Dependence of cosmic shear covariances on cosmology Impact on parameter estimation

摘要

Context. In cosmic shear likelihood analyses, the covariance is most commonly assumed to be constant in parameter space. Therefore,when calculating the covariance matrix (analytically or from simulations), its underlying cosmology should not influence the likeli-hood contours.Aims. We examine whether the aforementioned assumptions hold and quantify how strong cosmic shear covariances vary within areasonable parameter range. Furthermore, we examine the impact on likelihood contours when assuming different cosmologies in thecovariance. The final goal is to develop an improved likelihood analysis for parameter estimation with cosmic shear.Methods. We calculate Gaussian covariances analytically for 2500 different cosmologies. To quantify the impact on the parameterconstraints, we perform a likelihood analysis for each covariance matrix and compare the likelihood contours. To improve on theassumption of a constant covariance, we use an adaptive covariance matrix, which is continuously updated according to the pointin parameter space where the likelihood is evaluated. As a side-effect, this cosmology-dependent covariance improves the parameterconstraints. We examine this more closely using the Fisher-matrix formalism. In addition, we quantify the impact of non-Gaussiancovariances on the likelihood contours using a ray-tracing covariance derived from the Millennium simulation. In this ansatz, wereturn to the approximation of a cosmology-independent covariance matrix, and to minimize the error due to this approximation, wedevelop the concept of an iterative likelihood analysis.Results. Covariances vary significantly within the considered parameter range. The cosmology assumed in the covariance has a non-negligible impact on the size of the likelihood contours. This impact increases with increasing survey size, increasing number densityof source galaxies, decreasing ellipticity noise, and when taking non-Gaussianity into account. A proper treatment of this effect istherefore even more important for future surveys. In this paper, we present methods for taking cosmology-dependent covariances intoaccount.