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Related papers: Relativistic Mean-Field Hadronic Models under Nucl…

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The relativistic mean field approach (RMF) is well known for describing accurately binding energies and nucleon distributions in atomic nuclei throughout the nuclear chart. The random phase approximation (RPA) built on top of the RMF is…

Nuclear Theory · Physics 2008-11-26 Nguyen Van Giai , Haozhao Liang , Jie Meng

A density dependent relativistic mean-field model is determined to reproduce the components of the nucleon self-energy at low densities. This model is used to investigate spinodal instabilities in isospin asymmetric nuclear matter at finite…

Nuclear Theory · Physics 2013-02-25 E. N. E. van Dalen , H. Müther

Properties of dense hadronic matter including strange particles are studied within the relativistic mean-field theory (RMFT). The possibility of kaon condensation is reexamined, and a simple condition is found for the parameters included in…

Nuclear Theory · Physics 2009-10-30 Tomoyuki Maruyama , Hiromasa Shin , Hirotsugu Fujii , Toshitaka Tatsumi

Recent studies have shown that concepts of effective field theory such as naturalness can be profitably applied to relativistic mean-field models of nuclei. Here the analysis by Friar, Madland, and Lynn of naturalness in a relativistic…

Nuclear Theory · Physics 2008-11-26 R. J. Furnstahl , John J. Rusnak

We study relativistic mean-field models with hadron masses and coupling constants depending self-consistently on a scalar meson field. We demonstrate that by the field redefinition some models can be equivalently transformed into each…

Nuclear Theory · Physics 2009-11-10 E. E. Kolomeitsev , D. N. Voskresensky

New Relativistic mean field parameter set IOPB-I has been developed.

Nuclear Theory · Physics 2017-10-16 Bharat Kumar , B. K. Agrawal , S. K. Patra

The Relativistic Mean Field (RMF) theory is applied to the analysis of ground-state properties of Ne, Na, Cl and Ar isotopes. In particular, we study the recently established proton skin in Ar isotopes and neutron skin in Na isotopes as a…

Nuclear Theory · Physics 2007-05-23 L. S. Geng , H. Toki , A. Ozawa , J. Meng

We present a calculation of asymmetric nuclear matter properties in a relativistic Brueckner Hartree Fock framework. Following other calculations the components of the self-energies are extracted by projecting on Lorentz invariant…

Nuclear Theory · Physics 2008-11-26 F. de Jong , H. Lenske

We report the recent progress in relativistic mean-field (RMF) and beyond approaches for the low-energy structure of deformed hypernuclei. We show that the $\Lambda$ hyperon with orbital angular momentum $\ell=0$ (or $\ell>1$) generally…

Nuclear Theory · Physics 2019-09-04 J. M. Yao , H. Mei , K. Hagino , T. Motoba

A Quark-Meson Coupling (QMC) model is extended to finite nuclei in the relativistic mean-field or Hartree approximation. The ultra-relativistic quarks are assumed to be bound in non-overlapping nucleon bags, and the interaction between…

Nuclear Theory · Physics 2008-11-26 Peter G. Blunden , Gerald A. Miller

We evaluate the neutral current quasi-elastic neutrino cross section within two nuclear models: the SuSA model, based on the superscaling behavior of electron scattering data, and the RMF model, based on relativistic mean field theory. We…

Nuclear Theory · Physics 2014-01-27 R. Gonzalez-Jimenez , M. V. Ivanov , M. B. Barbaro , J. A. Caballero , J. M. Udias

Relativistic models can be successfully applied to the description of compact star properties in nuclear astrophysics as well as to nuclear matter and finite nuclei properties, these studies taking place at low and moderate temperatures.…

High Energy Physics - Phenomenology · Physics 2008-11-26 D. P. Menezes , C. Providencia , M. Chiapparini , M. E. Bracco , A. Delfino , M. Malheiro

In this article, we study the renormalization group equations of the Next-to-Minimal Supersymmetric Standard Model, and investigate universality conditions on the soft supersymmetry-breaking parameters at the Grand Unification scale. We…

High Energy Physics - Phenomenology · Physics 2022-10-19 David G. Cerdeno , Valentina De Romeri , Victor Martin-Lozano , Keith A. Olive , Osamu Seto

We employ Relativistic Mean Field (RMF) model with NL3 parametrization to investigate the ground state properties of superheavy nucleus, Z = 124. The nuclei selected (from among complete isotopic series) for detailed investigation show that…

Nuclear Theory · Physics 2015-10-29 M. S. Mehta , Harvinder Kaur , Bharat Kumar , S. K. Patra

Faithfully representing chemical environments is essential for describing materials and molecules with machine learning approaches. Here, we present a systematic classification of these representations and then investigate: (i) the…

Materials Science · Physics 2020-10-28 Berk Onat , Christoph Ortner , James R. Kermode

Neural Radiance Field (NeRF) research has attracted significant attention recently, with 3D modelling, virtual/augmented reality, and visual effects driving its application. While current NeRF implementations can produce high quality visual…

Computer Vision and Pattern Recognition · Computer Science 2023-06-02 Adrian Azzarelli , Nantheera Anantrasirichai , David R Bull

The standard relativistic mean-field model is extended by including dynamical effects that arise in the coupling of single-nucleon motion to collective surface vibrations. A phenomenological scheme, based on a linear ansatz for the energy…

Nuclear Theory · Physics 2009-11-07 D. Vretenar , T Niksic , P. Ring

The problem of establishing out-of-sample bounds for the values of an unkonwn ground-truth function is considered. Kernels and their associated Hilbert spaces are the main formalism employed herein along with an observational model where…

Machine Learning · Computer Science 2022-09-13 Paul Scharnhorst , Emilio T. Maddalena , Yuning Jiang , Colin N. Jones

Over the past few years, trace regression models have received considerable attention in the context of matrix completion, quantum state tomography, and compressed sensing. Estimation of the underlying matrix from regularization-based…

Machine Learning · Statistics 2015-04-24 Martin Slawski , Ping Li , Matthias Hein

We present a new realization of relativistic hadronic me- chanics and its underlying iso-Poincar'e symmetry specifically constructed for nuclear physics which: 1) permits the representation of nucleons as ex- tended, nonspherical and…

General Physics · Physics 2008-02-03 Ruggero Maria Santilli
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