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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…
Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report
J. Bendavid, F. Caola, V. Ciulli +102
This Report summarizes the proceedings of the 2017 Les Houches workshop on Physics at TeV Colliders. Session 1 dealt with (I) new developments relevant for high precision Standard…
PDF dependence on parameter fits from hadronic data
Zahari Kassabov
We present a discussion on the methods for extracting a given parameter from measurements of hadronic data, with particular focus on determinations of the strong coupling constant.…
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…