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Performance of the reconstruction of large impact parameter tracks in the inner detector of ATLAS

Gutschow, Christian; ATLAS Collaboration; (2023) Performance of the reconstruction of large impact parameter tracks in the inner detector of ATLAS. European Physical Journal C: Particles and Fields , 83 , Article 1081. 10.1140/epjc/s10052-023-12024-6. Green open access

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Abstract

Searches for long-lived particles (LLPs) are among the most promising avenues for discovering physics beyond the Standard Model at the Large Hadron Collider (LHC). However, displaced signatures are notoriously difficult to identify due to their ability to evade standard object reconstruction strategies. In particular, the ATLAS track reconstruction applies strict pointing requirements which limit sensitivity to charged particles originating far from the primary interaction point. To recover efficiency for LLPs decaying within the tracking detector volume, the ATLAS Collaboration employs a dedicated large-radius tracking (LRT) pass with loosened pointing requirements. During Run 2 of the LHC, the LRT implementation produced many incorrectly reconstructed tracks and was therefore only deployed in small subsets of events. In preparation for LHC Run 3, ATLAS has significantly improved both standard and large-radius track reconstruction performance, allowing for LRT to run in all events. This development greatly expands the potential phase-space of LLP searches and streamlines LLP analysis workflows. This paper will highlight the above achievement and report on the readiness of the ATLAS detector for track-based LLP searches in Run 3.

Type: Article
Title: Performance of the reconstruction of large impact parameter tracks in the inner detector of ATLAS
Open access status: An open access version is available from UCL Discovery
DOI: 10.1140/epjc/s10052-023-12024-6
Publisher version: https://doi.org/10.1140/epjc/s10052-023-12024-6
Language: English
Additional information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
UCL classification: UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10183224
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