#GEN -*-*-*-*-*-*-*-*-*-*-*- general info -*-*-*-*-*-*-*-*-*-*-*- Method : TMlpANN Creator: cafuser3 Date : Thu Feb 1 03:59:07 2007 Host : Linux patlx3.fnal.gov 2.4.21-37.ELsmp #1 SMP Wed Sep 28 12:13:44 CDT 2005 i686 i686 i386 GNU/Linux Dir : /fbsng/condor_local/execute/dir_17323/work/macros3 Training events: 25538 #OPT -*-*-*-*-*-*-*-*-*-*-*-*- options -*-*-*-*-*-*-*-*-*-*-*-*- # Set by User: V: False [verbose flag] NCycles: 200 [Number of training cycles] HiddenLayers: "N+1,N" [Specification of the hidden layers] # Default: D: False [use-decorrelated-variables flag (for backward compatibility, please switch to Preprocess)] Preprocess: "None" [Variable Decorrelation Method] PreprocessType: "Signal" [Use signal or background for Preprocess] H: False [help flag] ## #VAR -*-*-*-*-*-*-*-*-*-*-*-* variables *-*-*-*-*-*-*-*-*-*-*-*- NVar 12 LepAEn LepAEn 'F' [20.211,407.751] LepBEn LepBEn 'F' [10.0156,308.769] dilmass dilmass 'F' [16.0022,622.364] metmag metmag 'F' [0.0976886,249.36] addEt addEt 'F' [37.5851,722.412] dPhiMetLJ dPhiMetLJ 'F' [1.56899e-05,3.13721] ntightjets ntightjets 'F' [0,4] jet1_Et jet1_Et 'F' [0,83.6278] jet2_Et jet2_Et 'F' [0,38.4613] dildphi dildphi 'F' [0.000692572,3.14152] lepR lepR 'F' [0.403804,3.57078] metsig metsig 'F' [0.0096434,13.8328] #WGT -*-*-*-*-*-*-*-*-*-*-*-*- weights -*-*-*-*-*-*-*-*-*-*-*-*- #input normalization 18.1676 49.8755 14.3246 27.0148 33.0488 45.2536 13.7081 41.5048 32.1536 105.28 0.645784 1.95778 0.398419 0.142722 9.64493 3.39101 2.7212 0.35616 0.674466 1.488 0.643607 1.60332 1.25643 4.09316 #output normalization 1 0 #neurons weights -0.386534 -0.288389 -0.470343 0.157093 0.328038 0.307656 0.388119 0.464037 0.0709642 0.47465 0.189724 -0.215249 -0.253945 -0.725034 0.0830507 -2.633 0.499643 0.259008 0.174847 1.86268 0.601471 -0.752321 4.99887 0.287541 -0.988312 -0.442774 -0.169416 0.253949 -0.41281 -0.258252 -0.581371 0.46586 -0.511648 -0.246757 -0.4677 -0.120982 -0.693265 0.498983 #synapses weights -0.933374 1.19929 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-0.70796 0.0344192 1.75239 -0.867449 -2.8141 1.39083 0.432762 0.263454 -0.244466 0.769451 0.0952517 0.269116 -0.544277 -0.32182 -2.53129 -1.18766 -4.51913 0.279658 0.199119 0.359066 -0.176849 1.52009 -1.0381 -0.385953 0.0411465 -0.410339 -0.909517 -0.466781 -0.356406 0.0216011 0.604152 0.109985 -0.214705 -0.622495 -0.622295 0.293558 0.783528 -1.24962 -0.220522 -0.345511 -0.491793 -1.14323 -0.172055 -0.0882574 -0.270169 -0.271907 -0.922379 -0.344685 0.00537527 -0.0589435 -0.636431 0.384384 -0.116353 -0.28743 -0.235341 0.159316 0.316893 -0.208618 -0.282155 -0.0955397 0.0550283 -0.0475185 0.249619 -0.491954 -0.205225 0.183979 0.0390197 0.194351 -0.628226 -0.25475 0.0233457 0.0991473 -0.0440861 0.315428 0.0457434 0.288163 -0.000183514 0.288702 -0.385503 -0.292103 -0.0136708 -0.803799 -0.276313 -0.398235 -0.632756 -0.403819 0.0732791 -0.361798 -0.0110805 0.225117 -0.055818 0.362925 0.307885 0.0667969 0.367088 -0.503614 0.310231 0.0165487 -0.171118 -0.238717 -0.570302 -0.919531 0.883698 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