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 applies the quantum bootstrap method to non-relativistic potential models, successfully validating the approach against charmonium and bottomonium data and predicting a quasi-bound toponium state with a mass of approximately 344.3 GeV that aligns with recent ATLAS and CMS observations.
By mapping the heavy quark high-density region of lattice QCD to a three-dimensional three-state Potts model with a complex external field and analyzing it via finite volume scaling and tensor renormalization group methods, the study reveals that the phase transition evolves from first-order to crossover and back to first-order as density increases, strongly suggesting the existence of a first-order phase transition in the high-density heavy quark regime of QCD.
This paper investigates the quantum resource of non-stabilizerness in discrete lattice gauge theories, demonstrating that enforcing gauge constraints for groups incurs no resource cost while exploring how non-abelian gauge groups influence the average non-stabilizerness of the gauge-invariant Hilbert space.
This paper constructs a rigorous lattice formulation of Chern-Simons theory at even levels using Deligne-Beilinson cohomology, which naturally incorporates level quantization and self-linking numbers for framed Wilson lines while employing a small Maxwell term to regulate divergences arising from staggered symmetry.
This study utilizes QCD light-cone sum rules to calculate the magnetic moments of tetraquark states, demonstrating that these electromagnetic properties can effectively distinguish between different internal structures and spin-parity configurations despite similar masses.
This paper presents lattice QCD calculations of the odd Mellin moments of the pion valence-quark generalized parton distribution up to fifth order across a range of skewness values, utilizing boosted pion states and advanced renormalization techniques to extract skewness-dependent moments through polynomiality-constrained fits.
This paper presents the first derivation of the two-loop renormalization-group equation for the nucleon light-cone distribution amplitude, enabling an analytic solution that reveals significant impacts on leading-logarithmic results for nucleon form factors within the hard-collinear factorization framework.
Using numerical Monte Carlo simulations, this study demonstrates that in a strong magnetic field, the electroweak vacuum undergoes two crossover transitions into an intermediate vortex phase where a nearly massless boson excitation emerges as a Goldstone acoustic phonon mode associated with the vortex lattice, while Higgs and boson masses remain non-zero throughout.
Using a holographic heavy quark model, this paper investigates how external magnetic fields and spatial anisotropy affect the effective potential, string tension, and energy loss of heavy quarks in hot dense QGP, revealing magnetic catalysis in phase transitions and anisotropy-dependent deviations from the standard scaling of string tension.
This paper provides a practical collection of tips and techniques for performing large, correlated Bayesian fits of two- and three-point correlation functions in semileptonic decays, specifically designed for use with the gvar, lsqfit, and corrfitter software packages while offering transferable insights for other fitting contexts.