ATLAS Offline Software
CaloSwEtaoff_v4_1.py
Go to the documentation of this file.
1 # Copyright (C) 2002-2020 CERN for the benefit of the ATLAS collaboration
2 
3 #
4 # File: CaloClusterCorrection/python/CaloSwEtaoff_v4_1.py
5 # Created: Jan 2007, sss
6 # Purpose: Eta offset (s-shape) corrections, v4.1.
7 #
8 # These corrections were derived using 12.0.3 simulation and reconstruction,
9 # for both electrons and photons, 5x5, 3x5, 3x7 clusters.
10 #
11 # The difference from v4 is that this is derived with a different
12 # depth function, which was derived by requiring that the eta position
13 # resolution be optimal, and the use of large-statistics samples
14 # for the 50 and 100 GeV energy points.
15 #
16 # This correction was in CaloClusterCorrection-00-02-74, in 12.X.0.
17 #
18 # See CaloSwEtaoff_v3.h for more details.
19 #
20 
21 from CaloClusterCorrection.constants import \
22  CALOCORR_EMB1, CALOCORR_EMB2, CALOCORR_EME1, CALOCORR_EME2, \
23  EMB1, EME1, EMB2, EME2
24 from AthenaCommon.SystemOfUnits import GeV
25 
26 
29 
30 
31 ele5_layer1_etaoffv4_1_55_b = [
32  [
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34  [ 0, 0, 0, 0, 0, 0 ],
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41  ],
42  [
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112 ]
113 ele5_layer1_etaoffv4_1_55_e = [
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223 ele5_layer1_etaoffv4_1_35_b = [
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305 ele5_layer1_etaoffv4_1_35_e = [
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415 ele5_layer1_etaoffv4_1_37_b = [
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7810 
7813 
7814 
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9755 
9756 
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9760 
9761 gam10_layer1_etaoffv4_1_55_b = [
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10337 gam10_layer2_etaoffv4_1_55_b = [
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10393 gam10_layer2_etaoffv4_1_55_e = [
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10466 ]
10467 gam10_layer2_etaoffv4_1_35_b = [
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10522 ]
10523 gam10_layer2_etaoffv4_1_35_e = [
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10597 gam10_layer2_etaoffv4_1_37_b = [
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10652 ]
10653 gam10_layer2_etaoffv4_1_37_e = [
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10726 ]
10727 
10728 
10729 
10732 
10733 
10734 gam25_layer1_etaoffv4_1_55_b = [
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11569 ]
11570 gam25_layer2_etaoffv4_1_37_b = [
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11625 ]
11626 gam25_layer2_etaoffv4_1_37_e = [
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11699 ]
11700 
11701 
11702 
11705 
11706 
11707 gam50large_layer1_etaoffv4_1_55_b = [
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11788 ]
11789 gam50large_layer1_etaoffv4_1_55_e = [
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11898 ]
11899 gam50large_layer1_etaoffv4_1_35_b = [
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11981 gam50large_layer1_etaoffv4_1_35_e = [
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12090 ]
12091 gam50large_layer1_etaoffv4_1_37_b = [
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12173 gam50large_layer1_etaoffv4_1_37_e = [
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12282 ]
12283 gam50large_layer2_etaoffv4_1_55_b = [
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12339 gam50large_layer2_etaoffv4_1_55_e = [
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12413 gam50large_layer2_etaoffv4_1_35_b = [
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12469 gam50large_layer2_etaoffv4_1_35_e = [
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12543 gam50large_layer2_etaoffv4_1_37_b = [
