10 citations · 34 across the 11 of their papers we have counts for
6 papers · 1 filter
Fixed-energy inverse scattering with radial basis function neural networks and its application to neutron-alpha interactions
Gábor Balassa
This paper proposes a data-driven method to solve the fixed-energy inverse scattering problem for radially symmetric potentials using radial basis function (RBF) neural networks in…
Nonautonomous Volterra Series Expansion of the Variable Phase Approximation and its Application to the Nucleon-Nucleon Inverse Scattering Problem
Gabor Balassa
In this paper, the nonlinear Volterra series expansion is extended and used to describe certain types of nonautonomous differential equations related to the inverse scattering prob…
Estimating Inverse Scattering Potentials for n-p System Using Variational Monte Carlo & Neural Networks
Anil Khachi, Gabor Balassa
The Riccati-type nonlinear differential equation, also known as the Variable Phase Approach or Phase Function Method, is used to construct local inverse potentials for the \( ^3S_1…
A statistical model to calculate inclusive hadronic cross sections
Gábor Balassa, György Wolf
Hadronic cross sections are important ingredients in many of the ongoing research methods in high-energy nuclear physics, and it is always important to measure and/or calculate the…
Charmonium spectral functions in collision
Gy. Wolf, G. Balassa, P. Kovács +2
We study the in-medium propagation of low-lying charmonium states: , (3686), and (3770) in a Au GeV collision. This energy regime will be available for the…
A statistical method to estimate low-energy hadronic cross sections
Gábor Balassa, Péter Kovács, György Wolf
In this article we propose a model based on the Statistical Bootstrap approach to estimate the cross sections of different hadronic reactions up to a few GeV in c.m.s energy. The m…