We measure weak lensing cosmic shear power spectra from the three-year galaxy shear catalog of the Hyper Suprime-Cam (HSC) Subaru Strategic Program imaging survey. 1800 due to theoretical uncertainties in our modeling of those nonlinear scales (primarily based on checks described in Sections V.2.1 and V.3). This provides us six multipole bins that we use in our fiducial evaluation, high capacity pruning tool from the 17 that we initially measure. We derive the covariance matrix of our cosmic shear energy spectra using the mock catalogs described in Section II.5. We accomplish that by measuring the cosmic shear energy spectra, following the identical technique as our measurement from data, from all 1404 realizations of the mocks, and then using these 1404 energy spectra to compute the covariance matrix. Gaussian and non-Gaussian parts. We treat these mock catalogs exactly like our real information. We first measure the power spectra from every mock catalog on a field-by-subject basis.
We analytically compute the additive noise bias from form noise, and subtract it from the measured power spectra. Finally, we co-add the spectra from every field for every mock realization utilizing inverse variance weighting, with the individual covariances measured from the mock Wood Ranger Power Shears sale spectra for every 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 that reason, our covariance estimation needs to be applicable for this analysis. This correction issue is computed for every redshift bin (1.14, 0.98, 0.Ninety five and 0.99 in order of accelerating redshift), and it's roughly constant throughout the vary of scales thought of. 10,000. This limit is far smaller than the scales thought of on this analysis. The probability, described in Section V.1, makes use of the inverse of the covariance matrix. 0.96, the place 1404 is the variety of mock realizations and 60 is the quantity of information factors used in the evaluation. This correction assumes Gaussian noise and statistically impartial data vectors. To first order, we do not expect to see any cosmological B𝐵B mode signal, as lensing is caused by a scalar gravitational potential in the lens, and should subsequently be curl-free. The presence of B𝐵B modes may 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 sign to assess whether any of those effects may be impacting our measurements. 300, is per zero, as anticipated.
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