1644 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 demonstrates that realistic microscopic wave functions for nuclear clusters and hypernuclei exhibit broader, non-Gaussian spatial distributions compared to Gaussian approximations, and proposes a mechanism using phenomenological two-body interactions to explain the underestimation of cluster yields in theoretical models.
Using the - fast-timing technique with the VENTURE array at VECC, Kolkata, researchers measured the lifetimes of low-lying negative-parity states in Gd to determine that their transition strengths are strongly hindered, providing evidence for weak dipole strength in octupole bands.
This paper investigates the role of the QCD scale anomaly in the nucleon's gravitational form factors using a scale-invariant Skyrme model, demonstrating that the inclusion of a scalar meson to represent gluonic contributions is crucial for satisfying nucleon stability conditions and accurately reproducing lattice QCD results for the form factor.
This paper proposes that rotating synchrotron radiation (RoSyRa) from a magnetized, rotating quark-gluon plasma generates a low-transverse-momentum photon spectrum with significant elliptic flow, offering a viable solution to the "direct photon puzzle."
This paper utilizes a Regge framework applied to high-energy polarized photoproduction data from GlueX to achieve the first complete determination of the vector and tensor couplings between the system and the , , and mesons.
This paper proposes a universal, concise, and extensible "ABC" naming scheme to classify light exotic nuclei () based on their distinct structural properties such as halos, Borromean configurations, and clusterisation.
This paper investigates the observed shift of the resonance peak in pion-proton femtoscopic correlations by applying a T-matrix approach within the Koonin-Pratt framework to reveal how the finite emission source induces off-shell dynamics, though the model's inability to fully reproduce experimental correlation strength and the absence of a predicted high-momentum dip suggest the need for more complex source descriptions beyond a simple spherical Gaussian approximation.
This paper proposes a perturbative method for calculating bound states in QED and QCD using canonical quantization in the temporal gauge, demonstrating how instantaneous potentials arise from Gauss' law constraints to enable perturbative hadron calculations and explain spontaneous chiral symmetry breaking.
This paper introduces a Physics-Informed Neural Ensemble (PINE) model utilizing a Hierarchical Residual Decomposition framework to systematically filter chaotic many-body signatures from nuclear mass residuals, demonstrating that hierarchical neural learning can suppress quantum-chaotic spectral rigidity and drive deviations toward an uncorrelated white-noise limit.
This paper presents a generalized Brownian motion model consistent with the GKSL equation to derive an analytical expression for steady-state heat flow that satisfies Fourier's law and captures thermal boundary resistance, while also revealing unique transient heat current behaviors and continuous, nowhere-differentiable trajectories that distinguish it from standard models.