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We analytically compute the additive noise bias from shape noise, Wood Ranger Tools and subtract it from the measured cordless power shears spectra. Finally, we co-add the spectra from each field for each mock realization utilizing inverse variance weighting, with the individual covariances measured from the mock energy spectra for each of the fields. We then use the 1404 co-added spectra to compute the covariance matrix. Figure 2 shows the correlation matrix from this covariance matrix. For this reason, our covariance estimation ought to be applicable for this analysis. This correction factor is computed for every redshift bin (1.14, 0.98, 0.95 and 0.Ninety nine so as of accelerating redshift), and it's roughly fixed across the range of scales thought-about. 10,000. This limit is far smaller than the scales considered in this evaluation. The chance, described in Section V.1, uses the inverse of the covariance matrix. 0.96, the place 1404 is the variety of mock realizations and 60 is the number of knowledge points used in the analysis. This correction assumes Gaussian noise and statistically unbiased data vectors. To first order, we do not anticipate to see any cosmological B𝐵B mode sign, as lensing is brought on by a scalar gravitational potential in the lens, and may subsequently be curl-free. The presence of B𝐵B modes could also be an indicator of potential systematic effects in the info, such as contamination by the PSF. We check the statistical significance of the B𝐵B mode signal to assess whether or not any of these results could also be impacting our measurements. 300, is per zero, as expected.
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