Hybrid seeding: A standalone track reconstruction algorithm for scintillating fibre tracker at LHCb

We describe the Hybrid seeding , a stand-alone 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 th...

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Detalles Bibliográficos
Autores principales: Aiola, Salvatore, Amhis, Yasmine, Billoir, Pierre, Kishor Jashal, Brij, Henry, Louis, Oyanguren Campos, Arantza, Marin Benito, Carla, Polci, Francesco, Quagliani, Renato, Schiller, Manuel, Wang, Mengzhen
Lenguaje:eng
Publicado: 2020
Materias:
hep-ex
Particle Physics - Experiment
physics.ins-det
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1016/j.cpc.2020.107713
http://cds.cern.ch/record/2748557
Descripción
Sumario:We describe the Hybrid seeding , a stand-alone 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.

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