Sun Feb 7 08:55:55 GMT 2016 Linux pclt 2.6.32-573.8.1.el6.x86_64 #1 SMP Wed Nov 11 15:27:45 CET 2015 x86_64 x86_64 x86_64 GNU/Linux Submit Host pciy `/usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/configs/training/TMVA-TrainPhysTks-EvalPhysTks-NoReweight.txt' -> `train-config.txt' `/usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/configs/training/AllPhysTracksInEvent.txt' -> `./AllPhysTracksInEvent.txt' `/usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/configs/training/AllPhysTracksInEvent.txt' -> `./AllPhysTracksInEvent.txt' `/usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/configs/TrackSelection/NoTrackPreSelection.txt' -> `./NoTrackPreSelection.txt' `/usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/configs/training//MVA-Configuration.txt' -> `MVA.txt' `/usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/configs/training//MC2015Sim09Dev03-TrainingFiles-Mixture-Cambridge.txt' -> `TrainingFiles-Mixture.txt' `/usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/configs/training//MC2015Sim09Dev03-TrainingFiles-Mixture-Cambridge.txt' -> `MC2015Sim09Dev03-EvalFiles-Mixture.txt' Training in /usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/results/MC2015Sim09Dev03/TrainMixture/TrainPhysTks-EvalPhysTks-NoReweight/GhostAccFrac1.0/ProtonAccFrac1.0/KaonAccFrac1.0/TMVA-Run2-NoTkLikCDVelodEdx/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/CVTest15/CVImp1e-16/NotUseRegulator/Kaon/Upstream Will use ionice `/usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/configs/networks/TMVA-Run2-NoTkLikCDVelodEdx/GlobalPID_Kaon_Upstream_ANN.txt' -> `./GlobalPID_Kaon_Upstream_ANN.txt' 2016-02-07 08:56:00 | Cache directory = '/var/work/jonesc/ANNPID-DataCache' Warning in : class pair found in libEventPackerDict.so is already in libPhysEventDict.so 2016-02-07 08:56:02 | Network Config file = /usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/results/MC2015Sim09Dev03/TrainMixture/TrainPhysTks-EvalPhysTks-NoReweight/GhostAccFrac1.0/ProtonAccFrac1.0/KaonAccFrac1.0/TMVA-Run2-NoTkLikCDVelodEdx/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/CVTest15/CVImp1e-16/NotUseRegulator/Kaon/Upstream/GlobalPID_Kaon_Upstream_ANN.txt 2016-02-07 08:56:02 | Training parameters file = /usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/results/MC2015Sim09Dev03/TrainMixture/TrainPhysTks-EvalPhysTks-NoReweight/GhostAccFrac1.0/ProtonAccFrac1.0/KaonAccFrac1.0/TMVA-Run2-NoTkLikCDVelodEdx/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/CVTest15/CVImp1e-16/NotUseRegulator/Kaon/Upstream/train-config.txt 2016-02-07 08:56:02 | Particle type = Kaon 2016-02-07 08:56:02 | Background types = All 2016-02-07 08:56:02 | Training Mix = NaturalMix 2016-02-07 08:56:02 | Track type = Upstream 2016-02-07 08:56:02 | Track PresSel = NoTrackPreSelection.txt 2016-02-07 08:56:02 | Network type = TMVA 2016-02-07 08:56:02 | Ghost treatment = Ghosts Ghosts 2016-02-07 08:56:02 | MC Track sel. = AllPhysTracksInEvent.txt AllPhysTracksInEvent.txt 2016-02-07 08:56:02 | Reweighting = NoReweight 2016-02-07 08:56:02 | Output file = GlobalPID_Kaon_Upstream_TMVA.weights.xml 2016-02-07 08:56:02 | Skipping input #TrackCloneDist 2016-02-07 08:56:02 | Skipping input #RichUsedR2Gas 2016-02-07 08:56:02 | Skipping input #RichAboveElThres 2016-02-07 08:56:02 | Skipping input #RichAboveMuThres 2016-02-07 08:56:02 | Creating selection from 'NoTrackPreSelection.txt' 2016-02-07 08:56:02 | -> # very very loose. Essentially no cuts 2016-02-07 08:56:02 | -> TrackP > 0 2016-02-07 08:56:02 | -> TrackPt > 0 2016-02-07 08:56:02 | Creating selection from 'AllPhysTracksInEvent.txt' 2016-02-07 08:56:02 | -> !HasMC || MCVertexType==1 || MCVertexType==2 2016-02-07 08:56:02 | Training sample size = 1800000 2016-02-07 08:56:02 | Evaluation sample size = 10000000 2016-02-07 08:56:02 | Reading Parameters file = /usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/results/MC2015Sim09Dev03/TrainMixture/TrainPhysTks-EvalPhysTks-NoReweight/GhostAccFrac1.0/ProtonAccFrac1.0/KaonAccFrac1.0/TMVA-Run2-NoTkLikCDVelodEdx/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/CVTest15/CVImp1e-16/NotUseRegulator/Kaon/Upstream/MVA.txt 2016-02-07 08:56:02 | -> NBTASK = CLA 2016-02-07 08:56:02 | -> NBMOM = 0.0 2016-02-07 08:56:02 | -> NBREG = ALL 2016-02-07 08:56:02 | -> TMVAVALIDATIONFRAC = 0.3 2016-02-07 08:56:02 | -> TMVATESTFRAC = 0.3 2016-02-07 08:56:02 | -> HiddenLayerScaleFactor = 1.4 2016-02-07 08:56:02 | -> GhostAcceptFraction = 1.0 2016-02-07 08:56:02 | -> KaonAcceptFraction = 1.0 2016-02-07 08:56:02 | -> ProtonAcceptFraction = 1.0 2016-02-07 08:56:02 | -> ReuseTrainingFiles = 0 2016-02-07 08:56:02 | -> TrainingYear = MC2015Sim09Dev03 2016-02-07 08:56:02 | -> TMVAMETHOD = MLP 2016-02-07 08:56:02 | -> TMVAUSEREGULATOR = false 2016-02-07 08:56:02 | -> TMVAMLPNCYCLES = 750 2016-02-07 08:56:02 | -> TMVAVARTRANSFORM = Norm 2016-02-07 08:56:02 | -> TMVAMLPNEURONTYPE = tanh 2016-02-07 08:56:02 | -> TMVAMLPMETHOD = BP 2016-02-07 08:56:02 | -> TMVAMLPESTIMATORTYPE = CE 2016-02-07 08:56:02 | -> TMVAMLPCONVIMPROVE = 1e-16 2016-02-07 08:56:02 | -> TMVAMLPCONVTEST = 15 2016-02-07 08:56:02 | -> TMVABDTBOOSTTYPE = AdaBoost 2016-02-07 08:56:02 | -> TMVABDTNTREES = 800 2016-02-07 08:56:02 | -> TMVABDTPRUNEMETHOD = CostComplexity 2016-02-07 08:56:02 | -> TMVABDTMAXTREEDEPTH = 3 2016-02-07 08:56:02 | Node layer two scale = 1.4 2016-02-07 08:56:02 | Input layer has 19 nodes, hidden layer has 25 nodes 2016-02-07 08:56:02 | Ghost Accept Fraction = 1 2016-02-07 08:56:02 | Proton Accept Fraction = 1 2016-02-07 08:56:02 | Kaon Accept Fraction = 1 2016-02-07 08:56:02 | Training data year = MC2015Sim09Dev03 2016-02-07 08:56:02 | Evaluation data year = MC12 2016-02-07 08:56:02 | TMVA Output ROOT file Upstream-Kaon-TMVA.root 2016-02-07 08:56:02 | TMVA testing fraction = 0.3 --- Factory : Parsing option string: --- Factory : ... "V:!Silent:!Color:!DrawProgressBar" --- Factory : The following options are set: --- Factory : - By User: --- Factory : V: "True" [Verbose flag] --- Factory : Color: "False" [Flag for coloured screen output (default: True, if in batch mode: False)] --- Factory : Silent: "False" [Batch mode: boolean silent flag inhibiting any output from TMVA after the creation of the factory class object (default: False)] --- Factory : DrawProgressBar: "False" [Draw progress bar to display training, testing and evaluation schedule (default: True)] --- Factory : - Default: --- Factory : Transformations: "I" [List of transformations to test; formatting example: "Transformations=I;D;P;U;G,D", for identity, decorrelation, PCA, Uniform and Gaussianisation followed by decorrelation transformations] --- Factory : AnalysisType: "Auto" [Set the analysis type (Classification, Regression, Multiclass, Auto) (default: Auto)] --- Factory : You are running ROOT Version: 6.02/01, Oct 14, 2014 --- Factory : --- Factory : _/_/_/_/_/ _| _| _| _| _|_| --- Factory : _/ _|_| _|_| _| _| _| _| --- Factory : _/ _| _| _| _| _| _|_|_|_| --- Factory : _/ _| _| _| _| _| _| --- Factory : _/ _| _| _| _| _| --- Factory : --- Factory : ___________TMVA Version 4.2.0, Sep 19, 2013 --- Factory : 2016-02-07 08:56:02 | Input TrackP Type F 2016-02-07 08:56:02 | Input TrackPt Type F 2016-02-07 08:56:02 | Input TrackChi2PerDof Type F 2016-02-07 08:56:02 | Input TrackNumDof Type I 2016-02-07 08:56:02 | Input TrackGhostProbability Type F 2016-02-07 08:56:02 | Input TrackFitVeloChi2 Type F 2016-02-07 08:56:02 | Input TrackFitVeloNDoF Type I 2016-02-07 08:56:02 | Input RichUsedR1Gas Type I 2016-02-07 08:56:02 | Input RichAbovePiThres Type I 2016-02-07 08:56:02 | Input RichAboveKaThres Type I 2016-02-07 08:56:02 | Input RichAbovePrThres Type I 2016-02-07 08:56:02 | Input RichDLLe Type F 2016-02-07 08:56:02 | Input RichDLLmu Type F 2016-02-07 08:56:02 | Input RichDLLk Type F 2016-02-07 08:56:02 | Input RichDLLp Type F 2016-02-07 08:56:02 | Input RichDLLbt Type F 2016-02-07 08:56:02 | Input InAccBrem Type I 2016-02-07 08:56:02 | Input BremPIDe Type F 2016-02-07 08:56:02 | Input Data file = TrainingFiles-Mixture.txt 2016-02-07 08:56:02 | Using 552 data files 2016-02-07 08:56:02 | Training Datafile Selection hash = 11409586698025869281 2016-02-07 08:56:02 | Using training file (1/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.1.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 08:56:02 | -> Pre-selected 124162 entries from 124162 ( 100 % ) --- DataSetInfo : Added class "Background" with internal class number 0 --- DataSetInfo : Added class "Signal" with internal class number 1 2016-02-07 08:56:04 | -> Selected 124162 entries ( 100 % ). Overall 68935 ( 3.82972 % ) of required 1800000 entries. 2016-02-07 08:56:04 | Using training file (2/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.2.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 08:56:04 | -> Pre-selected 135973 entries from 135973 ( 100 % ) 2016-02-07 08:56:07 | -> Selected 135973 entries ( 100 % ). Overall 142537 ( 7.91872 % ) of required 1800000 entries. 2016-02-07 08:56:07 | Using training file (3/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.3.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 08:56:07 | -> Pre-selected 687186 entries from 687186 ( 100 % ) 2016-02-07 08:56:20 | -> Selected 687186 entries ( 100 % ). Overall 515888 ( 28.6604 % ) of required 1800000 entries. 2016-02-07 08:56:20 | Using training file (4/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.4.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 08:56:21 | -> Pre-selected 653314 entries from 653314 ( 100 % ) 2016-02-07 08:56:33 | -> Selected 653314 entries ( 100 % ). Overall 870293 ( 48.3496 % ) of required 1800000 entries. 2016-02-07 08:56:33 | Using training file (5/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.5.