3 papers
hep-ph2025
Applying Normalizing Flows for spin correlations reconstruction in associated top-quark pair and dark matter production
E. Abasov, L. Dudko, E. Iudin +5
We apply a unified machine-learning framework based on Normalizing Flows (NFs) for the event-by-event reconstruction of invisible momenta and the subsequent evaluation of spin-sens…
hep-ph2025
StatTestCalculator: A New General Tool for Statistical Analysis in High Energy Physics
Emil Abasov, Lev Dudko, Daniil Gorin +1
We present StatTestCalculator (STC), a new open-source statistical analysis tool designed for analysis high energy physics experiments. STC provides both asymptotic calculations an…
hep-ph2024
Application of Kolmogorov-Arnold Networks in high energy physics
E. Abasov, P. Volkov, G. Vorotnikov +5
Kolmogorov-Arnold Networks represent a recent advancement in machine learning, with the potential to outperform traditional perceptron-based neural networks across various domains…