Speaker
Alessandro Lupo
(University of Edinburgh)
Description
The problem of extracting spectral densities from Euclidean correlators
evaluated on the lattice has been receiving increasing attention.
Spectral densities provide a way to access quantities of crucial
importance in hadronic physics, such as inclusive decay rates,
scattering amplitudes, finite-volume energies, as well as transport
coefficients at finite temperature. Many approaches have been developed
to tackle this challenging problem. In this talk, we review how
Backus-Gilbert methods can be interpreted in the Bayesian framework,
focusing on the systematics of the two approaches.
| Topical area | Algorithms and Artificial Intelligence |
|---|
Primary author
Alessandro Lupo
(University of Edinburgh)
Co-authors
Luigi Del Debbio
(The University of Edinburgh)
Nazario Tantalo
(University of Rome 2 "Tor Vergata")
Marco Panero
(University of Turin and INFN Turin)