Signal Confidence Limits from a Neural Network Data Analysis

Details Signal Confidence Limits from a Neural Network Data Analysis Signal Confidence Limits from a Neural Network Data Analysis

1997-03-01

arxiv.org/abs/hep-ex/9703001v2

Comput.Phys.Commun. 107 (1997) 39-48

Physics

High Energy Physics

High Energy Physics - Experiment

17 pages, 10 eps figures, LaTeX, major revisions due to referee Report

Scientific paper

10.1016/S0010-4655(97)00111-2

This paper deals with a situation of some importance for the analysis of experimental data via Neural Network (NN) or similar devices: Let $N$ data be given, such that $N=N_s+N_b$, where $N_s$ is the number of signals, $N_b$ the number of background events, both unknown. Assume that a NN has been trained, such that it will tag signals with efficiency $F_s$, $(0

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