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Machine learning-based identification of highly Lorentz-boosted hadronically decaying particles at the CMS experiment

In this note, machine learning (ML) based techniques are presented to identify and classify hadronic decays of highly Lorentz-boosted W/Z/H bosons and top quarks, to be used by the CMS Collaboration. The techniques presented include the Energy Correlation Functions tagger, the Boosted Event Shape Ta...

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Detalles Bibliográficos
Autor principal: CMS Collaboration
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2683870