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Searching the Higgs with the Neurochip TOTEM
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classification
hep-exhep-phphysics.ins-det
keywords
higgsneurochiptotemalgorithmassumingbackgroundcaseclassifiers
abstract
We show that neural network classifiers can be helpful in discriminating Higgs production events from the huge background at LHC, assuming the case of a mass value $M_H \sim 200$ GeV. We use the high performance neurochip TOTEM, trained by the Reactive Tabu Search algorithm (RTS), which could be used for on-line purposes. Two different sets of input variables are compared.
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