000_55,
137etamod_v4_gam35_correction = [
146 etamod_v4_gam1000_35,
150etamod_v4_gam37_correction = [
159 etamod_v4_gam1000_37,
164 region = CALOCORR_COMBINED2
166 rfac = [ [0, 1], [3, 1] ]
169 energies = {
'ele55' : etamod_ele_sample_energies,
170 'ele35' : etamod_ele_sample_energies,
171 'ele37' : etamod_ele_sample_energies,
172 'gam55' : etamod_gam_sample_energies,
173 'gam35' : etamod_gam_sample_energies,
174 'gam37' : etamod_gam_sample_energies,
177 correction = {
'ele55' : etamod_v4_ele55_correction,
178 'ele35' : etamod_v4_ele35_correction,
179 'ele37' : etamod_v4_ele37_correction,
180 'gam55' : etamod_v4_gam55_correction,
181 'gam35' : etamod_v4_gam35_correction,
182 'gam37' : etamod_v4_gam37_correction,
188 scale = pars[0] + pars[1]*cellwidth/2 + pars[2]*cellwidth**2/3
189 pars[0] = pars[0] /scale
190 pars[1] = pars[1] /scale
191 pars[2] = pars[2] /scale
194 for v
in corr.values():
198_etamod_rescale_all (CaloSwEtamod_v4_parms.correction)
_etamod_rescale(pars, cellwidth=0.025)
_etamod_rescale_all(corr)