Weak lensing statistics from the Coyote Universe
Tim Eifler (CCAPP/OSU)

TL;DR
This paper introduces a weak lensing prediction pipeline based on the Coyote Universe emulator, assessing how accurately it can predict shear statistics and the impact of k and z limits on cosmological measurements.
Contribution
The paper presents a new pipeline using the Coyote Universe emulator for precise weak lensing predictions and evaluates the number of modes needed for accurate cosmological information extraction.
Findings
k_max~8 h/Mpc causes bias comparable to statistical errors for DES-like surveys
k_max~15 h/Mpc is required for LSST-like survey accuracy at l~4000
7-8 COSEBIs modes are sufficient to capture most cosmological information
Abstract
Analyzing future weak lensing data sets from KIDS, DES, LSST, Euclid, WFIRST requires precise predictions for the weak lensing measures. In this paper we present a weak lensing prediction code based on the Coyote Universe emulator. The Coyote Universe emulator predicts the (non-linear) power spectrum of density fluctuations (P_delta) to high accuracy for k \in [0.002;3.4] h/Mpc within the redshift interval z \in [0;1], outside this regime we extend P_delta using a modified Halofit code. This pipeline is used to calculate various second-order cosmic shear statistics, e.g., shear power spectrum, shear-shear correlation function, ring statistics and COSEBIs (Complete Orthogonal Set of EB-mode Integrals), and we examine how the upper limit in k (and z) to which P_delta is known, impacts on these statistics. For example, we find that k_max~8 h/Mpc causes a bias in the shear power spectrum at…
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