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 08:56:34 | -> Pre-selected 645930 entries from 645930 ( 100 % ) 2016-02-07 08:56:46 | -> Selected 645930 entries ( 100 % ). Overall 1222636 ( 67.9242 % ) of required 1800000 entries. 2016-02-07 08:56:46 | Using training file (6/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.6.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 08:56:47 | -> Pre-selected 650774 entries from 650774 ( 100 % ) 2016-02-07 08:56:59 | -> Selected 650774 entries ( 100 % ). Overall 1575593 ( 87.5329 % ) of required 1800000 entries. 2016-02-07 08:56:59 | Using training file (7/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.7.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 08:57:00 | -> Pre-selected 679639 entries from 679639 ( 100 % ) 2016-02-07 08:57:08 | -> Selected 414657 entries ( 61.0114 % ). Overall 1800000 ( 100 % ) of required 1800000 entries. 2016-02-07 08:57:08 | Considered 3311996 tracks for input to MVA training 2016-02-07 08:57:08 | Sel. Eff. = 100% 2016-02-07 08:57:08 | Selected 2541389/770607 tracks for input to MVA training/testing 2016-02-07 08:57:08 | Ghost percentage = 28.8376% 2016-02-07 08:57:08 | Electron percentage = 1.01294% 2016-02-07 08:57:08 | Muon percentage = 0.801556% 2016-02-07 08:57:08 | Pion percentage = 79.0097% 2016-02-07 08:57:08 | Kaon percentage = 12.9424% 2016-02-07 08:57:08 | Unknown Particle type 411 2016-02-07 08:57:08 | percentage = 0.000111111% 2016-02-07 08:57:08 | Proton percentage = 5.95611% 2016-02-07 08:57:08 | Unknown Particle type 3112 2016-02-07 08:57:08 | percentage = 0.120778% 2016-02-07 08:57:08 | Unknown Particle type 3222 2016-02-07 08:57:08 | percentage = 0.105944% 2016-02-07 08:57:08 | Unknown Particle type 3312 2016-02-07 08:57:08 | percentage = 0.0496111% 2016-02-07 08:57:08 | Unknown Particle type 3334 2016-02-07 08:57:08 | percentage = 0.000777778% --- Factory : Add Tree TrainAssignTree_Background of type Background with 2086112 events --- Factory : Add Tree TestAssignTree_Background of type Background with 892692 events --- Factory : Add Tree TrainAssignTree_Signal of type Signal with 232964 events --- Factory : Add Tree TestAssignTree_Signal of type Signal with 100228 events --- DataSetInfo : Class index : 0 name : Background --- DataSetInfo : Class index : 1 name : Signal 2016-02-07 08:57:08 | TMVA MLP 'H:V:EpochMonitoring:HiddenLayers=25:UseRegulator=false:ConvergenceImprove=1e-16:ConvergenceTests=15:VarTransform=Norm:NCycles=750:NeuronType=tanh:TrainingMethod=BP:EstimatorType=CE' --- Factory : Booking method: Kaon_Upstream_TMVA --- Configurable : Parsing option string: --- Configurable : ... "H:V:EpochMonitoring:HiddenLayers=25:UseRegulator=false:ConvergenceImprove=1e-16:ConvergenceTests=15:VarTransform=Norm:NCycles=750:NeuronType=tanh:TrainingMethod=BP:EstimatorType=CE" --- Configurable : The following options are set: --- Configurable : - By User: --- Configurable : --- Configurable : - Default: --- Configurable : Boost_num: "0" [Number of times the classifier will be boosted] --- Kaon_Upstream_TMVA : Parsing option string: --- Kaon_Upstream_TMVA : ... "H:V:EpochMonitoring:HiddenLayers=25:UseRegulator=false:ConvergenceImprove=1e-16:ConvergenceTests=15:VarTransform=Norm:NCycles=750:NeuronType=tanh:TrainingMethod=BP:EstimatorType=CE" --- Kaon_Upstream_TMVA : The following options are set: --- Kaon_Upstream_TMVA : - By User: --- Kaon_Upstream_TMVA : NCycles: "750" [Number of training cycles] --- Kaon_Upstream_TMVA : HiddenLayers: "25" [Specification of hidden layer architecture] --- Kaon_Upstream_TMVA : NeuronType: "tanh" [Neuron activation function type] --- Kaon_Upstream_TMVA : EstimatorType: "CE" [MSE (Mean Square Estimator) for Gaussian Likelihood or CE(Cross-Entropy) for Bernoulli Likelihood] --- Kaon_Upstream_TMVA : V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)] --- Kaon_Upstream_TMVA : VarTransform: "Norm" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"] --- Kaon_Upstream_TMVA : H: "True" [Print method-specific help message] --- Kaon_Upstream_TMVA : TrainingMethod: "BP" [Train with Back-Propagation (BP), BFGS Algorithm (BFGS), or Genetic Algorithm (GA - slower and worse)] --- Kaon_Upstream_TMVA : EpochMonitoring: "True" [Provide epoch-wise monitoring plots according to TestRate (caution: causes big ROOT output file!)] --- Kaon_Upstream_TMVA : ConvergenceImprove: "1.000000e-16" [Minimum improvement which counts as improvement (<0 means automatic convergence check is turned off)] --- Kaon_Upstream_TMVA : ConvergenceTests: "15" [Number of steps (without improvement) required for convergence (<0 means automatic convergence check is turned off)] --- Kaon_Upstream_TMVA : UseRegulator: "False" [Use regulator to avoid over-training] --- Kaon_Upstream_TMVA : - Default: --- Kaon_Upstream_TMVA : RandomSeed: "1" [Random seed for initial synapse weights (0 means unique seed for each run; default value '1')] --- Kaon_Upstream_TMVA : NeuronInputType: "sum" [Neuron input function type] --- Kaon_Upstream_TMVA : VerbosityLevel: "Default" [Verbosity level] --- Kaon_Upstream_TMVA : CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)] --- Kaon_Upstream_TMVA : IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)] --- Kaon_Upstream_TMVA : LearningRate: "2.000000e-02" [ANN learning rate parameter] --- Kaon_Upstream_TMVA : DecayRate: "1.000000e-02" [Decay rate for learning parameter] --- Kaon_Upstream_TMVA : TestRate: "10" [Test for overtraining performed at each #th epochs] --- Kaon_Upstream_TMVA : Sampling: "1.000000e+00" [Only 'Sampling' (randomly selected) events are trained each epoch] --- Kaon_Upstream_TMVA : SamplingEpoch: "1.000000e+00" [Sampling is used for the first 'SamplingEpoch' epochs, afterwards, all events are taken for training] --- Kaon_Upstream_TMVA : SamplingImportance: "1.000000e+00" [ The sampling weights of events in epochs which successful (worse estimator than before) are multiplied with SamplingImportance, else they are divided.] --- Kaon_Upstream_TMVA : SamplingTraining: "True" [The training sample is sampled] --- Kaon_Upstream_TMVA : SamplingTesting: "False" [The testing sample is sampled] --- Kaon_Upstream_TMVA : ResetStep: "50" [How often BFGS should reset history] --- Kaon_Upstream_TMVA : Tau: "3.000000e+00" [LineSearch "size step"] --- Kaon_Upstream_TMVA : BPMode: "sequential" [Back-propagation learning mode: sequential or batch] --- Kaon_Upstream_TMVA : BatchSize: "-1" [Batch size: number of events/batch, only set if in Batch Mode, -1 for BatchSize=number_of_events] --- Kaon_Upstream_TMVA : UpdateLimit: "10000" [Maximum times of regulator update] --- Kaon_Upstream_TMVA : CalculateErrors: "False" [Calculates inverse Hessian matrix at the end of the training to be able to calculate the uncertainties of an MVA value] --- Kaon_Upstream_TMVA : WeightRange: "1.000000e+00" [Take the events for the estimator calculations from small deviations from the desired value to large deviations only over the weight range] --- Kaon_Upstream_TMVA : Create Transformation "Norm" with events from all classes. --- Norm : Transformation, Variable selection : --- Norm : Input : variable 'TrackP' (index=0). <---> Output : variable 'TrackP' (index=0). --- Norm : Input : variable 'TrackPt' (index=1). <---> Output : variable 'TrackPt' (index=1). --- Norm : Input : variable 'TrackChi2PerDof' (index=2). <---> Output : variable 'TrackChi2PerDof' (index=2). --- Norm : Input : variable 'TrackNumDof' (index=3). <---> Output : variable 'TrackNumDof' (index=3). --- Norm : Input : variable 'TrackGhostProbability' (index=4). <---> Output : variable 'TrackGhostProbability' (index=4). --- Norm : Input : variable 'TrackFitVeloChi2' (index=5). <---> Output : variable 'TrackFitVeloChi2' (index=5). --- Norm : Input : variable 'TrackFitVeloNDoF' (index=6). <---> Output : variable 'TrackFitVeloNDoF' (index=6). --- Norm : Input : variable 'RichUsedR1Gas' (index=7). <---> Output : variable 'RichUsedR1Gas' (index=7). --- Norm : Input : variable 'RichAbovePiThres' (index=8). <---> Output : variable 'RichAbovePiThres' (index=8). --- Norm : Input : variable 'RichAboveKaThres' (index=9). <---> Output : variable 'RichAboveKaThres' (index=9). --- Norm : Input : variable 'RichAbovePrThres' (index=10). <---> Output : variable 'RichAbovePrThres' (index=10). --- Norm : Input : variable 'RichDLLe' (index=11). <---> Output : variable 'RichDLLe' (index=11). --- Norm : Input : variable 'RichDLLmu' (index=12). <---> Output : variable 'RichDLLmu' (index=12). --- Norm : Input : variable 'RichDLLk' (index=13). <---> Output : variable 'RichDLLk' (index=13). --- Norm : Input : variable 'RichDLLp' (index=14). <---> Output : variable 'RichDLLp' (index=14). --- Norm : Input : variable 'RichDLLbt' (index=15). <---> Output : variable 'RichDLLbt' (index=15). --- Norm : Input : variable 'InAccBrem' (index=16). <---> Output : variable 'InAccBrem' (index=16). --- Norm : Input : variable 'BremPIDe' (index=17). <---> Output : variable 'BremPIDe' (index=17). --- Kaon_Upstream_TMVA : Building Network --- Kaon_Upstream_TMVA : Initializing weights 2016-02-07 08:57:08 | Starting Training... --- DataSetFactory : Parsing option string: --- DataSetFactory : ... "V:nTrain_Signal=0:nTrain_Background=0:SplitMode=Random:NormMode=None" --- DataSetFactory : The following options are set: --- DataSetFactory : - By User: --- DataSetFactory : SplitMode: "Random" [Method of picking training and testing events (default: random)] --- DataSetFactory : NormMode: "None" [Overall renormalisation of event-by-event weights used in the training (NumEvents: average weight of 1 per event, independently for signal and background; EqualNumEvents: average weight of 1 per event for signal, and sum of weights for background equal to sum of weights for signal)] --- DataSetFactory : nTrain_Background: "0" [Number of training events of class Background (default: 0 = all)] --- DataSetFactory : nTrain_Signal: "0" [Number