1145 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 introduces an interpretable Kolmogorov-Arnold Network (KAN) hybrid model that significantly enhances nuclear mass prediction accuracy on small datasets and utilizes its transparency to identify systematic biases in existing theoretical models, particularly regarding proton numbers.
This paper systematically derives and numerically validates expressions for ten small- Transverse Momentum Dependent (TMD) distributions across various values using the McLerran-Venugopalan model, successfully establishing their large- limits, quantifying subleading corrections, and revealing an exact sum rule for gluon-gluon operators at .
This paper introduces an experimentally inspired method using Schmidt decompositions of the entanglement structure in Matrix Product State simulations to isolate and detect specific scattering channels, such as heavy particle production in the one-dimensional Ising field theory, without relying on prior knowledge of asymptotic particle wavefunctions.
This article reviews recent theoretical and experimental advancements in solar neutrino physics, covering standard models, potential new physics, measurement techniques, and future prospects for the next generation of neutrino experiments.
This paper employs the Gamow shell model in the coupled-channel formulation (GSMCC) with a cluster expansion to simultaneously describe the spectrum of Li and the elastic scattering reaction He(H, H)He.
This study employs the Gamow shell model with a translationally invariant Hamiltonian to investigate the behavior of continuum-coupling correlation energy for near-threshold states in Li and Be.
This study utilizes multistage Monte Carlo simulations to demonstrate that recoil-induced medium responses cause nonmonotonic flavor-dependent modifications in soft-drop-groomed observables of -tagged jets, establishing these hard substructures as powerful tools for probing jet-medium interactions in heavy-ion collisions.
This paper calculates the pion valence parton distribution function using a spectral function approach with phenomenological Light-Front wave functions, revealing that the observed intermediate-x behavior and limit are driven by a highly virtual cluster carrying most of the momentum with minimal residual mass, thereby linking the PDF's peak characteristics directly to its analytic behavior at .
This paper introduces the Python toolkit \texttt{nucleardatapy} to facilitate transparent and unified access to experimental nuclear data, astrophysical observations, and theoretical predictions, while demonstrating its utility through a meta-analysis of dense matter properties that aligns nuclear-physics constraints with gravitational-wave findings.
This paper introduces a momentum rescaling framework that explains the unexplained rise-and-fall pattern of radial flow fluctuations in the quark-gluon plasma by factorizing them into a kinematic component driven by spectral shape transitions and a dynamical component that reveals significant medium-dependent deviations in LHC and RHIC collisions.