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12599 gam50large_layer2_etaoffv4_1_37_e = [
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14229 gam100large_layer2_etaoffv4_1_55_b = [
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14285 gam100large_layer2_etaoffv4_1_55_e = [
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14359 gam100large_layer2_etaoffv4_1_35_b = [
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14415 gam100large_layer2_etaoffv4_1_35_e = [
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14489 gam100large_layer2_etaoffv4_1_37_b = [
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14545 gam100large_layer2_etaoffv4_1_37_e = [
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14619 
14620 
14621 
14624 
14625 
14626 gam200_layer1_etaoffv4_1_55_b = [
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14708 gam200_layer1_etaoffv4_1_55_e = [
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14818 gam200_layer1_etaoffv4_1_35_b = [
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14900 gam200_layer1_etaoffv4_1_35_e = [
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16491 gam500_layer2_etaoffv4_1_37_e = [
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16565 
16566 
16567 
16570 
16571 
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16654 gam1000_layer1_etaoffv4_1_55_e = [
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17276  ],
17277 ]
17278 gam1000_layer2_etaoffv4_1_35_b = [
17279  [
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17330  [ 0, 0, 0, 0, 0, 0 ],
17331  [ 0, 0, 0, 0, 0, 0 ],
17332  ],
17333 ]
17334 gam1000_layer2_etaoffv4_1_35_e = [
17335  [
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17406  ],
17407 ]
17408 gam1000_layer2_etaoffv4_1_37_b = [
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17411  [ 0, 0, 0, 16.232598, -9.392595, 6.1898057 ],
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17460  [ 0, 0, 0, 0, 0, 0 ],
17461  [ 0, 0, 0, 0, 0, 0 ],
17462  ],
17463 ]
17464 gam1000_layer2_etaoffv4_1_37_e = [
17465  [
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17509  ],
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17511  [ 0, 0, 0, 0.00012493025, 0.0019213577, 0.0049475173 ],
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17516  [ 0, 0, 0, -1.6051301, 7.4092999, -8.5147414 ],
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17518  ],
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17520  [ 0, 0, 0, 0, 0.0014403936, 0.0072006645 ],
17521  [ 0, 0, 0, 0, -13.089084, 35.036898 ],
17522  [ 0, 0, 0, 0, 6.1196543, -16.35107 ],
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17527  ],
17528  [
17529  [ 0, 0, 30.556079, -129.20615, 77.84366, 135.54702 ],
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17533  [ 0, 0, -0.47992384, 0.7080246, 1.6186601, 2.4706535 ],
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17535  [ 0, 0, 0, 0, 0, 0 ],
17536  ],
17537 ]
17538 
17539 
17540 
17543 
17544 
17545 ele_layer1_etaoffv4_1_55_b = [
17546  ele5_layer1_etaoffv4_1_55_b,
17547  ele10_layer1_etaoffv4_1_55_b,
17548  ele25_layer1_etaoffv4_1_55_b,
17549  ele50large_layer1_etaoffv4_1_55_b,
17550  ele75_layer1_etaoffv4_1_55_b,
17551  ele100large_layer1_etaoffv4_1_55_b,
17552  ele200_layer1_etaoffv4_1_55_b,
17553  ele500_layer1_etaoffv4_1_55_b,
17554  ele1000_layer1_etaoffv4_1_55_b,
17555  ]
17556 
17557 ele_layer1_etaoffv4_1_55_e = [
17558  ele5_layer1_etaoffv4_1_55_e,
17559  ele10_layer1_etaoffv4_1_55_e,
17560  ele25_layer1_etaoffv4_1_55_e,
17561  ele50large_layer1_etaoffv4_1_55_e,
17562  ele75_layer1_etaoffv4_1_55_e,
17563  ele100large_layer1_etaoffv4_1_55_e,
17564  ele200_layer1_etaoffv4_1_55_e,
17565  ele500_layer1_etaoffv4_1_55_e,
17566  ele1000_layer1_etaoffv4_1_55_e,
17567  ]
17568 
