1179 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 investigates the properties of the Roper resonance and nucleon-to-Roper electromagnetic transition amplitudes by analyzing quark degrees of freedom at high momentum transfer and incorporating baryon-meson contributions to explain low-to-intermediate momentum transfer data.
This paper demonstrates that strong decays of hadrons significantly alter the yields and correlations of stable particles in a thermal hadron gas model, thereby substantially impacting measurements of net quantum number cumulants and balance functions that are crucial for identifying the QCD critical point and determining chemical susceptibilities.
This study utilizes the Jet AA Microscopic Transport Model to demonstrate that -clustering in nuclei enhances geometric compactness and radial observables like proton mean transverse momentum, as well as flow magnitudes at high participant numbers, thereby offering complementary probes for investigating nuclear structure in low-energy collisions at CSR and HIAF energies.
This study utilizes Monte-Carlo PACE4 simulations to model the interaction of 108–170 MeV 20Ne beams with an 181Ta target, concluding that while reaction mechanisms and cross-sections were analyzed, this specific interaction is not a promising route for producing clinically useful neutron-deficient radioisotopes for nuclear medicine.
This paper presents two key enhancements to the linear Boltzmann transport model—integrating medium interactions directly into vacuum parton showers and incorporating color flow information—to achieve a unified and accurate description of hadron and jet suppression in ultra-relativistic heavy-ion collisions.
This study proposes a Bayesian-optimized approach to constrain -ray strength functions and nuclear level densities, successfully inferring cross sections for unstable Gd isotopes with significantly reduced uncertainty and revealing that the resulting enhanced reaction rates substantially increase Gd abundance in -process nucleosynthesis simulations.
This paper utilizes a form-invariant algebraic model to investigate the internal structure of and mesons by calculating their light-front wavefunctions, valence-quark generalized parton distributions (GPDs), and other related physical observables.
This paper presents a scalable phase-space simulation method that uses a statistical ensemble of mean-field trajectories to emulate the continuous-time evolution of up to several thousand qubits with quadratic computational complexity, providing accurate one-qubit observables across various Ising model configurations.
This paper investigates how Lorentz-violating wormhole geometries act as frequency-dependent effective media, using a geometric-optical framework to demonstrate how spacetime curvature and Lorentz violation control the transmission, reflection, and confinement of massless scalar waves.
This paper presents an analytical framework using a square-well potential to model short-range nucleon-nucleon interactions, providing a more accurate tool for proton-proton femtoscopy than the standard Lednicky-Lyuboshits approximation, especially for small source sizes.