1401 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 article explores the physics challenges involved in bridging the quark parton model, which emerged from deeply inelastic scattering experiments, with its evolution into the full theory of quantum chromodynamics (QCD).
Using antisymmetrized molecular dynamics combined with the generator coordinate method, this study constrains the oblate-prolate shape mixing amplitudes in Si by reproducing experimental observables, revealing a dominant oblate component in the ground state and establishing an upper limit for the inter-band E0 transition strength.
This paper reviews and advocates for Magnetic-Field-Independent Regularization (MFIR) and the Medium Separation Scheme (MSS) as essential frameworks for studying magnetized dense quark matter, demonstrating that these methods eliminate unphysical artifacts found in traditional schemes and reveal that superconducting phases persist at zero temperature even under strong magnetic fields.
This paper reveals that systematic shifts in inferred neutron star equation of state parameters with varying observational precision arise from nonlinear filtering of radius measurements through previously unidentified, nearly universal inverse mappings between stellar radius and empirical EOS parameters.
This paper presents and validates an improved strength-function method based on Lanczos iterations that enables efficient and accurate calculation of two-neutrino double-beta-decay nuclear matrix elements without requiring full diagonalization, thereby facilitating the assessment of neutrinoless double-beta-decay rates and higher-order decay treatments.
This paper demonstrates that interpretable neural networks incorporating Wigner's SU(4) and Elliott's SU(3) symmetries not only achieve competitive accuracy in predicting global nuclear masses but also reveal that these fundamental symmetries govern binding energies across the entire nuclear chart, offering crucial physical insights into phenomena like symmetry restoration near the neutron dripline.
This study demonstrates that using the similarity renormalization group to evolve realistic nucleon-nucleon interactions to lower resolution scales significantly reduces the number of qubits and entanglement required to accurately estimate the deuteron binding energy on noisy quantum hardware via the variational quantum eigensolver.
This paper investigates odd-even staggering in large, harmonically trapped unitary Fermi gases by demonstrating that the extra fermion in odd-numbered systems forms an edge-localized quasiparticle, a phenomenon successfully described through both large- BdG theory and large-charge EFT, yielding a universal scaling law for the splitting energy that is confirmed by numerical calculations.
This paper presents the capabilities of the MUSES Calculation Engine's *Calliope* version to compute and thermodynamically merge diverse equations of state for heavy-ion collisions, demonstrating their application in relativistic viscous hydrodynamic simulations across various collision energies with movable critical points and critical scaling effects.
This paper demonstrates that multi-particle cumulant methods, applied to simulated heavy-ion collision data combining a hydro-like background with Pythia-8 jets and unfolded via Bayesian techniques, can accurately reconstruct differential jet azimuthal anisotropies to provide insights into high- dynamics.