Particle selection in a cosmic ray space experiment by neural networks

Roberto Bellotti; Marcello Castellano; Carlo Nicola De Marzo

doi:10.1117/12.235976

22 March 1996 Particle selection in a cosmic ray space experiment by neural networks

Roberto Bellotti, Marcello Castellano, Carlo Nicola De Marzo

Proceedings Volume 2760, Applications and Science of Artificial Neural Networks II; (1996) https://doi.org/10.1117/12.235976
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

The study of the human decision-making process has led the investigators to formulate formal paradigms in order to gain knowledge by examples. Among of these, neural networks are high performance paradigms to build up example-based classifiers. In cosmic ray space experiments, a large volume of information for each cosmic ray trigger are produced. Some of the data was visual in nature, other portions contained energy deposition and timing information. The data sets are amenable to conventional analysis techniques but there is no assurance that conventional techniques make full use of subtle correlations and relations amongst the detector responses. In this paper a data analysis, based on neural network classifiers, is presented in order to study cosmic ray propagation and production in the Galaxy, by means of the electron and positron signal, detected in a balloon borne experiment.

Citation Download Citation

Roberto Bellotti, Marcello Castellano, and Carlo Nicola De Marzo "Particle selection in a cosmic ray space experiment by neural networks", Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); https://doi.org/10.1117/12.235976

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available