Approaches to the Inverse Problem

The analytical continuation of correlation functions from imaginary to real time is a crucial step in lattice gauge theories, and it challenges our ability to derive non-perturbative predictions from lattice simulations. We review aspects of this ``inverse problem'', which has driven both theoretical and algorithmic advancements in recent years, opening new promising avenues for non-perturbative studies of the Standard Model and beyond. The focus of this proceeding will be on variations of Backus-Gilbert and Bayesian methods.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.22323/1.451.0019
Citations
1
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.89

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article

Approaches to the Inverse Problem

Marco Panero, Luigi Del Debbio, Nazario Tantalo, Alessandro Lupo
1 citations
Numerical methods in inverse problems
0.89
article

Approaches to the Inverse Problem

Marco Panero, Luigi Del Debbio, Nazario Tantalo, Alessandro Lupo
article en
1 citations

Abstract

The analytical continuation of correlation functions from imaginary to real time is a crucial step in lattice gauge theories, and it challenges our ability to derive non-perturbative predictions from lattice simulations. We review aspects of this ``inverse problem'', which has driven both theoretical and algorithmic advancements in recent years, opening new promising avenues for non-perturbative studies of the Standard Model and beyond. The focus of this proceeding will be on variations of Backus-Gilbert and Bayesian methods.

Science and Technology Facilities Council
Openalex Percentile: Top 28%
Numerical methods in inverse problems
0.89
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