Affiliation:
1. Lomonosov Moscow State University
Abstract
The paper presents a method for separating the contribution of pair and single top quark production in
tWb-associated final state using a neural network. The proposed method makes possible to calculate such
processes in a gauge-invariant way with fully taking into account interference contributions and dividing the
phase space into single-resonant and double-resonant regions, which is necessary to increase the accuracy of
the search for possible deviations from the predictions of the Standard Model in these processes. To train the
neural network, the optimized set of observables is used to separate single-resonance and double-resonance
contributions to the overall process. The use of this method allows us to avoid the disadvantages inherent
in the schemes used in collider physics for calculating the processes of tWb-associated top quark production
with the removal of Feynman diagrams, which leads to violation of gauge invariance, or the addition of a
subtraction scheme, which leads to the appearance of negative weights for the part of simulated events. The
proposed method can be used to increase the efficiency of searching for deviations from the predictions of the
Standard Model in the interaction of the top quark with the W boson and b quark.
Subject
Space and Planetary Science,General Physics and Astronomy,Astronomy and Astrophysics