Fewer simulations, sharper covariances: Reducing mock covariance noise with Zeldovich approximation control variates
astro-ph.CO
Submitted: 2026-05-27
Updated: 2026-10-22
Code: https://github.com/abacusorg/abacusutils
Terminology
Sources
- The Effect of Covariance Estimator Error on Cosmological Parameter Constraints
- The DESI Experiment Part I: Science,Targeting, and Survey Design
- Cosmology with the SPHEREX All-Sky Spectral Survey
- LSST Science Book, Version 2.0
- Control variates from Eulerian and Lagrangian perturbation theory: Application to the bispectrum
- Putting the Precision in Precision Cosmology: How accurate should your data covariance matrix be?
- The Clustering of Galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Including covariance matrix errors
- Parameter inference with estimated covariance matrices
- Euclid. I. Overview of the Euclid mission
- Extragalactic Science, Cosmology and Galactic Archaeology with the Subaru Prime Focus Spectrograph (PFS)
- Response Approach to the Matter Power Spectrum Covariance
- Galaxy Power Spectrum Multipoles Covariance in Perturbation Theory
- Covariance of the matter power spectrum including the survey window function effect: N-body simulations vs. fifth-order perturbation theory on grid
- Covariance of the galaxy angular power spectrum with the halo model
- Simulations of Baryon Acoustic Oscillations II: Covariance matrix of the matter power spectrum
- Comparing approximate methods for mock catalogues and covariance matrices II: Power spectrum multipoles
- Comparing approximate methods for mock catalogues and covariance matrices I: correlation function
- Statistical Analysis of Galaxy Surveys - I. Robust error estimation for 2-point clustering statistics
- Creating Jackknife and Bootstrap estimates of the covariance matrix for the two-point correlation function
- Shrinkage Estimation of the Power Spectrum Covariance Matrix
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