Ground state mass in short lattices by controlling overconfidence and bias in Bayesian fits
High Energy Physics - Lattice
2019-12-30 v2
Abstract
We investigate the seemingly ill-defined problem of extracting a ground-state mass from a lattice simulation where the extent of the lattice is not long enough to project out the ground-state properly. We regulate the problem using a Bayesian method. We show that controlling meta-parameters (overconfidence) can allow the data to overcome the input priors (bias). We can write the method as a black-box technique which allows extraction of a ground-state mass, even on a relatively short lattice.
Cite
@article{arxiv.1910.11384,
title = {Ground state mass in short lattices by controlling overconfidence and bias in Bayesian fits},
author = {Sourendu Gupta and Anirban Lahiri},
journal= {arXiv preprint arXiv:1910.11384},
year = {2019}
}
Comments
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