1634 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 identifies negative diffusion as the intrinsic cause of numerical instabilities in the Functional Renormalization Group flow of the Quark-Diquark Model at low temperatures and high chemical potentials, and proposes a hyperdiffusion-based regularization scheme to stabilize the flow for reliable studies of color superconductivity and inhomogeneous phases.
This paper demonstrates that while the choice of hydrodynamic frame (Eckart vs. Landau--Lifshitz) significantly alters the numerical values of transport coefficients like thermal conductivity, physical observables such as sound attenuation remain invariant, underscoring the necessity of specifying the frame when comparing results across different theoretical and experimental contexts.
This study demonstrates that, within an idealized three-component framework, the morphology of neutron star glitch rises is sensitive to microphysical inputs like entrainment and mutual friction, allowing high-cadence timing observations of events like the 2016 Vela glitch to potentially constrain the internal dynamics and equation of state of neutron stars.
This paper employs gauge/string duality to model a system, demonstrating that its ground state can manifest as a hadronic molecule, a tetraquark, or a superposition depending on geometry, while also deriving asymptotic energy expressions and confirming the universality of string tension for multiquark configurations.
This paper introduces a GPU-accelerated Filon-type quadrature method that efficiently computes the oscillatory Hankel transforms of multi-Wilson-line correlators required for Color Glass Condensate cross-section calculations, significantly reducing runtime and enabling next-to-leading-order proton-nucleus and electron-ion scattering simulations beyond the correlation-limit approximation.
This paper addresses the inverse Feshbach problem by demonstrating that reconstructing a full Hamiltonian from a specific energy-dependent effective Hamiltonian reduces to solving coupled polynomial algebraic equations, a process shown to be feasible via computer-assisted symbolic manipulation for small values of .
This paper presents an alternative formulation called the enhanced Generator Coordinate Method (eGCM) that overcomes the flaws of previous implementations—specifically its inability to correctly describe interference and entanglement—to provide a robust microscopic framework for studying nuclear fission and many-nucleon transfer reactions.
This paper demonstrates that pion-catalyzed reactions, rather than nucleon coalescence or statistical hadronization, are the dominant mechanism for light (anti-)nuclei production in high-energy collisions, as evidenced by a relativistic kinetic model that successfully reproduces experimental pion-nucleus femtoscopic correlation data while other models fail.
This paper identifies significant deviations in high-energy tree-level scattering rates within thermal QCD compared to standard approximations, revealing that these discrepancies bias current jet-medium transport coefficient () constraints and providing a framework to quantify the resulting theoretical systematic uncertainty for Bayesian analyses in Monte Carlo simulations.
This paper revisits tree-level gluon-gluon scattering in thermal QCD to identify deviations from standard approximations, thereby establishing a framework for quantifying theoretical systematic uncertainties to improve Bayesian jet-medium Monte Carlo simulations.