Work

Track Reconstruction Transformer: A Scalable Deep Learning Approach for Particle Tracking in High-Energy Physics

Year: 2025

Type: article

Source: Physics of Particles and Nuclei

DOI: 10.1134/s1063779625700856

Authors: A. Nikolskaia, P. Goncharov, G. Ososkov, D. Girdyuk, D. Rusov

Institutions: St Petersburg University, Joint Institute for Nuclear Research

Language: English

Topic: Particle Detector Development and Performance

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4415543086

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Cites: 12

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