951 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 study establishes an empirical relation between the binding energy of compact stars and the frequencies of their non-radial and oscillation modes for hadronic matter, while demonstrating that hybrid equations of state with sharp phase transitions cause deviations from this quasi-universal correlation.
Using the Skyrme particle-vibration coupling model, this study investigates the -decay of the pygmy dipole resonance in Pb to the low-lying state, revealing its predominantly isoscalar character and quantifying the non-negligible yet smaller contribution of complex 1p-1h configurations coupled to the phonon compared to the giant dipole and quadrupole resonances.
This paper demonstrates that kaon-decay-at-rest (KDAR) neutrinos enable coherent elastic neutrino-nucleus scattering measurements to extend beyond the strict coherent limit into the diffractive regime, offering a competitive and complementary method to electron scattering for precisely probing neutron skin thickness in various nuclei.
Using an improved Multi-Phase Transport model, this study demonstrates that the nuclear geometry and potential alpha clustering in O significantly influence anisotropic flows in O+O collisions at GeV, with the model successfully reproducing STAR data and establishing a baseline for future nuclear-structure investigations.
By analyzing helium abundance constraints in the kilonova AT2017gfo, this study infers that the binary neutron star merger remnant collapsed into a black hole within 20–30 ms, thereby ruling out numerous nuclear equation of state models and establishing tight upper limits on neutron star radii and maximum mass.
This paper derives and interprets the spatial density distributions of the axial-vector charge density for spin-1/2 systems using sharply localized wave packets in arbitrary Lorentz frames, while also examining the static approximation and its relation to Breit-frame distributions.
This paper presents semi-analytical solutions for viscous Gubser flow with conserved charges to benchmark numerical fluid simulations, demonstrating excellent agreement between these solutions and the newly developed CCAKE Smoothed Particle Hydrodynamics code.
This study demonstrates that the phase function method can efficiently and accurately construct - scattering wavefunctions for multiple partial waves using a single-term Morse potential, achieving results consistent with both two-term potential models and resonating-group method calculations without requiring Schrödinger equation solutions.
This paper presents a systematic relativistic mean-field analysis of two-particle-two-hole meson-exchange current contributions across 17 asymmetric nuclei, proposing a novel scaling prescription that accurately models nuclear responses for neutrino event generators while benchmarking against electron-scattering data.
This paper develops and validates an accurate, efficient three-body hyperspherical harmonics formalism combined with the R-matrix method to predict the properties of the two-neutron halo nucleus C, demonstrating that the projection method outperforms the supersymmetric approach in enforcing the Pauli principle while introducing algorithmic optimizations that significantly reduce computational costs.