Separating True V0's from Combinatoric Background with a Neural Network

Physics – Nuclear Physics – Nuclear Experiment

Scientific paper

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9 pages LaTeX using elsart.sty and psfig, 5 ps figures. Submitted to NIM

Scientific paper

10.1016/S0168-9002(97)00995-9

A feedforward multilayered neural network has been trained to "recognize" true V0's in the presence of a large combinatoric background using simulated data for 2 GeV/nucleon Ni + Cu interactions. The resulting neural network filter has been applied to actual data from the EOS TPC experiment. An enhancement of signal to background over more traditional selection mechanisms has been observed.

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