1401 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 compares three qubit-mapping strategies within the Variational Quantum Eigensolver (VQE) framework to study the ground states of B and C nuclei, demonstrating that the Slater determinant (SD) mapping yields the highest accuracy on quantum hardware while the charge-symmetry adapted (cSD) mapping offers superior qubit efficiency for scaling to complex nuclei.
This study investigates how self-interacting fermionic dark matter influences hybrid and twin stars within a two-fluid gravitational framework, revealing that dark matter's effect on quark matter formation and stellar stability depends on its mass and fraction, potentially shifting the nucleon-to-quark transition to higher densities and obscuring quark matter signatures in current neutron star observations.
This paper utilizes an analytically tractable model to demonstrate that while the Centrality Bin Width Correction (CBWC) can effectively suppress volume fluctuations in (net-)proton cumulant measurements, it may also fail and produce misleading results under specific correlation conditions.
This paper presents a differentiable Bidirectional Liquid Neural Network emulator that accurately maps optical potential parameters to nucleon-nucleus scattering wave functions across a broad energy range and diverse nuclei, enabling efficient gradient-based parameter optimization and uncertainty quantification while successfully generalizing to unseen targets.
This paper calculates eleven energy-momentum tensor form factors for the deuteron using impulse approximation to map out its internal mass, momentum, stress, and force distributions, revealing how antisymmetric stress components relate to spin reorientation via torsion and how non-radial forces arise from tensor interactions and spin-orbit coupling.
This paper utilizes the Frobenius covariant to construct projection operators onto spin-S eigenspaces of total and orbital angular momenta, presenting them as both polynomials in the scalar product of these operators and expansions in polarization operators, while establishing a correspondence with Villars' angular momentum projection.
This study utilizes large-volume lattice QCD simulations at the flavor-symmetric SU(3) point to identify bound states corresponding to the , , and resonances, subsequently employing Unitary Chiral Perturbation Theory to trace their pole trajectories to the physical point.
This paper proposes three sample-efficient classical shadow protocols for lattice gauge theory that leverage gauge symmetry to achieve exponential improvements in sample complexity over symmetry-agnostic methods, offering a blueprint for simulating more general lattice gauge models.
This paper establishes a new universal relation linking the electric dipole polarizability of finite nuclei to the compactness of neutron stars, enabling the use of nuclear experimental data to constrain the neutron star radius and the slope of the symmetry energy in an equation-of-state independent manner.
This paper presents a robust, CNN-based online trigger system using compact particle histograms and a lightweight C++ inference package to effectively select quark-gluon plasma events in real-time high-rate experiments, demonstrating high accuracy and model-transfer stability across different simulation frameworks despite reconstruction effects.