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Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter

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.

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Autoría: Chatrchyan S., Khachatryan V., Sirunyan A.M., Adam W., Arnold B., Bergauer H., Bergauer T., Dragicevic M., Eichberger M., Erö J., Friedl M., Frühwirth R., Ghete V.M., 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., S

Fuente: Journal of Instrumentation, 2010, 5, T03014

Editorial: Institute of Physics

Año de publicación: 2010

Nº de páginas: 32

Tipo de publicación: Artículo de Revista

DOI: 10.1088/1748-0221/5/03/T03014

ISSN: 1748-0221

Url de la publicación: https://doi.org/10.1088/1748-0221/5/03/T03014

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