17569 
17570 
17571 gam_layer1_etaoffv4_1_55_b = [
17572  gam5_layer1_etaoffv4_1_55_b,
17573  gam10_layer1_etaoffv4_1_55_b,
17574  gam25_layer1_etaoffv4_1_55_b,
17575  gam50large_layer1_etaoffv4_1_55_b,
17576  gam75_layer1_etaoffv4_1_55_b,
17577  gam100large_layer1_etaoffv4_1_55_b,
17578  gam200_layer1_etaoffv4_1_55_b,
17579  gam500_layer1_etaoffv4_1_55_b,
17580  gam1000_layer1_etaoffv4_1_55_b,
17581  ]
17582 
17583 gam_layer1_etaoffv4_1_55_e = [
17584  gam5_layer1_etaoffv4_1_55_e,
17585  gam10_layer1_etaoffv4_1_55_e,
17586  gam25_layer1_etaoffv4_1_55_e,
17587  gam50large_layer1_etaoffv4_1_55_e,
17588  gam75_layer1_etaoffv4_1_55_e,
17589  gam100large_layer1_etaoffv4_1_55_e,
17590  gam200_layer1_etaoffv4_1_55_e,
17591  gam500_layer1_etaoffv4_1_55_e,
17592  gam1000_layer1_etaoffv4_1_55_e,
17593  ]
17594 
17595 
17596 
17597 ele_layer1_etaoffv4_1_35_b = [
17598  ele5_layer1_etaoffv4_1_35_b,
17599  ele10_layer1_etaoffv4_1_35_b,
17600  ele25_layer1_etaoffv4_1_35_b,
17601  ele50large_layer1_etaoffv4_1_35_b,
17602  ele75_layer1_etaoffv4_1_35_b,
17603  ele100large_layer1_etaoffv4_1_35_b,
17604  ele200_layer1_etaoffv4_1_35_b,
17605  ele500_layer1_etaoffv4_1_35_b,
17606  ele1000_layer1_etaoffv4_1_35_b,
17607  ]
17608 
17609 ele_layer1_etaoffv4_1_35_e = [
17610  ele5_layer1_etaoffv4_1_35_e,
17611  ele10_layer1_etaoffv4_1_35_e,
17612  ele25_layer1_etaoffv4_1_35_e,
17613  ele50large_layer1_etaoffv4_1_35_e,
17614  ele75_layer1_etaoffv4_1_35_e,
17615  ele100large_layer1_etaoffv4_1_35_e,
17616  ele200_layer1_etaoffv4_1_35_e,
17617  ele500_layer1_etaoffv4_1_35_e,
17618  ele1000_layer1_etaoffv4_1_35_e,
17619  ]
17620 
17621 
17622 
17623 gam_layer1_etaoffv4_1_35_b = [
17624  gam5_layer1_etaoffv4_1_35_b,
17625  gam10_layer1_etaoffv4_1_35_b,
17626  gam25_layer1_etaoffv4_1_35_b,
17627  gam50large_layer1_etaoffv4_1_35_b,
17628  gam75_layer1_etaoffv4_1_35_b,
17629  gam100large_layer1_etaoffv4_1_35_b,
17630  gam200_layer1_etaoffv4_1_35_b,
17631  gam500_layer1_etaoffv4_1_35_b,
17632  gam1000_layer1_etaoffv4_1_35_b,
17633  ]
17634 
17635 gam_layer1_etaoffv4_1_35_e = [
17636  gam5_layer1_etaoffv4_1_35_e,
17637  gam10_layer1_etaoffv4_1_35_e,
17638  gam25_layer1_etaoffv4_1_35_e,
17639  gam50large_layer1_etaoffv4_1_35_e,
17640  gam75_layer1_etaoffv4_1_35_e,
17641  gam100large_layer1_etaoffv4_1_35_e,
17642  gam200_layer1_etaoffv4_1_35_e,
17643  gam500_layer1_etaoffv4_1_35_e,
17644  gam1000_layer1_etaoffv4_1_35_e,
17645  ]
17646 
17647 
17648 
17649 ele_layer1_etaoffv4_1_37_b = [
17650  ele5_layer1_etaoffv4_1_37_b,
17651  ele10_layer1_etaoffv4_1_37_b,
17652  ele25_layer1_etaoffv4_1_37_b,
17653  ele50large_layer1_etaoffv4_1_37_b,
17654  ele75_layer1_etaoffv4_1_37_b,
17655  ele100large_layer1_etaoffv4_1_37_b,
17656  ele200_layer1_etaoffv4_1_37_b,
17657  ele500_layer1_etaoffv4_1_37_b,
17658  ele1000_layer1_etaoffv4_1_37_b,
17659  ]
17660 
17661 ele_layer1_etaoffv4_1_37_e = [
17662  ele5_layer1_etaoffv4_1_37_e,
17663  ele10_layer1_etaoffv4_1_37_e,
17664  ele25_layer1_etaoffv4_1_37_e,
17665  ele50large_layer1_etaoffv4_1_37_e,
17666  ele75_layer1_etaoffv4_1_37_e,
17667  ele100large_layer1_etaoffv4_1_37_e,
17668  ele200_layer1_etaoffv4_1_37_e,
17669  ele500_layer1_etaoffv4_1_37_e,
17670  ele1000_layer1_etaoffv4_1_37_e,
17671  ]
17672 
17673 
17674 
17675 gam_layer1_etaoffv4_1_37_b = [
17676  gam5_layer1_etaoffv4_1_37_b,
17677  gam10_layer1_etaoffv4_1_37_b,
17678  gam25_layer1_etaoffv4_1_37_b,
17679  gam50large_layer1_etaoffv4_1_37_b,
17680  gam75_layer1_etaoffv4_1_37_b,
17681  gam100large_layer1_etaoffv4_1_37_b,
17682  gam200_layer1_etaoffv4_1_37_b,
17683  gam500_layer1_etaoffv4_1_37_b,
17684  gam1000_layer1_etaoffv4_1_37_b,
17685  ]
17686 
17687 gam_layer1_etaoffv4_1_37_e = [
17688  gam5_layer1_etaoffv4_1_37_e,
17689  gam10_layer1_etaoffv4_1_37_e,
17690  gam25_layer1_etaoffv4_1_37_e,
