Documentation for Hybrid Seeding paper

Authors: S. Aiola, Y. Amhis, P. Billoir, B. Kishor Jashal, L. Henry, A. Oyanguren Campos, C. Marin Benito, F. Polci, R. Quagliani, M.Wang

Abstract:

We describe the Hybrid seeding, a standalone pattern recognition algorithm aiming at finding charged particle trajectories for the LHCb upgrade. Using the knowledge of the LHCb magnetic field and the position of energy deposits in the scintillating fibre tracker detector, we significantly improve the charged particle reconstruction efficiency while keeping low fake rate and a small contribution to the overall timing budget of LHCb real-time data processing.

Reviewers: Christoph Hasse and Arthur Hannequin

Drafts:

• First version of paper v1

• Second version of the paper version of paper: paper-v2.pdf

• Third version of the paper version of paper: HybridSeeeding_v3.pdf

• Answers to the questions of the referees: answers-hybrid-seeding.pdf

Paper presentation:

• Start of the review https://indico.cern.ch/event/916434/
• End of the review https://indico.cern.ch/event/872911/

-- YasmineAmhis - 2020-19-06