Machine learning templates for QCD factorization in the search for physics beyond the standard model

Machine learning templates for QCD factorization in the search for physics beyond the standard model

Abstract High-multiplicity all-hadronic final states are an important, but difficult final state for searching for physics beyond the Standard Model. A powerful search method is to look for large jets with accidental substructure due to multiple hard partons falling within a single jet. One way for...

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Bibliographic Details
Main Authors: Joshua Lin, Wahid Bhimji, Benjamin Nachman
Format: Article
Language:English
Published: SpringerOpen 2019-05-01
Series:Journal of High Energy Physics
Subjects:
Jets
Online Access:http://link.springer.com/article/10.1007/JHEP05(2019)181

Internet

http://link.springer.com/article/10.1007/JHEP05(2019)181

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