Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm

Reconstruction of Charged Particle Tracks in Realistic Detector Geometry Using a Vectorized and Parallelized Kalman Filter Algorithm

One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is finding and fitting particle tracks during event reconstruction. Algorithms used at the LHC today rely on Kalman filtering, which builds physical trajectories incrementally while i...

Full description

Bibliographic Details
Main Authors: Cerati Giuseppe, Elmer Peter, Gravelle Brian, Kortelainen Matti, Krutelyov Vyacheslav, Lantz Steven, Masciovecchio Mario, McDermott Kevin, Norris Boyana, Reid Michael, Reinsvold Hall Allison, Riley Daniel, Tadel Matevž, Wittich Peter, Wang Bei, Würthwein Frank, Yagil Avraham
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_02013.pdf

Internet

https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_02013.pdf

Similar Items