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  *   Version   4.03/02  10 February 2005   *
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Compiled for linux with thread support.

CINT/ROOT C/C++ Interpreter version 5.15.159, Nov 14 2004
Type ? for help. Commands must be C++ statements.
Enclose multiple statements between { }.

Processing PrintWW_All.C...
***************************  
  Dataset WW_leplep_Cut5
  Total number of Events = 31167
  Total weights of accepted em events 445
  Total weights of accepted ee events 110
  Total weights of accepted mm events 107
  Acceptance em = 0.0142779
  Acceptance ee = 0.00352937
  Acceptance mm = 0.00343312
  CrossSection*Br = 27336
  Nevt em for 10 fb-1  = 3903.01
  Nevt ee for 10 fb-1  = 964.79
  Nevt mm for 10 fb-1  = 938.477
  Nevt total for 10 fb-1  = 5806.28
***************************  
  Dataset WW_taujet_Cut5
  Total number of Events = 48397
  Total weights of accepted em events 59
  Total weights of accepted ee events 26
  Total weights of accepted mm events 11
  Acceptance em = 0.00121908
  Acceptance ee = 0.000537223
  Acceptance mm = 0.000227287
  CrossSection*Br = 13668
  Nevt em for 10 fb-1  = 166.624
  Nevt ee for 10 fb-1  = 73.4277
  Nevt mm for 10 fb-1  = 31.0656
  Nevt total for 10 fb-1  = 271.118
***************************  
  Dataset ZW+_leplep_Cut5
  Total number of Events = 23602
  Total weights of accepted em events 86
  Total weights of accepted ee events 18
  Total weights of accepted mm events 57
  Acceptance em = 0.00364376
  Acceptance ee = 0.000762647
  Acceptance mm = 0.00241505
  CrossSection*Br = 2475.6
  Nevt em for 10 fb-1  = 90.205
  Nevt ee for 10 fb-1  = 18.8801
  Nevt mm for 10 fb-1  = 59.787
  Nevt total for 10 fb-1  = 168.872
***************************  
  Dataset ZW+_taulep_Cut5
  Total number of Events = 12949
  Total weights of accepted em events 16
  Total weights of accepted ee events 12
  Total weights of accepted mm events 11
  Acceptance em = 0.00123562
  Acceptance ee = 0.000926712
  Acceptance mm = 0.000849486
  CrossSection*Br = 1237.8
  Nevt em for 10 fb-1  = 15.2945
  Nevt ee for 10 fb-1  = 11.4709
  Nevt mm for 10 fb-1  = 10.515
  Nevt total for 10 fb-1  = 37.2803
***************************  
  Dataset ZW-_leplep_Cut5
  Total number of Events = 20842
  Total weights of accepted em events 96
  Total weights of accepted ee events 17
  Total weights of accepted mm events 58
  Acceptance em = 0.00460608
  Acceptance ee = 0.000815661
  Acceptance mm = 0.00278284
  CrossSection*Br = 1414.73
  Nevt em for 10 fb-1  = 65.1635
  Nevt ee for 10 fb-1  = 11.5394
  Nevt mm for 10 fb-1  = 39.3696
  Nevt total for 10 fb-1  = 116.072
***************************  
  Dataset ZW-_taulep_Cut5
  Total number of Events = 13374
  Total weights of accepted em events 23
  Total weights of accepted ee events 13
  Total weights of accepted mm events 6
  Acceptance em = 0.00171975
  Acceptance ee = 0.000972035
  Acceptance mm = 0.000448632
  CrossSection*Br = 707.363
  Nevt em for 10 fb-1  = 12.1649
  Nevt ee for 10 fb-1  = 6.87582
  Nevt mm for 10 fb-1  = 3.17345
  Nevt total for 10 fb-1  = 22.2142
***************************  
  Dataset Zbb_Cut5
  Total number of Events = 66745
  Total weights of accepted em events 1
  Total weights of accepted ee events 3
  Total weights of accepted mm events 1
  Acceptance em = 1.49824e-05
  Acceptance ee = 4.49472e-05
  Acceptance mm = 1.49824e-05
  CrossSection*Br = 661.5
  Nevt em for 10 fb-1  = 0.0991085
  Nevt ee for 10 fb-1  = 0.297326
  Nevt mm for 10 fb-1  = 0.0991085
  Nevt total for 10 fb-1  = 0.495543
