The Atacama Cosmology Telescope: semi-analytic covariance matrices for the DR6 CMB power spectra
Authors:
- Zachary AtkinsZAZachary Atkins
- Zack LiZLZack Li
- David AlonsoDADavid Alonso
- J. Richard BondJBJ. Richard Bond
- Erminia CalabreseECErminia Calabrese
- Adriaan J. DuivenvoordenADAdriaan J. Duivenvoorden
- Jo DunkleyJDJo Dunkley
- Serena GiardielloSGSerena Giardiello
- Carlos Hervías-CaimapoCHCarlos Hervías-Caimapo
- J. Colin HillJHJ. Colin Hill
- Hidde T. JenseHJHidde T. Jense
- Joshua KimJKJoshua Kim
Open Access
- 1 May 2025
- journal article
- Published by IOP Publishing in Journal of Cosmology and Astroparticle Physics
- Vol. 2025 (05)
Abstract
The Atacama Cosmology Telescope Data Release 6 (ACT DR6) power spectrum is expected to provide state-of-the-art cosmological constraints, with an associated need for precise error modeling. In this paper we design, and evaluate the performance of, an analytic covariance matrix prescription for the DR6 power spectrum that sufficiently accounts for the complicated ACT map properties. We use recent advances in the literature to handle sharp features in the signal and noise power spectra, and account for the effect of map-level anisotropies on the covariance matrix. In including inhomogeneous survey depth information, the resulting covariance matrix prescription is structurally similar to that used in the Planck Cosmic Microwave Background (CMB) analysis. We quantify the performance of our prescription using comparisons to Monte Carlo simulations, finding better than 3% agreement. This represents an improvement from a simpler, pre-existing prescription, which differs from simulations by ∼ 16%. We develop a new method to correct the analytic covariance matrix using simulations, after which both prescriptions achieve better than 1% agreement. This correction method outperforms a commonly used alternative, where the analytic correlation matrix is assumed to be accurate when correcting the covariance. Beyond its use for ACT, this framework should be applicable for future high resolution CMB experiments including the Simons Observatory (SO).Keywords
All Related Versions
This publication has 69 references indexed in Scilit:
- Array programming with NumPyNature, 2020
- SciPy 1.0: fundamental algorithms for scientific computing in PythonNature Methods, 2020
- Reprint of: Mahalanobis, P.C. (1936) "On the Generalised Distance in Statistics."Sankhya A, 2018
- Advanced ACTPol TES Device Parameters and Noise Performance in Fielded ArraysJournal of Low Temperature Physics, 2018
- Characterization of the Mid-Frequency Arrays for Advanced ACTPolJournal of Low Temperature Physics, 2018
- Advanced ACTPol Cryogenic Detector Arrays and ReadoutJournal of Low Temperature Physics, 2016
- Planck2013 results. XV. CMB power spectra and likelihoodAstronomy & Astrophysics, 2014
- Libsharp – spherical harmonic transforms revisitedAstronomy & Astrophysics, 2013
- On the assumption of Gaussianity for cosmological two-point statistics and parameter dependent covariance matricesAstronomy & Astrophysics, 2013
- Improved estimation of the covariance matrix of stock returns with an application to portfolio selectionJournal of Empirical Finance, 2003