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Tools for Trigger Rate Monitoring at CMS
In 2017, we expect the LHC to deliver an instantaneous luminosity of roughly $2.0 \times 10^{34}$~cm$^{-2}$s$^{-1}$ to the Compact Muon Solenoid (CMS) experiment, with about 60 simultaneous proton-proton collisions (pileup) per event. In these challenging conditions, it is important to be able to in...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1085/4/042032 http://cds.cern.ch/record/2293136 |
_version_ | 1780956511153946624 |
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author | Smith, Geoffrey Mueller, Charles Wightman, Andrew Steven |
author_facet | Smith, Geoffrey Mueller, Charles Wightman, Andrew Steven |
author_sort | Smith, Geoffrey |
collection | CERN |
description | In 2017, we expect the LHC to deliver an instantaneous luminosity of roughly $2.0 \times 10^{34}$~cm$^{-2}$s$^{-1}$ to the Compact Muon Solenoid (CMS) experiment, with about 60 simultaneous proton-proton collisions (pileup) per event. In these challenging conditions, it is important to be able to intelligently monitor the rate at which data are being collected (the trigger rate). It is not enough to simply look at the trigger rate; it is equally important to compare the trigger rate with expectations. We present a set of software tools that have been developed to accomplish this. The tools include a real-time component - a script that monitors the rates of individual triggers during data-taking, and activates an alarm if rates deviate significantly from expectation. Fits are made to previously collected data and extrapolated to higher pileup. The behavior of triggers as a function of pileup is then monitored as data are collected - plots are automatically produced on an hourly basis and uploaded to a web area for inspection. This same set of tools can also be used offline in data certification, as well as in more complex offline analysis of trigger behavior. |
id | cern-2293136 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | cern-22931362021-02-09T10:07:02Zdoi:10.1088/1742-6596/1085/4/042032http://cds.cern.ch/record/2293136engSmith, GeoffreyMueller, CharlesWightman, Andrew StevenTools for Trigger Rate Monitoring at CMSDetectors and Experimental TechniquesIn 2017, we expect the LHC to deliver an instantaneous luminosity of roughly $2.0 \times 10^{34}$~cm$^{-2}$s$^{-1}$ to the Compact Muon Solenoid (CMS) experiment, with about 60 simultaneous proton-proton collisions (pileup) per event. In these challenging conditions, it is important to be able to intelligently monitor the rate at which data are being collected (the trigger rate). It is not enough to simply look at the trigger rate; it is equally important to compare the trigger rate with expectations. We present a set of software tools that have been developed to accomplish this. The tools include a real-time component - a script that monitors the rates of individual triggers during data-taking, and activates an alarm if rates deviate significantly from expectation. Fits are made to previously collected data and extrapolated to higher pileup. The behavior of triggers as a function of pileup is then monitored as data are collected - plots are automatically produced on an hourly basis and uploaded to a web area for inspection. This same set of tools can also be used offline in data certification, as well as in more complex offline analysis of trigger behavior.CMS-CR-2017-406oai:cds.cern.ch:22931362017-11-06 |
spellingShingle | Detectors and Experimental Techniques Smith, Geoffrey Mueller, Charles Wightman, Andrew Steven Tools for Trigger Rate Monitoring at CMS |
title | Tools for Trigger Rate Monitoring at CMS |
title_full | Tools for Trigger Rate Monitoring at CMS |
title_fullStr | Tools for Trigger Rate Monitoring at CMS |
title_full_unstemmed | Tools for Trigger Rate Monitoring at CMS |
title_short | Tools for Trigger Rate Monitoring at CMS |
title_sort | tools for trigger rate monitoring at cms |
topic | Detectors and Experimental Techniques |
url | https://dx.doi.org/10.1088/1742-6596/1085/4/042032 http://cds.cern.ch/record/2293136 |
work_keys_str_mv | AT smithgeoffrey toolsfortriggerratemonitoringatcms AT muellercharles toolsfortriggerratemonitoringatcms AT wightmanandrewsteven toolsfortriggerratemonitoringatcms |