For the process of single top quark production within the "simplified model" with a scalar dark matter mediator, a new variable based on angular correlations was presented, for the proper reconstruction of which it is necessary to separate the contributions of two undetectable particles: the neutrino and the mediator. In this work, various machine learning approaches for reconstructing the momenta of these particles are analyzed. A comparison is made between the results obtained using a multilayer perceptron and the Normalizing Flows architectures. The neural networks based on Normalizing Flows, presented in this work, demonstrate a high quality of reconstruction of the target variable and can be used for collider data analysis.
@article{arxiv.2504.14303,
title = {Reconstruction of angular correlations in the associated top quark and the dark matter mediator production},
author = {E. Abasov and L. Dudko and E. Iudin and A. Markina and P. Volkov and G. Vorotnikov and M. Perfilov and A. Zaborenko},
journal= {arXiv preprint arXiv:2504.14303},
year = {2025}
}