931 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 on the development and application of the HF-NRevo framework, which provides a consistent perturbative description of heavy-flavor fragmentation for -wave quarkonia and fully heavy tetraquarks, enabling new investigations into medium effects in heavy-ion collisions and the intrinsic charm content of the proton at future collider facilities.
This paper proposes concrete experimental protocols to realize and probe excited-state quantum phase transitions in a single trapped ion system by identifying specific critical states within the Extended Rabi Model, defining witness observables, and simulating their scaling behaviors and dynamics under both unitary and open-system conditions.
The East Lansing Model presents a global, Bayesian uncertainty-quantified optical potential for neutrons and protons that utilizes a novel asymmetry-dependent parameterization calibrated with (n,n), (p,p), and (p,n) experimental data to significantly reduce extrapolation uncertainties toward the proton and neutron driplines.
This paper reviews recent advances in lattice QCD calculations of hadron structure, specifically for pions, kaons, and nucleons, highlighting how these theoretical developments provide essential insights to inform the scientific agenda of the Electron-Ion Collider.
This paper demonstrates that a universal Hagedorn temperature derived from string dynamics successfully describes the hadron spectra and thermodynamics of all quark flavors, including heavy charmed hadrons, without requiring additional parameters beyond current quark masses.
This study utilizes the string-melting AMPT model to demonstrate that in symmetric nuclear collisions at 200 GeV, charge-dependent directed flow splitting exhibits a distinct baryon-meson dichotomy driven by transported quarks during the partonic phase, with significant system-size dependence at high transverse momentum that establishes a baseline for interpreting electromagnetic field effects.
This paper proposes a non-perturbative analytical framework for QCD based on a mass gap derived from tadpole/seagull terms, which yields a singular gluon propagator that explains color confinement, linear quark potentials, and scale violations by revealing a more complex dynamical and gauge structure in the QCD ground state than suggested by standard Lagrangian symmetries.
This paper benchmarks three exclusive nuclear ground-state shell models implemented in the NEUT neutrino event generator against recent JSNS measurements of missing energy from a monoenergetic neutrino beam, finding that spectral function models outperform relativistic mean field models and that accounting for missing energy thresholds allows all tested nuclear models to be statistically accepted.
This paper employs a Bayesian analysis of a general Walecka-type model to demonstrate that pure hadronic matter, through specific meson mixing, can naturally generate a peak in sound velocity—a feature often linked to phase transitions—thereby offering a new microscopic explanation for the structure of both medium and massive neutron stars without invoking exotic phases.
This paper presents a novel deep convolutional neural network-enhanced Bayesian global analysis of relativistic heavy-ion collisions that significantly reduces computational costs to constrain QCD matter properties, revealing a temperature-dependent shear viscosity plateau and non-zero bulk viscosity while confirming that hydrodynamic freeze-out occurs at the expected applicability limit.