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99 papers · 1 filter
Machine Learning-Based Estimation of Cumulants of Chiral Condensate via Multi-Ensemble Reweighting with Deborah.jl
Benjamin J. Choi, Hiroshi Ohno, Akio Tomiya
We investigate a bias-corrected machine learning (ML) strategy for estimating traces of the inverse Dirac operator, (), motivated by the need for hi…
Accelerating iterative linear equation solver using modified domain-wall fermion matrix in lattice QCD simulations
Wei-Lun Chen, Issaku Kanamori, Hideo Matsufuru +1
Lattice simulations of Quantum Chromodynamics (QCD) enable one to calculate the low-energy properties of the strong interaction among quarks and gluons based on the first principle…
Mixed precision solvers with half-precision floating point numbers for Lattice QCD on A64FX processor
Issaku Kanamori, Hideo Matsufuru, Tatsumi Aoyama +4
We investigate the use of half-precision floating-point numbers (FP16) in mixed-precision linear solvers for lattice QCD simulations. Since the emergence of GPUs for general-purpos…
Sparse modeling study of extracting charmonium spectral functions from lattice QCD at finite temperature
Junichi Takahashi, Hiroshi Ohno, Akio Tomiya
We present charmonium spectral functions extracted from Euclidean-time correlation functions using sparse modeling (SpM). SpM solves inverse problems by considering only the sparsi…
Method for high-precision determination of the nucleon axial structure using lattice QCD: Removing -state contamination
Yasumichi Aoki, Ken-Ichi Ishikawa, Yoshinobu Kuramashi +6
We performed a precise calculation of physical quantities related to the axial structure of the nucleon using 2+1 flavor lattice QCD gauge configuration (PACS10 configuration) gene…
Symmetry of screening masses of mesons in two-flavor lattice QCD at high temperatures
Yasumichi Aoki, Hidenori Fukaya, Shoji Hashimoto +5
We investigate spatial two-point correlation functions of mesonic operators in two-flavor lattice QCD at high temperatures. The simulated temperatures over the range $T \in [147, 3…