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Neural Network Work Plan for Next 3 Months

This work plan outlines techniques and problems addressed using neural networks, adaptive mixtures, support vector machines, and more for classification and parameter estimation in benchmark analyses.

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Neural Network Work Plan for Next 3 Months

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  1. Nov. 8, 2001 Run2AAG Work-Plan for next 3 months • Techniques to work on: • Neural Networks • Marcin, Tony • Adaptive Mixtures • Pushpa, Harrison • Support Vector Machines • Daniel W, Tony • Independent Component Analysis • Dan R, Marcin, .. • Self-Organizing Maps • Antonio, Mcihael Arov, Pushpa,

  2. Plan (cont’d) • Problems to be addressed: • Classification Examples: • Signal/Background Discrimination • Flavor-tagging of jets • Parameter Estimation Examples: • Top mass in dilepton channel • Jet energy correction

  3. Plan (cont’d) • Bench-mark Analyses: • Top • ttbar  e  +jets Backgrounds: WW, Z   • Higgs • WH: M = 110 – 140 GeV Backgrounds: Wbb, ttbar • ttH: M = 110 – 140 GeV Backgrounds: ttjj • Z  bb Background: QCD di-jets (improving Z mass resolution)

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