Speeding up particle track reconstruction using a parallel Kalman filter algorithm-Reference-Cited by-同舟云学术

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Speeding up particle track reconstruction using a parallel Kalman filter algorithm

Published:2020-09-22 Issue:09 Volume:15 Page:P09030-P09030
ISSN:1748-0221
Container-title:Journal of Instrumentation
language:
Short-container-title:J. Inst.

Author:

Lantz S.,McDermott K.,Reid M.,Riley D.,Wittich P.,Berkman S.,Cerati G.,Kortelainen M.,Hall A. Reinsvold,Elmer P.,Wang B.,Giannini L.,Krutelyov V.,Masciovecchio M.,Tadel M.,Würthwein F.,Yagil A.,Gravelle B.,Norris B.

Publisher

IOP Publishing

Subject

Mathematical Physics,Instrumentation

Link

https://iopscience.iop.org/article/10.1088/1748-0221/15/09/P09030/pdf

Reference27 articles.

1. LHC Machine

2. The CMS trigger system

3. Vertexing and Tracking Algoritms at High Pile-Up

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of performance portability solutions for GPUs and many-core CPUs to track reconstruction kernels;EPJ Web of Conferences;2024

2. Generalizing mkFit and its Application to HL-LHC;EPJ Web of Conferences;2024

3. A DNN for CMS track classification and selection;EPJ Web of Conferences;2024

4. A quantum algorithm for track reconstruction in the LHCb vertex detector;Journal of Instrumentation;2023-11-01

5. Application of constrained unscented Kalman filter (CUKF) for system identification of coupled hysteresis under bidirectional excitation;Structural Control and Health Monitoring;2022-10-05

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