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 investigates the spectroscopy and seniority properties of lead isotopes 211, 213, and 215, specifically comparing energy splittings and isomeric states for valence neutrons in the g9/2 shell while also considering configurations beyond this shell.
This paper employs cluster effective field theory to analyze N -delayed decay spectra and -C scattering data, revealing that while the spectra are individually compatible with a common strong continuum, they cannot be simultaneously reproduced by a single minimal weak-current amplitude, thereby highlighting specific experimental and model sensitivities for future unified analyses of the CO reaction.
This paper demonstrates that in the outer cores of neutron stars, locally attractive couplings between neutron superfluids and proton superconductors can lead to the formation of "fluxtube bouquets" where multiple magnetic fluxtubes bind to a single neutron vortex, and confirms the existence of a type-1.5 regime characterized by short-range repulsive and intermediate-range attractive interactions that drive fluxtube clustering even in the absence of phase-gradient entrainment.
This paper develops a systematic effective field theory framework to rigorously separate Standard Model nuclear effects from potential new physics in isotope shift measurements, revealing that the commonly used term arises only at second-order perturbation theory and deriving a long-range potential from nuclear polarizability to enable more precise tests of King non-linearity and nuclear structure.
This paper proposes a novel space-time description of proton structure using impact-parameter Ioffe-time distributions, which enables the first lattice QCD calculation of Ioffe-time-dependent mean squared proton radii and the subsequent extraction of the Compton form factor.
This paper presents the first dispersive extraction of light-meson resonance poles from scattering data using S-matrix informed neural networks (SINNs) that enforce fundamental physical principles like unitarity and analyticity without relying on specific amplitude parametrizations.
This paper introduces S-matrix informed neural networks (SINNs) combined with a novel data selection procedure to reconstruct scattering amplitudes from inconsistent experimental data while strictly adhering to physical first principles, demonstrated through a robust application to scattering that yields reusable amplitudes with correlated uncertainties.
This paper presents the first self-consistent theoretical study of competing and reactions using a modified potential cluster model, determining a significantly higher transition temperature of where proton capture overtakes neutron capture and demonstrating substantial shifts under non-thermal Tsallis statistics.
This paper summarizes recent STAR collaboration results from twenty-five years of RHIC operation, highlighting key findings in four areas: exotic-state searches and ultra-peripheral collisions, the onset of quark-gluon plasma signatures in small systems, radial flow and its fluctuations, and polarization and spin correlations.
This paper demonstrates that spatially varying matter potentials can suppress or significantly delay fast neutrino flavor conversions in supernovae, revealing a critical variation rate beyond which instabilities are stabilized and highlighting the necessity of accounting for matter inhomogeneity in supernova models.