Zobrazeno 1 - 10
of 333
pro vyhledávání: '"A. Gezerlis"'
Nuclear many-body systems, ranging from nuclei to neutron stars, are some of the most interesting physical phenomena in our universe, and Quantum Monte Carlo (QMC) approaches are among the most accurate many-body methods currently available to study
Externí odkaz:
http://arxiv.org/abs/2409.16365
Publikováno v:
Phys. Rev. A 110, 043320 - Published 25 October 2024
We present Quantum Monte Carlo calculations of the properties of a two-component mass imbalanced Fermi gas, corresponding to the $^6$Li-$^{40}$K mixture. We compute the equation of state of the unpolarized system as a function of the scattering lengt
Externí odkaz:
http://arxiv.org/abs/2407.12102
Any experimental evidence of nucleons paired in spin-triplet states will confirm the existence of an exotic phase of nuclear matter. This type of nuclear superfluidity has been hypothesized in heavy nuclei, where the antagonizing spin-orbit effects a
Externí odkaz:
http://arxiv.org/abs/2402.13313
Publikováno v:
Phil. Trans. R. Soc. A. 382: 20230127 (2024)
We employ constrained path Auxiliary Field Quantum Monte Carlo (AFQMC) in the pursuit of studying physical nuclear systems using a lattice formalism. Since AFQMC has been widely used in the study of condensed-matter systems such as the Hubbard model,
Externí odkaz:
http://arxiv.org/abs/2310.01504
Publikováno v:
Phys. Rev. Research 5, L042021 - Published 8 November 2023
We report on the first results for the second-order perturbation theory correction to the ground-state energy of a nuclear many-body system in a continuum quantum Monte Carlo calculation. Second-order (and higher) perturbative corrections are notorio
Externí odkaz:
http://arxiv.org/abs/2302.07285
Autor:
Gezerlis, Alexandros, Williams, Martin
Publikováno v:
Eur. Phys. J. Plus 138, 19 (2023)
This article discusses a number of incorrect statements appearing in textbooks on data analysis, machine learning, or computational methods; the common theme in all these cases is the relevance and application of statistics to the study of scientific
Externí odkaz:
http://arxiv.org/abs/2209.09073
Publikováno v:
Condens. Matter 2022, 7(1), 19
We report ab initio calculations of the S wave pairing gap in neutron matter calculated using realistic nuclear Hamiltonians that include two- and three-body interactions. We use a trial state, properly optimized to capture the essential pairing corr
Externí odkaz:
http://arxiv.org/abs/2201.01308
Publikováno v:
Phys. Rev. C 105, 025807 (2022)
The study of inhomogeneous neutron matter can provide insights into the structure of neutron stars as well as their dynamics in neutron-star mergers. In this work we tackle pure neutron matter in the presence of a periodic external field by consideri
Externí odkaz:
http://arxiv.org/abs/2111.08056
Autor:
Ismail, Nawar, Gezerlis, Alexandros
Publikováno v:
Phys. Rev. C 104, 055802 (2021)
We investigate the applicability of machine learning techniques in studying the finite-size effects associated with many-body physics. These techniques have an emerging presence in many-body theory as they have been used for interpolations, extrapola
Externí odkaz:
http://arxiv.org/abs/2107.03330
Publikováno v:
Universe 2021, 7(2), 24
Superfluid neutron matter is a key ingredient in the composition of neutron stars. The physics of the inner crust is largely dependent on that of its $S$-wave neutron superfluid which has made its presence known through pulsar glitches and modificati
Externí odkaz:
http://arxiv.org/abs/2012.04663