17691  gam50large_layer1_etaoffv4_1_37_e,
17692  gam75_layer1_etaoffv4_1_37_e,
17693  gam100large_layer1_etaoffv4_1_37_e,
17694  gam200_layer1_etaoffv4_1_37_e,
17695  gam500_layer1_etaoffv4_1_37_e,
17696  gam1000_layer1_etaoffv4_1_37_e,
17697  ]
17698 
17699 
17700 
17701 ele_layer2_etaoffv4_1_55_b = [
17702  ele5_layer2_etaoffv4_1_55_b,
17703  ele10_layer2_etaoffv4_1_55_b,
17704  ele25_layer2_etaoffv4_1_55_b,
17705  ele50large_layer2_etaoffv4_1_55_b,
17706  ele75_layer2_etaoffv4_1_55_b,
17707  ele100large_layer2_etaoffv4_1_55_b,
17708  ele200_layer2_etaoffv4_1_55_b,
17709  ele500_layer2_etaoffv4_1_55_b,
17710  ele1000_layer2_etaoffv4_1_55_b,
17711  ]
17712 
17713 ele_layer2_etaoffv4_1_55_e = [
17714  ele5_layer2_etaoffv4_1_55_e,
17715  ele10_layer2_etaoffv4_1_55_e,
17716  ele25_layer2_etaoffv4_1_55_e,
17717  ele50large_layer2_etaoffv4_1_55_e,
17718  ele75_layer2_etaoffv4_1_55_e,
17719  ele100large_layer2_etaoffv4_1_55_e,
17720  ele200_layer2_etaoffv4_1_55_e,
17721  ele500_layer2_etaoffv4_1_55_e,
17722  ele1000_layer2_etaoffv4_1_55_e,
17723  ]
17724 
17725 
17726 gam_layer2_etaoffv4_1_55_b = [
17727  gam5_layer2_etaoffv4_1_55_b,
17728  gam10_layer2_etaoffv4_1_55_b,
17729  gam25_layer2_etaoffv4_1_55_b,
17730  gam50large_layer2_etaoffv4_1_55_b,
17731  gam75_layer2_etaoffv4_1_55_b,
17732  gam100large_layer2_etaoffv4_1_55_b,
17733  gam200_layer2_etaoffv4_1_55_b,
17734  gam500_layer2_etaoffv4_1_55_b,
17735  gam1000_layer2_etaoffv4_1_55_b,
17736  ]
17737 
17738 gam_layer2_etaoffv4_1_55_e = [
17739  gam5_layer2_etaoffv4_1_55_e,
17740  gam10_layer2_etaoffv4_1_55_e,
17741  gam25_layer2_etaoffv4_1_55_e,
17742  gam50large_layer2_etaoffv4_1_55_e,
17743  gam75_layer2_etaoffv4_1_55_e,
17744  gam100large_layer2_etaoffv4_1_55_e,
17745  gam200_layer2_etaoffv4_1_55_e,
17746  gam500_layer2_etaoffv4_1_55_e,
17747  gam1000_layer2_etaoffv4_1_55_e,
17748  ]
17749 
17750 
17751 ele_layer2_etaoffv4_1_35_b = [
17752  ele5_layer2_etaoffv4_1_35_b,
17753  ele10_layer2_etaoffv4_1_35_b,
17754  ele25_layer2_etaoffv4_1_35_b,
17755  ele50large_layer2_etaoffv4_1_35_b,
17756  ele75_layer2_etaoffv4_1_35_b,
17757  ele100large_layer2_etaoffv4_1_35_b,
17758  ele200_layer2_etaoffv4_1_35_b,
17759  ele500_layer2_etaoffv4_1_35_b,
17760  ele1000_layer2_etaoffv4_1_35_b,
17761  ]
17762 
17763 ele_layer2_etaoffv4_1_35_e = [
17764  ele5_layer2_etaoffv4_1_35_e,
17765  ele10_layer2_etaoffv4_1_35_e,
17766  ele25_layer2_etaoffv4_1_35_e,
17767  ele50large_layer2_etaoffv4_1_35_e,
17768  ele75_layer2_etaoffv4_1_35_e,
17769  ele100large_layer2_etaoffv4_1_35_e,
17770  ele200_layer2_etaoffv4_1_35_e,
17771  ele500_layer2_etaoffv4_1_35_e,
17772  ele1000_layer2_etaoffv4_1_35_e,
17773  ]
17774 
17775 
17776 gam_layer2_etaoffv4_1_35_b = [
17777  gam5_layer2_etaoffv4_1_35_b,
17778  gam10_layer2_etaoffv4_1_35_b,
17779  gam25_layer2_etaoffv4_1_35_b,
17780  gam50large_layer2_etaoffv4_1_35_b,
17781  gam75_layer2_etaoffv4_1_35_b,
17782  gam100large_layer2_etaoffv4_1_35_b,
17783  gam200_layer2_etaoffv4_1_35_b,
17784  gam500_layer2_etaoffv4_1_35_b,
17785  gam1000_layer2_etaoffv4_1_35_b,
17786  ]
17787 
17788 gam_layer2_etaoffv4_1_35_e = [
17789  gam5_layer2_etaoffv4_1_35_e,
17790  gam10_layer2_etaoffv4_1_35_e,
17791  gam25_layer2_etaoffv4_1_35_e,
17792  gam50large_layer2_etaoffv4_1_35_e,
17793  gam75_layer2_etaoffv4_1_35_e,
17794  gam100large_layer2_etaoffv4_1_35_e,
17795  gam200_layer2_etaoffv4_1_35_e,
17796  gam500_layer2_etaoffv4_1_35_e,
17797  gam1000_layer2_etaoffv4_1_35_e,
17798  ]
17799 
17800 
17801 ele_layer2_etaoffv4_1_37_b = [
17802  ele5_layer2_etaoffv4_1_37_b,
17803  ele10_layer2_etaoffv4_1_37_b,
17804  ele25_layer2_etaoffv4_1_37_b,
17805  ele50large_layer2_etaoffv4_1_37_b,
17806  ele75_layer2_etaoffv4_1_37_b,
17807  ele100large_layer2_etaoffv4_1_37_b,
17808  ele200_layer2_etaoffv4_1_37_b,
17809  ele500_layer2_etaoffv4_1_37_b,
