240 citations · 611 across the 7 of their papers we have counts for
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hep-ph2019★ 240 cited
The Machine Learning Landscape of Top Taggers
G. Kasieczka, T. Plehn, A. Butter +24
Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established metho…
hep-ph2019
TopFitter: Fitting top-quark Wilson Coefficients to Run II data
Stephen Brown, Andy Buckley, Christoph Englert +7
We describe the latest TopFitter analysis, which uses top quark observables to fit the Wilson Coefficients of the SM augmented with dimension-6 operators. In particular, we discuss…