630 papers
Hep-Lat, short for High Energy Physics – Lattice, explores the fundamental forces of nature by simulating particle interactions on a digital grid. Instead of relying solely on abstract equations, researchers in this field use powerful computers to model how quarks and gluons bind together, offering deep insights into the structure of matter that are often impossible to derive analytically.
Gist.Science ensures these complex discoveries from arXiv remain accessible to everyone. We process every new preprint in this category as it is posted, providing both plain-language explanations for the curious and detailed technical summaries for experts. This dual approach bridges the gap between cutting-edge simulation work and broader scientific understanding.
Below are the latest papers in High Energy Physics – Lattice, curated directly from arXiv and ready for you to explore.
This paper resolves the ambiguity in mixing between nonlocal gluon and quark bilinear operators by demonstrating that dimensional regularization provides a consistent prescription for handling singularities at zero separation, ensuring agreement between coordinate and momentum space results and compatibility with lattice QCD extractions.
This paper investigates a dark matter model based on a symplectic gauge group, analyzing its thermodynamic properties near the confinement phase transition and exploring the resulting gravitational-wave production and relic abundances in the early universe.
This paper revisits the fuzzy sphere regulator for the 3D Ising model by utilizing Conformal Perturbation Theory to systematically analyze finite-size corrections and develop a novel method for extracting Operator Product Expansion coefficients from energy level sensitivities, thereby refining the connection between numerical lattice results and Conformal Field Theory predictions.
This paper challenges the common assumption that nuclear modifications do not exist in the longitudinal-transverse structure-function ratio by demonstrating theoretically and numerically that nucleon transverse motion within nuclei induces such modifications, particularly in medium- and large- regions, which are crucial for precise nucleon structure function determination and future investigations of gluon dynamics.
This paper demonstrates that gauge-equivariant diffusion models based on lattice gauge equivariant convolutional neural networks can accurately and efficiently simulate non-Abelian lattice gauge theories, showing strong generalization to larger lattice sizes and couplings with negligible accuracy loss when trained on a single traditional Monte Carlo ensemble.
This paper proposes and validates a gauge-invariant, configuration-based temperature estimator derived from the gradient and Hessian of the Euclidean lattice action, demonstrating its effectiveness in verifying thermodynamic consistency and detecting sampling inefficiencies in compact U(1) lattice gauge theory simulations across multiple dimensions.
This paper investigates the necessary steps to scale normalizing flow simulations for the Hubbard model to larger lattice sizes and lower temperatures by focusing on stability and efficiency, while also presenting the scaling behavior of stochastic normalizing flows and non-equilibrium Markov chain Monte Carlo methods for this fermionic system.
This paper provides a brief overview of tensor-polarized parton distribution functions for spin-1 hadrons, covering leading-twist structure functions, gluon transversity, higher-twist distributions, and related transverse-momentum-dependent functions up to twist 4 in the context of upcoming deuteron experiments.
This paper theoretically demonstrates and numerically calculates that nuclear modifications to the longitudinal-transverse structure function ratio in the deuteron, arising from transverse Fermi motion, are of the order of a few percent and should be accounted for in high-energy nuclear data analysis and future experimental investigations.
This paper extends Wegner duality to arbitrary topologies to derive a new class of Ising models where topology is encoded in non-local domain-wall patterns, enabling the efficient simulation of Z2 lattice gauge theory on near-term quantum devices using half the qubits and simpler two-body couplings compared to conventional methods.