17810  ele1000_layer2_etaoffv4_1_37_b,
17811  ]
17812 
17813 ele_layer2_etaoffv4_1_37_e = [
17814  ele5_layer2_etaoffv4_1_37_e,
17815  ele10_layer2_etaoffv4_1_37_e,
17816  ele25_layer2_etaoffv4_1_37_e,
17817  ele50large_layer2_etaoffv4_1_37_e,
17818  ele75_layer2_etaoffv4_1_37_e,
17819  ele100large_layer2_etaoffv4_1_37_e,
17820  ele200_layer2_etaoffv4_1_37_e,
17821  ele500_layer2_etaoffv4_1_37_e,
17822  ele1000_layer2_etaoffv4_1_37_e,
17823  ]
17824 
17825 
17826 gam_layer2_etaoffv4_1_37_b = [
17827  gam5_layer2_etaoffv4_1_37_b,
17828  gam10_layer2_etaoffv4_1_37_b,
17829  gam25_layer2_etaoffv4_1_37_b,
17830  gam50large_layer2_etaoffv4_1_37_b,
17831  gam75_layer2_etaoffv4_1_37_b,
17832  gam100large_layer2_etaoffv4_1_37_b,
17833  gam200_layer2_etaoffv4_1_37_b,
17834  gam500_layer2_etaoffv4_1_37_b,
17835  gam1000_layer2_etaoffv4_1_37_b,
17836  ]
17837 
17838 gam_layer2_etaoffv4_1_37_e = [
17839  gam5_layer2_etaoffv4_1_37_e,
17840  gam10_layer2_etaoffv4_1_37_e,
17841  gam25_layer2_etaoffv4_1_37_e,
17842  gam50large_layer2_etaoffv4_1_37_e,
17843  gam75_layer2_etaoffv4_1_37_e,
17844  gam100large_layer2_etaoffv4_1_37_e,
17845  gam200_layer2_etaoffv4_1_37_e,
17846  gam500_layer2_etaoffv4_1_37_e,
17847  gam1000_layer2_etaoffv4_1_37_e,
17848  ]
17849 
17850 
17851 
17854 
17855 layer1_etaoffv4_1_regions_b = [
17856  [ 0.0, 0.00625, 5, 0.003125, 0 ],
17857  [ 0.00625, 0.4, 11, 0.003125, 0 ],
17858  [ 0.4, 0.79375, 11, 0.003125, 0 ],
17859  [ 0.79365, 0.8, 3, 0.003125, 0 ],
17860  [ 0.8, 1.39375, 11, 0.003125, 0 ],
17861  [ 1.39375, 1.3955, 3, 0.003125, 0 ],
17862  [ 1.3955, 1.4, 0, 0.025, 0 ],
17863  [ 1.4, 1.45, 0, 0.025, 0 ],
17864 ]
17865 layer1_etaoffv4_1_regions_e = [
17866  [ 1.425, 1.454, 3, 0.025, 0 ],
17867  [ 1.454, 1.475, 0, 0.025, 0 ],
17868  [ 1.475, 1.5, 3, 0.025, 0 ],
17869  [ 1.5, 1.503125, 0, 0.003125, 0 ],
17870  [ 1.503125, 1.8, 0, 0.003125, 0 ],
17871  [ 1.8, 2.0, 0, 0.00416666666667, 0 ],
17872  [ 2.0, 2.29375, 0, 0.00625, 0 ],
17873  [ 2.29375, 2.30625, 3, 0.00625, 0 ],
17874  [ 2.30625, 2.39375, 0, 0.00625, 0 ],
17875  [ 2.39375, 2.4, 0, 0.00625, 0 ],
17876  [ 2.4, 2.475, 10, 0.025, 0 ],
17877  [ 2.475, 2.5, 0, 0.025, 0 ],
17878 ]
17879 
17880 layer2_etaoffv4_1_regions_b = [
17881  [ 0.0, 0.4, 10, 0.025, 0 ],
17882  [ 0.4, 0.775, 10, 0.025, 0 ],
17883  [ 0.775, 0.825, 10, 0.025, 0 ],
17884  [ 0.825, 1.35, 10, 0.025, 0 ],
17885  [ 1.35, 1.4, 3, 0.025, 0 ],
17886  [ 1.4, 1.437, 3, 0.075, -0.025 ],
17887 ]
17888 layer2_etaoffv4_1_regions_e = [
17889  [ 1.4, 1.45, 5, 0.025, 0 ],
17890  [ 1.45, 1.5, 3, 0.025, 0 ],
17891  [ 1.5, 1.525, 3, 0.025, 0 ],
17892  [ 1.525, 1.9, 10, 0.025, 0 ],
17893  [ 1.9, 2.3, 10, 0.025, 0 ],
17894  [ 2.3, 2.45, 10, 0.025, 0 ],
17895  [ 2.45, 2.475, 3, 0.025, 0 ],
17896  [ 2.475, 2.5, 0, 0.025, 0 ],
17897 ]
17898 
17899 
17900 ele_etaoffv4_1_energies = [
17901  5*GeV, 10*GeV, 25*GeV, 50*GeV, 75*GeV, 100*GeV, 200*GeV, 500*GeV, 1000*GeV
17902  ]
17903 gam_etaoffv4_1_energies = [
17904  5*GeV, 10*GeV, 25*GeV, 50*GeV, 75*GeV, 100*GeV, 200*GeV, 500*GeV, 1000*GeV
17905  ]
17906 etaoffv4_1_energies = {'ele55' : ele_etaoffv4_1_energies,
17907  'ele35' : ele_etaoffv4_1_energies,
17908  'ele37' : ele_etaoffv4_1_energies,
17909  'gam55' : gam_etaoffv4_1_energies,
17910  'gam35' : gam_etaoffv4_1_energies,
17911  'gam37' : gam_etaoffv4_1_energies}
17912 
17913 
17914 
17915 class CaloSwEtaoff_v4_1_b1_parms:
17916  region = CALOCORR_EMB1
17917  regions = layer1_etaoffv4_1_regions_b
17918  energy_degree = 3
17919  forms = [[]]
17920 
17921  correction = {'ele55' : ele_layer1_etaoffv4_1_55_b,
17922  'ele35' : ele_layer1_etaoffv4_1_35_b,
17923  'ele37' : ele_layer1_etaoffv4_1_37_b,
17924  'gam55' : gam_layer1_etaoffv4_1_55_b,
17925  'gam35' : gam_layer1_etaoffv4_1_35_b,
17926  'gam37' : gam_layer1_etaoffv4_1_37_b,
17927 
17928  # Use 5x5 for other cluster sizes.