of training events of class Signal (default: 0 = all)] --- DataSetFactory : V: "True" [Verbosity (default: true)] --- DataSetFactory : - Default: --- DataSetFactory : MixMode: "SameAsSplitMode" [Method of mixing events of differnt classes into one dataset (default: SameAsSplitMode)] --- DataSetFactory : SplitSeed: "100" [Seed for random event shuffling] --- DataSetFactory : ScaleWithPreselEff: "False" [Scale the number of requested events by the eff. of the preselection cuts (or not)] --- DataSetFactory : nTest_Background: "0" [Number of test events of class Background (default: 0 = all)] --- DataSetFactory : nTest_Signal: "0" [Number of test events of class Signal (default: 0 = all)] --- DataSetFactory : VerboseLevel: "Info" [VerboseLevel (Debug/Verbose/Info)] --- DataSetFactory : Splitmode is: "RANDOM" the mixmode is: "SAMEASSPLITMODE" --- DataSetFactory : Create training and testing trees -- looping over class "Background" ... --- DataSetFactory : Weight expression for class 'Background': "weight" --- DataSetFactory : Create training and testing trees -- looping over class "Signal" ... --- DataSetFactory : Weight expression for class 'Signal': "weight" --- DataSetFactory : Number of events in input trees (after possible flattening of arrays): --- DataSetFactory : Background -- number of events : 2978804 / sum of weights: 2.9788e+06 --- DataSetFactory : Signal -- number of events : 333192 / sum of weights: 333192 --- DataSetFactory : Background tree -- total number of entries: 2978804 --- DataSetFactory : Signal tree -- total number of entries: 333192 --- DataSetFactory : Preselection: (will NOT affect number of requested training and testing events) --- DataSetFactory : No preselection cuts applied on event classes --- DataSetFactory : No weight renormalisation applied: use original global and event weights --- DataSetFactory : Create internal training tree --- DataSetFactory : Create internal testing tree --- DataSetInfo : Correlation matrix (Background): --- DataSetInfo : ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- --- DataSetInfo : TrackP TrackPt TrackChi2PerDof TrackNumDof TrackGhostProbability TrackFitVeloChi2 TrackFitVeloNDoF RichUsedR1Gas RichAbovePiThres RichAboveKaThres RichAbovePrThres RichDLLe RichDLLmu RichDLLk RichDLLp RichDLLbt InAccBrem BremPIDe --- DataSetInfo : TrackP: +1.000 +0.700 +0.076 +0.006 +0.011 +0.015 -0.004 -0.058 +0.062 +0.146 +0.193 -0.056 -0.058 -0.058 -0.058 -0.059 -0.121 -0.121 --- DataSetInfo : TrackPt: +0.700 +1.000 +0.058 -0.001 +0.006 +0.015 -0.006 +0.016 +0.074 +0.112 +0.155 +0.016 +0.016 +0.016 +0.016 +0.016 -0.017 -0.017 --- DataSetInfo : TrackChi2PerDof: +0.076 +0.058 +1.000 +0.058 +0.307 +0.556 +0.022 +0.050 +0.192 +0.166 +0.139 +0.055 +0.050 +0.050 +0.050 +0.049 -0.095 -0.095 --- DataSetInfo : TrackNumDof: +0.006 -0.001 +0.058 +1.000 -0.173 +0.598 +0.981 +0.231 +0.240 +0.169 +0.079 +0.236 +0.231 +0.228 +0.228 +0.228 +0.192 +0.192 --- DataSetInfo : TrackGhostProbability: +0.011 +0.006 +0.307 -0.173 +1.000 -0.038 -0.083 -0.126 -0.081 -0.028 +0.014 -0.117 -0.124 -0.124 -0.124 -0.124 -0.016 -0.016 --- DataSetInfo : TrackFitVeloChi2: +0.015 +0.015 +0.556 +0.598 -0.038 +1.000 +0.594 +0.170 +0.204 +0.147 +0.080 +0.173 +0.170 +0.169 +0.168 +0.168 +0.126 +0.126 --- DataSetInfo : TrackFitVeloNDoF: -0.004 -0.006 +0.022 +0.981 -0.083 +0.594 +1.000 +0.195 +0.184 +0.138 +0.061 +0.201 +0.195 +0.193 +0.193 +0.193 +0.219 +0.219 --- DataSetInfo : RichUsedR1Gas: -0.058 +0.016 +0.050 +0.231 -0.126 +0.170 +0.195 +1.000 +0.334 +0.139 +0.082 +0.999 +1.000 +1.000 +1.000 +1.000 +0.441 +0.441 --- DataSetInfo : RichAbovePiThres: +0.062 +0.074 +0.192 +0.240 -0.081 +0.204 +0.184 +0.334 +1.000 +0.417 +0.245 +0.337 +0.331 +0.328 +0.327 +0.327 +0.068 +0.068 --- DataSetInfo : RichAboveKaThres: +0.146 +0.112 +0.166 +0.169 -0.028 +0.147 +0.138 +0.139 +0.417 +1.000 +0.587 +0.148 +0.140 +0.137 +0.134 +0.133 -0.071 -0.071 --- DataSetInfo : RichAbovePrThres: +0.193 +0.155 +0.139 +0.079 +0.014 +0.080 +0.061 +0.082 +0.245 +0.587 +1.000 +0.088 +0.083 +0.083 +0.081 +0.079 -0.077 -0.077 --- DataSetInfo : RichDLLe: -0.056 +0.016 +0.055 +0.236 -0.117 +0.173 +0.201 +0.999 +0.337 +0.148 +0.088 +1.000 +0.999 +0.999 +0.999 +0.999 +0.438 +0.438 --- DataSetInfo : RichDLLmu: -0.058 +0.016 +0.050 +0.231 -0.124 +0.170 +0.195 +1.000 +0.331 +0.140 +0.083 +0.999 +1.000 +1.000 +1.000 +1.000 +0.441 +0.441 --- DataSetInfo : RichDLLk: -0.058 +0.016 +0.050 +0.228 -0.124 +0.169 +0.193 +1.000 +0.328 +0.137 +0.083 +0.999 +1.000 +1.000 +1.000 +1.000 +0.441 +0.441 --- DataSetInfo : RichDLLp: -0.058 +0.016 +0.050 +0.228 -0.124 +0.168 +0.193 +1.000 +0.327 +0.134 +0.081 +0.999 +1.000 +1.000 +1.000 +1.000 +0.442 +0.442 --- DataSetInfo : RichDLLbt: -0.059 +0.016 +0.049 +0.228 -0.124 +0.168 +0.193 +1.000 +0.327 +0.133 +0.079 +0.999 +1.000 +1.000 +1.000 +1.000 +0.443 +0.442 --- DataSetInfo : InAccBrem: -0.121 -0.017 -0.095 +0.192 -0.016 +0.126 +0.219 +0.441 +0.068 -0.071 -0.077 +0.438 +0.441 +0.441 +0.442 +0.443 +1.000 +1.000 --- DataSetInfo : BremPIDe: -0.121 -0.017 -0.095 +0.192 -0.016 +0.126 +0.219 +0.441 +0.068 -0.071 -0.077 +0.438 +0.441 +0.441 +0.442 +0.442 +1.000 +1.000 --- DataSetInfo : ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- --- DataSetInfo : Correlation matrix (Signal): --- DataSetInfo : ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- --- DataSetInfo : TrackP TrackPt TrackChi2PerDof TrackNumDof TrackGhostProbability TrackFitVeloChi2 TrackFitVeloNDoF RichUsedR1Gas RichAbovePiThres RichAboveKaThres RichAbovePrThres RichDLLe RichDLLmu RichDLLk RichDLLp RichDLLbt InAccBrem BremPIDe --- DataSetInfo : TrackP: +1.000 +0.659 +0.067 -0.007 +0.024 +0.004 -0.014 -0.140 +0.024 +0.153 +0.202 -0.136 -0.140 -0.139 -0.140 -0.141 -0.173 -0.173 --- DataSetInfo : TrackPt: +0.659 +1.000 +0.060 -0.021 +0.019 +0.005 -0.025 +0.007 +0.079 +0.122 +0.155 +0.009 +0.007 +0.010 +0.010 +0.010 -0.018 -0.018 --- DataSetInfo : TrackChi2PerDof: +0.067 +0.060 +1.000 +0.063 +0.342 +0.578 +0.047 -0.008 +0.129 +0.124 +0.106 -0.004 -0.008 -0.006 -0.006 -0.007 -0.058 -0.058 --- DataSetInfo : TrackNumDof: -0.007 -0.021 +0.063 +1.000 -0.162 +0.627 +0.986 +0.224 +0.286 +0.206 +0.092 +0.236 +0.225 +0.225 +0.224 +0.223 +0.238 +0.238 --- DataSetInfo : TrackGhostProbability: +0.024 +0.019 +0.342 -0.162 +1.000 -0.040 -0.089 -0.106 -0.119 -0.021 +0.017 -0.105 -0.105 -0.108 -0.107 -0.107 -0.048 -0.048 --- DataSetInfo : TrackFitVeloChi2: +0.004 +0.005 +0.578 +0.627 -0.040 +1.000 +0.629 +0.153 +0.219 +0.164 +0.084 +0.161 +0.154 +0.155 +0.154 +0.154 +0.159 +0.159 --- DataSetInfo : TrackFitVeloNDoF: -0.014 -0.025 +0.047 +0.986 -0.089 +0.629 +1.000 +0.209 +0.245 +0.187 +0.079 +0.220 +0.210 +0.209 +0.208 +0.208 +0.249 +0.249 --- DataSetInfo : RichUsedR1Gas: -0.140 +0.007 -0.008 +0.224 -0.106 +0.153 +0.209 +1.000 +0.403 +0.149 +0.085 +0.999 +1.000 +0.999 +0.999 +0.999 +0.638 +0.638 --- DataSetInfo : RichAbovePiThres: +0.024 +0.079 +0.129 +0.286 -0.119 +0.219 +0.245 +0.403 +1.000 +0.370 +0.211 +0.419 +0.401 +0.414 +0.412 +0.411 +0.218 +0.218 --- DataSetInfo : RichAboveKaThres: +0.153 +0.122 +0.124 +0.206 -0.021 +0.164 +0.187 +0.149 +0.370 +1.000 +0.571 +0.166 +0.152 +0.158 +0.152 +0.150 -0.039 -0.039 --- DataSetInfo : RichAbovePrThres: +0.202 +0.155 +0.106 +0.092 +0.017 +0.084 +0.079 +0.085 +0.211 +0.571 +1.000 +0.095 +0.087 +0.090 +0.085 +0.081 -0.084 -0.084 --- DataSetInfo : RichDLLe: -0.136 +0.009 -0.004 +0.236 -0.105 +0.161 +0.220 +0.999 +0.419 +0.166 +0.095 +1.000 +0.999 +0.999 +0.999 +0.999 +0.635 +0.635 --- DataSetInfo : RichDLLmu: -0.140 +0.007 -0.008 +0.225 -0.105 +0.154 +0.210 +1.000 +0.401 +0.152 +0.087 +0.999 +1.000 +0.999 +0.999 +0.999 +0.637 +0.637 --- DataSetInfo : RichDLLk: -0.139 +0.010 -0.006 +0.225 -0.108 +0.155 +0.209 +0.999 +0.414 +0.158 +0.090 +0.999 +0.999 +1.000 +1.000 +1.000 +0.639 +0.639 --- DataSetInfo : RichDLLp: -0.140 +0.010 -0.006 +0.224 -0.107 +0.154 +0.208 +0.999 +0.412 +0.152 +0.085 +0.999 +0.999 +1.000 +1.000 +1.000 +0.640 +0.640 --- DataSetInfo : RichDLLbt: -0.141 +0.010 -0.007 +0.223 -0.107 +0.154 +0.208 +0.999 +0.411 +0.150 +0.081 +0.999 +0.999 +1.000 +1.000 +1.000 +0.640 +0.640 --- DataSetInfo : InAccBrem: -0.173 -0.018 -0.058 +0.238 -0.048 +0.159 +0.249 +0.638 +0.218 -0.039 -0.084 +0.635 +0.637 +0.639 +0.640 +0.640 +1.000 +1.000 --- DataSetInfo : BremPIDe: -0.173 -0.018 -0.058 +0.238 -0.048 +0.159 +0.249 +0.638 +0.218 -0.039 -0.084 +0.635 +0.637 +0.639 +0.640 +0.640 +1.000 +1.000 --- DataSetInfo : ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- --- DataSetFactory : --- Factory : --- Factory : current transformation string: 'I' --- Factory : Create Transformation "I" with events from all classes. --- Id : Transformation, Variable selection : --- Id : Input : variable 'TrackP' (index=0). <---> Output : variable 'TrackP' (index=0). --- Id : Input : variable 'TrackPt' (index=1). <---> Output : variable 'TrackPt' (index=1). --- Id : Input : variable 'TrackChi2PerDof' (index=2). <---> Output : variable 'TrackChi2PerDof' (index=2). --- Id : Input : variable 'TrackNumDof' (index=3). <---> Output : variable 'TrackNumDof' (index=3). --- Id : Input : variable 'TrackGhostProbability' (index=4). <---> Output : variable 'TrackGhostProbability' (index=4). --- Id : Input : variable 'TrackFitVeloChi2' (index=5). <---> Output : variable 'TrackFitVeloChi2' (index=5). --- Id : Input : variable 'TrackFitVeloNDoF' (index=6). <---> Output : variable 'TrackFitVeloNDoF' (index=6). --- Id : Input : variable 'RichUsedR1Gas' (index=7). <---> Output : variable 'RichUsedR1Gas' (index=7). --- Id : Input : variable 'RichAbovePiThres' (index=8). <---> Output : variable 'RichAbovePiThres' (index=8). --- Id : Input : variable 'RichAboveKaThres' (index=9). <---> Output : variable 'RichAboveKaThres' (index=9). --- Id : Input : variable 'RichAbovePrThres' (index=10). <---> Output : variable 