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Mass regression of highly-boosted jets using graph neural networks
In this note a novel technique is presented, based on machine learning (ML), to reconstruct the mass of hadronically decaying highly Lorentz-boosted heavy particles with the CMS Phase 1 detector. The technique, commonly known as mass regression, is based on ParticleNet [1-3], a graph neural network...
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | http://cds.cern.ch/record/2777006 |