Identification and filtering of uncharacteristic noise in the CMS hadroncalorimeter
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 | Journal of Instrumentation (Q4) | ||
| Dergi ISSN | 1748-0221 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2010 |
| Cilt / Sayı / Sayfa | 5 / 3 / – | DOI | 10.1088/1748-0221/5/03/T03014 |
| UAK Araştırma Alanları |
Yüksek Enerji ve Parçacık Fiziği
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| Özet |
| Commissioning studies of the CMS hadron calorimeter have identified sporadic uncharacteristic noise and a small number of malfunctioning calorimeter channels. Algorithms have been developed to identify and address these problems in the data. The methods have been tested on cosmic ray muon data, calorimeter noise data, and single beam data collected with CMS in 2008. The noise rejection algorithms can be applied to LHC collision data at the trigger level or in the offline analysis. The application of the algorithms at the trigger level is shown to remove 90% of noise events with fake missing transverse energy above 100 GeV, which is sufficient for the CMS physics trigger operation. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 82 |
| Google Scholar | 287 |
| Google Scholar | 2 |