1396 papers
Nuclear theory sits at the fascinating intersection of particle physics and the forces that hold our universe together. This field explores how protons and neutrons bind inside atomic nuclei, seeking to understand the fundamental interactions that govern matter at its most dense and energetic levels. While the mathematics involved can be incredibly complex, the core questions are deeply human: how does the universe function at its smallest scales, and what happens when we push matter to its limits?
At Gist.Science, we make these cutting-edge discoveries accessible by processing every new preprint published in this category on arXiv. Our team transforms dense academic manuscripts into clear, plain-language summaries alongside detailed technical overviews, ensuring that both experts and curious readers can grasp the latest breakthroughs without getting lost in the jargon. Below are the latest papers in nuclear theory, distilled and ready for you to explore.
This paper demonstrates that neural network-based trial wave functions, designed to efficiently incorporate three-body interactions and interparticle correlations, significantly improve the accuracy of variational Monte Carlo calculations for light nuclei, reducing ground-state energy deviations from Green's Function Monte Carlo results from 3.7% to 0.45% for tritium.
This paper analyzes the convergence of the hyperspherical adiabatic basis for the $ppp$ correlation function at energies beyond the correlation peak, demonstrating that including three-body states up to is essential for accurately describing the correlation tail and achieving excellent agreement with experimental data.
This paper presents a generalized equation-of-motion framework that extends beyond traditional independent-particle references to incorporate correlated many-body states, enabling a consistent and unified description of ground-state correlations and collective nuclear excitations using chiral nuclear Hamiltonians within an *ab initio* context.
This paper demonstrates that defining currents via free-nucleon creation and annihilation operators eliminates Dirac algebra ambiguities in relativistic mean field models, while showing that remaining genuine ambiguities arising from the mean field dependence can be resolved through a consistent background-field dependent current, thereby removing previously reported large discrepancies in coherent pion photoproduction.
This paper presents fully self-consistent numerical calculations of temperature and velocity-dependent S pairing gaps, chemical potentials, and the entrainment matrix for superfluid neutron-star cores using the Brussels-Montreal BSk24 functional, thereby providing consistent microscopic inputs for astrophysical modeling.
This paper derives accurate analytical formulas for the threshold conditions and maximum heat release from exothermic electron captures in magnetar crusts, accounting for Landau-Rabi quantization across all magnetic field strengths and validating the results with numerical calculations based on the HFB-24 nuclear model.
This paper investigates the role of electron captures in magnetar shallow heating using nuclear measurements and the HFB-27 atomic mass model, finding results consistent with previous models and neutron-star cooling data.
This paper employs the semi-classical BPS Skyrme model to accurately compute electromagnetic and neutral current form factors for heavy nuclei using only a single global radial parameter, offering a robust alternative to phenomenological approaches that is crucial for reducing systematic uncertainties in precision neutrino experiments.
This paper proposes the Quarkyonic Quark-Meson Coupling (QQMC) model, which unites the dual quarkyonic model with the quark-meson coupling framework to describe nuclear and neutron matter across a wide density range, successfully resolving singular behaviors at the quark saturation density and reproducing observational data from neutron stars and heavy-ion collisions.
This paper presents a physics-informed neural-network framework that embeds the Balitsky-Kovchegov evolution equation to unbiasedly extract the nuclear dipole amplitude for Pb directly from experimental data, revealing a saturation scale consistent with geometric scaling and successfully predicting transverse-momentum ratios in various collision systems without system-dependent parameters.