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Machine Learning in High Energy Physics Community White Paper
Kim Albertsson, Piero Altoe, Dustin Anderson +125
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…
MINLO t-channel single-top plus jet
Stefano Carrazza, Rikkert Frederix, Keith Hamilton +1
We present a next-to-leading order accurate simulation of t-channel single-top plus jet production matched to parton showers via the POWHEG method. The calculation underlying the s…
Sampling the Riemann-Theta Boltzmann Machine
Stefano Carrazza, Daniel Krefl
We show that the visible sector probability density function of the Riemann-Theta Boltzmann machine corresponds to a gaussian mixture model consisting of an infinite number of comp…
Precision determination of the strong coupling constant within a global PDF analysis
Richard D. Ball, Stefano Carrazza, Luigi Del Debbio +5
We present a determination of the strong coupling constant based on the NNPDF3.1 determination of parton distributions, which for the first time includes constraints fro…