Extreme data compression while searching for new physics

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Title: Extreme data compression while searching for new physics
Authors: Heavens, A
Sellentin, E
Jaffe, A
Item Type: Journal Article
Abstract: Bringing a high-dimensional dataset into science-ready shape is a formidable challenge that often necessitates data compression. Compression has accordingly become a key consideration for contemporary cosmology, affecting public data releases, and reanalyses searching for new physics. However, data compression optimized for a particular model can suppress signs of new physics, or even remove them altogether. We therefore provide a solution for exploring new physics \emph{during} data compression. In particular, we store additional agnostic compressed data points, selected to enable precise constraints of non-standard physics at a later date. Our procedure is based on the maximal compression of the MOPED algorithm, which optimally filters the data with respect to a baseline model. We select additional filters, based on a generalised principal component analysis, which are carefully constructed to scout for new physics at high precision and speed. We refer to the augmented set of filters as MOPED-PC. They enable an analytic computation of Bayesian evidences that may indicate the presence of new physics, and fast analytic estimates of best-fitting parameters when adopting a specific non-standard theory, without further expensive MCMC analysis. As there may be large numbers of non-standard theories, the speed of the method becomes essential. Should no new physics be found, then our approach preserves the precision of the standard parameters. As a result, we achieve very rapid and maximally precise constraints of standard and non-standard physics, with a technique that scales well to large dimensional datasets.
Issue Date: 26-Aug-2020
Date of Acceptance: 17-Aug-2020
URI: http://hdl.handle.net/10044/1/81975
DOI: 10.1093/mnras/staa2589
ISSN: 0035-8711
Publisher: Royal Astronomical Society
Journal / Book Title: Monthly Notices of the Royal Astronomical Society
Copyright Statement: © 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
Keywords: astro-ph.CO
0201 Astronomical and Space Sciences
Astronomy & Astrophysics
Notes: 11 pages, 12 figures
Publication Status: Published online
Open Access location: https://arxiv.org/abs/2006.06706
Online Publication Date: 2020-08-26
Appears in Collections:Physics