1104 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.
Based on the first measurement of hypertriton production in proton-proton collisions at the LHC, this study confirms the hypertriton's halo structure and estimates the hyperon's separation from its deuteron core to be approximately 9.54 fm using the nuclear coalescence framework.
This paper investigates how time-correlated thermal noise with power-law decay, modeled via a generalized Langevin equation with Caputo fractional derivatives, significantly influences heavy quark dynamics in quark-gluon plasma by analyzing momentum correlations, displacement, kinetic energy, and higher-order transverse-momentum moments.
This study investigates how the neutron skin thickness in lead nuclei influences the space-time evolution of the quark-gluon plasma in 2.76A TeV Pb+Pb collisions at the LHC, finding that it significantly enhances initial spatial anisotropy and elliptic flow, particularly in peripheral collisions and at lower beam energies.
This review examines how machine learning techniques, particularly artificial neural networks, overcome the model-space truncation limitations of *ab initio* nuclear structure theory by learning convergence patterns to enable high-precision extrapolations of nuclear observables with improved uncertainty estimates.
This chapter provides an introductory overview of relativistic mean-field models, detailing their theoretical foundations and applications in constructing equations of state for dense neutron-rich matter to bridge nuclear experiments with astrophysical observations of neutron stars.
This paper introduces a systematic hierarchy of $GW$-based approximations that progressively reduce the dynamical content of the self-energy to bridge fully dynamical methods with purely static Hamiltonians, demonstrating that consistently derived partially static schemes and a novel static Hermitian self-energy can accurately predict molecular ionization energies while significantly simplifying computational complexity.
This paper theoretically investigates the coherent propagation of resonant Bessel beams through Th-doped CaF crystals, demonstrating that their unique orbital angular momentum and non-uniform profiles can enhance excitation control and reveal the spatial distribution of nuclear quantization axes via nuclear forward scattering.
This paper establishes a quantum formalism for real-time particle evolution in the Glasma by linking classical Wong's equations to Heisenberg equations, deriving distinct equations of motion for gauge-invariant kinetic and canonical momenta, and demonstrating that a transverse Coulomb gauge condition optimizes numerical accuracy for future quantum implementations.
This paper proposes that combining the analysis of neutrinoless double-beta decay transitions to both ground and excited states in large liquid xenon detectors can significantly enhance discovery sensitivity and mitigate nuclear matrix element uncertainties in the search for the inverted neutrino mass ordering.
This study utilizes the UrQMD model to investigate resonance production and suppression in p+p and Ar+Sc collisions at SPS energies, finding that while the model captures essential dynamical features, it fails to quantitatively reproduce the strong resonance suppression observed in central collisions by NA61/SHINE.