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PreprintCC BY 4.0arXiv

GNN-based track reconstruction for MUonE experiment

  • Damian Mizera
  • Mateusz Goncerz
  • Izabela Juszczak
  • Marcin Kucharczyk
  • Marcin Wolter
  • Milosz Zdybal
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Abstract

A study of a Graph Neural Network-based model for track reconstruction in the context of MUonE experiment is presented, using simulated data corresponding to the test-run MUonE detector setup. The fully three dimensional model successfully addresses both the reconstruction and particle identification challenges essential for achieving the experiment's primary physics goal. It provides significantly faster pattern recognition than classical reconstruction algorithms, while maintaining comparable efficiency and resolution.

Versions

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Cite

BibTeXRIS
BibTeX
@misc{mizera2026gnnbased,
  title = {{GNN-based track reconstruction for MUonE experiment}},
  author = {Damian Mizera and Mateusz Goncerz and Izabela Juszczak and Marcin Kucharczyk and Marcin Wolter and Milosz Zdybal},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.07234},
  eprint = {2609.07234},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.07234},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - GNN-based track reconstruction for MUonE experiment
AU  - Damian Mizera
AU  - Mateusz Goncerz
AU  - Izabela Juszczak
AU  - Marcin Kucharczyk
AU  - Marcin Wolter
AU  - Milosz Zdybal
PY  - 2026
DA  - 2026/09/07
PB  - arXiv
DO  - 10.48550/arxiv.2609.07234
UR  - https://arxiv.org/abs/2609.07234
AB  - A study of a Graph Neural Network-based model for track reconstruction in the context of MUonE experiment is presented, using simulated data corresponding to the test-run MUonE detector setup. The fully three dimensional model successfully addresses both the reconstruction and particle identification challenges essential for achieving the experiment's primary physics goal. It provides significantly faster pattern recognition than classical reconstruction algorithms, while maintaining comparable efficiency and resolution.
ER  -