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An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging
Deep learning methods have been increasingly adopted to study jets in particle physics. Since symmetry-preserving behavior has been shown to be an important factor for improving the performance of deep learning in many applications, Lorentz group equivariance — a fundamental spacetime symmetry for e...
| Autores principales: | , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/JHEP07(2022)030 http://cds.cern.ch/record/2800104 |