1104 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.
Using high-precision lattice QCD calculations with controlled continuum extrapolations and gradient flow, this study determines the temperature dependence of shear and bulk viscosities in gluon plasma across the transition region, revealing that the shear viscosity ratio reaches a minimum near while the bulk viscosity ratio decreases monotonically with increasing temperature.
This paper demonstrates that a novel generalized relaxation time approximation introducing species-dependent viscous corrections significantly alters identified hadron yields and transverse momentum spectra in p-Pb and Pb-Pb collisions while preserving bulk flow descriptions, thereby offering new sensitivity for Bayesian inference without compromising existing constraints.
This study demonstrates that in high-energy oxygen-oxygen collisions at 5.36 TeV, the produced QCD matter only partially reaches local equilibrium, necessitating a core-corona framework rather than a purely hydrodynamic approach to accurately describe the dynamics, particularly the incomplete chemical equilibrium observed in strange baryon yields.
This study investigates the impact of neutron-proton pairing on the high-momentum tail of nucleon momentum distributions in symmetric nuclear matter, revealing that pairing contributes approximately 6% to the short-range correlation-induced high-momentum fraction and that this effect scales with the squared relative pairing gap normalized by the kinetic energy.
Using color-spin molecular dynamics, this study reveals that neutron-star matter favors the formation of multi-quark clusters with integer baryon numbers over isolated quarks, while demonstrating that interactions between strange and light quarks significantly influence neutron-star radii, offering a potential pathway to constrain flavor-sector interactions through future observations.
This paper presents an exact flux identity derived from a complex-potential framework that partitions the absorption cross section into inner capture and peripheral loss, demonstrating that channel couplings in weakly bound nuclear reactions like Li+Bi redirect absorbed flux from peripheral breakup to fusion above the barrier, thereby identifying peripheral losses as the primary cause of complete-fusion suppression.
This paper analyzes Jefferson Lab data to demonstrate that the onset of color transparency exhibits reaction-dependent characteristics, specifically showing that deuteron normalization yields different baselines for pion and kaon electroproduction due to distinct background channel suppression, while the two mesons follow fundamentally different in-medium formation dynamics.
This study demonstrates that using transverse spherocity to classify Pb+Pb collisions into isotropic and jetty topologies provides a cleaner and more reliable method for probing the Chiral Magnetic Effect by effectively suppressing flow-driven and resonance-decay backgrounds compared to traditional flow-vector-based approaches.
The CMS experiment at the LHC reports the first observation of nuclear suppression in coherent (1S) photoproduction off heavy nuclei, measuring a nuclear gluon suppression factor of at a high energy scale of GeV and .
This study employs a deep-learning-assisted quasi-particle model trained on lattice QCD data to efficiently estimate the thermodynamic and transport properties of quark-gluon plasma at finite baryon chemical potential, demonstrating strong agreement with existing calculations.