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 proposes using Wilson flow on lattice QCD configurations to isolate instanton contributions and study the pion electromagnetic form factor, aiming to validate the precision of the instanton liquid model against non-perturbative simulations.
This paper investigates the moduli space of multi-fractional instantons on a twisted by demonstrating that 't Hooft's constant field strength solutions constitute the entire moduli space only when , whereas for , they represent a measure-zero subset surrounded by non-constant, non-abelian solutions, a finding that resolves a recent puzzle and is validated through analytical, numerical, and lattice comparisons.
This paper predicts that the maximum achievable supercooling in confinement transitions is limited to a few percent due to a deconfined phase instability just below the critical temperature, a finding derived from softly-broken SUSY insights that implies a significant suppression of associated cosmological gravitational wave signals.
This paper introduces a robust multiple shooting method for accurately determining Lefschetz thimble intersection numbers in multivariable systems, enabling stable real-time path integral evaluations and offering new insights into oscillatory integrals in physics and mathematics.
This paper employs a nonperturbative Hamiltonian framework using Daubechies wavelets in momentum space to analyze dimensional theory, successfully demonstrating the emergence of a strong-coupling phase transition in the sector.
This paper proposes a scalable superconducting-circuit architecture that utilizes the intrinsic infinite-dimensional Hilbert space of rotor variables to realize compact U(1) lattice gauge theory with exact Gauss's law and emergent gauge dynamics, offering a continuous-variable platform for analog quantum simulation without the need for Hilbert-space truncation or auxiliary stabilizers.
This paper introduces finite Gaussian assistance protocols and a multimode conic metric framework to optimize spacelike vacuum entanglement, yielding the highest known lower bound for Gaussian entanglement of assistance and the lowest known upper bound for Gaussian entanglement of formation in free scalar fields.
This paper offers a pedagogical introduction to the Silver Blaze problem in QCD, which addresses the paradox of why physical observables remain unchanged below a critical chemical potential despite the chemical potential altering the Dirac operator's eigenvalues, by analyzing the behavior of functional integrals and the role of phase cancellations in gauge configurations.
Using anisotropic FASTSUM Generation 3 ensembles, this study proposes a new method to probe symmetry restoration via mesonic correlators and finds that the symmetry is effectively restored at approximately 320 MeV, a temperature significantly higher than the chiral transition temperature of 180 MeV.
This paper utilizes Bayesian thermal analysis of hadron yields from STAR Ru+Ru and Zr+Zr isobar collisions to precisely extract chemical potential differentials in the QCD phase diagram, thereby validating these collisions as a high-precision probe for four-dimensional QCD thermodynamics against lattice-QCD and Chiral Mean Field model predictions.