1122 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 study presents the most accurate test to date of isospin symmetry in the mass system by utilizing precision Coulomb excitation measurements of Zn, Ga, and Ge at RIKEN to confirm a linear relationship between their proton matrix elements, a finding supported by large-scale shell-model calculations.
This study demonstrates that deep learning models, particularly simulation-based inference with conditional normalizing flows, can effectively extract nuclear quadrupole and hexadecapole deformation parameters from initial-state configurations in heavy-ion collisions by leveraging multi-event averaging to suppress stochastic fluctuations and provide robust uncertainty quantification.
This paper demonstrates that in coupled-channel dynamics, the conventional method of assessing a channel's importance by deleting it is misleading because it conflates intrinsic contributions with model-space reorganization, whereas a basis-preserving decoupling approach reveals that the true contribution is better tracked by the dynamic polarization potential and often exhibits quantum anti-synergy.
This study measures the dipole response of the neutron-rich nucleus He, revealing that its low-energy dipole strength is dominated by two-neutron emission rather than four-neutron decay, and provides experimental values for total dipole strength and polarizability that are compared with state-of-the-art theoretical models.
Using a Monte Carlo event generator with -factorization, the study demonstrates that the observed stronger-than-linear growth of D-meson yields in high-multiplicity pp and pPb collisions is reproduced by various initial-state spatial distributions, indicating that this observable is insufficient for distinguishing the specific matter geometry within the proton.
The paper introduces **qcombo**, a Python package that automates the symbolic evaluation of commutators for general quantum many-body operators using the generalized Wick theorem, thereby streamlining complex analytical derivations for methods like the in-medium similarity renormalization group (IMSRG) in nuclear physics and quantum chemistry.
This paper presents an automated, GPU-accelerated framework that computes the zero-temperature nuclear equation of state up to fifth-order many-body perturbation theory by evaluating 840 diagrams with controlled uncertainties, enabling systematic convergence studies in neutron and symmetric nuclear matter using chiral interactions.
This paper proposes and analyzes a novel random matrix model that successfully describes the QCD Kondo phase by incorporating both chiral and spin symmetries, revealing three distinct phases including a coexistence state with an altered Kondo condensate pairing, and deriving their corresponding low-energy effective theories and partition functions.
This paper validates the robustness of the X-PSI pulse profile modeling framework for PSR J0740+6620 by demonstrating that both MultiNest and UltraNest sampling algorithms yield accurate, unbiased parameter estimates and consistent credible intervals on both synthetic and real NICER/XMM-Newton data.
This paper introduces the spectral BBGKY hierarchy, a scalable and numerically tractable reformulation of the conventional BBGKY framework that reduces dimensionality and enables high-accuracy, deterministic computation of nonlinear collision integrals to study multiparticle correlations and early thermalization in relativistic heavy-ion collisions.