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 presents a first study demonstrating that a U(1)-equivariant score-based diffusion model can effectively sample gauge link configurations for the lattice Schwinger model, yielding unbiased observables comparable to MCMC while mitigating topological freezing near critical parameters.
This paper proposes and evaluates a new formulation of the overlap Dirac operator in lattice QCD using diagonal Kenney-Laub iterates to approximate the matrix sign function, demonstrating that this approach offers superior chiral symmetry preservation and computational efficiency compared to traditional Chebyshev polynomial methods when applied to Wilson and Brillouin kernels.
This paper presents a non-perturbative lattice QCD calculation with flavors to determine the renormalization constants for the traceless components of the energy-momentum tensor, utilizing -improved Wilson actions and shifted boundary conditions to ensure the correlation functions satisfy continuum Ward identities.
This paper reviews and advocates for Magnetic-Field-Independent Regularization (MFIR) and the Medium Separation Scheme (MSS) as essential frameworks for studying magnetized dense quark matter, demonstrating that these methods eliminate unphysical artifacts found in traditional schemes and reveal that superconducting phases persist at zero temperature even under strong magnetic fields.
This paper investigates the configurational temperature estimator in various matrix models and random matrix ensembles, demonstrating that it satisfies the exact Schwinger–Dyson identity and serves as a sensitive diagnostic tool for Monte Carlo simulations.
This paper presents a theoretical framework using integral transforms to derive analytic formulae for extracting spectral densities from Euclidean correlators, addressing both continuum and lattice scenarios while providing rigorous bounds to control errors arising from finite temporal extents.
By dynamically coupling the quark gap equation to the full non-perturbative quark-gluon vertex, this study reveals that sub-GeV time-like momenta yield a pair of real poles with opposite-sign residues—governed by a dominant triplet of vertex form factors—thereby resolving the conceptual issues of complex conjugate poles while maintaining consistency with color confinement.
This paper presents the first global analysis of unpolarized Transverse-Momentum-Dependent (TMD) distributions using a neural-network parametrization that simultaneously incorporates Drell-Yan and SIDIS data at NLL accuracy, demonstrating that the inclusion of SIDIS data broadens the extracted TMDs while reducing uncertainties compared to Drell-Yan-only analyses and offering a model-independent framework for future high-precision experiments.
This paper challenges the conclusions of Aoki, Fukaya, and Taniguchi regarding the vanishing of the Dirac spectral density and topological susceptibility in the chirally symmetric phase, arguing that a critical step in their proof is unjustified and their results require reassessment.
This paper establishes a unified geometric framework for non-equilibrium sampling by demonstrating that violations of Schwinger--Dyson identities are governed by a single score-mismatch field, thereby linking relative Fisher information, configurational temperature, and Stein operators through a variational characterization of probability distortions.