537 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.
Using continuum Schwinger function methods, this paper challenges the simple hydrogen-like atomic model of ground-state scalar and pseudoscalar charmonia by revealing their complex internal structures, including nontrivial orbital angular momentum contributions and non-positive-definite distribution amplitudes, while providing theoretical benchmarks for understanding heavy-quark hadrons.
This paper presents the first real-time tensor-network simulation of hadronic scattering in a (1+1)-dimensional SU(2) lattice gauge theory, revealing that while meson-meson and baryon-baryon collisions exhibit predominantly elastic dynamics similar to the Schwinger model, meson-baryon interactions display unique entanglement-driven behavior characterized by the spatial delocalization of slower wavepackets.
This paper presents the status of Fermilab-MILC calculations for form factors using seven physical-mass HISQ ensembles, aiming to resolve current unexplained tensions in heavy-to-light results and clarify the ambiguous situation in the channel despite recent advances in heavy-to-heavy decay characterization.
This paper reviews the current status of Lattice QCD calculations for and other semileptonic decays, highlighting that despite recent advancements, these results have not yet resolved the flavor anomalies and outlining expectations for future progress.
This paper presents a symmetry-preserving approximation for computing light meson spectra that incorporates fully-dressed quark-gluon vertices and demonstrates significantly improved agreement with experimental masses compared to the traditional rainbow-ladder approximation.
This paper introduces a neural-network-based approach using gauge-equivariant layers to automatically generate optimized interpolators for both ground and excited states of Wilson loops in lattice QCD, thereby addressing the signal-to-noise challenges in extracting the static quark-antiquark potential.
This paper presents new lattice results for sphaleron and non-perturbative thermal axion production rates in QCD across a wide temperature range, utilizing these findings to estimate the thermalization time of ultra-soft gluons during reheating and demonstrating significant deviations from perturbative axion estimates even at the electroweak scale.
This paper proposes using the vanishing of the Roberge-Weiss transition temperature in the chiral limit as a novel probe for the conformal window in many-flavor QCD and presents lattice evidence suggesting that flavors already falls within this conformal regime.
This paper investigates exotic bulk and foliated theta terms in the 2+1d -theory, a fractonic analogue of the compact boson, demonstrating how discontinuous field configurations induce generalized Witten effects where vortex operators acquire momentum charges, including a unique quadrupolar structure in the foliated case.
This paper demonstrates that the inverse problem in the LaMET framework, arising from noisy lattice data at intermediate harmonics (), introduces significant uncertainties that cannot be resolved by simple asymptotic assumptions, thereby necessitating more sophisticated techniques and correcting the misconception that LaMET offers a direct -dependence computation compared to short-distance factorization.