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Autori principali: Abasov, E., Dudko, L., Iudin, E., Markina, A., Volkov, P., Vorotnikov, G., Perfilov, M., Zaborenko, A.
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2504.14303
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author Abasov, E.
Dudko, L.
Iudin, E.
Markina, A.
Volkov, P.
Vorotnikov, G.
Perfilov, M.
Zaborenko, A.
author_facet Abasov, E.
Dudko, L.
Iudin, E.
Markina, A.
Volkov, P.
Vorotnikov, G.
Perfilov, M.
Zaborenko, A.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2504_14303
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Reconstruction of angular correlations in the associated top quark and the dark matter mediator production
Abasov, E.
Dudko, L.
Iudin, E.
Markina, A.
Volkov, P.
Vorotnikov, G.
Perfilov, M.
Zaborenko, A.
High Energy Physics - Phenomenology
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.
title Reconstruction of angular correlations in the associated top quark and the dark matter mediator production
topic High Energy Physics - Phenomenology
url https://arxiv.org/abs/2504.14303