| Article | |
| Title | Preliminary Performance Study of an Alternative Calorimeter Clustering Solution for Allen in LHCb |
| Author(s) | Canudas, Núria Valls (Ramon Llull U., Barcelona) ; Cardona, Xavier Vilasis (Ramon Llull U., Barcelona) ; Calvo Gómez, Míriam (Ramon Llull U., Barcelona) ; Golobardes Ribé, Elisabet (Ramon Llull U., Barcelona) |
| Collaboration | LHCb Real Time Analysis Project Collaboration |
| Publication | 2024 |
| Number of pages | 8 |
| In: | EPJ Web Conf. 295 (2024) 02023 |
| In: | 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.02023 |
| DOI | 10.1051/epjconf/202429502023 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; LHCb |
| Abstract | 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. |
| Copyright/License | publication: © 2024 The authors CC-BY-4.0 |
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Zapis kreiran 2024-12-10, zadnja izmjena 2024-12-10
