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Data filtering in the readout of the CMS electromagnetic calorimeter

  • N. Almeida
  • , P. Silva
  • , J. C. Da Silva
  • , M. Husejko
  • , A. Jain
  • , P. Musella
  • , A. Mendes
  • , M. Gallinaro
  • , J. Varela
  • , J. L. Faure
  • , P. Gras
  • , I. Mandjavidze
  • , P. Busson
  • , P. Paganini
  • LIP - Lisboa
  • Lisboa
  • Institut Pierre Simon Laplace, CNRS and CEA
  • Université Paris-Sud

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For an efficient data taking, the Electromagnetic Calorimeter (ECAL) data of the CMS experiment must be limited to 10% of the full event size (1MB). Other requirements limit the average data size to 2kB per data acquisition link. These conditions imply a reduction factor of close to twenty on the data collected. The data filtering in the readout of the ECAL detector is discussed. Test beam data are used to study the digital filtering applied in the readout channels and a full detector simulation allows to estimate the energy thresholds to achieve the desired data suppression factor.

Original languageEnglish
Title of host publication2007 15th IEEE-NPSS Real-Time Conference, RT
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event2007 15th IEEE-NPSS Real-Time Conference, RT - Batavia, IL, United States
Duration: 29 Apr 20074 May 2007

Publication series

Name2007 15th IEEE-NPSS Real-Time Conference, RT

Conference

Conference2007 15th IEEE-NPSS Real-Time Conference, RT
Country/TerritoryUnited States
CityBatavia, IL
Period29/04/074/05/07

Keywords

  • CMS
  • Data acquisition
  • Data filtering
  • LHC
  • Selective readout
  • Trigger system
  • Trigger systems

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