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Related papers: Quantified limits of the nuclear landscape

200 papers

An experimentally constrained equation of state of neutron-rich matter is fundamental for the physics of nuclei and the astrophysics of neutron stars, mergers, core-collapse supernova explosions and the synthesis of heavy elements. To this…

Nuclear Theory · Physics 2018-01-03 T. Aumann , C. A. Bertulani , F. Schindler , S. Typel

The simulation of heavy element nucleosynthesis requires input from yet-to-be-measured nuclear properties. The uncertainty in the values of these off-stability nuclear properties propagates to uncertainties in the predictions of elemental…

High Energy Astrophysical Phenomena · Physics 2024-04-08 M. R. Mumpower , T. M. Sprouse , J. M. Miller , K. A. Lund , J. Cabrera Garcia , N. Vassh , G. C. McLaughlin , R. Surman

Quantum networks distributed over distances greater than a few kilometers will be limited by the time required for information to propagate between nodes. We analyze protocols that are able to circumvent this bottleneck by employing…

The information entropy of a nuclear density distribution is calculated for a number of nuclei. Various phenomenological models for the density distribution using different geometry are employed. Nuclear densities calculated within various…

Nuclear Theory · Physics 2015-06-26 G. A. Lalazissis , S. E. Massen , C. P. Panos , S. S. Dimitrova

Understanding how nuclear size evolves with the number of protons and neutrons tests our models of strongly interacting matter. The nuclear charge (and proton) radii accessible through electromagnetic probes carry fundamental information on…

Nuclear Theory · Physics 2026-03-20 A. J. Smith , K. Godbey , C. Hebborn , W. Nazarewicz , F. M. Nunes , P. -G. Reinhard

We have calculated the masses, deformations, and other properties of 8979 nuclei ranging from oxygen-16 to Z = 136, A = 339 and extending from the proton drip line to the neutron drip line on the basis of the 1992 version of the…

Nuclear Theory · Physics 2007-05-23 J. Rayford Nix , Peter Moller

The equation of state of the neutron-star outer crust is sensitive to nuclear mass predictions and provides a direct connection to properties of nuclei throughout the nuclide map, including those beyond experimental reach. We quantify the…

Nuclear Theory · Physics 2026-05-12 P. S. Koliogiannis , N. Paar

To improve the theoretical prediction power for synthesizing superheavy elements beyond Og, a Bayesian uncertainty quantification method is employed to evaluate the uncertainty of the calculated evaporation residue cross sections (ERCS) for…

Nuclear Theory · Physics 2024-10-24 Yueping Fang , Zepeng Gao , Yinu Zhang , Zehong Liao , Yu Yang , Jun Su , Long Zhu

Neutron-skin thicknesses provide a sensitive probe of the isovector sector of the nuclear equation of state and its density dependence, commonly characterized by the symmetry-energy slope parameter L. A wide variety of experimental and…

Nuclear Theory · Physics 2026-02-05 A. Azizi , C. A. Bertulani , C. Davila

A small number of naturally occurring, proton-rich nuclides (the p-nuclei) cannot be made in the s- and r-process. Their origin is not well understood. Massive stars can produce p-nuclei through photodisintegration of pre-existing…

Solar and Stellar Astrophysics · Physics 2013-05-14 T. Rauscher , N. Dauphas , I. Dillmann , C. Fröhlich , Zs. Fülöp , Gy. Gyürky

In this contribution, we briefly present the equation-of-state modelling for application to neutron stars and discuss current constraints coming from nuclear physics theory and experiments. To assess the impact of model uncertainties, we…

High Energy Astrophysical Phenomena · Physics 2023-11-14 A. F. Fantina , F. Gulminelli

Novel method of calculating Nuclear Statistical Equilibrium is presented. Basic equations are carefully solved using arbitrary precision arithmetic. Special interpolation procedure is then used to retrieve all abundances using tabulated…

Solar and Stellar Astrophysics · Physics 2012-06-27 A. Odrzywolek

Generative modeling using samples drawn from the probability distribution constitutes a powerful approach for unsupervised machine learning. Quantum mechanical systems can produce probability distributions that exhibit quantum correlations…

Quantum Physics · Physics 2022-10-07 Xun Gao , Eric R. Anschuetz , Sheng-Tao Wang , J. Ignacio Cirac , Mikhail D. Lukin

Experimental studies of nuclear fission induced by fusion, transfer, spallation, fragmentation, and electromagnetic reactions in combination with state-of-the-art calculations are successful to investigate the nuclear dissipation mechanism…

Nuclear Theory · Physics 2023-04-12 J. L. Rodríguez-Sánchez , J. Cugnon , J. -C. David , J. Hirtz , A. Kelić-Heil , I. Vidaña

The properties of hyperheavy nuclei and the extension of nuclear landscape to hyperheavy nuclei are extensively studied within covariant density functional theory. Axial reflection symmetric and reflection asymmetric relativistic…

Nuclear Theory · Physics 2020-03-17 S. E. Agbemava , A. V. Afanasjev , A. Taninah , A. Gyawali

Eclipsing binaries provide one of the most direct mechanisms for measuring stellar properties such as mass and radius, but historically, determining these properties has been non-trivial and computationally prohibitive. As such, only a…

The crust-core phase transition of neutron stars is quantitatively studied within a unified meta-modelling of the nuclear Equation of State (EoS). The variational equations in the crust are solved within a Compressible Liquid Drop (CLD)…

Nuclear Theory · Physics 2019-12-04 Thomas Carreau , Francesca Gulminelli , Jérôme Margueron

We investigate even-even nuclei in the $A\sim70$ mass region within the framework of the proton-neutron quasi-particle random phase approximation (\mbox{pn-QRPA}) and the interacting boson model-1 (\mbox{IBM-1}). Our work includes…

Nuclear Theory · Physics 2016-03-02 Jameel-Un Nabi , Mahmut Böyükata

When modeling a probability distribution with a Bayesian network, we are faced with the problem of how to handle continuous variables. Most previous work has either solved the problem by discretizing, or assumed that the data are generated…

Machine Learning · Computer Science 2013-02-21 George H. John , Pat Langley

In this review we discuss the current status of research in nuclear physics which is being carried out in different centers in the World. For this purpose we supply a short account of the development in the area which evolved over the last…

Nuclear Theory · Physics 2017-03-22 C. A. Bertulani , M. S. Hussein
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