High-accuracy emulators for observables in ΛCDM, Neff, Σmν, and w cosmologies

Bolliet, Boris, Spurio Mancini, Alessio, Hill, J. Colin, Madhavacheril, Mathew, Jense, Hidde T., Calabrese, Erminia ORCID: https://orcid.org/0000-0003-0837-0068 and Dunkley, Jo 2024. High-accuracy emulators for observables in ΛCDM, Neff, Σmν, and w cosmologies. Monthly Notices of the Royal Astronomical Society 531 (1) , 1351–1370. 10.1093/mnras/stae1201

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (16MB) | Preview

Abstract

We use the emulation framework CosmoPower to construct and publicly release neural network emulators of cosmological observables, including the cosmic microwave background (CMB) temperature and polarization power spectra, matter power spectrum, distance-redshift relation, baryon acoustic oscillation (BAO) and redshift-space distortion (RSD) observables, and derived parameters. We train our emulators on Einstein–Boltzmann calculations obtained with high-precision numerical convergence settings, for a wide range of cosmological models including ΛCDM, wCDM, ΛCDM + Neff, and ΛCDM + Σmν. Our CMB emulators are accurate to better than 0.5 per cent out to ℓ = 104, which is sufficient for Stage-IV data analysis, and our P(k) emulators reach the same accuracy level out to ⁠, which is sufficient for Stage-III data analysis. We release the emulators via an online repository (CosmoPower Organisation), which will be continually updated with additional extended cosmological models. Our emulators accelerate cosmological data analysis by orders of magnitude, enabling cosmological parameter extraction analyses, using current survey data, to be performed on a laptop. We validate our emulators by comparing them to class and camb and by reproducing cosmological parameter constraints derived from Planck TT, TE, EE, and CMB lensing data, as well as from the Atacama Cosmology Telescope Data Release 4 CMB data, Dark Energy Survey Year-1 galaxy lensing and clustering data, and Baryon Oscillation Spectroscopic Survey Data Release 12 BAO and RSD data.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Advanced Research Computing @ Cardiff (ARCCA) Physics and Astronomy
Publisher:	Oxford University Press
ISSN:	0035-8711
Date of First Compliant Deposit:	7 June 2024
Date of Acceptance:	16 April 2024
Last Modified:	17 Jun 2024 13:59
URI:	https://orca.cardiff.ac.uk/id/eprint/169591

Actions (repository staff only)

Edit Item