Pregled bibliografske jedinice broj: 1258140
Identification of hadronic tau lepton decays using a deep neural network
Identification of hadronic tau lepton decays using a deep neural network // Journal of Instrumentation, 17 (2022), P07023, 52 doi:10.1088/1748-0221/17/07/P07023 (međunarodna recenzija, članak, znanstveni)
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Naslov
Identification of hadronic tau lepton decays using a deep neural network
Autori
Tumasyan, Armen ; ... ; Antunović, Željko ; Brigljević, Vuko ; Ferenček, Dinko ; Giljanović, Duje ; Godinović, Nikola ; Kovač, Marko ; Lelas, Damir ; Majumder, Devdatta ; Puljak, Ivica ; Roguljić, Matej ; Starodumov, Andrey ; Đurić, Senka ; Šuša, Tatjana ; Šćulac, Toni ; ... ; Vetens, Wren
Kolaboracija
CMS Collaboration
Izvornik
Journal of Instrumentation (1748-0221) 17
(2022);
P07023, 52
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
High energy physics ; Experimental particle physics ; LHC ; CMS ; p p: scattering ; p p: colliding beams ; B: decay ; tau: hadronic decay ; interaction: gauge ; interaction: model ; transverse momentum: missing-energy ; new physics: search for ; mass spectrum: transverse ; black hole: quantum ; vector boson: mass ; W': leptonic decay ; sensitivity ; leptoquark: coupling ; CERN LHC Coll ; leptoquark: mass: lower limit ; anomaly ; channel cross section: upper limit ; effective field theory ; Higgs
Sažetak
A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons ($\tau_\mathrm{; ; h}; ; $) that originate from genuine tau leptons in the CMS detector against $\tau_\mathrm{; ; h}; ; $ candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a $\tau_\mathrm{; ; h}; ; $ candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine $\tau_\mathrm{; ; h}; ; $ to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient $\tau_\mathrm{; ; h}; ; $ reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved $\tau_\mathrm{; ; h}; ; $ reconstruction method are validated with LHC proton-proton collision data at $\sqrt{; ; s}; ; =$ 13 TeV.
Izvorni jezik
Engleski
Znanstvena područja
Fizika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Institut "Ruđer Bošković", Zagreb,
Prirodoslovno-matematički fakultet, Split
Profili:
Senka Đurić
(autor)
Marko Kovač
(autor)
Duje Giljanović
(autor)
Matej Roguljić
(autor)
Damir Lelas
(autor)
Ivica Puljak
(autor)
Toni Šćulac
(autor)
Tatjana Šuša
(autor)
Vuko Brigljević
(autor)
Nikola Godinović
(autor)
Dinko Ferenček
(autor)
Devdatta Majumder
(autor)
Željko Antunović
(autor)
Poveznice na cjeloviti tekst rada:
Pristup cjelovitom tekstu rada doi iopscience.iop.org fulir.irb.hrCitiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus