Gurtu, A. ; et., al (2010) Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter Journal of Instrumentation, 5 (3). T03014_1-T03014 _30. ISSN 1748-0221
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Official URL: http://iopscience.iop.org/1748-0221/5/03/T03014/
Related URL: http://dx.doi.org/10.1088/1748-0221/5/03/T03014
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.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Institute of Physics. |
| Keywords: | Calorimeters; Large Detector Systems for Particle and Astroparticle Physics |
| ID Code: | 92220 |
| Deposited On: | 29 May 2012 12:13 |
| Last Modified: | 29 May 2012 12:13 |
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