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Shumka, E.; El Sawy, M.; Alves, G.A.; Coelho, E.A.; Da Costa, E.M.; Nogima, H.; Santoro, A.; De Souza, S. Fonseca; De Jesus Damiao, D.; Thiel, M.; Amarilo, K. Mota; Filho, M. Barroso Ferreira; Aleksandrov, A.; Hadjiiska, R.; Iaydjiev, P.; Rodozov, M.; Shopova, M.; Soultanov, G.; Dimitrov, A.; Litov, L.; Petkov, P.; Petrov, A.; Qian, S.J.; Kou, H.; Liu, Z.-A.; Zhao, J.; Song, J.; Hou, Q.; Diao, W.; Cao, P.; Avila, C.; Cabrera, A.; Florez, A.; Fraga, J.; Reyes, J.; Assran, Y.; Mahmoud, M.A.; Mohammed, Y.; Crotty, I.; Laktineh, I.; Grenier, G.; Gouzevitch, M.; Mirabito, L.; Shchablo, K.; Bagaturia, I.; Lomidze, I.; Tsamalaidze, Z.; Amoozegar, V.; Boghrati, B.; Ebraimi, M.; Zareian, E.; Abbrescia, M.; Iaselli, G.; Pugliese, G.; Loddo, F.; De Filippis, N.; Aly, R.; Ramos, D.; Elmetenawee, W.; Leszki, S.; Paesani, D.; Benussi, L.; Piccolo, D.; Meola, S.; Buontempo, S.; Carnevali, F.; Lista, L.; Paolucci, P.; Fienga, F.; Braghieri, A.; Salvini, P.; Montagna, P.; Riccardi, C.; Vitulo, P.; Asilar, E.; Choi, J.; Kim, T.J.; Choi, S.Y.; Hong, B.; Lee, K.S.; Oh, H.Y.; Goh, J.; Yu, I.; Estrada, C. Uribe; Pedraza, I.; Castilla-Valdez, H.; Sanchez-Hernandez, A.; Fernandez, R.L.; Ramirez-Garcia, M.; Vazquez, E.; Shah, M.A.; Zaganidis, N.; Radi, A.; Hoorani, H.; Muhammad, S.; Ahmad, A.; Asghar, I.; Khan, W.A.; Eysermans, J.; Da Silva De Araujo, F. Torres
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 09/2023, Letnik: 1054, Številka: CJournal Article
The muon system of the CERN Compact Muon Solenoid (CMS) experiment includes more than a thousand Resistive Plate Chambers (RPC). They are gaseous detectors operated in the hostile environment of the CMS underground cavern on the Large Hadron Collider where pp luminosities of up to 2×1034cm−2s−1 are routinely achieved. The CMS RPC system performance is constantly monitored and the detector is regularly maintained to ensure stable operation. The main monitorable characteristics are dark current, efficiency for muon detection, noise rate etc. Herein we describe an automated tool for CMS RPC current monitoring which uses Machine Learning techniques. We further elaborate on the dedicated generalized linear model proposed already and add autoencoder models for self-consistent predictions as well as hybrid models to allow for RPC current predictions in a distant future.
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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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