747 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 employs light-cone QCD sum rules to demonstrate that in tetraquarks with a pseudoscalar antidiquark, the charm quark algebraically decouples from electromagnetic moments, leaving a distinct light-flavor pattern and non-zero quadrupole moments that serve as structural signatures to discriminate between compact and molecular internal architectures.
Guided by analytical insights from long-range conformal field theory, this paper demonstrates that Monte Carlo simulations of the one-dimensional long-range Ising model can efficiently and accurately compute critical scaling dimensions and correlation functions, establishing the system as an ideal testing ground for non-perturbative methods in strongly coupled CFTs.
This paper introduces a novel gauge-covariant wavelet framework that utilizes spatial localization and resolution-scale separation to efficiently sparsen quark propagators and construct distillation subspaces without eigenpair calculations, thereby significantly reducing the computational cost of hadronic correlation functions while maintaining accuracy comparable to conventional methods.
This paper employs Euclidean Monte Carlo simulations and weak-coupling perturbation theory to quantify the relative probabilities of different irreducible representation states and site singlets in SU(3) lattice gauge theory, thereby providing critical data to determine the necessary truncation schemes for accurate quantum simulations of non-abelian gauge dynamics near the continuum limit.
This paper introduces a transformer-based variational autoregressive network enhanced with physics-informed ingredients to efficiently sample the two-dimensional XY model near its phase transition, demonstrating superior performance over existing neural samplers and accurate reproduction of traditional Monte Carlo results on large lattices without mode dropping.
This paper demonstrates that the complex Langevin method can successfully overcome the sign problem in auxiliary-field quantum Monte Carlo calculations for small nuclear shell model systems at finite temperature, accurately reproducing exact energy results and offering a promising complementary approach to variational methods for larger systems.
This study demonstrates that normalizing flows serve as effective, autocorrelation-free samplers for a continuous spin variant of the Blume-Capel model, successfully mapping its phase diagram and accurately locating critical points through finite-size scaling analyses comparable to traditional Monte Carlo methods.
This paper calculates radiative transitions within the lowest charmonium-hybrid multiplet using a constituent gluon model based on Coulomb-gauge QCD, finding that results for and agree with quenched lattice computations while the transition is significantly lower than lattice estimates.
This paper calculates the 1-loop box-graph correction to low-energy electron-quark scattering with non-zero masses, demonstrating that a non-zero electron mass ensures finite, cutoff-independent couplings in the effective Lagrangian and discussing the implications for determining the proton's weak charge.
This paper proposes and refines a conjecture for the free energy of the square-lattice Ising model in a magnetic field by expressing it as a superposition of one-dimensional chains weighted by a distribution of Lee--Yang gaps, achieving high-precision agreement with numerical data and reproducing exact critical exponents and spontaneous magnetization.