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Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models
The classification of jets induced by quarks or gluons is important for New Physics searches at high-energy colliders. However, available taggers usually rely on modeling the data through Monte Carlo simulations, which could veil intractable theoretical and systematical uncertainties. To significant...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969742/ https://www.ncbi.nlm.nih.gov/pubmed/35372834 http://dx.doi.org/10.3389/frai.2022.852970 |