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Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter

dc.contributor.authorThe CMS Collaboration
dc.contributor.authorAlver, Burak Han
dc.contributor.authorBauer, Gerry P
dc.contributor.authorBendavid, Joshua L.
dc.contributor.authorBusza, Wit
dc.contributor.authorButz, Erik M.
dc.contributor.authorCali, Ivan Amos
dc.contributor.authorChan, M.
dc.contributor.authorD'Enterria, David
dc.contributor.authorEveraerts, Pieter Bruno Bart
dc.contributor.authorGomez-Ceballos, Guillelmo
dc.contributor.authorHahn, Kristian Allan
dc.contributor.authorHarris, Philip Coleman
dc.contributor.authorJaditz, Stephen Hunter
dc.contributor.authorKim, Y.
dc.contributor.authorKlute, Markus
dc.contributor.authorLee, Y.-J.
dc.contributor.authorLi, W.
dc.contributor.authorLoizides, Constantinos
dc.contributor.authorMa, Teng
dc.contributor.authorMiller, M.
dc.contributor.authorNahn, Steven
dc.contributor.authorPaus, Christoph M. E.
dc.contributor.authorRoland, Christof E
dc.contributor.authorRoland, Gunther M
dc.contributor.authorRudolph, Maja
dc.contributor.authorStephans, George S. F.
dc.contributor.authorSumorok, Konstanty C
dc.contributor.authorSung, K.
dc.contributor.authorVaurynovich, Siarhei S.
dc.contributor.authorWenger, Edward Allen
dc.contributor.authorWyslouch, Boleslaw
dc.contributor.authorXie, Si
dc.contributor.authorYilmaz, Y.
dc.contributor.authorYoon, A. S.
dc.date.accessioned2022-09-28T16:29:45Z
dc.date.available2021-10-27T19:57:06Z
dc.date.available2022-09-28T16:29:45Z
dc.date.issued2010-12-01
dc.identifier.urihttps://hdl.handle.net/1721.1/133890.2
dc.description.abstractCommissioning 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. © 2010 IOP Publishing Ltd and SISSA.en_US
dc.language.isoen
dc.publisherIOP Publishingen_US
dc.relation.isversionof10.1088/1748-0221/5/03/T03014en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleIdentification and filtering of uncharacteristic noise in the CMS hadron calorimeteren_US
dc.typeArticleen_US
dc.identifier.citationChatrchyan, S., et al. "Identification and Filtering of Uncharacteristic Noise in the Cms Hadron Calorimeter." Journal of Instrumentation 5 (2010).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Nuclear Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.relation.journalJournal of Instrumentationen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-06-19T12:39:58Z
dspace.orderedauthorsChatrchyan, S; Khachatryan, V; Sirunyan, AM; Adam, W; Arnold, B; Bergauer, H; Bergauer, T; Dragicevic, M; Eichberger, M; Erö, J; Friedl, M; Frühwirth, R; Ghete, VM; Hammer, J; Hansel, S; Hoch, M; Hörmann, N; Hrubec, J; Jeitler, M; Kasieczka, G; Kastner, K; Krammer, M; Liko, D; De Magrans Abril, I; Mikulec, I; Mittermayr, F; Neuherz, B; Oberegger, M; Padrta, M; Pernicka, M; Rohringer, H; Schmid, S; Schöfbeck, R; Schreiner, T; Stark, R; Steininger, H; Strauss, J; Taurok, A; Teischinger, F; Themel, T; Uhl, D; Wagner, P; Waltenberger, W; Walzel, G; Widl, E; Wulz, CE; Chekhovsky, V; Dvornikov, O; Emeliantchik, I; Litomin, A; Makarenko, V; Marfin, I; Mossolov, V; Shumeiko, N; Solin, A; Stefanovitch, R; Suarez Gonzalez, J; Tikhonov, A; Fedorov, A; Karneyeu, A; Korzhik, M; Panov, V; Zuyeuski, R; Kuchinsky, P; Beaumont, W; Benucci, L; Cardaci, M; De Wolf, EA; Delmeire, E; Druzhkin, D; Hashemi, M; Janssen, X; Maes, T; Mucibello, L; Ochesanu, S; Rougny, R; Selvaggi, M; Van Haevermaet, H; Van Mechelen, P; Van Remortel, N; Adler, V; Beauceron, S; Blyweert, S; D'Hondt, J; De Weirdt, S; Devroede, O; Heyninck, J; Kalogeropoulos, A; Maes, J; Maes, M; Mozer, MU; Tavernier, S; Van Doninck, W; Van Mulders, P; Villella, I; Bouhali, O; Chabert, EC; Charaf, O; Clerbaux, B; De Lentdecker, Gen_US
dspace.date.submission2019-06-19T12:39:59Z
mit.journal.volume5en_US
mit.journal.issue3en_US
mit.metadata.statusPublication Information Neededen_US


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21721.1/133890.2*2022-09-26T20:38:11ZMetadata changed: Verified or entered author name and department authority metadata.
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