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An automated tool to facilitate consistent test-driven development of trigger selections for LHCb’s Run 3

<!--HTML-->Upon its restart in 2022, the LHCb experiment at the LHC will run at higher instantaneous luminosity and utilize an unprecedented full-software trigger, promising greater physics reach and efficiency. On the flip side, conforming to offline data storage constraints becomes far more...

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Detalles Bibliográficos
Autor principal: Hunter, Ross John
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2766985
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author Hunter, Ross John
author_facet Hunter, Ross John
author_sort Hunter, Ross John
collection CERN
description <!--HTML-->Upon its restart in 2022, the LHCb experiment at the LHC will run at higher instantaneous luminosity and utilize an unprecedented full-software trigger, promising greater physics reach and efficiency. On the flip side, conforming to offline data storage constraints becomes far more challenging. Both of these considerations necessitate a set of highly optimised trigger selections. We therefore present HltEfficiencyChecker: an automated extension to the LHCb trigger application, facilitating trigger development before data-taking driven by trigger rates and efficiencies. Since the default in 2022 will be to persist only the event's signal candidate to disk, discarding the rest of the event, we also compute efficiencies where the decision was due to the true MC signal, evaluated by matching it to the trigger candidate hit-by-hit. This matching procedure – which we validate here – demonstrates that the distinction between a “trigger” and a “trigger-on-signal” is crucial in characterising the performance of a trigger selection.
id cern-2766985
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-27669852022-11-02T22:25:52Zhttp://cds.cern.ch/record/2766985engHunter, Ross JohnAn automated tool to facilitate consistent test-driven development of trigger selections for LHCb’s Run 325th International Conference on Computing in High Energy & Nuclear PhysicsConferences<!--HTML-->Upon its restart in 2022, the LHCb experiment at the LHC will run at higher instantaneous luminosity and utilize an unprecedented full-software trigger, promising greater physics reach and efficiency. On the flip side, conforming to offline data storage constraints becomes far more challenging. Both of these considerations necessitate a set of highly optimised trigger selections. We therefore present HltEfficiencyChecker: an automated extension to the LHCb trigger application, facilitating trigger development before data-taking driven by trigger rates and efficiencies. Since the default in 2022 will be to persist only the event's signal candidate to disk, discarding the rest of the event, we also compute efficiencies where the decision was due to the true MC signal, evaluated by matching it to the trigger candidate hit-by-hit. This matching procedure – which we validate here – demonstrates that the distinction between a “trigger” and a “trigger-on-signal” is crucial in characterising the performance of a trigger selection.oai:cds.cern.ch:27669852021
spellingShingle Conferences
Hunter, Ross John
An automated tool to facilitate consistent test-driven development of trigger selections for LHCb’s Run 3
title An automated tool to facilitate consistent test-driven development of trigger selections for LHCb’s Run 3
title_full An automated tool to facilitate consistent test-driven development of trigger selections for LHCb’s Run 3
title_fullStr An automated tool to facilitate consistent test-driven development of trigger selections for LHCb’s Run 3
title_full_unstemmed An automated tool to facilitate consistent test-driven development of trigger selections for LHCb’s Run 3
title_short An automated tool to facilitate consistent test-driven development of trigger selections for LHCb’s Run 3
title_sort automated tool to facilitate consistent test-driven development of trigger selections for lhcb’s run 3
topic Conferences
url http://cds.cern.ch/record/2766985
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