'RichAbovePrThres' (index=10). --- Id : Input : variable 'RichDLLe' (index=11). <---> Output : variable 'RichDLLe' (index=11). --- Id : Input : variable 'RichDLLmu' (index=12). <---> Output : variable 'RichDLLmu' (index=12). --- Id : Input : variable 'RichDLLk' (index=13). <---> Output : variable 'RichDLLk' (index=13). --- Id : Input : variable 'RichDLLp' (index=14). <---> Output : variable 'RichDLLp' (index=14). --- Id : Input : variable 'RichDLLbt' (index=15). <---> Output : variable 'RichDLLbt' (index=15). --- Id : Input : variable 'InAccBrem' (index=16). <---> Output : variable 'InAccBrem' (index=16). --- Id : Input : variable 'BremPIDe' (index=17). <---> Output : variable 'BremPIDe' (index=17). --- Id : Preparing the Identity transformation... --- TFHandler_Factory : ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Factory : Variable Mean RMS [ Min Max ] --- TFHandler_Factory : ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Factory : TrackP: 6888.0 45273. [ 115.48 4.9987e+06 ] --- TFHandler_Factory : TrackPt: 471.73 3277.3 [ 12.883 8.6762e+05 ] --- TFHandler_Factory : TrackChi2PerDof: 0.93261 0.55309 [ 0.0019592 3.9992 ] --- TFHandler_Factory : TrackNumDof: 9.3136 2.8730 [ 4.0000 27.000 ] --- TFHandler_Factory : TrackGhostProbability: 0.10283 0.11124 [ 0.0019293 0.40000 ] --- TFHandler_Factory : TrackFitVeloChi2: 5.6275 4.1618 [ 7.3440e-06 67.393 ] --- TFHandler_Factory : TrackFitVeloNDoF: 5.6480 2.7785 [ 1.0000 23.000 ] --- TFHandler_Factory : RichUsedR1Gas: 0.83536 0.37086 [ 0.0000 1.0000 ] --- TFHandler_Factory : RichAbovePiThres: 0.37432 0.48395 [ 0.0000 1.0000 ] --- TFHandler_Factory : RichAboveKaThres: 0.093458 0.29107 [ 0.0000 1.0000 ] --- TFHandler_Factory : RichAbovePrThres: 0.034155 0.18163 [ 0.0000 1.0000 ] --- TFHandler_Factory : RichDLLe: -175.43 365.98 [ -999.00 168.81 ] --- TFHandler_Factory : RichDLLmu: -166.01 369.87 [ -999.00 114.40 ] --- TFHandler_Factory : RichDLLk: -165.76 370.05 [ -999.00 135.56 ] --- TFHandler_Factory : RichDLLp: -166.08 369.91 [ -999.00 123.22 ] --- TFHandler_Factory : RichDLLbt: -166.26 369.83 [ -999.00 51.958 ] --- TFHandler_Factory : InAccBrem: 0.87814 0.32713 [ 0.0000 1.0000 ] --- TFHandler_Factory : BremPIDe: -121.72 326.81 [ -999.00 4.7915 ] --- TFHandler_Factory : ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Factory : Plot event variables for Id --- TFHandler_Factory : Create scatter and profile plots in target-file directory: --- TFHandler_Factory : Upstream-Kaon-TMVA.root:/InputVariables_Id/CorrelationPlots --- TFHandler_Factory : --- TFHandler_Factory : Ranking input variables (method unspecific)... --- IdTransformation : Ranking result (top variable is best ranked) --- IdTransformation : ---------------------------------------------- --- IdTransformation : Rank : Variable : Separation --- IdTransformation : ---------------------------------------------- --- IdTransformation : 1 : RichDLLp : 1.021e-01 --- IdTransformation : 2 : RichDLLk : 6.771e-02 --- IdTransformation : 3 : RichAbovePiThres : 5.415e-02 --- IdTransformation : 4 : TrackGhostProbability : 4.548e-02 --- IdTransformation : 5 : RichDLLmu : 4.334e-02 --- IdTransformation : 6 : RichDLLbt : 3.802e-02 --- IdTransformation : 7 : TrackPt : 3.564e-02 --- IdTransformation : 8 : RichDLLe : 3.091e-02 --- IdTransformation : 9 : TrackP : 1.433e-02 --- IdTransformation : 10 : RichAboveKaThres : 1.283e-02 --- IdTransformation : 11 : TrackNumDof : 1.150e-02 --- IdTransformation : 12 : RichUsedR1Gas : 9.500e-03 --- IdTransformation : 13 : TrackChi2PerDof : 6.545e-03 --- IdTransformation : 14 : TrackFitVeloChi2 : 5.628e-03 --- IdTransformation : 15 : TrackFitVeloNDoF : 4.868e-03 --- IdTransformation : 16 : RichAbovePrThres : 4.327e-03 --- IdTransformation : 17 : BremPIDe : 9.039e-05 --- IdTransformation : 18 : InAccBrem : 5.843e-06 --- IdTransformation : ---------------------------------------------- --- Factory : --- Factory : Train all methods for Classification ... --- Factory : Train method: Kaon_Upstream_TMVA for Classification --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : ================================================================ --- Kaon_Upstream_TMVA : H e l p f o r M V A m e t h o d [ Kaon_Upstream_TMVA ] : --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : --- Short description: --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : The MLP artificial neural network (ANN) is a traditional feed- --- Kaon_Upstream_TMVA : forward multilayer perceptron impementation. The MLP has a user- --- Kaon_Upstream_TMVA : defined hidden layer architecture, while the number of input (output) --- Kaon_Upstream_TMVA : nodes is determined by the input variables (output classes, i.e., --- Kaon_Upstream_TMVA : signal and one background). --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : --- Performance optimisation: --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : Neural networks are stable and performing for a large variety of --- Kaon_Upstream_TMVA : linear and non-linear classification problems. However, in contrast --- Kaon_Upstream_TMVA : to (e.g.) boosted decision trees, the user is advised to reduce the --- Kaon_Upstream_TMVA : number of input variables that have only little discrimination power. --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : In the tests we have carried out so far, the MLP and ROOT networks --- Kaon_Upstream_TMVA : (TMlpANN, interfaced via TMVA) performed equally well, with however --- Kaon_Upstream_TMVA : a clear speed advantage for the MLP. The Clermont-Ferrand neural --- Kaon_Upstream_TMVA : net (CFMlpANN) exhibited worse classification performance in these --- Kaon_Upstream_TMVA : tests, which is partly due to the slow convergence of its training --- Kaon_Upstream_TMVA : (at least 10k training cycles are required to achieve approximately --- Kaon_Upstream_TMVA : competitive results). --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : Overtraining: only the TMlpANN performs an explicit separation of the --- Kaon_Upstream_TMVA : full training sample into independent training and validation samples. --- Kaon_Upstream_TMVA : We have found that in most high-energy physics applications the --- Kaon_Upstream_TMVA : avaliable degrees of freedom (training events) are sufficient to --- Kaon_Upstream_TMVA : constrain the weights of the relatively simple architectures required --- Kaon_Upstream_TMVA : to achieve good performance. Hence no overtraining should occur, and --- Kaon_Upstream_TMVA : the use of validation samples would only reduce the available training --- Kaon_Upstream_TMVA : information. However, if the perrormance on the training sample is --- Kaon_Upstream_TMVA : found to be significantly better than the one found with the inde- --- Kaon_Upstream_TMVA : pendent test sample, caution is needed. The results for these samples --- Kaon_Upstream_TMVA : are printed to standard output at the end of each training job. --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : --- Performance tuning via configuration options: --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : The hidden layer architecture for all ANNs is defined by the option --- Kaon_Upstream_TMVA : "HiddenLayers=N+1,N,...", where here the first hidden layer has N+1 --- Kaon_Upstream_TMVA : neurons and the second N neurons (and so on), and where N is the number --- Kaon_Upstream_TMVA : of input variables. Excessive numbers of hidden layers should be avoided, --- Kaon_Upstream_TMVA : in favour of more neurons in the first hidden layer. --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : The number of cycles should be above 500. As said, if the number of --- Kaon_Upstream_TMVA : adjustable weights is small compared to the training sample size, --- Kaon_Upstream_TMVA : using a large number of training samples should not lead to overtraining. --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : --- Kaon_Upstream_TMVA : ================================================================ --- Kaon_Upstream_TMVA : --- Norm : Preparing the transformation. --- TFHandler_Kaon_Upstrea...: ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Kaon_Upstrea...: Variable Mean RMS [ Min Max ] --- TFHandler_Kaon_Upstrea...: ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Kaon_Upstrea...: TrackP: -0.99729 0.018114 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: TrackPt: -0.99894 0.0075548 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: TrackChi2PerDof: -0.53436 0.27674 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: TrackNumDof: -0.53795 0.24982 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: TrackGhostProbability: -0.49303 0.55891 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: TrackFitVeloChi2: -0.83299 0.12351 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: TrackFitVeloNDoF: -0.57746 0.25259 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichUsedR1Gas: 0.67071 0.74172 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichAbovePiThres: -0.25136 0.96789 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichAboveKaThres: -0.81308 0.58215 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichAbovePrThres: -0.93169 0.36325 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichDLLe: 0.41044 0.62677 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichDLLmu: 0.49630 0.66439 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichDLLk: 0.46884 0.65232 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichDLLp: 0.48442 0.65924 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichDLLbt: 0.58472 0.70379 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: InAccBrem: 0.75627 0.65426 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: BremPIDe: 0.74794 0.65115 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: ---------------------------------------------------------------------------------------------------------------------------- --- Kaon_Upstream_TMVA : Begin training --- Kaon_Upstream_TMVA : Training Network --- Kaon_Upstream_TMVA : Inaccurate progress timing for MLP... --- Kaon_Upstream_TMVA : End of training --- Kaon_Upstream_TMVA : Elapsed time for training with 2319076 events: 2.33e+04 sec --- Kaon_Upstream_TMVA : Create MVA output for classification on training sample --- Kaon_Upstream_TMVA : Evaluation of Kaon_Upstream_TMVA on training sample (2319076 events) --- Kaon_Upstream_TMVA : Elapsed time for evaluation of 2319076 events: 11.6 sec --- Kaon_Upstream_TMVA : Creating weight file in xml format: ./GlobalPID_Kaon_Upstream_TMVA.weights.xml --- Kaon_Upstream_TMVA : Creating standalone response class: ./GlobalPID_Kaon_Upstream_TMVA.class.C --- Kaon_Upstream_TMVA : Write special histos to file: Upstream-Kaon-TMVA.root:/Method_MLP/Kaon_Upstream_TMVA --- Factory : Training finished --- Factory : --- Factory : Ranking input variables (method specific)... --- Kaon_Upstream_TMVA : Ranking result (top variable is best ranked) --- Kaon_Upstream_TMVA : ---------------------------------------------- --- Kaon_Upstream_TMVA : Rank : Variable : Importance --- Kaon_Upstream_TMVA : ---------------------------------------------- --- Kaon_Upstream_TMVA : 1 : RichDLLk : 1.956e+03 --- Kaon_Upstream_TMVA : 2 : TrackP : 1.158e+03 --- Kaon_Upstream_TMVA : 3 : RichDLLe : 1.077e+03 --- Kaon_Upstream_TMVA : 4 : RichDLLmu : 5.917e+02 --- Kaon_Upstream_TMVA : 5 : TrackPt : 3.549e+02 --- Kaon_Upstream_TMVA : 6 : RichDLLp : 3.096e+02 --- Kaon_Upstream_TMVA : 7 : RichDLLbt : 2.367e+02 --- Kaon_Upstream_TMVA : 8 : RichUsedR1Gas : 1.869e+02 --- Kaon_Upstream_TMVA : 9 : RichAbovePiThres : 1.848e+02 --- Kaon_Upstream_TMVA : 10 : RichAbovePrThres : 9.751e+01 --- Kaon_Upstream_TMVA : 11 : InAccBrem : 9.564e+01 --- Kaon_Upstream_TMVA : 12 : BremPIDe : 7.518e+01 --- Kaon_Upstream_TMVA : 13 : TrackNumDof : 3.712e+01 --- Kaon_Upstream_TMVA : 14 : TrackFitVeloNDoF : 3.563e+01 --- Kaon_Upstream_TMVA : 15 : RichAboveKaThres : 2.375e+01 --- Kaon_Upstream_TMVA : 16 : TrackFitVeloChi2 : 1.807e+01 --- Kaon_Upstream_TMVA : 17 : TrackGhostProbability : 5.369e+00 --- Kaon_Upstream_TMVA : 18 : TrackChi2PerDof : 3.649e+00 --- Kaon_Upstream_TMVA : ---------------------------------------------- --- Factory : --- Factory : === Destroy and recreate all methods via weight files for testing === --- Factory : --- MethodBase : Reading weight file: ./GlobalPID_Kaon_Upstream_TMVA.weights.xml --- Kaon_Upstream_TMVA : Read method "Kaon_Upstream_TMVA" of type "MLP" --- Kaon_Upstream_TMVA : MVA method was trained with TMVA Version: 4.2.0 --- Kaon_Upstream_TMVA : MVA method was trained with ROOT Version: 6.02/01 --- Kaon_Upstream_TMVA : Building Network --- Kaon_Upstream_TMVA : Initializing weights 2016-02-07 15:26:47 | Starting Testing... --- Factory : Test all methods... --- Factory : Test method: Kaon_Upstream_TMVA for Classification performance --- Kaon_Upstream_TMVA : Evaluation of Kaon_Upstream_TMVA on testing sample (992920 events) --- Kaon_Upstream_TMVA : Elapsed time for evaluation of 992920 events: 4.99 sec 2016-02-07 15:26:52 | Starting Evaluation... --- Factory : Evaluate all methods... --- Factory : Evaluate classifier: Kaon_Upstream_TMVA --- TFHandler_Kaon_Upstrea...: ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Kaon_Upstrea...: Variable Mean RMS [ Min Max ] --- TFHandler_Kaon_Upstrea...: ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Kaon_Upstrea...: TrackP: -0.99729 0.018259 [ -1.0000 0.99171 ] --- TFHandler_Kaon_Upstrea...: TrackPt: -0.99895 0.0074057 [ -1.0000 1.2670 ] --- TFHandler_Kaon_Upstrea...: TrackChi2PerDof: -0.53412 0.27675 [ -1.0005 0.99948 ] --- TFHandler_Kaon_Upstrea...: TrackNumDof: -0.53795 0.24978 [ -1.0000 0.91304 ] --- TFHandler_Kaon_Upstrea...: TrackGhostProbability: -0.49298 0.55848 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: TrackFitVeloChi2: -0.83297 0.12351 [ -1.0000 0.80395 ] --- TFHandler_Kaon_Upstrea...: TrackFitVeloNDoF: -0.57750 0.25253 [ -1.0000 0.90909 ] --- TFHandler_Kaon_Upstrea...: RichUsedR1Gas: 0.67080 0.74164 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichAbovePiThres: -0.25114 0.96795 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichAboveKaThres: -0.81333 0.58180 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichAbovePrThres: -0.93187 0.36278 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichDLLe: 0.41052 0.62670 [ -1.0000 0.96894 ] --- TFHandler_Kaon_Upstrea...: RichDLLmu: 0.49639 0.66432 [ -1.0000 1.0013 ] --- TFHandler_Kaon_Upstrea...: RichDLLk: 0.46893 0.65225 [ -1.0000 0.95152 ] --- TFHandler_Kaon_Upstrea...: RichDLLp: 0.48450 0.65917 [ -1.0000 0.95904 ] --- TFHandler_Kaon_Upstrea...: RichDLLbt: 0.58481 0.70372 [ -1.0000 0.99564 ] --- TFHandler_Kaon_Upstrea...: InAccBrem: 0.75592 0.65467 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: BremPIDe: 0.74758 0.65156 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: ---------------------------------------------------------------------------------------------------------------------------- --- Kaon_Upstream_TMVA : Loop over test events and fill histograms with classifier response... --- Factory : Write evaluation histograms to file --- TFHandler_Kaon_Upstrea...: Plot event variables for Kaon_Upstream_TMVA --- TFHandler_Kaon_Upstrea...: ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Kaon_Upstrea...: Variable Mean RMS [ Min Max ] --- TFHandler_Kaon_Upstrea...: ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Kaon_Upstrea...: TrackP: -0.99729 0.018259 [ -1.0000 0.99171 ] --- TFHandler_Kaon_Upstrea...: TrackPt: -0.99895 0.0074057 [ -1.0000 1.2670 ] --- TFHandler_Kaon_Upstrea...: TrackChi2PerDof: -0.53412 0.27675 [ -1.0005 0.99948 ] --- TFHandler_Kaon_Upstrea...: TrackNumDof: -0.53795 0.24978 [ -1.0000 0.91304 ] --- TFHandler_Kaon_Upstrea...: TrackGhostProbability: -0.49298 0.55848 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: TrackFitVeloChi2: -0.83297 0.12351 [ -1.0000 0.80395 ] --- TFHandler_Kaon_Upstrea...: TrackFitVeloNDoF: -0.57750 0.25253 [ -1.0000 0.90909 ] --- TFHandler_Kaon_Upstrea...: RichUsedR1Gas: 0.67080 0.74164 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichAbovePiThres: -0.25114 0.96795 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichAboveKaThres: -0.81333 0.58180 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichAbovePrThres: -0.93187 0.36278 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: RichDLLe: 0.41052 0.62670 [ -1.0000 0.96894 ] --- TFHandler_Kaon_Upstrea...: RichDLLmu: 0.49639 0.66432 [ -1.0000 1.0013 ] --- TFHandler_Kaon_Upstrea...: RichDLLk: 0.46893 0.65225 [ -1.0000 0.95152 ] --- TFHandler_Kaon_Upstrea...: RichDLLp: 0.48450 0.65917 [ -1.0000 0.95904 ] --- TFHandler_Kaon_Upstrea...: RichDLLbt: 0.58481 0.70372 [ -1.0000 0.99564 ] --- TFHandler_Kaon_Upstrea...: InAccBrem: 0.75592 0.65467 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: BremPIDe: 0.74758 0.65156 [ -1.0000 1.0000 ] --- TFHandler_Kaon_Upstrea...: ---------------------------------------------------------------------------------------------------------------------------- --- TFHandler_Kaon_Upstrea...: Create scatter and profile plots in target-file directory: --- TFHandler_Kaon_Upstrea...: Upstream-Kaon-TMVA.root:/Method_MLP/Kaon_Upstream_TMVA/CorrelationPlots --- Tools : zero variances for variables (0, 3) --- Tools : zero variances for variables (0, 5) --- Tools : zero variances for variables (0, 8) --- Tools : zero variances for variables (0, 9) --- Tools : zero variances for variables (0, 10) --- Tools : zero variances for variables (0, 11) --- Tools : zero variances for variables (0, 17) --- Tools : zero variances for variables (3, 0) --- Tools : zero variances for variables (3, 5) --- Tools : zero variances for variables (3, 8) --- Tools : zero variances for variables (3, 9) --- Tools : zero variances for variables (3, 10) --- Tools : zero variances for variables (3, 11) --- Tools : zero variances for variables (3, 17) --- Tools : zero variances for variables (4, 5) --- Tools : zero variances for variables (5, 0) --- Tools : zero variances for variables (5, 3) --- Tools : zero variances for variables (5, 4) --- Tools : zero variances for variables (5, 7) --- Tools : zero variances for variables (5, 8) --- Tools : zero variances for variables (5, 9) --- Tools : zero variances for variables (5, 10) --- Tools : zero variances for variables (5, 11) --- Tools : zero variances for variables (5, 17) --- Tools : zero variances for variables (7, 5) --- Tools : zero variances for variables (8, 0) --- Tools : zero variances for variables (8, 3) --- Tools : zero variances for variables (8, 5) --- Tools : zero variances for variables (8, 9) --- Tools : zero variances for variables (8, 10) --- Tools : zero variances for variables (8, 11) --- Tools : zero variances for variables (8, 17) --- Tools : zero variances for variables (9, 0) --- Tools : zero variances for variables (9, 3) --- Tools : zero variances for variables (9, 5) --- Tools : zero variances for variables (9, 8) --- Tools : zero variances for variables (9, 10) --- Tools : zero variances for variables (9, 11) --- Tools : zero variances for variables (9, 17) --- Tools : zero variances for variables (10, 0) --- Tools : zero variances for variables (10, 3) --- Tools : zero variances for variables (10, 5) --- Tools : zero variances for variables (10, 8) --- Tools : zero variances for variables (10, 9) --- Tools : zero variances for variables (10, 11) --- Tools : zero variances for variables (10, 17) --- Tools : zero variances for variables (11, 0) --- Tools : zero variances for variables (11, 3) --- Tools : zero variances for variables (11, 5) --- Tools : zero variances for variables (11, 8) --- Tools : zero variances for variables (11, 9) --- Tools : zero