1680 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.
Using the Antisymmetrized Molecular Dynamics model to analyze transverse momentum spectra of light clusters in central collisions at 56 and 140 MeV/nucleon, this study demonstrates that in-medium nucleon-nucleon scattering cross-sections experience a stronger reduction at the lower incident energy compared to the higher one.
This study demonstrates that the eigen-microstate approach (EMA) serves as a robust, background-independent method for identifying critical fluctuations in relativistic heavy-ion collisions by effectively filtering non-critical correlations and capturing the fractal nature of criticality through characteristic eigenvalue patterns and finite-size scaling behaviors.
This paper establishes a unified theoretical framework for spin-1 particles by discussing spin density matrix bases, introducing equilibrium distributions, and formulating perfect spin hydrodynamics that parallels the existing description for spin-1/2 particles.
This paper presents a physics-informed Bayesian machine learning framework that leverages fission model priors and cumulative yield constraints to accurately evaluate energy-dependent independent fission product yields despite the scarcity and imperfection of experimental nuclear data.
This paper calculates the relativistic wave function of the He nucleus within Light-Front Dynamics using a one-boson exchange model without potential approximation, revealing how relativistic effects introduce new spin-isospin components and variable dependencies absent in the non-relativistic limit.
This paper presents a physics-based method for generating probability tables by calculating fluctuating cross sections using a Gaussian Orthogonal Ensemble -matrix model, validating the approach with U and Pu to show qualitative agreement with conventional Breit-Wigner formalism while accounting for statistical uncertainties and -matrix unitarity.
This study investigates the macroscopic properties and universal relations of proto-neutron stars within Energy-Momentum Squared Gravity, revealing that while thermodynamic variables and the modified gravity parameter significantly alter individual stellar characteristics, the underlying correlations between these properties remain robust and largely unaffected.
This paper investigates radial oscillations in nucleonic, quarkyonic, and hybrid neutron stars by incorporating out-of-equilibrium chemical effects, revealing that this approach avoids physical singularities, elucidates dynamic mode responses, and extends stable stellar branches to accommodate higher-mass configurations like PSR J0740+6620.
This study investigates the impact of Energy-Momentum Squared Gravity (EMSG) on neutron star properties across various equations of state, utilizing numerical solutions and observational constraints to determine how the theory's free parameter influences mass-radius relations, phase transitions, and the fundamental-mode (-mode) oscillation frequency.
This paper introduces SPARKX, an open-source Python package designed to streamline and enhance the analysis of relativistic kinematics in heavy-ion collision experiments by providing a comprehensive, multi-format toolkit that integrates with major simulation frameworks like SMASH and JETSCAPE.