4 papers
Neural-Network-Based Variational Method in Nuclear Density Functional Theory: Application to the Extended Thomas-Fermi Model
Kenta Yoshimura
We propose a neural-network-based variational framework for nuclear Density Functional Theory based on the extended Thomas--Fermi (ETF) model, in which proton and neutron number de…
Parameter Optimization of Domain-Wall Fermion using Machine Learning
Shunsuke Yasunaga, Kenta Yoshimura, Akio Tomiya +1
We study a parameter optimization of domain-wall fermions to improve chiral symmetry based on machine learning. Domain-wall fermions involve coefficients along the fifth dimension,…
Isotone Chain Study of -atom spectroscopy and Strong Spin-orbit splittings
Kenta Yoshimura, Shunsuke Yasunaga, Daisuke Jido +1
Antiprotonic atoms have served as a pivotal tool for investigating the properties of baryon-baryon interactions, including their spin dependence. Examining the spin-orbit splitting…
Interrelation between -Ca Atom Spectra and Nuclear Density Profiles
Kenta Yoshimura, Shunsuke Yasunaga, Daisuke Jido +2
This work studies -Ca atom spectra in light of the strong shifts and level widths, using the optical model with several types of parametric coefficients. The spectroscopic…