1634 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 reports the first observation of weak magnetism in free neutron decay by demonstrating that combining -asymmetry measurements with neutron lifetime and superallowed decay data lifts the parameter degeneracy, yielding a result that agrees with the conserved vector current prediction and excludes the absence of weak magnetism at a significance level exceeding .
This paper proposes energy-energy correlators (EECs) of soft hadrons as novel observables that, by separating disconnected mean-flow contributions from connected correlations, effectively probe collective flow and non-flow correlations across various collision systems from p+p to Pb+Pb.
This paper demonstrates that strong magnetic fields in non-central heavy-ion collisions induce a significant directional anisotropy in the equation of state and higher-order electric-charge fluctuations of hadronic matter, offering a measurable experimental signature via the reaction-plane dependence of the susceptibility ratio .
This study quantifies how uncertainties in nuclear level density (NLD) and gamma-ray strength function (GSF) prescriptions within the Hauser-Feshbach framework propagate to r-process abundance predictions, revealing that NLD variations—particularly in cold r-process regimes and intermediate electron fractions—significantly alter final elemental abundances and necessitate improved experimental and theoretical constraints.
This paper demonstrates that the complex Langevin method can successfully overcome the sign problem in auxiliary-field quantum Monte Carlo calculations for small nuclear shell model systems at finite temperature, accurately reproducing exact energy results and offering a promising complementary approach to variational methods for larger systems.
This paper demonstrates that the significant sensitivity of adiabatic distorted-wave approximation (ADWA) calculations for deuteron stripping to the choice of neutron-proton interaction stems from the representation dependence of the short-range kinetic energy rather than physical observables, a limitation that is largely resolved by more exact theoretical treatments.
This paper presents a machine-learning-based generative surrogate for charged-current neutrino-nucleus scattering that can be directly calibrated to experimental differential cross sections without event-level data, thereby improving predictions for unmeasured observables and maintaining applicability across different neutrino fluxes.
This paper extends the Sill distribution to arbitrary partial waves by modifying the propagator's mass term to correctly implement threshold behavior while preserving exact normalization, successfully benchmarking the approach with the -wave description of the resonance.
This paper presents a closed-form, algebraic construction of orbital coefficients of fractional parentage for three identical particles in the harmonic oscillator Jacobi basis that eliminates the need for numerical diagonalization of permutation operators, thereby reducing computational complexity and achieving exact symmetry classification with minimal numerical error.
This paper summarizes the current status of global analyses for model-independent nuclear parton distribution functions (nPDFs), emphasizing the need to incorporate diverse datasets and theoretical calculations to accurately capture nuclear structure and uncertainties, while critically evaluating fit quality indicators and the often-overlooked -dependence in the context of LHC heavy-ion collisions.