Numerical analytic continuation of Euclidean data
From MaRDI portal
Publication:6046273
DOI10.1016/j.cpc.2018.11.012arXiv1801.10348OpenAlexW2787575645MaRDI QIDQ6046273
Philipp Gubler, Ralf-Arno Tripolt, Maksim Ulybyshev, Lorenz von Smekal
Publication date: 10 May 2023
Published in: Computer Physics Communications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1801.10348
Related Items (11)
Spectral functions and dynamic critical behavior of relativistic \(Z_2\) theories ⋮ Heavy quarkonium in extreme conditions ⋮ Superconductivity in high-\(T_c\) and related strongly correlated systems from variational perspective: beyond mean field theory ⋮ Real-time diagram technique for instantonic systems ⋮ Reconstructing parton distribution functions from Ioffe time data: from Bayesian methods to neural networks ⋮ Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how artificial neural networks can help ⋮ Sparse modeling approach to obtaining the shear viscosity from smeared correlation functions ⋮ Spectral functions and critical dynamics of the \(\mathrm{O}(4)\) model from classical-statistical lattice simulations ⋮ Spectral representation of lattice gluon and ghost propagators at zero temperature ⋮ The nonperturbative functional renormalization group and its applications ⋮ Inclusive rates from smeared spectral densities in the two-dimensional O(3) non-linear \(\sigma\)-model
Cites Work
- Unnamed Item
- Loss of solution in the symmetry improved {\(\Phi\)}-derivable expansion scheme
- Longitudinal and transverse spectral functions in the three-dimensional \(O(4)\) model
- Introduction to the functional renormalization group
- Non-perturbative renormalization flow in quantum field theory and statistical physics
- Aspects of the functional renormalisation group
- A Bayesian Approach to QCD Sum Rules
- Information Theory and Statistical Mechanics
- Determination of Thermodynamic Green's Functions
This page was built for publication: Numerical analytic continuation of Euclidean data