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.

Exact Diagonalization, Matrix Product States and Conformal Perturbation Theory Study of a 3D Ising Fuzzy Sphere Model

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.

Andreas M. Läuchli, Loïc Herviou, Patrick H. Wilhelm, Slava Rychkov2026-01-28⚛️ hep-lat

Existence of nuclear modifications on longitudinal-transverse structure-function ratio

This paper challenges the common assumption that nuclear modifications do not exist in the longitudinal-transverse structure-function ratio RNR_N by demonstrating theoretically and numerically that nucleon transverse motion within nuclei induces such modifications, particularly in medium- and large-xx regions, which are crucial for precise nucleon structure function determination and future investigations of gluon dynamics.

S. Kumano2026-01-28⚛️ nucl-ex

Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory

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.

Gert Aarts, Diaa E. Habibi, Andreas Ipp, David I. Müller, Thomas R. Ranner, Lingxiao Wang, Wei Wang, Qianteng Zhu2026-01-28⚛️ hep-lat

Semileptonic ΩbΩcνˉΩ_{b}^{*}\rightarrowΩ_{c}^{*} \ell \barν_{\ell} transition in QCD

This paper employs the QCD sum rule method to calculate the form factors and decay widths for the semileptonic transition of the spin-3/2 bottom baryon Ωb\Omega_b^* to the spin-3/2 charmed baryon Ωc\Omega_c^*, providing theoretical predictions to test the Standard Model against future experimental data.

A. Amiri, P. Eslami, K. Azizi, R. Jafariseyedabad2026-01-27⚛️ hep-lat

Lattice determination of the neutrino background for J/ψγ+invisibleJ/ψ\rightarrow γ+ \textrm{invisible}

This paper presents the first lattice QCD calculation of the irreducible Standard Model background for the J/ψγ+invisibleJ/\psi \to \gamma + \text{invisible} decay, determining the branching fraction for J/ψγννˉJ/\psi \to \gamma\nu\bar{\nu} to be 1.00(9)(7)×10101.00(9)(7)\times 10^{-10} to provide a critical benchmark for dark matter searches.

Yu Meng, Ning Li, Chuan Liu, Haobo Yan, Ke-Long Zhang, Xue-Ze Zhang2026-01-27⚛️ hep-lat

Toward Scalable Normalizing Flows for the Hubbard Model

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.

Janik Kreit, Andrea Bulgarelli, Lena Funcke, Thomas Luu, Dominic Schuh, Simran Singh, Lorenzo Verzichelli2026-01-27⚛️ hep-lat