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Identification of highly Lorentz-boosted heavy particles using graph neural networks and new mass decorrelation techniques
This note presents several new developments on machine learning (ML)-based identification of highly Lorentz-boosted heavy particles using jet substructure in CMS and their performance with the CMS Phase 1 detector. A new algorithm based on ParticleNet, a graph neural network using an unordered set o...
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| Lenguaje: | eng |
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2020
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| Acceso en línea: | http://cds.cern.ch/record/2707946 |