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Vertex reconstruction in the ATLAS experiment at the LHC

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
  • E. Bouhova-Thacker
  • T. Koffas
  • V. Kostyukhin
  • W. Liebig
  • M. Limper
  • G. Piacquadio
  • K. Prokofiev
  • C. Weiser
  • A. Wildauer
  • The ATLAS collaboration
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Publication date2009
Host publicationNuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
Place of PublicationNew York
PublisherIEEE
Pages995-1002
Number of pages8
ISBN (electronic)9781424427154
ISBN (print)9781424427147
<mark>Original language</mark>English
EventIEEE Nuclear Science Symposium/Medical Imaging Conference - Dresden, Germany
Duration: 19/10/200825/10/2008

Conference

ConferenceIEEE Nuclear Science Symposium/Medical Imaging Conference
Country/TerritoryGermany
Period19/10/0825/10/08

Publication series

NameIEEE NUCLEAR SCIENCE SYMPOSIUM - CONFERENCE RECORD
PublisherIEEE
ISSN (Print)1082-3654

Conference

ConferenceIEEE Nuclear Science Symposium/Medical Imaging Conference
Country/TerritoryGermany
Period19/10/0825/10/08

Abstract

In the harsh environment of the Large Hadron Collider at CERN (design luminosity of 10(34) cm(-2) s(-1)) efficient reconstruction of vertices is crucial for many physics analyses. Described in this paper are the strategies for vertex reconstruction used in the ATLAS experiment and their implementation in the software framework Athena. The algorithms for the reconstruction of primary and secondary vertices as well as for finding of photon conversions and vertex reconstruction in jets are described. A special emphasis is made on the vertex fitting with application of additional constraints. The implementation of mentioned algorithms follows a very modular design based on object-oriented C++ and use of abstract interfaces. The user-friendly concept allows event reconstruction and physics analyses to compare and optimize their choice among different vertex reconstruction strategies. The performance of implemented algorithms has been studied on a variety of Monte Carlo samples and results are presented.