17929  'ele33' : ele_layer1_etaoffv4_1_55_b,
17930  'ele57' : ele_layer1_etaoffv4_1_55_b,
17931  'ele77' : ele_layer1_etaoffv4_1_55_b,
17932  'gam33' : gam_layer1_etaoffv4_1_55_b,
17933  'gam57' : gam_layer1_etaoffv4_1_55_b,
17934  'gam77' : gam_layer1_etaoffv4_1_55_b,
17935  }
17936 
17937  energies = etaoffv4_1_energies
17938 
17939 
17940 class CaloSwEtaoff_v4_1_b2_parms:
17941  region = CALOCORR_EMB2
17942  regions = layer2_etaoffv4_1_regions_b
17943  energy_degree = 3
17944  forms = [[]]
17945 
17946  correction = {'ele55' : ele_layer2_etaoffv4_1_55_b,
17947  'ele35' : ele_layer2_etaoffv4_1_35_b,
17948  'ele37' : ele_layer2_etaoffv4_1_37_b,
17949  'gam55' : gam_layer2_etaoffv4_1_55_b,
17950  'gam35' : gam_layer2_etaoffv4_1_35_b,
17951  'gam37' : gam_layer2_etaoffv4_1_37_b,
17952 
17953  # Use 5x5 for other cluster sizes.
17954  'ele33' : ele_layer2_etaoffv4_1_55_b,
17955  'ele57' : ele_layer2_etaoffv4_1_55_b,
17956  'ele77' : ele_layer2_etaoffv4_1_55_b,
17957  'gam33' : gam_layer2_etaoffv4_1_55_b,
17958  'gam57' : gam_layer2_etaoffv4_1_55_b,
17959  'gam77' : gam_layer2_etaoffv4_1_55_b,
17960  }
17961 
17962  energies = etaoffv4_1_energies
17963 
17964 
17965 class CaloSwEtaoff_v4_1_e1_parms:
17966  region = CALOCORR_EME1
17967  regions = layer1_etaoffv4_1_regions_e
17968  energy_degree = 3
17969  forms = [[]]
17970 
17971  correction = {'ele55' : ele_layer1_etaoffv4_1_55_e,
17972  'ele35' : ele_layer1_etaoffv4_1_35_e,
17973  'ele37' : ele_layer1_etaoffv4_1_37_e,
17974  'gam55' : gam_layer1_etaoffv4_1_55_e,
17975  'gam35' : gam_layer1_etaoffv4_1_35_e,
17976  'gam37' : gam_layer1_etaoffv4_1_37_e,
17977 
17978  # Use 5x5 for other cluster sizes.
17979  'ele33' : ele_layer1_etaoffv4_1_55_e,
17980  'ele57' : ele_layer1_etaoffv4_1_55_e,
17981  'ele77' : ele_layer1_etaoffv4_1_55_e,
17982  'gam33' : gam_layer1_etaoffv4_1_55_e,
17983  'gam57' : gam_layer1_etaoffv4_1_55_e,
17984  'gam77' : gam_layer1_etaoffv4_1_55_e,
17985  }
17986 
17987  energies = etaoffv4_1_energies
17988 
17989 
17990 class CaloSwEtaoff_v4_1_e2_parms:
17991  region = CALOCORR_EME2
17992  regions = layer2_etaoffv4_1_regions_e
17993  energy_degree = 3
17994  forms = [[]]
17995 
17996  correction = {'ele55' : ele_layer2_etaoffv4_1_55_e,
17997  'ele35' : ele_layer2_etaoffv4_1_35_e,
17998  'ele37' : ele_layer2_etaoffv4_1_37_e,
17999  'gam55' : gam_layer2_etaoffv4_1_55_e,
18000  'gam35' : gam_layer2_etaoffv4_1_35_e,
18001  'gam37' : gam_layer2_etaoffv4_1_37_e,
18002 
18003  # Use 5x5 for other cluster sizes.
18004  'ele33' : ele_layer2_etaoffv4_1_55_e,
18005  'ele57' : ele_layer2_etaoffv4_1_55_e,
18006  'ele77' : ele_layer2_etaoffv4_1_55_e,
18007  'gam33' : gam_layer2_etaoffv4_1_55_e,
18008  'gam57' : gam_layer2_etaoffv4_1_55_e,
18009  'gam77' : gam_layer2_etaoffv4_1_55_e,
18010  }
18011 
18012  energies = etaoffv4_1_energies
18013 
18014 
18015 
18016 
18017 CaloSwEtaoff_v4_1_parms = { EMB1 : CaloSwEtaoff_v4_1_b1_parms,
18018  EMB2 : CaloSwEtaoff_v4_1_b2_parms,
18019  EME1 : CaloSwEtaoff_v4_1_e1_parms,
18020  EME2 : CaloSwEtaoff_v4_1_e2_parms,
18021  }
18022 
18023 
18024 
18025 #
18026 # Notes on the derivation of the above tables.
18027 # The following are the descriptions of the fits used.
