Filtering data from a drift-chamber detector using neural networks

Per Hörnblad, Thomas Lindblad, Clark S. Lindsey, Géza Székely, Åge Eide

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

This paper describes the implementation of an analog neural network chip (Intel 80170NX ETANN) to filter a multi-signal read-out from flash-ADCs used in a liquid argon time projection chamber (ICARUS). The training and subsequent testing of the network is discussed in some detail. A network consisting of multiple sub-networks is proposed to perform signal filtering, determination of peak position and track finding.

Original languageEnglish
Pages (from-to)285-290
Number of pages6
JournalNuclear Inst. and Methods in Physics Research, A
Volume336
Issue number1-2
DOIs
Publication statusPublished - Nov 15 1993

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Instrumentation

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