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.
Hybrid seeding: A standalone track reconstruction algorithm for scintillating fibre tracker at LHCb / S. Aiola, Y. Amhis, P. Billoir, B.K. Jashal, L. Henry, A.O. Campos, C.M. Benito, F. Polci, R. Quagliani, M. Schiller, M. Wang. - In: COMPUTER PHYSICS COMMUNICATIONS. - ISSN 0010-4655. - 260(2021). [10.1016/j.cpc.2020.107713]
Hybrid seeding: A standalone track reconstruction algorithm for scintillating fibre tracker at LHCb
S. AiolaPrimo
;L. Henry
;
2021
Abstract
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.
| File | Dimensione | Formato | |
|---|---|---|---|
|
1-s2.0-S0010465520303520-main.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
1.33 MB
Formato
Adobe PDF
|
1.33 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
