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Pileup Mitigation with Machine Learning (PUMML)

Abstract Pileup involves the contamination of the energy distribution arising from the primary collision of interest (leading vertex) by radiation from soft collisions (pileup). We develop a new technique for removing this contamination using machine learning and convolutional neural networks. The n...

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Autors principals: Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman, Matthew D. Schwartz
Format: Artigo
Idioma:Inglês
Publicat: SpringerOpen 2017-12-01
Col·lecció:Journal of High Energy Physics
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Accés en línia:http://link.springer.com/article/10.1007/JHEP12(2017)051
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