The correlation matrix shown in relation to the number of jackknife samples N_JK (bottom right), in comparison to the sample covariance correlation matrix (top left corner). The correlation matrix is divided into blocks representing the covariance between each angular power spectra pair. On the left we show the jacknife covariances N_JK = 74 and on the right with N_JK = 296. Each angular power spectra is indicated with a label of the form X_iY_j where X and Y represent the angular power spectra type, either P for clustering or E and B for E- and B-modes, while the subscripts i and j represent the tomographic bin. Increasing N_JK improves the non-diagonal structure of the jackknife covariance, features in the sample covariance start to show more clearly for N_JK = 296 where the noise levels are lower.