Cargando…
Real-time analysis in Run 3 with the LHCb experiment
The second stage of LHCb experiment's high-level trigger, deployed on a CPU server farm, not only selects events but performs an offline-quality alignment and calibration of the detector and uses this information to allow physics analysts to deploy essentially their full offline analysis level...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.22323/1.398.0829 http://cds.cern.ch/record/2827223 |
_version_ | 1780973888957579264 |
---|---|
author | Li, Peilian |
author_facet | Li, Peilian |
author_sort | Li, Peilian |
collection | CERN |
description | The second stage of LHCb experiment's high-level trigger, deployed on a CPU server farm, not only selects events but performs an offline-quality alignment and calibration of the detector and uses this information to allow physics analysts to deploy essentially their full offline analysis level selections (including computing isolation, flavour tagging, etc) at the trigger level. This “real time analysis” concept has also allowed LHCb to fully unify its online and offline software codebases. We cover the design and performance of the system which will be deployed in Run 3, with particular attention to the physics performance of the new algorithms. |
id | cern-2827223 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-28272232022-09-16T21:13:03Zdoi:10.22323/1.398.0829http://cds.cern.ch/record/2827223engLi, PeilianReal-time analysis in Run 3 with the LHCb experimentDetectors and Experimental TechniquesThe second stage of LHCb experiment's high-level trigger, deployed on a CPU server farm, not only selects events but performs an offline-quality alignment and calibration of the detector and uses this information to allow physics analysts to deploy essentially their full offline analysis level selections (including computing isolation, flavour tagging, etc) at the trigger level. This “real time analysis” concept has also allowed LHCb to fully unify its online and offline software codebases. We cover the design and performance of the system which will be deployed in Run 3, with particular attention to the physics performance of the new algorithms.oai:cds.cern.ch:28272232022 |
spellingShingle | Detectors and Experimental Techniques Li, Peilian Real-time analysis in Run 3 with the LHCb experiment |
title | Real-time analysis in Run 3 with the LHCb experiment |
title_full | Real-time analysis in Run 3 with the LHCb experiment |
title_fullStr | Real-time analysis in Run 3 with the LHCb experiment |
title_full_unstemmed | Real-time analysis in Run 3 with the LHCb experiment |
title_short | Real-time analysis in Run 3 with the LHCb experiment |
title_sort | real-time analysis in run 3 with the lhcb experiment |
topic | Detectors and Experimental Techniques |
url | https://dx.doi.org/10.22323/1.398.0829 http://cds.cern.ch/record/2827223 |
work_keys_str_mv | AT lipeilian realtimeanalysisinrun3withthelhcbexperiment |