Title
Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
article
Publication
Bristol :Institute of Physics ,
Subject
Physics
Source (journal)
Journal of instrumentation. - Bristol, 2006, currens
Volume/pages
5(2010) :3 , p. 1-30
ISSN
1748-0221
Article Reference
T03014
ISI
000280524100018
Carrier
E-only publicatie
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
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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Full text (open access)
https://repository.uantwerpen.be/docman/irua/aa9bd2/83226.pdf
Handle