18028 # The D constructor has the signature:
18029 #
18030 # def __init__ (self, sampling, cellsize, lo, hi, degree, form,
18031 # ysize = 0.001, prange = (None, None),
18032 # psize = None, cond = None,
18033 # outlier_sigma = 5,
18034 # phase = 0,
18035 # initvals = [],
18036 # cmds = [],
18037 # minevents = MINEVENTS_DEFAULT,
18038 # fitter_type = 1,
18039 # ignorepars = []):
18040 #
18041 #
18042 # layer1_regions_v41 = [
18043 # D(EMB1, 0.025/8, 0.0, 0.00625, 3, 5, 0.004), # 0
18044 # D(EMB1, 0.025/8, 0.00625, 0.4, 1, 11, # 1
18045 # prange=(0.1, 0.15), psize=0.0001,
18046 # ignorepars = {'ele5' : [(5,0),(6,0),(7,0)],
18047 # 'gam5' : [(5,0),(6,0),(7,0)]}),
18048 # D(EMB1, 0.025/8, 0.4, 0.79375, {'ele1000':1, # 2
18049 # 'gam1000-35':1,
18050 # 'gam1000-37':1,
18051 # 'gam5' : 3,
18052 # None: 2},
18053 # 11, prange=(0.6, 0.65), psize=0.0001,
18054 # minevents = {'ele5' : 1e9},
18055 # ignorepars = {'gam5' : [(5,0),(6,0),(7,0)],
18056 # 'ele10' : [(5,0),(6,0),(7,0)]}),
18057 # D(EMB1, 0.025/8, 0.79365, 0.8, {'gam25-37' : 2, # 3
18058 # None : 1}, 3),
18059 # D(EMB1, 0.025/8, 0.8, 1.39375, 2, 11, # 4
18060 # prange=(1.0, 1.05), psize=0.0001,
18061 # minevents = {'gam5' : 1e9}),
18062 # D(EMB1, 0.025/8, 1.39375, 1.3955, 0, 3, 0.002, psize=0.0005), # 5
18063 # D(EMB1, 0.025, 1.3955, 1.4, 3, 0, 0.01), # 6
18064 # D(EMB1, 0.025, 1.4, 1.45, {'gam1000-35' : 4, # 7
18065 # None: 3}, 0, 0.01),
18066 # D(EME1, 0.025, 1.425, 1.454, {'ele25-55' : 0, # 8
18067 # 'gam25-35' : 0,
18068 # 'ele75' : 0,
18069 # 'gam75-55' : 0,
18070 # 'gam1000-35' : 2,
18071 # 'gam1000-37' : 2,
18072 # 'ele1000-35' : 2,
18073 # 'ele1000-37' : 2,
18074 # None : 1},
18075 # 3, 0.015),
18076 # D(EME1, 0.025, 1.454, 1.475, {'ele25' : 0, # 9
18077 # 'gam25' : 0,
18078 # 'ele50' : 0,
18079 # 'gam50' : 0,
18080 # 'ele75' : 0,
18081 # 'gam75' : 0,
18082 # None : 1}, 0, 0.01),
18083 # D(EME1, 0.025, 1.475, 1.5, {'ele25': 0, #10
18084 # None : 1}, 3, 0.01),
18085 # D(EME1, 0.025/8, 1.5, 1.503125,0, 0, 0.005), #11
18086 # D(EME1, 0.025/8, 1.503125, 1.8, {'ele10' : 0, #12
18087 # 'gam10' : 0,
18088 # 'gam25' : 2,
18089 # None:3}, 0, prange=(1.6, 1.65)),
18090 # D(EME1, 0.025/6, 1.8, 2.0, 1, 0, prange=(1.85, 1.9), #13
18091 # minevents = {'gam10' : 1e9}),
18092 # D(EME1, 0.025/4, 2.0, 2.29375, 3, 0, prange=(2.1, 2.15)), #14
18093 # D(EME1, 0.025/4, 2.29375, 2.30625, {'gam1000-37' : 2, #15
18094 # 'gam200' : 0,
18095 # 'gam500-37' : 0,
18096 # 'ele25' : 0,
18097 # None: 1}, 3, 0.003),
18098 # D(EME1, 0.025/4, 2.30625, 2.39375, {'ele25' : 0, #16
18099 # None : 1}, 0),
18100 # D(EME1, 0.025/4, 2.39375, 2.4, {'ele200' : 0, #17
18101 # 'gam200' : 0,
18102 # 'ele75' : 0,
18103 # 'gam75' : 0,
18104 # 'ele50' : 0,
18105 # 'gam50' : 0,
18106 # 'gam100' : 0,
18107 # None: 1},
18108 # 0, 0.004),
18109 # D(EME1, 0.025, 2.4, 2.475, {'gam100' : 0, #18
18110 # 'ele200' : 1,
18111 # 'gam200' : 1,
18112 # 'gam1000' : 1,
18113 # None:2},
18114 # 10, 0.008,
18115 # ignorepars={'gam500' : [(4,0),(5,0),(6,0)]}),
18116 # D(EME1, 0.025, 2.475, 2.5, {'gam50-37':2, #19
18117 # 'gam100large': 0,
18118 # 'ele50' : 2,
18119 # 'ele75-55' : 2,
18120 # 'ele200' : 0,
18121 # 'gam500' : 0,
18122 # 'gam1000' : 0,
18123 # None:1},
18124 # 0, 0.008, outlier_sigma=3),
18125 # ]
18126 
18127 
18128 # layer2_regions_v41 = [
18129 # D(EMB2, 0.025, 0.0, 0.4, {'gam75-55' : 3, # 0
18130 # 'ele100' : 3,
18131 # None : 2},
18132 # 10, psize=0.0003,
18133 # fitter_type = {'gam75-55' : 2,
18134 # 'ele100' : 2},
18135 # ignorepars={'ele5' : [(4,0),(5,0),(6,0)],
18136 # 'gam5' : [(4,0),(5,0),(6,0)]}),
