TY - JOUR
T1 - Preliminary Performance Study of an Alternative Calorimeter Clustering Solution for Allen in LHCb
AU - the LHCb Real Time Analysis Project
AU - Canudas, Núria Valls
AU - Cardona, Xavier Vilasis
AU - Gómez, Míriam Calvo
AU - Golobardes Ribé, Elisabet
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences.
PY - 2024/5/6
Y1 - 2024/5/6
N2 - The 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.
AB - The 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.
UR - http://www.scopus.com/inward/record.url?scp=85212189903&partnerID=8YFLogxK
U2 - 10.1051/epjconf/202429502023
DO - 10.1051/epjconf/202429502023
M3 - Conference article
AN - SCOPUS:85212189903
SN - 2101-6275
VL - 295
JO - EPJ Web of Conferences
JF - EPJ Web of Conferences
M1 - 02023
T2 - 26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023
Y2 - 8 May 2023 through 12 May 2023
ER -