749 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 derives an analytical solution for the heavy quark mass dependence of the baryon's light-cone distribution amplitude by solving a first-order differential equation within a factorization framework that incorporates renormalon corrections, thereby providing a crucial tool for extrapolating lattice QCD results to the physical bottom quark mass.
The paper introduces LQCDMaster, an agentic scientific computing system that automates the conversion of natural-language lattice QCD research tasks into executable PyQUDA workflows, significantly reducing implementation time while maintaining numerical precision and enabling the exploration of novel scientific calculations.
This paper introduces radiative corrections within an effective field theory framework for neutral-current (anti)neutrino-nucleon elastic scattering at GeV energies, demonstrating that these corrections are comparable in magnitude to strange quark contributions and yield excellent agreement with BNL E734 and MiniBooNE experimental data.
This paper calculates substantial and positive next-to-next-to-leading order (NNLO) QCD corrections for pion- and kaon-induced exclusive Drell-Yan processes within the generalized parton distribution framework, establishing the necessity of including these higher-order effects for reliable theoretical predictions to match future J-PARC experimental data.
This paper utilizes two-point QCD sum rules to theoretically predict the ground state masses of doubly topped baryon configurations (, , , , and ), finding them slightly above the sum of their constituent quark masses to provide a reference for future experimental searches at the LHC and FCC.
This paper introduces a novel framework that unifies finite-element methods with tensor networks to transform complex, non-linear operator equations into linear matrix equations, enabling efficient variational solutions through a common algebraic structure.
This paper introduces "half dualization," a general lattice construction that generates non-invertible duality defects by performing duality transformations in subregions of spacetime, and demonstrates its application to particle-vortex duality in the Villainized XY model and its evolution into invertible defects within gauged systems.
This paper demonstrates that the Hyperbolic Ising model, a mixed-field Ising system defined on an AdS background with site-dependent couplings, exhibits faster scrambling dynamics and Lyapunov exponents consistent with the Maldacena-Shenker-Stanford bound compared to its flat counterpart, despite relying solely on nearest-neighbor interactions.
This paper formulates thermal quantum field theory on finite rotating boxes by demonstrating that consistent descriptions of finite rotations require space-time manifolds with non-trivial topologies distinct from the standard , implemented via rotated boundary conditions that restrict imaginary angular velocities to specific discrete values.
This paper introduces SLDiffusion, a self-learning diffusion sampler that generates lattice-field configurations without pre-existing training data by iteratively bootstrapping from and refining score functions through Metropolis-Hastings corrections, achieving high accuracy and low autocorrelation times in the two-dimensional compact XY model.