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The artificial neural networks in cosmic ray physics experiment; I. Total muon number estimation

  • Tadeusz Wibig
4 Applied Artificial Intelligence and Knowledge-Based Systems in Specific Domains Reports on Real Applications with Significant Findings
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1416)

Abstract

In this paper the possibility of using the Artificial Neural Network technique for the individual Extensive Air Showers data evaluation is discussed. It is shown that the recently developed new computational methods can be used in studies of Extensive Air Showers registered by very large and complex detector systems. The Artificial Neural Network can be used to find a particular Extensive Air Shower parameter like e.g. total muou number. The example using the KASCADE array experiment geometry is given.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Tadeusz Wibig
    • 1
  1. 1.Experimental Physics Dept.University of ŁódźŁódźPoland

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