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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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Lenguaje: | eng |
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2018
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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 |