Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
Name
0911.4881.pdf
Description
Accepted version
Size
2.42 MB
Format
Unknown
Checksum (MD5)
736040e6ef3ff4e720cae8eecc568e8a
Author(s)
The CMS Collaboration
Alver, Burak Han
Bauer, Gerry P
Bendavid, Joshua L.
Busza, Wit
Butz, Erik M.
Cali, Ivan Amos
Chan, M.
D'Enterria, David
Everaerts, Pieter Bruno Bart
Date Issued
December 1, 2010
Journal
Journal of Instrumentation
Publisher
IOP Publishing
Citation
Chatrchyan, S., et al. "Identification and Filtering of Uncharacteristic Noise in the Cms Hadron Calorimeter." Journal of Instrumentation 5 (2010).
Version
Author's final manuscript
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. © 2010 IOP Publishing Ltd and SISSA.
MIT Department
Massachusetts Institute of Technology. Laboratory for Nuclear Science
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1088/1748-0221/5/03/T03014
