Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/139711
| Citations | ||
| Scopus | Web of Science® | Altmetric |
|---|---|---|
|
?
|
?
|
|
| Type: | Journal article |
| Title: | ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset |
| Author: | Aad, G. Abbott, B. Abbott, D.C. Abeling, K. Abidi, S.H. Aboulhorma, A. Abramowicz, H. Abreu, H. Abulaiti, Y. Abusleme Hoffman, A.C. Acharya, B.S. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Addepalli, S.V. Adelman, J. Adiguzel, A. Adorni, S. Adye, T. Affolder, A.A. et al. |
| Citation: | European Physical Journal C: Particles and Fields, 2023; 83(7):681-1-681-37 |
| Publisher: | Springer |
| Issue Date: | 2023 |
| ISSN: | 1434-6044 1434-6052 |
| Statement of Responsibility: | G. Aad ... M. Amerl ... E. K. Filmer ... P. Jackson ... A. X. Y. Kong ... H. Potti ... T. A. Ruggeri ... E. X. L. Ting ... M. J. White ... et al. (ATLAS Collaboration) |
| Abstract: | The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of s√=13 TeV pp collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on recurrent and deep neural networks, and their performance is evaluated in simulated collision events. These developments yield considerable improvements over previous jet-flavour identification strategies. At the 77% b-jet identification efficiency operating point, light-jet (charm-jet) rejection factors of 170 (5) are achieved in a sample of simulated Standard Model tt¯ events; similarly, at a c-jet identification efficiency of 30%, a light-jet (b-jet) rejection factor of 70 (9) is obtained. |
| Description: | Published online: 31 July 2023 |
| Rights: | © CERN for the benefit of the ATLAS collaboration 2023. 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://creativecomm ons.org/licenses/by/4.0/. Funded by SCOAP3. SCOAP3 supports the goals of the International Year of Basic Sciences for Sustainable Development. |
| DOI: | 10.1140/epjc/s10052-023-11699-1 |
| Grant ID: | ARC |
| Published version: | http://dx.doi.org/10.1140/epjc/s10052-023-11699-1 |
| Appears in Collections: | Physics publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| hdl_139711.pdf | Published version | 8.09 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.