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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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2019
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Acceso en línea: | http://cds.cern.ch/record/2683870 |