Gerardi, Francesca;
Cuceu, Andrei;
Joachimi, Benjamin;
Nadathur, Seshadri;
Font-Ribera, Andreu;
(2024)
Optimal data compression for Lyman-α forest cosmology.
Monthly Notices of the Royal Astronomical Society
, 528
(2)
pp. 2667-2678.
10.1093/mnras/stae092.
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Abstract
The Lyman-α three-dimensional correlation functions have been widely used to perform cosmological inference using the baryon acoustic oscillation scale. While the traditional inference approach employs a data vector with several thousand data points, we apply near-maximal score compression down to tens of compressed data elements. We show that carefully constructed additional data beyond those linked to each inferred model parameter are required to preserve meaningful goodness of fit tests that guard against unknown systematics, and to avoid information loss due to non-linear parameter dependences. We demonstrate, on suites of realistic mocks and Data Release 16 data from the Extended Baryon Oscillation Spectroscopic Survey, that our compression approach is lossless and unbiased, yielding a posterior that is indistinguishable from that of the traditional analysis. As an early application, we investigate the impact of a covariance matrix estimated from a limited number of mocks, which is only well conditioned in compressed space.
| Type: | Article |
|---|---|
| Title: | Optimal data compression for Lyman-α forest cosmology |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/mnras/stae092 |
| Publisher version: | http://dx.doi.org/10.1093/mnras/stae092 |
| Language: | English |
| Additional information: | © 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | methods: data analysis, cosmological parameters, large-scale structure of Universe |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10187340 |
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