960 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 employs a spherical Skyrme-force Hartree-Fock BCS quasi-particle random phase approximation to map the landscape of nuclear deformation softness across the nuclide chart, diagnosing ground-state instabilities and calculating multipole polarizability to reveal the interplay between intrinsic nuclear shapes, shell structure, and low-lying collective dynamics.
This paper constructs a linear parity doublet model for octet baryons that, by incorporating the representation containing "bad" diquarks alongside the dominant representation, successfully reproduces the ground-state mass hierarchy (including the - ordering) and predicts the spectrum of excited states up to 2.5 GeV.
This paper presents a global, semi-classical framework for calculating -decay half-lives of even-even nuclei by determining the Woods-Saxon potential depth through the Bohr-Sommerfeld quantization condition, achieving accuracy comparable to experimental data while enabling efficient large-scale predictions.
This paper resolves the hyperon puzzle in neutron stars by demonstrating that the $SU(3)$ parity doublet model, through chiral symmetry restoration and a large chiral invariant mass, naturally delays hyperon emergence to densities where quark deconfinement occurs, thereby preserving the equation of state's stiffness without requiring ad hoc repulsive interactions.
This paper establishes a new benchmark for heavy-quark TMD resummation at the LHC by developing a framework that combines SCET and HQET to achieve NNLL' accuracy for the azimuthal decorrelation of boosted top quark pairs, a feat made possible by the first extraction of the two-loop ultra-collinear function.
This paper demonstrates that the systematic quenching observed in nucleon-removal reaction cross sections arises from dynamical effects—specifically non-additive interactions and polarization potentials omitted in standard additive models—rather than genuine nuclear-structure correlations, a conclusion validated by four-body CDCC calculations for Li.
This paper provides an introduction and overview of light meson form factors, covering their classical and quantum field theory foundations, main theoretical methods, and specific discussions on pion, kaon, eta, and eta' form factors.
This study investigates the impact of early-time charm quark dynamics on D-meson observables in Pb+Pb collisions at TeV using the IP-Glasma+MUSIC+UrQMD framework and finds that despite significant momentum broadening in the pre-equilibrium stage, the nuclear modification factor () and elliptic flow () of D-mesons remain only weakly sensitive to these early interactions.
This study employs a refined AMPT transport model with adjusted beauty quark mass and flavor-specific coalescence parameters to successfully reproduce LHCb and ALICE data on beauty and non-prompt charm hadron production in 13 TeV $pp$ collisions, offering new insights into heavy quark dynamics and hadronization mechanisms in small collision systems.
This paper extends the shell-model Monte Carlo method to actinides, successfully calculating their nuclear state and level densities in large model spaces and demonstrating strong agreement with experimental data while revealing significant enhancements over mean-field predictions.