variances for variables (11, 10) --- Tools : zero variances for variables (11, 17) --- Tools : zero variances for variables (17, 0) --- Tools : zero variances for variables (17, 3) --- Tools : zero variances for variables (17, 5) --- Tools : zero variances for variables (17, 8) --- Tools : zero variances for variables (17, 9) --- Tools : zero variances for variables (17, 10) --- Tools : zero variances for variables (17, 11) --- Tools : zero variances for variables (0, 3) --- Tools : zero variances for variables (0, 5) --- Tools : zero variances for variables (0, 8) --- Tools : zero variances for variables (0, 9) --- Tools : zero variances for variables (0, 10) --- Tools : zero variances for variables (0, 11) --- Tools : zero variances for variables (0, 17) --- Tools : zero variances for variables (3, 0) --- Tools : zero variances for variables (3, 5) --- Tools : zero variances for variables (3, 10) --- Tools : zero variances for variables (3, 11) --- Tools : zero variances for variables (3, 17) --- Tools : zero variances for variables (5, 0) --- Tools : zero variances for variables (5, 3) --- Tools : zero variances for variables (5, 8) --- Tools : zero variances for variables (5, 9) --- Tools : zero variances for variables (5, 10) --- Tools : zero variances for variables (5, 11) --- Tools : zero variances for variables (5, 17) --- Tools : zero variances for variables (8, 0) --- Tools : zero variances for variables (8, 5) --- Tools : zero variances for variables (8, 9) --- Tools : zero variances for variables (8, 10) --- Tools : zero variances for variables (8, 11) --- Tools : zero variances for variables (8, 17) --- Tools : zero variances for variables (9, 0) --- Tools : zero variances for variables (9, 5) --- Tools : zero variances for variables (9, 8) --- Tools : zero variances for variables (9, 10) --- Tools : zero variances for variables (9, 11) --- Tools : zero variances for variables (9, 17) --- Tools : zero variances for variables (10, 0) --- Tools : zero variances for variables (10, 3) --- Tools : zero variances for variables (10, 5) --- Tools : zero variances for variables (10, 8) --- Tools : zero variances for variables (10, 9) --- Tools : zero variances for variables (10, 11) --- Tools : zero variances for variables (10, 17) --- Tools : zero variances for variables (11, 0) --- Tools : zero variances for variables (11, 3) --- Tools : zero variances for variables (11, 5) --- Tools : zero variances for variables (11, 8) --- Tools : zero variances for variables (11, 9) --- Tools : zero variances for variables (11, 10) --- Tools : zero variances for variables (11, 17) --- Tools : zero variances for variables (17, 0) --- Tools : zero variances for variables (17, 3) --- Tools : zero variances for variables (17, 5) --- Tools : zero variances for variables (17, 8) --- Tools : zero variances for variables (17, 9) --- Tools : zero variances for variables (17, 10) --- Tools : zero variances for variables (17, 11) --- Factory : Correlations between input variables and MVA response (signal): --- Factory : -------------------------------------- --- Factory : Kaon_Upstream_TMVA --- Factory : TrackP: +0.015 --- Factory : TrackPt: +0.091 --- Factory : TrackChi2PerDof: +0.000 --- Factory : TrackNumDof: +0.273 --- Factory : TrackGhostProbability: +0.000 --- Factory : TrackFitVeloChi2: +0.187 --- Factory : TrackFitVeloNDoF: +0.231 --- Factory : RichUsedR1Gas: +0.000 --- Factory : RichAbovePiThres: +0.000 --- Factory : RichAboveKaThres: +0.000 --- Factory : RichAbovePrThres: +0.000 --- Factory : RichDLLe: +0.229 --- Factory : RichDLLmu: +0.215 --- Factory : RichDLLk: +0.242 --- Factory : RichDLLp: +0.238 --- Factory : RichDLLbt: +0.238 --- Factory : InAccBrem: +0.000 --- Factory : BremPIDe: +0.168 --- Factory : -------------------------------------- --- Factory : --- Factory : Correlations between input variables and MVA response (background): --- Factory : -------------------------------------- --- Factory : Kaon_Upstream_TMVA --- Factory : TrackP: +0.054 --- Factory : TrackPt: +0.047 --- Factory : TrackChi2PerDof: +0.000 --- Factory : TrackNumDof: +0.132 --- Factory : TrackGhostProbability: +0.000 --- Factory : TrackFitVeloChi2: +0.095 --- Factory : TrackFitVeloNDoF: +0.073 --- Factory : RichUsedR1Gas: +0.000 --- Factory : RichAbovePiThres: +0.000 --- Factory : RichAboveKaThres: +0.000 --- Factory : RichAbovePrThres: +0.000 --- Factory : RichDLLe: +0.135 --- Factory : RichDLLmu: +0.135 --- Factory : RichDLLk: +0.149 --- Factory : RichDLLp: +0.149 --- Factory : RichDLLbt: +0.148 --- Factory : InAccBrem: +0.000 --- Factory : BremPIDe: -0.045 --- Factory : -------------------------------------- --- Factory : --- Factory : The following "overlap" matrices contain the fraction of events for which --- Factory : the MVAs 'i' and 'j' have returned conform answers about "signal-likeness" --- Factory : An event is signal-like, if its MVA output exceeds the following value: --- Factory : --------------------------------------- --- Factory : Method: Cut value: --- Factory : --------------------------------------- --- Factory : Kaon_Upstream_TMVA: +0.092 --- Factory : --------------------------------------- --- Factory : which correspond to the working point: eff(signal) = 1 - eff(background) --- Factory : --- Factory : Evaluation results ranked by best signal efficiency and purity (area) --- Factory : -------------------------------------------------------------------------------- --- Factory : MVA Signal efficiency at bkg eff.(error): | Sepa- Signifi- --- Factory : Method: @B=0.01 @B=0.10 @B=0.30 ROC-integ. | ration: cance: --- Factory : -------------------------------------------------------------------------------- --- Factory : Kaon_Upstream_TMVA: 0.136(01) 0.423(01) 0.675(01) 0.766 | 0.215 0.632 --- Factory : -------------------------------------------------------------------------------- --- Factory : --- Factory : Testing efficiency compared to training efficiency (overtraining check) --- Factory : -------------------------------------------------------------------------------- --- Factory : MVA Signal efficiency: from test sample (from training sample) --- Factory : Method: @B=0.01 @B=0.10 @B=0.30 --- Factory : -------------------------------------------------------------------------------- --- Factory : Kaon_Upstream_TMVA: 0.136 (0.136) 0.423 (0.423) 0.675 (0.674) --- Factory : -------------------------------------------------------------------------------- --- Factory : --- Dataset:Default : Created tree 'TestTree' with 992920 events --- Dataset:Default : Created tree 'TrainTree' with 2319076 events --- Factory : --- Factory : Thank you for using TMVA! --- Factory : For citation information, please visit: http://tmva.sf.net/citeTMVA.html 2016-02-07 15:31:19 | ... Complete :) 2016-02-07 15:31:19 | Finished... 2016-02-07 15:31:24 | Cache directory = '/var/work/jonesc/ANNPID-DataCache' Warning in : class pair found in libEventPackerDict.so is already in libPhysEventDict.so 2016-02-07 15:31:28 | Network Config file = /usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/results/MC2015Sim09Dev03/TrainMixture/TrainPhysTks-EvalPhysTks-NoReweight/GhostAccFrac1.0/ProtonAccFrac1.0/KaonAccFrac1.0/TMVA-Run2-NoTkLikCDVelodEdx/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/CVTest15/CVImp1e-16/NotUseRegulator/Kaon/Upstream/GlobalPID_Kaon_Upstream_ANN.txt 2016-02-07 15:31:28 | Training parameters file = /usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/results/MC2015Sim09Dev03/TrainMixture/TrainPhysTks-EvalPhysTks-NoReweight/GhostAccFrac1.0/ProtonAccFrac1.0/KaonAccFrac1.0/TMVA-Run2-NoTkLikCDVelodEdx/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/CVTest15/CVImp1e-16/NotUseRegulator/Kaon/Upstream/train-config.txt 2016-02-07 15:31:28 | Particle type = Kaon 2016-02-07 15:31:28 | Background types = All 2016-02-07 15:31:28 | Training Mix = NaturalMix 2016-02-07 15:31:28 | Track type = Upstream 2016-02-07 15:31:28 | Track PresSel = NoTrackPreSelection.txt 2016-02-07 15:31:28 | Network type = TMVA 2016-02-07 15:31:28 | Ghost treatment = Ghosts Ghosts 2016-02-07 15:31:28 | MC Track sel. = AllPhysTracksInEvent.txt AllPhysTracksInEvent.txt 2016-02-07 15:31:28 | Reweighting = NoReweight 2016-02-07 15:31:28 | Output file = GlobalPID_Kaon_Upstream_TMVA.weights.xml 2016-02-07 15:31:28 | Skipping input #TrackCloneDist 2016-02-07 15:31:28 | Skipping input #RichUsedR2Gas 2016-02-07 15:31:28 | Skipping input #RichAboveElThres 2016-02-07 15:31:28 | Skipping input #RichAboveMuThres 2016-02-07 15:31:28 | Creating selection from 'NoTrackPreSelection.txt' 2016-02-07 15:31:28 | -> # very very loose. Essentially no cuts 2016-02-07 15:31:28 | -> TrackP > 0 2016-02-07 15:31:28 | -> TrackPt > 0 2016-02-07 15:31:28 | Creating selection from 'AllPhysTracksInEvent.txt' 2016-02-07 15:31:28 | -> !HasMC || MCVertexType==1 || MCVertexType==2 2016-02-07 15:31:28 | Training sample size = 1800000 2016-02-07 15:31:28 | Evaluation sample size = 10000000 2016-02-07 15:31:28 | Reading Parameters file = /usera/jonesc/cmtuser/DaVinci_v36r2/Rec/ChargedProtoANNPIDTeacher/training/results/MC2015Sim09Dev03/TrainMixture/TrainPhysTks-EvalPhysTks-NoReweight/GhostAccFrac1.0/ProtonAccFrac1.0/KaonAccFrac1.0/TMVA-Run2-NoTkLikCDVelodEdx/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/CVTest15/CVImp1e-16/NotUseRegulator/Kaon/Upstream/MVA.txt 2016-02-07 15:31:28 | -> NBTASK = CLA 2016-02-07 15:31:28 | -> NBMOM = 0.0 2016-02-07 15:31:28 | -> NBREG = ALL 2016-02-07 15:31:28 | -> TMVAVALIDATIONFRAC = 0.3 2016-02-07 15:31:28 | -> TMVATESTFRAC = 0.3 2016-02-07 15:31:28 | -> HiddenLayerScaleFactor = 1.4 2016-02-07 15:31:28 | -> GhostAcceptFraction = 1.0 2016-02-07 15:31:28 | -> KaonAcceptFraction = 1.0 2016-02-07 15:31:28 | -> ProtonAcceptFraction = 1.0 2016-02-07 15:31:28 | -> ReuseTrainingFiles = 0 2016-02-07 15:31:28 | -> TrainingYear = MC2015Sim09Dev03 2016-02-07 15:31:28 | -> TMVAMETHOD = MLP 2016-02-07 15:31:28 | -> TMVAUSEREGULATOR = false 2016-02-07 15:31:28 | -> TMVAMLPNCYCLES = 750 2016-02-07 15:31:28 | -> TMVAVARTRANSFORM = Norm 2016-02-07 15:31:28 | -> TMVAMLPNEURONTYPE = tanh 2016-02-07 15:31:28 | -> TMVAMLPMETHOD = BP 2016-02-07 15:31:28 | -> TMVAMLPESTIMATORTYPE = CE 2016-02-07 15:31:28 | -> TMVAMLPCONVIMPROVE = 1e-16 2016-02-07 15:31:28 | -> TMVAMLPCONVTEST = 15 2016-02-07 15:31:28 | -> TMVABDTBOOSTTYPE = AdaBoost 2016-02-07 15:31:28 | -> TMVABDTNTREES = 800 2016-02-07 15:31:28 | -> TMVABDTPRUNEMETHOD = CostComplexity 2016-02-07 15:31:28 | -> TMVABDTMAXTREEDEPTH = 3 2016-02-07 15:31:28 | Reading Parameters file = Eval.txt 2016-02-07 15:31:28 | -> EVALMODE = EvalWithPreSel 2016-02-07 15:31:28 | -> EVALDATA = Mixture 2016-02-07 15:31:28 | -> EVALYEAR = MC2015Sim09Dev03 2016-02-07 15:31:28 | Node layer two scale = 1.4 2016-02-07 15:31:28 | Input layer has 19 nodes, hidden layer has 25 nodes 2016-02-07 15:31:28 | Ghost Accept Fraction = 1 2016-02-07 15:31:28 | Proton Accept Fraction = 1 2016-02-07 15:31:28 | Kaon Accept Fraction = 1 2016-02-07 15:31:28 | Training data year = MC2015Sim09Dev03 2016-02-07 15:31:28 | Evaluation data year = MC2015Sim09Dev03 2016-02-07 15:31:28 | Input Data file = TrainingFiles-Mixture.txt 2016-02-07 15:31:28 | Using 552 data files 2016-02-07 15:31:28 | Training Datafile Selection hash = 11409586698025869281 2016-02-07 15:31:28 | Using training file (1/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.1.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:31:28 | -> Pre-selected 124162 entries from 124162 ( 100 % ) 2016-02-07 15:31:30 | -> Selected 124162 entries ( 100 % ). Overall 98363 ( 5.46461 % ) of required 1800000 entries. 2016-02-07 15:31:30 | Using training file (2/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.2.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:31:30 | -> Pre-selected 135973 entries from 135973 ( 100 % ) 2016-02-07 15:31:32 | -> Selected 135973 entries ( 100 % ). Overall 203799 ( 11.3222 % ) of required 1800000 entries. 2016-02-07 15:31:32 | Using training file (3/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.3.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:31:33 | -> Pre-selected 687186 entries from 687186 ( 100 % ) 2016-02-07 15:31:45 | -> Selected 687186 entries ( 100 % ). Overall 736603 ( 40.9224 % ) of required 1800000 entries. 2016-02-07 15:31:45 | Using training file (4/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.4.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:31:46 | -> Pre-selected 653314 entries from 653314 ( 100 % ) 2016-02-07 15:31:57 | -> Selected 653314 entries ( 100 % ). Overall 1243482 ( 69.0823 % ) of required 1800000 entries. 2016-02-07 15:31:57 | Using training file (5/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.5.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:31:57 | -> Pre-selected 645930 entries from 645930 ( 100 % ) 2016-02-07 15:32:08 | -> Selected 645930 entries ( 100 % ). Overall 1746172 ( 97.0096 % ) of required 1800000 entries. 2016-02-07 15:32:09 | Using training file (6/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.6.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:32:09 | -> Pre-selected 650774 entries from 650774 ( 100 % ) 2016-02-07 15:32:12 | -> Selected 69498 entries ( 10.6793 % ). Overall 1800000 ( 100 % ) of required 1800000 entries. 2016-02-07 15:32:12 | Considered 2316063 tracks for input to MVA training 2016-02-07 15:32:12 | Sel. Eff. = 100% 2016-02-07 15:32:12 | Selected 2316063/0 tracks for input to MVA training/testing 2016-02-07 15:32:12 | Ghost percentage = 28.6702% 2016-02-07 15:32:12 | Electron percentage = 0.990389% 2016-02-07 15:32:12 | Muon percentage = 0.805% 2016-02-07 15:32:12 | Pion percentage = 78.8886% 2016-02-07 15:32:12 | Kaon percentage = 13.0899% 2016-02-07 15:32:12 | Unknown Particle type 411 2016-02-07 15:32:12 | percentage = 0.000111111% 2016-02-07 15:32:12 | Proton percentage = 5.94733% 2016-02-07 15:32:12 | Unknown Particle type 3112 2016-02-07 15:32:12 | percentage = 0.122667% 2016-02-07 15:32:12 | Unknown Particle type 3222 2016-02-07 15:32:12 | percentage = 0.105611% 2016-02-07 15:32:12 | Unknown Particle type 3312 2016-02-07 15:32:12 | percentage = 0.0492778% 2016-02-07 15:32:12 | Unknown Particle type 3334 2016-02-07 15:32:12 | percentage = 0.00111111% 2016-02-07 15:32:12 | Unknown Particle type 4122 2016-02-07 15:32:12 | percentage = 5.55556e-05% 2016-02-07 15:32:12 | Created Plots directory Upstream-Kaon-evaluation.root:/TrainMixture/EvalMC2015Sim09Dev03Mixture/EvalWithPreSel 2016-02-07 15:32:12 | Making plots for input BremPIDe 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.0100 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.0250 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.0500 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.0750 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.1000 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.1250 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.1500 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.1750 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.2000 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.3000 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.3500 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.4000 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.4500 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.5000 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.6000 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.7000 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.8000 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.9000 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.9500 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.9750 2016-02-07 15:32:12 | Creating ROOT directory MVAcut0.9900 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-8.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-7.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-6.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-5.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-5.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-4.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-4.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-3.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-3.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-2.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-2.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-1.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-1.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut-0.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut0.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut0.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut1.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut1.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut2.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut2.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut3.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut3.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut4.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut4.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut5.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut5.5000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut6.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut7.0000 2016-02-07 15:32:12 | Creating ROOT directory DLLcut8.0000 2016-02-07 15:32:12 | Making plots for input InAccBrem 2016-02-07 15:32:12 | Making plots for input RichAboveKaThres 2016-02-07 15:32:12 | Making plots for input RichAbovePiThres 2016-02-07 15:32:12 | Making plots for input RichAbovePrThres 2016-02-07 15:32:12 | Making plots for input RichDLLbt 2016-02-07 15:32:12 | Making plots for input RichDLLe 2016-02-07 15:32:12 | Making plots for input RichDLLk 2016-02-07 15:32:12 | Making plots for input RichDLLmu 2016-02-07 15:32:12 | Making plots for input RichDLLp 2016-02-07 15:32:12 | Making plots for input RichUsedR1Gas 2016-02-07 15:32:12 | Making plots for input TrackChi2PerDof 2016-02-07 15:32:12 | Making plots for input TrackFitVeloChi2 2016-02-07 15:32:12 | Making plots for input TrackFitVeloNDoF 2016-02-07 15:32:12 | Making plots for input TrackGhostProbability 2016-02-07 15:32:12 | Making plots for input TrackLikelihood 2016-02-07 15:32:12 | Making plots for input TrackNumDof 2016-02-07 15:32:12 | Making plots for input TrackP 2016-02-07 15:32:12 | Making plots for input TrackPt --- Reader : Booking "MLP" of type "MLP" from GlobalPID_Kaon_Upstream_TMVA.weights.xml. --- MethodBase : Reading weight file: GlobalPID_Kaon_Upstream_TMVA.weights.xml --- Kaon_Upstream_TMVA : Read method "Kaon_Upstream_TMVA" of type "MLP" --- Kaon_Upstream_TMVA : MVA method was trained with TMVA Version: 4.2.0 --- Kaon_Upstream_TMVA : MVA method was trained with ROOT Version: 6.02/01 --- DataSetInfo : Added class "Background" with internal class number 0 --- DataSetInfo : Added class "Signal" with internal class number 1 --- Kaon_Upstream_TMVA : Building Network --- Kaon_Upstream_TMVA : Initializing weights --- Reader : Booked classifier "Kaon_Upstream_TMVA" of type: "MLP" 2016-02-07 15:32:12 | Creating selection from 'AllPhysTracksInEvent.txt' 2016-02-07 15:32:12 | -> !HasMC || MCVertexType==1 || MCVertexType==2 2016-02-07 15:32:12 | Evaluation mode 'EvalWithPreSel' 2016-02-07 15:32:12 | Will apply all track pre-selections during evaluation 2016-02-07 15:32:12 | Evaluation Datafile Selection hash = 11409586698025869281 2016-02-07 15:32:12 | Using evaluation file (7/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.7.