555 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 presents state-of-the-art theoretical predictions for the electromagnetic Dirac form factors of hyperons by computing next-to-leading-order QCD corrections within the hard-collinear factorization framework and combining them with lattice QCD-determined distribution amplitudes.
This paper derives a one-loop factorization formula connecting the leading-twist QCD light-cone distribution amplitude (LCDA) to the boosted HQET LCDA of the baryon by utilizing the method-of-regions to simplify perturbative matching calculations, thereby providing a crucial step toward future lattice QCD computations of heavy baryon LCDAs.
This paper presents a lattice QCD calculation of the nucleon's gluon momentum fraction using the gradient flow method with nonperturbative renormalization, yielding a final result of 0.482(35) at 2 GeV in the MS-scheme.
This paper demonstrates that half-precision (FP16) mixed-precision linear solvers with novel rescaling steps for Lattice QCD on A64FX processors achieve practical stability with only a minor increase in iteration count compared to double-precision methods.
This paper investigates how a modified domain-wall fermion operator accelerates iterative linear solvers in lattice QCD simulations by improving convergence rates while preserving the 4D solution, supported by eigenvalue analysis and implementation within the GPU-enabled Bridge++ code framework.
By combining perturbative QCD equations of state with Lattice QCD data to constrain the bag parameter, this study suggests that while stable 2-flavor quark matter remains possible, stable 2+1-flavor quark matter is excluded under current theoretical assumptions.
This paper demonstrates that a machine-learned, classically perfect fixed-point action for four-dimensional SU(3) gauge theory, when analyzed via gradient flow, effectively suppresses discretization errors to below 1% on coarse lattices, thereby enabling the extraction of continuum physics and validating the potential of machine learning for realizing quantum perfect actions.
This paper advances the Hamiltonian truncation effective theory for two-dimensional by deriving all-order local matching corrections through diagram resummation and computing next-to-next-to-local non-local corrections at , thereby demonstrating the necessity of an increasingly rich operator basis to systematically mitigate truncation artifacts.
This study demonstrates that dynamical hard-core bosonic matter in a D lattice gauge theory naturally induces significant plaquette interactions, enabling the realization of topological quantum spin liquids and confinement-deconfinement transitions without requiring explicit multi-body terms in the Hamiltonian.
This paper proposes a logarithmic extension of local scale-invariance for non-equilibrium ageing phenomena, where scaling operators are characterized by Jordan cells, and validates the resulting covariant two-point functions against simulational data for autoresponse functions across various universality classes.