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.
@article{arxiv.2007.02591,
title = {HybridSeeding: A standalone track reconstruction algorithm for scintillating fibre tracker at LHCb},
author = {Salvatore Aiola and Yasmine Amhis and Pierre Billoir and Brij Kishor Jashal and Louis Henry and Arantza Oyanguren Campos and Carla Marin Benito and Francesco Polci and Renato Quagliani and Manuel Schiller and Mengzhen Wang},
journal= {arXiv preprint arXiv:2007.02591},
year = {2020}
}