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:32:13 | -> Pre-selected 679639 entries from 679639 ( 100 % ) 2016-02-07 15:34:11 | -> Selected 679639 entries ( 100 % ). Overall 679639 ( 6.79639 % ) of required 10000000 entries. 2016-02-07 15:34:11 | Using evaluation file (8/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.8.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:34:12 | -> Pre-selected 663439 entries from 663439 ( 100 % ) 2016-02-07 15:36:05 | -> Selected 663439 entries ( 100 % ). Overall 1343078 ( 13.4308 % ) of required 10000000 entries. 2016-02-07 15:36:05 | Using evaluation file (9/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.9.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:36:06 | -> Pre-selected 682146 entries from 682146 ( 100 % ) 2016-02-07 15:38:02 | -> Selected 682146 entries ( 100 % ). Overall 2025224 ( 20.2522 % ) of required 10000000 entries. 2016-02-07 15:38:02 | Using evaluation file (10/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.10.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:38:03 | -> Pre-selected 653904 entries from 653904 ( 100 % ) 2016-02-07 15:39:55 | -> Selected 653904 entries ( 100 % ). Overall 2679128 ( 26.7913 % ) of required 10000000 entries. 2016-02-07 15:39:55 | Using evaluation file (11/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.11.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:39:56 | -> Pre-selected 667085 entries from 667085 ( 100 % ) 2016-02-07 15:41:49 | -> Selected 667085 entries ( 100 % ). Overall 3346213 ( 33.4621 % ) of required 10000000 entries. 2016-02-07 15:41:49 | Using evaluation file (12/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.12.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:41:50 | -> Pre-selected 660336 entries from 660336 ( 100 % ) 2016-02-07 15:43:43 | -> Selected 660336 entries ( 100 % ). Overall 4006549 ( 40.0655 % ) of required 10000000 entries. 2016-02-07 15:43:43 | Using evaluation file (13/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.13.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:43:43 | -> Pre-selected 652593 entries from 652593 ( 100 % ) 2016-02-07 15:45:36 | -> Selected 652593 entries ( 100 % ). Overall 4659142 ( 46.5914 % ) of required 10000000 entries. 2016-02-07 15:45:36 | Using evaluation file (14/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.14.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:45:36 | -> Pre-selected 677469 entries from 677469 ( 100 % ) 2016-02-07 15:47:33 | -> Selected 677469 entries ( 100 % ). Overall 5336611 ( 53.3661 % ) of required 10000000 entries. 2016-02-07 15:47:33 | Using evaluation file (15/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.15.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:47:33 | -> Pre-selected 553782 entries from 553782 ( 100 % ) 2016-02-07 15:48:59 | -> Selected 553782 entries ( 100 % ). Overall 5890393 ( 58.9039 % ) of required 10000000 entries. 2016-02-07 15:48:59 | Using evaluation file (16/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.16.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:49:00 | -> Pre-selected 655648 entries from 655648 ( 100 % ) 2016-02-07 15:50:41 | -> Selected 655648 entries ( 100 % ). Overall 6546041 ( 65.4604 % ) of required 10000000 entries. 2016-02-07 15:50:41 | Using evaluation file (17/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.17.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:50:41 | -> Pre-selected 678214 entries from 678214 ( 100 % ) 2016-02-07 15:52:25 | -> Selected 678214 entries ( 100 % ). Overall 7224255 ( 72.2425 % ) of required 10000000 entries. 2016-02-07 15:52:25 | Using evaluation file (18/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.18.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:52:25 | -> Pre-selected 390074 entries from 390074 ( 100 % ) 2016-02-07 15:53:25 | -> Selected 390074 entries ( 100 % ). Overall 7614329 ( 76.1433 % ) of required 10000000 entries. 2016-02-07 15:53:25 | Using evaluation file (19/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.19.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:53:26 | -> Pre-selected 674602 entries from 674602 ( 100 % ) 2016-02-07 15:55:09 | -> Selected 674602 entries ( 100 % ). Overall 8288931 ( 82.8893 % ) of required 10000000 entries. 2016-02-07 15:55:09 | Using evaluation file (20/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.20.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:55:10 | -> Pre-selected 678073 entries from 678073 ( 100 % ) 2016-02-07 15:56:53 | -> Selected 678073 entries ( 100 % ). Overall 8967004 ( 89.67 % ) of required 10000000 entries. 2016-02-07 15:56:53 | Using evaluation file (21/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.21.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:56:54 | -> Pre-selected 680463 entries from 680463 ( 100 % ) 2016-02-07 15:58:37 | -> Selected 680463 entries ( 100 % ). Overall 9647467 ( 96.4747 % ) of required 10000000 entries. 2016-02-07 15:58:37 | Using evaluation file (22/552) /var/work/jonesc/ANNPID-DataCache/r02/lhcb/jonesc/ANNPID/ProtoParticlePIDtuples/MC/Sim09Devx/Reco15x/Dev03/ANNPID.22.root.11409586698025869281 Tuple=ANNPID/DecayTree 2016-02-07 15:58:37 | -> Pre-selected 629146 entries from 629146 ( 100 % ) 2016-02-07 15:59:31 | -> Selected 352533 entries ( 56.0336 % ). Overall 10000000 ( 100 % ) of required 10000000 entries. 2016-02-07 15:59:31 | Considered 10000000 tracks for input to MVA evaluation 2016-02-07 15:59:31 | Sel. Eff. = 100% 2016-02-07 15:59:31 | Selected 10000000 tracks for input to MVA evaluation 2016-02-07 15:59:31 | Ghost percentage = 22.5781% 2016-02-07 15:59:31 | Electron percentage = 0.82818% 2016-02-07 15:59:31 | Muon percentage = 0.50157% 2016-02-07 15:59:31 | Pion percentage = 61.4444% 2016-02-07 15:59:31 | Kaon percentage = 9.8393% 2016-02-07 15:59:31 | Unknown Particle type 411 2016-02-07 15:59:31 | percentage = 5e-05% 2016-02-07 15:59:31 | Unknown Particle type 521 2016-02-07 15:59:31 | percentage = 3e-05% 2016-02-07 15:59:31 | Proton percentage = 4.59251% 2016-02-07 15:59:31 | Unknown Particle type 3112 2016-02-07 15:59:31 | percentage = 0.09268% 2016-02-07 15:59:31 | Unknown Particle type 3222 2016-02-07 15:59:31 | percentage = 0.08213% 2016-02-07 15:59:31 | Unknown Particle type 3312 2016-02-07 15:59:31 | percentage = 0.04021% 2016-02-07 15:59:31 | Unknown Particle type 3334 2016-02-07 15:59:31 | percentage = 0.00078% 2016-02-07 15:59:31 | Unknown Particle type 4122 2016-02-07 15:59:31 | percentage = 1e-05% 2016-02-07 15:59:31 | Making Input Variable plots 2016-02-07 15:59:37 | Making MVA V Input Variable plots 2016-02-07 15:59:40 | Making DLL V Input Variable plots 2016-02-07 15:59:43 | Making purity plots 2016-02-07 15:59:43 | Making MVA Output plots 2016-02-07 15:59:43 | Making DLL Output plots 2016-02-07 15:59:44 | Making MVA DLL Correlation plots 2016-02-07 15:59:44 | Making MVA V P eff plots 2016-02-07 15:59:52 | Making DLL V P eff plots 2016-02-07 16:00:05 | Making MVA eff. V DLL cut plots 2016-02-07 16:00:11 | Making DLL eff. V MVA cut plots 2016-02-07 16:00:15 | Making final performance plots ... 2016-02-07 16:00:15 | Creating Eff V Purity text file : text/MC2015Sim09Dev03-Mixture/EvalWithPreSel/UpstreamKaonEffVPurity-TMVA-Run2-NoTkLikCDVelodEdx-AllPhysTracksInEvent-AllPhysTracksInEvent-NoReweight-GhF1-TrainMixtureGhosts-EvalMC2015Sim09Dev03MixtureGhosts-EvalWithPreSel-MLP-Norm-BP-NCycles750-CE-tanh-SF1.4-CVTest151e-16-!UseReg.txt 2016-02-07 16:00:15 | Creating Eff V OverallMisID text file : text/MC2015Sim09Dev03-Mixture/EvalWithPreSel/UpstreamKaonEffVOverallMisID-TMVA-Run2-NoTkLikCDVelodEdx-AllPhysTracksInEvent-AllPhysTracksInEvent-NoReweight-GhF1-TrainMixtureGhosts-EvalMC2015Sim09Dev03MixtureGhosts-EvalWithPreSel-MLP-Norm-BP-NCycles750-CE-tanh-SF1.4-CVTest151e-16-!UseReg.txt 2016-02-07 16:00:16 | Creating Eff V Electron MisID text file : text/MC2015Sim09Dev03-Mixture/EvalWithPreSel/UpstreamKaonEffVElectronMisID-TMVA-Run2-NoTkLikCDVelodEdx-AllPhysTracksInEvent-AllPhysTracksInEvent-NoReweight-GhF1-TrainMixtureGhosts-EvalMC2015Sim09Dev03MixtureGhosts-EvalWithPreSel-MLP-Norm-BP-NCycles750-CE-tanh-SF1.4-CVTest151e-16-!UseReg.txt 2016-02-07 16:00:16 | Creating Eff V Ghost MisID text file : text/MC2015Sim09Dev03-Mixture/EvalWithPreSel/UpstreamKaonEffVGhostMisID-TMVA-Run2-NoTkLikCDVelodEdx-AllPhysTracksInEvent-AllPhysTracksInEvent-NoReweight-GhF1-TrainMixtureGhosts-EvalMC2015Sim09Dev03MixtureGhosts-EvalWithPreSel-MLP-Norm-BP-NCycles750-CE-tanh-SF1.4-CVTest151e-16-!UseReg.txt 2016-02-07 16:00:16 | Creating Eff V Muon MisID text file : text/MC2015Sim09Dev03-Mixture/EvalWithPreSel/UpstreamKaonEffVMuonMisID-TMVA-Run2-NoTkLikCDVelodEdx-AllPhysTracksInEvent-AllPhysTracksInEvent-NoReweight-GhF1-TrainMixtureGhosts-EvalMC2015Sim09Dev03MixtureGhosts-EvalWithPreSel-MLP-Norm-BP-NCycles750-CE-tanh-SF1.4-CVTest151e-16-!UseReg.txt 2016-02-07 16:00:16 | Creating Eff V Pion MisID text file : text/MC2015Sim09Dev03-Mixture/EvalWithPreSel/UpstreamKaonEffVPionMisID-TMVA-Run2-NoTkLikCDVelodEdx-AllPhysTracksInEvent-AllPhysTracksInEvent-NoReweight-GhF1-TrainMixtureGhosts-EvalMC2015Sim09Dev03MixtureGhosts-EvalWithPreSel-MLP-Norm-BP-NCycles750-CE-tanh-SF1.4-CVTest151e-16-!UseReg.txt 2016-02-07 16:00:16 | Creating Eff V Proton MisID text file : text/MC2015Sim09Dev03-Mixture/EvalWithPreSel/UpstreamKaonEffVProtonMisID-TMVA-Run2-NoTkLikCDVelodEdx-AllPhysTracksInEvent-AllPhysTracksInEvent-NoReweight-GhF1-TrainMixtureGhosts-EvalMC2015Sim09Dev03MixtureGhosts-EvalWithPreSel-MLP-Norm-BP-NCycles750-CE-tanh-SF1.4-CVTest151e-16-!UseReg.txt 2016-02-07 16:00:16 | Closing Upstream-Kaon-evaluation.root 2016-02-07 16:00:40 | Finished... removed `train-config.txt' removed `MVA.txt' removed `ProtoPIDTeacher.exe' removed `EVALUATION-RUNNING' removed `MC2015Sim09Dev03-EvalFiles-Mixture.txt' removed `TrainingFiles-Mixture.txt' Scientific Linux CERN SLC release 6.7 (Carbon) Sun Feb 7 16:00:43 GMT 2016