Graph Neural Networks for Charged Particle Tracking on FPGAs

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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Bibliographic Details
Main Authors: Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier Duarte, Markus Atkinson, Gage DeZoort, Peter Elmer, Scott Hauck, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark Neubauer, Isobel Ojalvo, Savannah Thais, Matthew Trahms
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Big Data
Subjects:
graph neural networks
FPGAs
tracking
LHC
trigger
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2022.828666/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2022.828666/full

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