ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F23%3A00576851" target="_blank" >RIV/68378271:_____/23:00576851 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21220/23:00372905 RIV/68407700:21340/23:00372905 RIV/68407700:21670/23:00372905 RIV/00216208:11320/23:10476595 RIV/61989592:15310/23:73621698
Result on the web
<a href="https://hdl.handle.net/11104/0346248" target="_blank" >https://hdl.handle.net/11104/0346248</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1140/epjc/s10052-023-11699-1" target="_blank" >10.1140/epjc/s10052-023-11699-1</a>
Alternative languages
Result language
angličtina
Original language name
ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset
Original language description
The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of s=13s =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 ttˉttˉ events, similarly, at a c-jet identification efficiency of 30%, a light-jet (b-jet) rejection factor of 70 (9) is obtained.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10303 - Particles and field physics
Result continuities
Project
<a href="/en/project/EF16_019%2F0000778" target="_blank" >EF16_019/0000778: Center for advanced applied science</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Physical Journal C
ISSN
1434-6044
e-ISSN
1434-6052
Volume of the periodical
83
Issue of the periodical within the volume
7
Country of publishing house
DE - GERMANY
Number of pages
37
Pages from-to
681
UT code for WoS article
001062397400001
EID of the result in the Scopus database
2-s2.0-85167625195