Graph Neural Networks for Charged Particle Tracking on FPGAs

The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially in the high interaction density conditions expected during the future high-luminosity phase of the LHC (HL-LHC). Graph neural networks (GNNs) a...

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Detalles Bibliográficos
Autores principales: Elabd, Abdelrahman, Razavimaleki, Vesal, Huang, Shi-Yu, Duarte, Javier, Atkinson, Markus, DeZoort, Gage, Elmer, Peter, Hauck, Scott, Hu, Jin-Xuan, Hsu, Shih-Chieh, Lai, Bo-Cheng, Neubauer, Mark, Ojalvo, Isobel, Thais, Savannah, Trahms, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984615/
https://www.ncbi.nlm.nih.gov/pubmed/35402906
http://dx.doi.org/10.3389/fdata.2022.828666

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984615/
https://www.ncbi.nlm.nih.gov/pubmed/35402906
http://dx.doi.org/10.3389/fdata.2022.828666

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