Publication
Title
Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
Author
Institution/Organisation
CMS Collaboration
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.
Language
English
Source (journal)
Journal of instrumentation. - Bristol, 2006, currens
Publication
Bristol : Institute of Physics, 2010
ISSN
1748-0221
Volume/pages
5:3(2010), p. 1-30
Article Reference
T03014
ISI
000280524100018
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 22.07.2010
Last edited 31.08.2017
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