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Machine learning classification: case of Higgs boson CP state in H to tau tau$ decay at LHC

Machine learning (ML) techniques are rapidly finding a place among the methods of high-energy physics data analysis. Different approaches are explored concerning how much effort should be put into building high-level variables based on physics insight into the problem, and when it is enough to rely...

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Detalles Bibliográficos
Autores principales:	Lasocha, K., Richter-Was, E., Tracz, D., Was, Z., Winkowska, P.
Lenguaje:	eng
Publicado:	2018
Materias:	hep-ph Particle Physics - Phenomenology
Acceso en línea:	https://dx.doi.org/10.1103/PhysRevD.100.113001 http://cds.cern.ch/record/2653082

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