Studies to mitigate difference between real data and simulation for jet tagging

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<!--HTML-->The aim of the studies presented is to improve the performance of jet flavour tagging on real data while still exploiting a simulated dataset for the learning of the main classification task. In the presentation we explore “off the shelf” domain adaptation techniques as well as cust...

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Detalles Bibliográficos
Autores principales: Buchmuller, Oliver, Martelli, Arabella, Kieseler, Jan, Verzetti, Mauro, Stoye, Markus
Lenguaje:eng
Publicado: 2018
Materias:
Machine Learning
Acceso en línea:http://cds.cern.ch/record/2315380
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