450 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 thermal tensor networks to numerically verify the Svetitsky-Yaffe conjecture for the deconfinement transitions of (2+1)-dimensional lattice gauge theories () by extracting universal CFT data, while also identifying an intermediate phase with emergent U(1) symmetry in the case and determining zero-temperature critical couplings.
This lattice simulation study reveals that weak acceleration in gluodynamics transforms the finite-temperature confinement-deconfinement phase transition into a spatial crossover where coexisting phases are separated by a boundary accurately described by the Tolman-Ehrenfest law, suggesting such spatial transitions may occur near Schwarzschild black hole horizons.
Motivated by future Electron-Ion Collider physics, this paper demonstrates that kinematically enhanced interpolators significantly improve the precision of renormalized nucleon matrix elements at high momenta while showing no dependence on lattice spacing, thereby establishing them as a promising standard for modern lattice QCD parton physics calculations.
Using QCD light-cone sum rules, this study calculates the static electromagnetic properties of molecular tetraquark candidates, revealing that their magnetic moments are dominated by light quarks while their near-spherical charge distributions and suppressed charm contributions provide quantitative benchmarks for distinguishing molecular structures from compact multiquark interpretations.
This paper presents the first non-perturbative lattice determination of bubble nucleation rates seeded by topological defects in a cubic anisotropy model, demonstrating excellent agreement with semi-classical predictions that include fluctuation determinants away from spherical symmetry.
The CJ26 global QCD analysis presents a new set of NLO parton distribution functions by incorporating the complete suite of JLab 6 GeV and the first published 12 GeV data to uniquely disentangle higher-twist effects from off-shell nucleon corrections, thereby significantly reducing uncertainties in the large- structure function and valence quark ratios.
This paper introduces Microcanonical Hamiltonian Monte Carlo (MCHMC) and its continuous variant MCLMC, which utilize fixed-energy dynamics and specialized momentum bounces to achieve superior scalability and performance compared to standard HMC methods like NUTS.
This paper proposes a machine learning-driven method to improve lattice operators in critical systems, successfully constructing estimators with enhanced overlap to continuum conformal fields that significantly reduce finite-size corrections and yield more accurate scaling dimensions for the Ising and q=3 Potts models.
This paper proposes a novel Eigenvalue-cluster Algorithm for Matrix Monte Carlo simulations that overcomes the limitations of traditional Metropolis methods by effectively navigating eigenvalue clusters to ensure convergence to the true vacuum state.
This brief note provides a detailed explanation of the domain wall-to-overlap transformation, specifically focusing on the inclusion of the alpha parameter to improve the conditioning of the Domain Wall Operator.