18137 # D(EMB2, 0.025, 0.4, 0.775, {'ele50' : 1, # 1
18138 # 'ele100large-35' : 0,
18139 # 'ele500' : 1,
18140 # None:2}, 10, psize=0.0003,
18141 # minevents={'ele5' : 1e9},
18142 # ignorepars={'gam5' : [(4,0),(5,0),(6,0)]}),
18143 # D(EMB2, 0.025, 0.775, 0.825, {'ele10': 0, # 2
18144 # None: 1}, 10, 0.005, psize=0.001,
18145 # ignorepars={'gam5' : [(4,0),(5,0),(6,0)],
18146 # 'gam10' : [(4,0),(5,0),(6,0)],
18147 # 'ele10' : [(4,0),(5,0),(6,0)],
18148 # 'ele25' : [(4,0),(5,0),(6,0)]}),
18149 # D(EMB2, 0.025, 0.825, 1.35, {'ele200' : 1, # 3
18150 # 'gam1000' : 1,
18151 # 'ele50-37' : 3,
18152 # None:2}, 10, 0.002, psize=0.0003,
18153 # ignorepars={'ele10' : [(4,0),(5,0),(6,0)]},
18154 # fitter_type = {'ele50-37' : 2},
18155 # minevents={'gam5' : 1e9}),
18156 # D(EMB2, 0.025, 1.35, 1.4, {'ele25-55' : 2, # 4
18157 # 'ele25-35' : 2,
18158 # 'ele25-37' : 4,
18159 # 'ele1000' : 4,
18160 # 'ele50large-55' : 1,
18161 # 'gam50large-35' : 4,
18162 # 'gam10' : 2,
18163 # 'gam100' : 2,
18164 # 'ele100' : 2,
18165 # 'ele75' : 2,
18166 # None: 3}, 3, 0.005, psize=0.0004),
18167 # D(EMB2, 0.075, 1.4, 1.437, {'ele10' : 1, # 5
18168 # 'gam10' : 2,
18169 # 'ele25' : 2,
18170 # 'gam25' : 2,
18171 # 'ele50' : 2,
18172 # 'gam50' : 2,
18173 # 'ele50large' : 2,
18174 # 'gam50large-55' : 1,
18175 # 'gam50large-35' : 2,
18176 # 'gam50large-37' : 2,
18177 # 'ele75-35' : 2,
18178 # 'ele75-37' : 2,
18179 # 'ele75-55' : 1,
18180 # 'gam75' : 1,
18181 # 'ele100' : 2,
18182 # 'gam100' : 1,
18183 # 'ele100large' : 2,
18184 # 'gam100large' : 1,
18185 # 'ele200' : 2,
18186 # 'gam200' : 1,
18187 # 'ele500' : 1,
18188 # 'gam500' : 1,
18189 # 'ele1000' : 2,
18190 # 'gam1000' : 1,
18191 # None: 1},
18192 # 3, 0.008, psize=0.005, phase=-0.025),
18193 # D(EME2, 0.025, 1.4, 1.45, {'ele500':5, # 6
18194 # 'gam500':5,
18195 # 'ele1000':5,
18196 # 'gam1000':5,
18197 # None:3},
18198 # 5, 0.02, psize=0.02, outlier_sigma=2),
18199 # D(EME2, 0.025, 1.45, 1.5, {'ele25':1, # 7
18200 # 'gam50large' : 4,
18201 # 'gam75' : 2,
18202 # 'ele100large' : 4,
18203 # 'gam100' : 2,
18204 # 'ele200' : 2,
18205 # 'gam200' : 2,
18206 # 'ele1000': 4,
18207 # 'gam1000': 4,
18208 # None: 3},
18209 # 3, 0.01, psize=0.005),
18210 # D(EME2, 0.025, 1.5, 1.525, {'gam50large' : 2, # 8
18211 # None : 1},
18212 # 3, 0.005, psize=0.003),
18213 # D(EME2, 0.025, 1.525, 1.9, {'gam10' : 0, # 9
18214 # None: 2}, 10, 0.005, psize=0.001,
18215 # minevents = {'ele10' : 1e9}),
18216 # D(EME2, 0.025, 1.9, 2.3, {'ele100':1, #10
18217 # None:2}, 10, psize=0.0003),
18218 # D(EME2, 0.025, 2.3, 2.45, 2, 10, psize=0.0003, #11
18219 # ignorepars = {'ele25' : [(4,0),(5,0),(6,0)],
18220 # 'ele50' : [(4,0),(5,0),(6,0)]}),
18221 # D(EME2, 0.025, 2.45, 2.475, {'ele25': 0, #12
18222 # 'gam25': 0,
18223 # None:1}, 3, 0.005, psize=0.001,
18224 # outlier_sigma = {'ele25': 2,
18225 # 'gam25': 2,
18226 # 'ele50': 3,
18227 # 'gam50': 3,
18228 # 'ele75': 3,
18229 # 'gam75': 3,
18230 # None: 5}),
18231 # D(EME2, 0.025, 2.475,2.5, {'ele25-37' : 1, #13
18232 # 'ele25-35' : 2,
18233 # 'gam25' : 1,
18234 # 'gam50large' : 1,
18235 # 'ele100-37' : 2,
18236 # None : 3}, 0, 0.005,
18237 # outlier_sigma = 3,
18238 # ignorepars=[(2,0)]),
18239 # ]
CaloSwEtaoff_v4_1.CaloSwEtaoff_v4_1_b2_parms
Definition: CaloSwEtaoff_v4_1.py:17940
SystemOfUnits
CaloSwEtaoff_v4_1.CaloSwEtaoff_v4_1_e2_parms
Definition: CaloSwEtaoff_v4_1.py:17990
CaloSwEtaoff_v4_1.CaloSwEtaoff_v4_1_b1_parms
Definition: CaloSwEtaoff_v4_1.py:17915
CaloSwEtaoff_v4_1.CaloSwEtaoff_v4_1_e1_parms
Definition: CaloSwEtaoff_v4_1.py:17965
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