***************************  
  Dataset ZeeJimmy_Cut5
  Total number of Events = 91815
  Total weights of accepted em events 0
  Total weights of accepted ee events 0
  Total weights of accepted mm events 0
  Acceptance em = 0
  Acceptance ee = 0
  Acceptance mm = 0
  CrossSection*Br = 978318
  Nevt em for 10 fb-1  = 0
  Nevt ee for 10 fb-1  = 0
  Nevt mm for 10 fb-1  = 0
  Nevt total for 10 fb-1  = 0
  One accepted event would be equivalent to = 106.553 events for 10 fb-1 
***************************  
  Dataset ZmumuJimmy_Cut5
  Total number of Events = 95176
  Total weights of accepted em events 0
  Total weights of accepted ee events 0
  Total weights of accepted mm events 7
  Acceptance em = 0
  Acceptance ee = 0
  Acceptance mm = 7.3548e-05
  CrossSection*Br = 768220
  Nevt em for 10 fb-1  = 0
  Nevt ee for 10 fb-1  = 0
  Nevt mm for 10 fb-1  = 565.01
  Nevt total for 10 fb-1  = 565.01
***************************  
  Dataset PythiaZZ_Cut5
  Total number of Events = 46424
  Total weights of accepted em events 166
  Total weights of accepted ee events 25
  Total weights of accepted mm events 284
  Acceptance em = 0.00357574
  Acceptance ee = 0.000538515
  Acceptance mm = 0.00611753
  CrossSection*Br = 60.9792
  Nevt em for 10 fb-1  = 2.18046
  Nevt ee for 10 fb-1  = 0.328382
  Nevt mm for 10 fb-1  = 3.73042
  Nevt total for 10 fb-1  = 6.23926
***************************  
  Dataset T1_Cut5
  Total number of Events = 230337
  Total weights of accepted em events 9.99775
  Total weights of accepted ee events 1.99955
  Total weights of accepted mm events 5.99865
  Acceptance em = 4.34049e-05
  Acceptance ee = 8.68097e-06
  Acceptance mm = 2.60429e-05
  CrossSection*Br = 623000
  Nevt em for 10 fb-1  = 270.412
  Nevt ee for 10 fb-1  = 54.0825
  Nevt mm for 10 fb-1  = 162.247
  Nevt total for 10 fb-1  = 486.742
***************************  
  Dataset WenuJimmy_Cut5
  Total number of Events = 63644
  Total weights of accepted em events 0
  Total weights of accepted ee events 5
  Total weights of accepted mm events 0
  Acceptance em = 0
  Acceptance ee = 7.8562e-05
  Acceptance mm = 0
  CrossSection*Br = 1.28751e+07
  Nevt em for 10 fb-1  = 0
  Nevt ee for 10 fb-1  = 10115
  Nevt mm for 10 fb-1  = 0
  Nevt total for 10 fb-1  = 10115
***************************  
  Dataset WmunuJimmy_Cut5
  Total number of Events = 141145
  Total weights of accepted em events 6
  Total weights of accepted ee events 0
  Total weights of accepted mm events 0
  Acceptance em = 4.25095e-05
  Acceptance ee = 0
  Acceptance mm = 0
  CrossSection*Br = 1.10486e+07
  Nevt em for 10 fb-1  = 4696.71
  Nevt ee for 10 fb-1  = 0
  Nevt mm for 10 fb-1  = 0
  Nevt total for 10 fb-1  = 4696.71
***************************  
  Dataset A1_zee_Cut5
  Total number of Events = 636259
  Total weights of accepted em events 0
  Total weights of accepted ee events 6
  Total weights of accepted mm events 0
  Acceptance em = 0
  Acceptance ee = 9.43012e-06
  Acceptance mm = 0
  CrossSection*Br = 1.6038e+06
  Nevt em for 10 fb-1  = 0
  Nevt ee for 10 fb-1  = 151.24
  Nevt mm for 10 fb-1  = 0
  Nevt total for 10 fb-1  = 151.24
***************************  
  Dataset A3_ztautau_Cut5
  Total number of Events = 426733
  Total weights of accepted em events 0
  Total weights of accepted ee events 0
  Total weights of accepted mm events 1
  Acceptance em = 0
  Acceptance ee = 0
  Acceptance mm = 2.34339e-06
  CrossSection*Br = 1.6038e+06
  Nevt em for 10 fb-1  = 0
  Nevt ee for 10 fb-1  = 0
  Nevt mm for 10 fb-1  = 37.5832
  Nevt total for 10 fb-1  = 37.5832