Search for supersymmetry in events with opposite sign dileptons andmissing transverse energy using an artificial neural network
Yazarlar (1)
Doç. Dr. Mustafa Numan BAKIRCI Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Physical Review D Particles Fields Gravitation and Cosmology (Q4) | ||
| Dergi ISSN | 1550-7998 | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2013 |
| Cilt / Sayı / Sayfa | 87 / 7 / – | DOI | 10.1103/PhysRevD.87.072001 |
| UAK Araştırma Alanları |
Yüksek Enerji ve Parçacık Fiziği
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| Özet |
| In this paper, a search for supersymmetry (SUSY) is presented in events with two opposite-sign isolated leptons in the final state, accompanied by hadronic jets and missing transverse energy. An artificial neural network is employed to discriminate possible SUSY signals from a standard model background. The analysis uses a data sample collected with the CMS detector during the 2011 LHC run, corresponding to an integrated luminosity of 4.98 fb-1 of proton-proton collisions at the center-of-mass energy of 7 TeV. Compared to other CMS analyses, this one uses relaxed criteria on missing transverse energy (EÌ̧T> |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 12 |