Reconstruction and identification of pairs of collimated τ-leptons decaying hadronically using sqrt{s}=13 TeV pp collision data with the ATLAS detector

Aad, G. orcid.org/0000-0002-6665-4934, Aakvaag, E. orcid.org/0000-0001-7616-1554, Abbott, B. orcid.org/0000-0002-5888-2734 et al. (2929 more authors) (2025) Reconstruction and identification of pairs of collimated τ-leptons decaying hadronically using sqrt{s}=13 TeV pp collision data with the ATLAS detector. The European Physical Journal C, 85 (5). 561. ISSN 1434-6044

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© CERN for the benefit of the ATLAS Collaboration 2025. Open Access: 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/.

Keywords: Nuclear and Plasma Physics; Particle and High Energy Physics; Physical Sciences
Dates:
  • Accepted: 14 March 2025
  • Published (online): 22 May 2025
  • Published: May 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences
Depositing User: Symplectic Sheffield
Date Deposited: 28 May 2025 15:33
Last Modified: 28 May 2025 15:33
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1140/epjc/s10052-025-14075-3
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics