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.
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Below are the latest papers in High Energy Physics – Lattice, curated directly from arXiv and ready for you to explore.
This study utilizes QCD sum rules with nonperturbative effects up to dimension ten to predict the masses and residues of ground and excited spin-3/2 doubly heavy baryons ( and containing $cc$, $bc$, or $bb$ quarks), providing essential theoretical guidance for future experimental searches.
This paper introduces a novel numerical bootstrap framework based on moment observables that provides rigorous bounds on conformal field theory spectra, revealing new continuous families of kinks and spectral reorganizations across dimensions that are difficult to access with traditional methods.
This paper presents the first lattice QCD calculation of form factors using 2+1 flavor domain-wall fermions and an anisotropic clover action for the bottom quark, which are then utilized to provide Standard-Model predictions for the branching fractions and angular observables of the rare decays and .
Using lattice QCD calculations on MILC ensembles with overlap and NRQCD actions, this study provides strong evidence for a deeply bound doubly bottom tetraquark in the isoscalar channel while finding no conclusive evidence for a bottom-strange counterpart.
This paper presents recent lattice QCD results for hadronic screening masses at temperatures extending from the GeV scale to the electroweak scale, revealing persistent non-perturbative higher-order effects that challenge purely perturbative predictions and offer new insights into the microscopic structure of QCD under extreme thermal conditions.
This paper demonstrates that the choice of prescription in the Collins-Soper-Sterman framework introduces a significant intrinsic theoretical uncertainty in Transverse Momentum Dependent distribution extractions, yielding consistent results for low-energy data but causing substantial discrepancies in intermediate-to-high energy predictions.
This study employs QCD light-cone sum rules to calculate the magnetic dipole moments of hidden-charm pentaquarks using four distinct diquark-diquark-antiquark interpolating currents, demonstrating that these electromagnetic observables are highly sensitive to internal quark configurations and can effectively discriminate between compact and molecular structural models.
This paper evaluates a machine learning framework and a novel multipoint method for the ill-posed spectral reconstruction problem by comparing them against established techniques on mock data, then applying the most effective approaches to quenched lattice data to extract the electric conductivity in the presence of a non-zero external magnetic field.
This paper introduces HMC, a hybrid algorithm combining Exact Diagonalization and Hamiltonian Monte Carlo that overcomes the scaling limits of ED and the sign problem of standard Monte Carlo methods to enable efficient simulations of larger 2D arrays of coupled quantum wires.
This paper presents the status of an exploratory lattice QCD calculation utilizing a dual heavy-quark strategy and the finite-volume formalism to determine the hadronic matrix elements for the resonant final state, a crucial step toward achieving precise Standard Model predictions for the decay.