Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter

Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter

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, calo...

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Format: Article
Language:English
Published: IOP Publishing 2021
Online Access:https://hdl.handle.net/1721.1/133890
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collection MIT
description 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.
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spelling mit-1721.1/1338902022-04-01T20:12:52Z Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter 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. 2021-10-27T19:57:06Z 2021-10-27T19:57:06Z 2010-12-01 2019-06-19T12:39:58Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/133890 Chatrchyan, S., et al. "Identification and Filtering of Uncharacteristic Noise in the Cms Hadron Calorimeter." Journal of Instrumentation 5 (2010). en 10.1088/1748-0221/5/03/T03014 Journal of Instrumentation Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf IOP Publishing arXiv
spellingShingle Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
title Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
title_full Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
title_fullStr Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
title_full_unstemmed Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
title_short Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
title_sort identification and filtering of uncharacteristic noise in the cms hadron calorimeter
url https://hdl.handle.net/1721.1/133890

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