Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at s=13 TeV
Yazarlar (2)
CMS Collaboration
Prof. Dr. Hasan OĞUL Sinop Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | REPORTS ON PROGRESS IN PHYSICS (Q1) | ||
| Dergi ISSN | 0034-4885 Dergi Bilgileri (2025) | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2025 |
| Cilt / Sayı / Sayfa | 88 / 6 / 67802–0 | DOI | 10.1088/1361-6633/add762 |
| Makale Linki | https://iopscience.iop.org/article/10.1088/1361-6633/add762/meta | ||
| UAK Araştırma Alanları |
Fen Bilimleri ve Matematik
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| Özet |
| This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8–6 TeV. The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions. Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure. A collection of complementary anomaly detection methods—based on unsupervised, weakly supervised, and semisupervised algorithms—are used in order to maximize the sensitivity to unknown new physics signatures. These algorithms are applied to data corresponding to an integrated luminosity of 138 fb−1, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV. No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of … |
| Anahtar Kelimeler |
| CMS | ML | anomaly | dijet | resonance |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 23 |
| Google Scholar | 91 |