Gain uniformity of trapezoidal triple-GEM detectors

Y. Maghrbi, O. Bouhali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The Triple Gas Electron Multiplier (Triple-GEM) became recently one of the most popular gaseous ionization detectors used in high energy physics. Together with the experimental tests, the Monte Carlo simulation is a very important tool for the understanding of the properties of the triple-GEMs. The electron gain has to be stable and uniform enough across the detector. In this paper it is proposed to study the gain and its uniformity in a triple-GEM detector of a trapezoidal shape. It also reports on the uncertainty which can occur during the construction or the operation processes and can result in a gain variation.

Original languageEnglish
Title of host publication2013 7th International Conference on Sensing Technology, ICST 2013
PublisherIEEE Computer Society
Pages833-836
Number of pages4
ISBN (Print)9781467352215
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event2013 7th International Conference on Sensing Technology, ICST 2013 - Wellington, New Zealand
Duration: 3 Dec 20135 Dec 2013

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Other

Other2013 7th International Conference on Sensing Technology, ICST 2013
CountryNew Zealand
CityWellington
Period3/12/135/12/13

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Keywords

  • FEM
  • High energy physics
  • Monte-Carlo simulation
  • electron avalanche
  • gain uniformity
  • gaseous detectors
  • triple-GEM

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Maghrbi, Y., & Bouhali, O. (2013). Gain uniformity of trapezoidal triple-GEM detectors. In 2013 7th International Conference on Sensing Technology, ICST 2013 (pp. 833-836). [6727768] (Proceedings of the International Conference on Sensing Technology, ICST). IEEE Computer Society. https://doi.org/10.1109/ICSensT.2013.6727768