Track identification in high energy physics

David Primor*, Giora Mikenberg, Hagit Messer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The new particle accelerators and detectors create a challenging processing environment, characterized by huge mass of recorded data of which only small part is of scientific interest. This paper addresses the problem of muon track identification in a cathode strip chamber (CSC), which is a part of the ATLAS detector. We suggest a new "detect-before-estimate" approach, which first detect the particle and then estimate its hit locations. In a presence of high background noise, this approach can significantly save computing time. We use a modification of the Hough transform and we show that using the appropriate transform parameters, the line detection performance is sufficiently close to the theoretical detection performance, based on a statistical model specially developed for this problem.

Original languageEnglish
Title of host publication2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts
PublisherIEEE Computer Society
Pages29-34
Number of pages6
ISBN (Print)0780394046, 9780780394049
DOIs
StatePublished - 2005
Event2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Bordeaux, France
Duration: 17 Jul 200520 Jul 2005

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2005

Conference

Conference2005 IEEE/SP 13th Workshop on Statistical Signal Processing
Country/TerritoryFrance
CityBordeaux
Period17/07/0520/07/05

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