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Data Scouting and Data Parking with the CMS High level Trigger

The CMS experiment has devised two new strategies at the high level trigger to search for new physics in difficult corners of the phase space, or in large samples with B hadrons. The first strategy, called Data Scouting, introduced in Run 1, allows to take data that would otherwise be rejected by th...

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Autor principal: Mukherjee, Swagata
Lenguaje:eng
Publicado: SISSA 2020
Materias:
Acceso en línea:https://dx.doi.org/10.22323/1.364.0139
http://cds.cern.ch/record/2766071
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author Mukherjee, Swagata
author_facet Mukherjee, Swagata
author_sort Mukherjee, Swagata
collection CERN
description The CMS experiment has devised two new strategies at the high level trigger to search for new physics in difficult corners of the phase space, or in large samples with B hadrons. The first strategy, called Data Scouting, introduced in Run 1, allows to take data that would otherwise be rejected by the normal trigger filters. It is based on event-size reduction rather than event filtering and it is useful, for instance, to search for low mass resonances. The second strategy, called Data Parking, aims at overcoming the main limitation in the CMS data taking, which is the computing power involved in the prompt reconstruction. In 2018, a large amount of additional data, more than $1\times10^{10}$ events containing a pair of B hadrons, was collected by CMS and parked for a delayed offline reconstruction during the Long Shutdown 2. This dataset was triggered requiring a soft displaced muon originating from the decay of a B hadron, without applying any selection on the other B hadron, allowing an unbiased sample for competitive measurements on rare B-meson decays. Both methods are reviewed here.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2020
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spelling oai-inspirehep.net-18307982022-01-14T14:55:40Zdoi:10.22323/1.364.0139http://cds.cern.ch/record/2766071engMukherjee, SwagataData Scouting and Data Parking with the CMS High level TriggerDetectors and Experimental TechniquesThe CMS experiment has devised two new strategies at the high level trigger to search for new physics in difficult corners of the phase space, or in large samples with B hadrons. The first strategy, called Data Scouting, introduced in Run 1, allows to take data that would otherwise be rejected by the normal trigger filters. It is based on event-size reduction rather than event filtering and it is useful, for instance, to search for low mass resonances. The second strategy, called Data Parking, aims at overcoming the main limitation in the CMS data taking, which is the computing power involved in the prompt reconstruction. In 2018, a large amount of additional data, more than $1\times10^{10}$ events containing a pair of B hadrons, was collected by CMS and parked for a delayed offline reconstruction during the Long Shutdown 2. This dataset was triggered requiring a soft displaced muon originating from the decay of a B hadron, without applying any selection on the other B hadron, allowing an unbiased sample for competitive measurements on rare B-meson decays. Both methods are reviewed here.SISSAoai:inspirehep.net:18307982020
spellingShingle Detectors and Experimental Techniques
Mukherjee, Swagata
Data Scouting and Data Parking with the CMS High level Trigger
title Data Scouting and Data Parking with the CMS High level Trigger
title_full Data Scouting and Data Parking with the CMS High level Trigger
title_fullStr Data Scouting and Data Parking with the CMS High level Trigger
title_full_unstemmed Data Scouting and Data Parking with the CMS High level Trigger
title_short Data Scouting and Data Parking with the CMS High level Trigger
title_sort data scouting and data parking with the cms high level trigger
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.22323/1.364.0139
http://cds.cern.ch/record/2766071
work_keys_str_mv AT mukherjeeswagata datascoutinganddataparkingwiththecmshighleveltrigger