Accelerating Graph-based Tracking Tasks with Symbolic Regression

The reconstruction of particle tracks from hits in tracking detectors is a computationally intensive task due to the large combinatorics of detector signals. Recent efforts have proven that ML techniques can be successfully applied to the tracking problem, extending and improving the conventional me...

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Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Soybelman, Nathalie, Schiavi, Carlo, Di Bello, Francesco A, Gross, Eilam
Format:	Artikel
Sprache:	eng
Schlagworte:	Combinatorial analysis Field programmable gate arrays Message passing Neural networks Particle tracking Physics - High Energy Physics - Experiment Tracking problem
Online-Zugang:	Volltext
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