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ScottyH411

We current the pipeline for the cosmic shear evaluation of the Dark Energy Camera All Data Everywhere (DECADE) weak lensing dataset: a catalog consisting of 107 million galaxies observed by the Dark Energy Camera (DECam) within the northern Galactic cap. The catalog derives from a large number of disparate observing applications and is therefore more inhomogeneous across the sky compared to existing lensing surveys. First, we use simulated knowledge-vectors to show the sensitivity of our constraints to totally different evaluation choices in our inference pipeline, together with sensitivity to residual systematics. Next we use simulations to validate our covariance modeling for inhomogeneous datasets. This is done for forty-six subsets of the data and is carried out in a fully consistent manner: for each subset of the data, we re-derive the photometric redshift estimates, shear calibrations, survey switch capabilities, the info vector, measurement covariance, and eventually, the cosmological constraints. Our results show that present analysis methods for weak lensing cosmology will be fairly resilient towards inhomogeneous datasets.

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