Application of Machine Learning for the Analysis of Higgs Boson Production in Association with Single Top-Quark

This work describes results of application of a neural network for the classification of the Higgs boson in association with a single top quark signal production and the main background processes production at the LHC in the ATLAS experiment. The tH channel is sensitive to the sign of the tH-coupling unlike the ttH. Also, an accurate measurement of the Higgs-top coupling is sensitive to the Beyond the Standard Model physics [1, 2].