1 citations · 1 across the 1 of their papers we have counts for
6 papers
Generative artificial intelligence for reconstructing neutron-star matter
Julia Yu. Panteleeva, Herzallah Alharazin, Evgeny Epelbaum
Neutron-star cores hold the only known matter in the universe that is simultaneously cold and strongly interacting, compressed beyond nuclear density into a state of unknown compos…
Reconstruction of Gravitational Form Factors using Generative Machine Learning
Herzallah Alharazin, Julia Yu. Panteleeva
We develop a generative framework based on denoising diffusion for the model-independent reconstruction of hadronic form factors from sparse and noisy data. The generative prior is…
On the definition of the nucleon axial charge density
J. Yu. Panteleeva, E. Epelbaum, J. Gegelia +1
We work out the spatial density distributions corresponding to the axial-vector charge density operator for spin-1/2 systems using states described by sharply localized wave packet…
Diffusion Models for SU(2) Lattice Gauge Theory in Two Dimensions
H. Alharazin, J. Yu. Panteleeva, B. -D. Sun
We apply score-based diffusion models to two-dimensional SU(2) lattice pure gauge theory with the Wilson action, extending recent work on U(1) gauge theories. The SU(2) manifold st…
Gravitational form factors of the -boson
P. BeiÃner, J. Yu. Panteleeva, B. -D. Sun +2
Matrix elements of the energy-momentum tensor for one-particle states of the -boson are parameterized in terms of gravitational form factors. One-loop order electroweak correcti…
Gravitational form factors of the deuteron
J. Yu. Panteleeva, E. Epelbaum, A. M. Gasparyan +1
The gravitational form factors of the deuteron are calculated in the framework of non-relativistic chiral effective field theory. Non-relativistic reduction of the matrix element o…