931 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 presents a novel theoretical framework combining deformed microscopic optical potentials with angular-dependent emission mechanisms to accurately predict the half-lives of oblate deformed proton emitters like Lu, revealing unprecedented angular emission phenomena and validating the model's predictive power for exotic nuclear decays.
This paper utilizes effective field theory and a Hubbard-Stratonovich transformation to factorize quarkonium production matrix elements in NRQCD into state-independent gluon correlators and wavefunctions at the origin, thereby verifying existing relationships for S-wave states, identifying new P-wave contributions, and restoring universality to TMD soft transition functions.
This paper demonstrates that optimizing the harmonic oscillator basis frequency and size within covariant density functional theory using point coupling functionals significantly enhances the accuracy of calculated binding energies, fission barriers, and single-particle states for moderately sized fermionic systems, including the successful reproduction of neutron halo densities.
This paper introduces DREAM, a differentiable emulation strategy that enables efficient, gradient-based Bayesian calibration of expensive nuclear models by compressing legacy parameter-dependent operators offline, thereby allowing Hamiltonian Monte Carlo methods to rapidly converge on high-dimensional posteriors with exact likelihood gradients at minimal computational cost.
This paper benchmarks functional-renormalization-group density functional theory (FRG-DFT) against the exact thermodynamics of the single-site Bose-Hubbard model, demonstrating that incorporating a specific self-interaction correction and using a maximum-entropy closure enables the accurate derivation of ab initio density functionals for quantum many-body systems.
This paper presents a complete next-to-leading-order calculation of QED radiative corrections to elastic electron-proton and muon-proton scattering, with a specific focus on the structure-dependent two-photon-exchange diagrams to address discrepancies like the proton radius puzzle and test lepton universality.
This paper demonstrates that relativistic heavy-ion collisions, simulated via the PHSD transport approach and CATS correlation analysis, provide a superior environment compared to proton-proton collisions for studying charmed-meson interactions and probing exotic hadronic states through femtoscopic correlations due to enhanced charm production, reduced relative momenta, and suppressed initial-state effects.
This paper proposes an RG-improved effective field theory framework that reorganizes short-range dynamics by integrating out meson-exchange degrees of freedom, successfully describing the deeply bound dibaryon as a bound state with a binding energy consistent with experimental data and large- expectations.
By employing resummation schemes to derive analytical rates for radiative energy loss in evolving backgrounds, this paper demonstrates that strong jet quenching requires a medium equilibration time longer than its mean free path and reveals that initial-state evolution with weak jet coupling typically enhances azimuthal asymmetry for a given suppression factor.
This paper demonstrates that neural networks can generate highly expressive trial wave functions for light nuclei using chiral two- and three-body interactions, achieving ground-state energies within 0.45% of Green's Function Monte Carlo results and representing a 91% improvement over standard variational Monte Carlo methods.