• Home
  1. Home
  2. Event reconstruction algorithms for the ATLAS trigger
Proceedings chapter
English

Event reconstruction algorithms for the ATLAS trigger

Contributors

ATLAS Collaboration

Collaborators

Eifert, Till; Gaumer, Olivier; Hamilton, Andrew; Wu, Xin

Presented at

Victoria, BC (Canada), 2-7 septembre 2007

Published in

Sobie, R. & Tafirout, R. & Thomson, J. (Ed.), International Conference on Computing in High Energy and Nuclear Physics (CHEP'07), p. 10

Publisher

USA : IOP Publishing

Collection

  • Journal of Physics: Conference Series; 119

Publication date

2008

Abstract

The ATLAS experiment under construction at CERN is due to begin operation at the end of 2007. The detector will record the results of proton-proton collisions at a center-of-mass energy of 14 TeV. The trigger is a three-tier system designed to identify in real-time potentially interesting events that are then saved for detailed offline analysis. The trigger system will select approximately 200 Hz of potentially interesting events out of the 40 MHz bunch-crossing rate (with 109 interactions per second at the nominal luminosity). Algorithms used in the trigger system to identify different event features of interest will be described, as well as their expected performance in terms of selection efficiency, background rejection and computation time per event. The talk will concentrate on recent improvements and on performance studies, using a very detailed simulation of the ATLAS detector and electronics chain that emulates the raw data as it will appear at the input to the trigger system.

UNIGE affiliation entities

Citation (ISO format)

ATLAS Collaboration. Event reconstruction algorithms for the ATLAS trigger. In: International Conference on Computing in High Energy and Nuclear Physics (CHEP′07). Sobie, R. & Tafirout, R. & Thomson, J. (Ed.). Victoria, BC (Canada). USA : IOP Publishing, 2008. p. 10. (Journal of Physics: Conference Series) doi: 10.1088/1742-6596/119/2/022022

Main files (1)

Proceedings chapter (Published version)

Identifiers

Additional URL for this publication

http://iopscience.iop.org/1742-6596/119/2/022022/
555views
0downloads

Technical informations

Creation

29/07/2014 15:41:00

First validation

29/07/2014 15:41:00

Update

13/10/2025 22:30:36

Status update

14/03/2023 21:28:54

Last indexation

10/11/2026 17:04:17
All rights reserved by Archive ouverte UNIGE and the University of Geneva
OpenAIRE Indexed & Validated