Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
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Chatrchyan, S.Adžić, Petar
Đorđević, Miloš
Jovanović, Dragana J.
Krpić, D.
Maletić, Dimitrije
Puzović, Jovan M.
Smiljković, Nikola
Milenović, Predrag
(ukupan broj autora: 2424)
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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.
Keywords:
Calorimeters / Large detector systems for particle and astroparticle physicsSource:
Journal of Instrumentation, 2010, 5Funding / projects:
- FMSR (Austria), FNRS (Belgium), FWO (Belgium), CNPq (Brazil), CAPES (Brazil), FAPERJ (Brazil), FAPESP (Brazil), MES (Bulgaria), CERN, CAS (China), MoST (China), NSFC (China), COLCIEN-CIAS (Colombia), MSES (Croatia), RPF (Cyprus), Academy of Sciences (Estonia), NICPB (Estonia), Academy of Finland, ME (Finland), HIP (Finland), CEA (France), CNRS/IN2P3 (France), BMBF, Germany, DFG (Germany), HGF (Germany), GSRT (Greece), OTKA (Hungary), NKTH (Hungary), DAE (India), DST (India), IPM (Iran), SFI (Ireland), INFN (Italy), NRF (Korea), LAS (Lithuania), CINVESTAV (Mexico), SEP (Mexico), UASLP-FAI (Mexico), PAEC (Pakistan), SCSR (Poland), FCT (Portugal), JINR (Armenia), JINR (Belarus), JINR (Georgia), JINR (Ukraine), JINR (Uzbekistan), MST (Russia), MAE (Russia), MSTDS (Serbia), MICINN (Spain), CPAN (Spain), Swiss Funding Agencies (Switzerland), NSC (Taipei), TUBITAK (Turkey), TAEK (Turkey), STFC (United Kingdom), DOE (USA), NSF (USA), European Union, Leventis Foundation, A.P. Sloan Foundation, Alexander von Humboldt Foundation
DOI: 10.1088/1748-0221/5/03/T03014
ISSN: 1748-0221
WoS: 000280524100018
Scopus: 2-s2.0-79953270700
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VinčaTY - JOUR AU - Chatrchyan, S. AU - Adžić, Petar AU - Đorđević, Miloš AU - Jovanović, Dragana J. AU - Krpić, D. AU - Maletić, Dimitrije AU - Puzović, Jovan M. AU - Smiljković, Nikola AU - Milenović, Predrag PY - 2010 UR - https://vinar.vin.bg.ac.rs/handle/123456789/3951 AB - 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. T2 - Journal of Instrumentation T1 - Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter VL - 5 DO - 10.1088/1748-0221/5/03/T03014 ER -
@article{ author = "Chatrchyan, S. and Adžić, Petar and Đorđević, Miloš and Jovanović, Dragana J. and Krpić, D. and Maletić, Dimitrije and Puzović, Jovan M. and Smiljković, Nikola and Milenović, Predrag", year = "2010", abstract = "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.", journal = "Journal of Instrumentation", title = "Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter", volume = "5", doi = "10.1088/1748-0221/5/03/T03014" }
Chatrchyan, S., Adžić, P., Đorđević, M., Jovanović, D. J., Krpić, D., Maletić, D., Puzović, J. M., Smiljković, N.,& Milenović, P.. (2010). Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter. in Journal of Instrumentation, 5. https://doi.org/10.1088/1748-0221/5/03/T03014
Chatrchyan S, Adžić P, Đorđević M, Jovanović DJ, Krpić D, Maletić D, Puzović JM, Smiljković N, Milenović P. Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter. in Journal of Instrumentation. 2010;5. doi:10.1088/1748-0221/5/03/T03014 .
Chatrchyan, S., Adžić, Petar, Đorđević, Miloš, Jovanović, Dragana J., Krpić, D., Maletić, Dimitrije, Puzović, Jovan M., Smiljković, Nikola, Milenović, Predrag, "Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter" in Journal of Instrumentation, 5 (2010), https://doi.org/10.1088/1748-0221/5/03/T03014 . .