activity
20072025
most citedTevatron-for-LHC Report: Top and Electroweak Physics

31 citations · 35 across the 7 of their papers we have counts for

collaborators

9 papers

hep-ph2025

A Methodology for Developing Foundational Transformer Models in Collider Physics Analysis

E. Abasov, L. Dudko, E. Iudin +4

We present a methodology for training foundational transformer models capable of processing collider data with diverse kinematic signatures. Our universal foundation model is desig…

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

Manifestations of Dark Matter in processes with three and four Top-Quarks

E. Abasov, E. Boos, V. Bunichev +8

This study explores possible manifestations of Dark Matter (DM) in processes involving multiple top quarks at the LHC. We analyze both the associated production of scalar and pseud…

hep-ph2025

Reconstruction of angular correlations in the associated top quark and the dark matter mediator production

E. Abasov, L. Dudko, E. Iudin +5

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…

hep-ph2024

Separation of left-handed and anomalous right-handed vector operators contributions into the Wtb vertex for single and double resonant top quark production processes using a neural network

E. Abasov, E. Boos, V. Bunichev +8

The paper describes the application of deep neural networks for the searchdeviations from the Standard Model predictions at the Wtb vertex in the processes of single and double res…

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…

hep-ph2024★ 1 cited

Search for dark matter mediator in the production of three and four top quarks

E. Abasov, E. Boos, V. Bunichev +8

In the context of simplified models of dark matter, the contributions of a scalar mediator to top quark production processes are considered. Tree-level and one-loop contributions o…

hep-ph2024★ 3 cited

Angular correlations in associated top-quark and dark matter production at Large Hadron Collider

E. Abasov, E. Boos, V. Bunichev +7

In the paper, we consider the processes of single top-quark production in association with dark matter particles through the t-channel in simplified models with scalar and pseudosc…

hep-ph2007★ 31 cited

Tevatron-for-LHC Report: Top and Electroweak Physics

C. E. Gerber, P. Murat, T. M. P. Tait +59

The top quark and electroweak bosons (W and Z) represent the most massive fundamental particles yet discovered, and as such refer directly to the Standard Model's greatest remainin…