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Fig. 6.

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Verification test of the analysis code for fδ(k, z) using: an N-body simulated data vector, averaged over n = 1944 realisations of the KiDS-1000 data without IA; the code and data set-up for the KiDS-1000 analysis has Nk = 20 k-bins and three redshift bins Z1 = [0, 0.3], Z2 = [0.3, 0.6], and Z3 = [0.6, 2]. The reference power, Pδfid(k, z), is here identical to the cosmology of the simulation (Takahashi et al. 2017). The errors (68% CI) do not marginalise over a projection kernel uncertainty. Top panel: Simulated covariance of the average data, comprising n times the area of KiDS-1000. Deviations from the expected fδ(k, z) = 1 towards higher z and k ≳ 1 h Mpc−1 are related to the finite grid pixel size in the simulation (pixelation bias). The lines are additional reconstructions using noise-free data, based on Eq. (8) and halofit without pixelation bias. Bottom panel: Same as top panel, but with statistical errors as in a single KiDS-1000 survey.

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