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Fast Reconstruction and Data Scouting

Data scouting, introduced by CMS in 2011, is the use of specialized data streams based on reduced event content, enabling LHC experiments to record unprecedented numbers of proton-proton collision events that would otherwise be rejected by the usual filters. These streams were created to maintain se...

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Autor principal: Duarte, Javier
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2642192
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author Duarte, Javier
author_facet Duarte, Javier
author_sort Duarte, Javier
collection CERN
description Data scouting, introduced by CMS in 2011, is the use of specialized data streams based on reduced event content, enabling LHC experiments to record unprecedented numbers of proton-proton collision events that would otherwise be rejected by the usual filters. These streams were created to maintain sensitivity to new light resonances decaying to jets or muons, while requiring minimal online and offline resources, and taking advantage of the fast and accurate online reconstruction algorithms of the high-level trigger. The viability of this technique was demonstrated by CMS in 2012, when 18.8 fb$^{-1}$ of collision data at $\sqrt{s} = 8$ TeV were collected and analyzed. For LHC Run 2, CMS, ATLAS, and LHCb implemented or expanded similar reduced-content data streams, promoting the concept to an essential and flexible discovery tool for the LHC.
id cern-2642192
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
record_format invenio
spelling cern-26421922023-06-29T04:30:48Zhttp://cds.cern.ch/record/2642192engDuarte, JavierFast Reconstruction and Data Scoutinghep-exParticle Physics - ExperimentData scouting, introduced by CMS in 2011, is the use of specialized data streams based on reduced event content, enabling LHC experiments to record unprecedented numbers of proton-proton collision events that would otherwise be rejected by the usual filters. These streams were created to maintain sensitivity to new light resonances decaying to jets or muons, while requiring minimal online and offline resources, and taking advantage of the fast and accurate online reconstruction algorithms of the high-level trigger. The viability of this technique was demonstrated by CMS in 2012, when 18.8 fb$^{-1}$ of collision data at $\sqrt{s} = 8$ TeV were collected and analyzed. For LHC Run 2, CMS, ATLAS, and LHCb implemented or expanded similar reduced-content data streams, promoting the concept to an essential and flexible discovery tool for the LHC.arXiv:1808.00902FERMILAB-CONF-18-370-CMS-E-PPDoai:cds.cern.ch:26421922018
spellingShingle hep-ex
Particle Physics - Experiment
Duarte, Javier
Fast Reconstruction and Data Scouting
title Fast Reconstruction and Data Scouting
title_full Fast Reconstruction and Data Scouting
title_fullStr Fast Reconstruction and Data Scouting
title_full_unstemmed Fast Reconstruction and Data Scouting
title_short Fast Reconstruction and Data Scouting
title_sort fast reconstruction and data scouting
topic hep-ex
Particle Physics - Experiment
url http://cds.cern.ch/record/2642192
work_keys_str_mv AT duartejavier fastreconstructionanddatascouting