The SNR (top) and SNR_diag (bottom) for the joint clustering and weak-lensing data vector shown using the shrunk jackknife covariance as a function of N_JK, relative to the sample covariance. Clustering spectra are limited to 10 ≤ ℓ ≤ 80 to balance contributions. Increasing N_JK reduces the spread in both metrics. While SNR agrees with the sample covariance across all N_JK, SNR_diag remains biased, though converging toward the sample estimate. See Fig. 10 for details.