CRIS Current Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishThe algorithms used by the ATLAS Collaboration during Run 2 of the Large Hadron Collider to identify jets containing b-hadrons are presented. The performance of the algorithms is evaluated in the simulation and the efficiency with which these algorithms identify jets containing b-hadrons is measured in collision data. The measurement uses a likelihood-based method in a sample highly enriched in tt ¯ events. The topology of the t → W b decays is exploited to simultaneously measure both the jet flavour composition of the sample and the efficiency in a transverse momentum range from 20 to 600 GeV. The efficiency measurement is subsequently compared with that predicted by the simulation. The data used in this measurement, corresponding to a total integrated luminosity of 80.5 fb−1, were collected in proton–proton collisions during the years 2015–2017 at a centre-of-mass energy √s = 13 TeV. By simultaneously extracting both the efficiency and jet flavour composition, this measurement significantly improves the precision compared to previous results, with uncertainties ranging from 1 to 8% depending on the jet transverse momentum.
| Titolo: | ATLAS b-jet identification performance and efficiency measurement with tt¯ events in pp collisions at √s = 13 TeV |
| Autore/i: | De Castro , S.; Fabbri , L.; Gabrielli , A.; Rinaldi , L.; Semprini Cesari , N.; Sioli , M.; Villa , M.; Zoccoli , A.; Bellagamba , L.; Boscherini , D.; Bruni , A.; Bruni , G.; D’Amen , G.; Giacobbe , B.; Polini , A.; Sbarra , C.; Sidoti , A.; Spighi , R.; Franchini , M.; Mengarelli , A.; Romano , M.; Valentinetti , S.; Alberghi , G. L.; Biondi , S.; Fabbri , F.; Lasagni Manghi , F; Massa , L.; Ucchielli , G.; Vittori , C.; Alfonsi , F:; Cabras , G.; Cervelli , A.; Giangiacomi , N.; Negrini , M.; ATLAS collaboration |
| Autore/i Unibo: | |
| Anno: | 2019 |
| Rivista: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1140/epjc/s10052-019-7450-8 |
| Abstract: | The algorithms used by the ATLAS Collaboration during Run 2 of the Large Hadron Collider to identify jets containing b-hadrons are presented. The performance of the algorithms is evaluated in the simulation and the efficiency with which these algorithms identify jets containing b-hadrons is measured in collision data. The measurement uses a likelihood-based method in a sample highly enriched in tt ¯ events. The topology of the t → W b decays is exploited to simultaneously measure both the jet flavour composition of the sample and the efficiency in a transverse momentum range from 20 to 600 GeV. The efficiency measurement is subsequently compared with that predicted by the simulation. The data used in this measurement, corresponding to a total integrated luminosity of 80.5 fb−1, were collected in proton–proton collisions during the years 2015–2017 at a centre-of-mass energy √s = 13 TeV. By simultaneously extracting both the efficiency and jet flavour composition, this measurement significantly improves the precision compared to previous results, with uncertainties ranging from 1 to 8% depending on the jet transverse momentum. |
| Data stato definitivo: | 2020-02-12T16:41:05Z |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipo | Licenza | |
|---|---|---|---|---|
| Aad2019_Article_ATLASB-jetIdentificationPerfor.pdf | Versione (PDF) editoriale | Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY) | Open Access Visualizza/Apri |
http://hdl.handle.net/11585/724765
Copyright © 2020