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Key Plots for Talks


Limits

Selected Neural Network Output Plots

Neural Network Jet Energy Corrections

Jet Flavor Separation with a Neural Network

Selected Matrix Element Probabilities




Expected And Observed 95% CL Upper Limits

For MH = 115 GeV/c2 we set Expected (Observed) Limits

of 6.8 (5.9) X Standard Model Prediction


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The Following are Selected NN Output Distributions.

They Show the Projection of Two Dimensional NN Outputs

with a Cut on (NNy<0.1) to Highlight the Signal Region


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Projected Output of 2D NN with NN_Out(y) < 0.1
Events Contain 2 Tight SecVtx b-tagged jets and pass high S/B Z Selection.
Projected Output of 2D NN with NN_Out(y) < 0.1
Events Contain 1 Loose SecVtx and one JetProbability b-tagged jet and pass high S/B Z Selection.
Projected Output of 2D NN with NN_Out(y) < 0.1
Events Contain 1 Tight SecVtx b-tagged jets and pass high S/B Z Selection.



Effect on Neural Network Jet Energy Corrections on Selected DiJet Mass Distributions




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Dijet Mass for pretag events, showing the effect of NN jet energy corrections on signal. Dijet Mass showing the effect of NN jet energy corrections on signal.
Events Contain 2 Tight SecVtx b-tagged jets.



Application of Flavor Separating NN To Single b-tag Tag Samples


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Selected Matrix Element Probabilities




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