Development of ML FPGA Filter for Particle Identification and Tracking in Real Time-Reference-Cited by-同舟云学术

Development of ML FPGA Filter for Particle Identification and Tracking in Real Time

Author:

Barbosa F.¹,Belfore L.²,Branson N.³,Dickover C.¹,Fanelli C.⁴^ORCID,Furletov D.⁴,Furletov S.¹^ORCID,Jokhovets L.⁵^ORCID,Lawrence D.¹^ORCID,Romanov D.¹

Affiliation:

1. Thomas Jefferson National Accelerator Facility, Newport News, VA, USA

2. Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA

3. Department of Computing, Mathematics and Physics, Messiah University, Mechanicsburg, PA, USA

4. College of William and Mary, Williamsburg, VA, USA

5. Jülich Research Centre, Systeme der Elektronik (ZEA-2), Forschungszentrum Jülich, Jülich, Germany

Funder

Jefferson

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

Reference17 articles.

3. Graph neural networks for particle reconstruction in high energy physics detectors;ju;arXiv 2003 11603,2020

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