Classification of equation of state in relativistic heavy-ion collisions using deep learning Y Kvasiuk, E Zabrodin, L Bravina, I Didur, M Frolov Journal of High Energy Physics 2020 (7), 1-15, 2020 | 10 | 2020 |
Autodifferentiable likelihood pipeline for the cross-correlation of CMB and large-scale structure due to the kinetic Sunyaev-Zeldovich effect Y Kvasiuk, M Münchmeyer Physical Review D 109 (8), 083515, 2024 | 8 | 2024 |
Directed Flow in Microscopic Models in Relativistic A+ A Collisions L Bravina, Y Kvasiuk, S Sivoklokov, O Vitiuk, E Zabrodin Universe 5 (3), 69, 2019 | 4 | 2019 |
Anisotropic (v1 and v2) flow in relativistic heavy-ion collisions at energies between 4 GeV and 200 GeV LV Bravina, Y Kvasiuk, SY Sivoklokov, O Vitiuk, EE Zabrodin EPJ Web of Conferences 191, 05004, 2018 | 2 | 2018 |
Reconstruction of Continuous Cosmological Fields from Discrete Tracers with Graph Neural Networks Y Kvasiuk, J Krywonos, MC Johnson, M Münchmeyer arXiv preprint arXiv:2411.02496, 2024 | | 2024 |
A Tale of Two Fields: Neural Network-Enhanced non-Gaussianity Search with Halos Y Kvasiuk, M Münchmeyer, K Smith arXiv preprint arXiv:2410.01007, 2024 | | 2024 |
Directed flow and freeze-out in relativistic heavy-ion collisions at NICA and FAIR L Bravina, E Zabrodin, Y Kvasiuk, S Sivoklokov, O Vitiuk, D Sachenko PoS-Proceedings of Science, 2019 | | 2019 |
Directed flow and freeze-out in relativistic heavy-ion collisions at NICA and FAIR energies LV Bravina, Y Kvasiuk, D Sachenko, SY Sivoklokov, O Vitiuk, EE Zabrodin Proceedings of Science, 2018 | | 2018 |