1 citations · 1 across the 1 of their papers we have counts for
3 papers
physics.data-an2021★ 1 cited
Application of Deep Learning Technique to an Analysis of Hard Scattering Processes at Colliders
Lev Dudko, Petr Volkov, Georgii Vorotnikov +1
Deep neural networks have rightfully won the place of one of the most accurate analysis tools in high energy physics. In this paper we will cover several methods of improving the p…
hep-ph2020
Eligibility of EFT approach to search for tqg FCNC phenomenon
E. E. Boos, V. E. Bunichev, L. V. Dudko +2
The Effective Field Theory (EFT) approach is widely used in the search for possible deviations from the predictions of the Standard Model. Such an approximation of possible BSM phy…
hep-ph2020
General recipe to form input space for deep learning analysis of HEP scattering processes
Andrei Chernoded, Lev Dudko, Georgi Vorotnikov +4
Deep learning neural network technique (DNN) is one of the most efficient and general approach of multivariate data analysis of the collider experiments. The important step of the…