3 papers
astro-ph.CO2019
Residual Smoothing: Using Mocks to Correct Model Covariance Matrices
Ross O'Connell
Abstract Covariance matrix estimation is a challenging problem in cosmology. Recent work has shown that model covariance matrices can be precise, and that at relatively large scale…
astro-ph.CO2019
RascalC: A Jackknife Approach to Estimating Single and Multi-Tracer Galaxy Covariance Matrices
Oliver H. E. Philcox, Daniel J. Eisenstein, Ross O'Connell +1
To make use of clustering statistics from large cosmological surveys, accurate and precise covariance matrices are needed. We present a new code to estimate large scale galaxy two-…
astro-ph.CO2018
Large Covariance Matrices: Accurate Models Without Mocks
Ross O'Connell, Daniel J. Eisenstein
Covariance matrix estimation is a persistent challenge for cosmology. We focus on a class of model covariance matrices that can be generated with high accuracy and precision, using…