| Makale Türü |
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| Dergi Adı | Journal of Instrumentation (Q3) | ||
| Dergi ISSN | 1748-0221 Dergi Bilgileri (2026) | ||
| Makale Dili | İngilizce | Basım Tarihi | 04-2026 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-04-2026 |
| Cilt / Sayı / Sayfa | 21 / 4 / – | DOI | 10.1088/1748-0221/21/04/P04002 |
| Makale Linki | https://iopscience.iop.org/article/10.1088/1748-0221/21/04/P04002/meta | ||
| UAK Araştırma Alanları |
Nükleer Fizik
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| Özet |
| The trigger system of the CMS detector is pivotal in the acquisition of data for physics measurements and searches. Studies of final states characterized by hadronic decays of tau leptons require the reconstruction and the identification of genuine tau leptons against quark- and gluon-initiated jets at the trigger level. This is a difficult task, particularly as improvements to the LHC have resulted in an increased number of interactions per bunch crossing in recent years. To address this challenge, a series of machine-learning algorithms with high identification efficiency and low computational cost have been incorporated into the high-level trigger for hadronically decaying tau leptons. In this paper, these developments and the trigger performance are summarized using data collected by the CMS experiment in proton-proton collisions at √(s) = 13.6 TeV in 2022–2023, corresponding to an integrated luminosity of 62 fb-1. |
| Anahtar Kelimeler |
| Particle identification methods | Trigger detectors |
| Atıf Sayıları | |
| Google Scholar | 2 |
| Dergi Adı | Journal of Instrumentation |
| Kısa Adı | J INSTRUM |
| Yayıncı | IOP Publishing Ltd |
| Açık Erişim | Hayır |
| ISSN | 1748-0221 |
| E-ISSN | 1748-0221 |
| Wos Quartile | Q3 |
| Scopus Quartile | Q3 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | INSTRUMENTS & INSTRUMENTATION |
| Scopus Kategoriler | INSTRUMENTATION | MATHEMATICAL PHYSICS |