The Artificial Neural Networks as a tool for analysis of the individual Extensive Air Showers data

1996/08/03 by Tadeusz Wibig, Wibig, Tadeusz
Environmental Science · Physics and Astronomy · #Air Quality Monitoring and Forecasting #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #hep-ph

paper · pdf · doi:10.48550/arxiv.hep-ph/9608227

13p (14 ps figs.)

arxiv created 1996/08/03 · openalex publication_date 1996/08/03 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In that paper we discuss possibilities of using the Artificial Neural Network technic for the individual Extensive Air Showers data evaluation. It is shown that the recently developed new computational methods can be used in studies of EAS registered by very large and complex detector systems. The ANN can be used to classify showers due to e.g. primary particle mass as well as to find a particular EAS parameter like e.g. total muon number. The examples of both kinds of analysis are given and discussed.

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