002919256 001__ 2919256
002919256 003__ SzGeCERN
002919256 005__ 20241210231705.0
002919256 0247_ $$2DOI$$9EDP Sciences$$a10.1051/epjconf/202429502023
002919256 0248_ $$aoai:cds.cern.ch:2919256$$pcerncds:FULLTEXT$$pcerncds:CERN:FULLTEXT$$pcerncds:CERN
002919256 035__ $$9https://inspirehep.net/api/oai2d$$aoai:inspirehep.net:2784857$$d2024-12-09T08:45:59Z$$h2024-12-10T05:06:08Z$$mmarcxml
002919256 035__ $$9Inspire$$a2784857
002919256 041__ $$aeng
002919256 100__ $$aCanudas, Núria Valls$$uRamon Llull U., Barcelona
002919256 245__ $$9EDP Sciences$$aPreliminary Performance Study of an Alternative Calorimeter Clustering Solution for Allen in LHCb
002919256 260__ $$c2024
002919256 300__ $$a8 p
002919256 520__ $$9EDP Sciences$$aThe LHCb experiment has recently started a new period of data taking after a major upgrade in both software and hardware. One of the biggest challenges has been the migration of the first part of the trigger system into a parallel GPU architecture framework called Allen, which performs a partial reconstruction of most of the LHCb sub-detectors. In Allen, the reconstruction of the Electromagnetic Calorimeter (ECAL) sub-detector is used in many selection algorithms, but its efficiency is currently 10% lower than the full reconstruction performed in the second stage of the trigger. In this work, we present a preliminary performance study of an alternative ECAL reconstruction algorithm implemented in Allen that complements the current algorithm to maximise the reconstruction efficiency and also minimise the impact on the throughput rate.
002919256 540__ $$aCC-BY-4.0$$bEDP Sciences$$uhttps://creativecommons.org/licenses/by/4.0/
002919256 542__ $$3publication$$dThe authors$$g2024
002919256 65017 $$2SzGeCERN$$aDetectors and Experimental Techniques
002919256 690C_ $$aARTICLE
002919256 690C_ $$aCERN
002919256 693__ $$aCERN LHC$$eLHCb
002919256 700__ $$aCardona, Xavier Vilasis$$uRamon Llull U., Barcelona
002919256 700__ $$aCalvo Gómez, Míriam$$uRamon Llull U., Barcelona
002919256 700__ $$aGolobardes Ribé, Elisabet$$uRamon Llull U., Barcelona
002919256 710__ $$gLHCb Real Time Analysis Project Collaboration
002919256 773__ $$c02023$$pEPJ Web Conf.$$v295$$wC23-05-08$$y2024
002919256 8564_ $$82694809$$s2239812$$uhttp://cds.cern.ch/record/2919256/files/document.pdf$$yFulltext
002919256 960__ $$a13
002919256 962__ $$b2853081$$k02023$$nnorfolk20230508
002919256 980__ $$aARTICLE
002919256 980__ $$aConferencePaper