| Article | |
| Report number | arXiv:2007.02591 |
| Title | Hybrid seeding: A standalone track reconstruction algorithm for scintillating fibre tracker at LHCb |
| Author(s) | Aiola, Salvatore (Milan U.) ; Amhis, Yasmine (IJCLab, Orsay) ; Billoir, Pierre (Paris U., VI-VII) ; Kishor Jashal, Brij (Valencia U., IFIC) ; Henry, Louis (Valencia U., IFIC ; Milan U.) ; Oyanguren Campos, Arantza (Valencia U., IFIC) ; Marin Benito, Carla (IJCLab, Orsay) ; Polci, Francesco (Paris U., VI-VII) ; Quagliani, Renato (Paris U., VI-VII) ; Schiller, Manuel (Glasgow U.) ; Wang, Mengzhen (Tsinghua U., Beijing, CHEP) |
| Publication | 2021-03 |
| Imprint | 2020-07-06 |
| Number of pages | 7 |
| Note | 7 pages, 6 figures |
| In: | Comput. Phys. Commun. 260 (2021) 107713 |
| DOI | 10.1016/j.cpc.2020.107713 (publication) |
| Subject category | hep-ex ; Particle Physics - Experiment ; physics.ins-det ; Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; LHCb |
| Abstract | We describe the Hybrid seeding, a standalone pattern recognition algorithm aiming at finding charged particle trajectories for the LHCb upgrade. A significant improvement to the charged particle reconstruction efficiency is accomplished by exploiting the knowledge of the LHCb magnetic field and the position of energy deposits in the scintillating fibre tracker detector. Moreover, we achieve a low fake rate and a small contribution to the overall timing budget of the LHCb real-time data processing. |
| Copyright/License | preprint: (License: arXiv nonexclusive-distrib 1.0) Elsevier B.V. |
Corresponding record in: Inspire
Record creato 2021-01-05, modificato l'ultima volta il 2023-10-04
