The DECADE Cosmic Shear Project III: Validation of Analysis Pipeline using Spatially Inhomogeneous Data > 자유게시판

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 lot of disparate observing programs and is therefore extra inhomogeneous across the sky in comparison with existing lensing surveys. First, we use simulated information-vectors to show the sensitivity of our constraints to different evaluation choices in our inference pipeline, including sensitivity to residual systematics. Next we use simulations to validate our covariance modeling for inhomogeneous datasets. This is finished for forty-six subsets of the info and is carried out in a fully constant method: for each subset of the information, buy Wood Ranger Power Shears we re-derive the photometric redshift estimates, shear calibrations, buy Wood Ranger Power Shears survey switch features, Wood Ranger Power Shears shop the information vector, measurement covariance, buy Wood Ranger Power Shears and eventually, the cosmological constraints. Our results present that current evaluation methods for weak lensing cosmology may be fairly resilient towards inhomogeneous datasets.

This additionally motivates exploring a wider vary of picture information for pursuing such cosmological constraints. Over the past two a long time, weak gravitational lensing (also referred to as weak lensing or cosmic shear) has emerged as a leading probe in constraining the cosmological parameters of our Universe (Asgari & Lin et al., 2021; Secco & Samuroff & Samuroff et al., 2022; Amon & Gruen et al., 2022; Dalal & Li et al., 2023). Weak lensing refers to the delicate bending of light from distant "source galaxies" due to the big-scale matter distribution between the supply and the observer (Bartelmann & Schneider 2001). Thus, weak lensing, by way of its sensitivity to the matter distribution, probes the large-scale structure (LSS) of our Universe and buy Wood Ranger Power Shears any processes that affect this construction; including cosmological processes similar to modified gravity (e.g., Schmidt 2008) and primordial signatures (e.g., buy Wood Ranger Power Shears Anbajagane et al. 2024c; Goldstein et al. 2024), in addition to a large number of astrophysical processes (e.g., Chisari et al.

2018; Schneider et al. 2019; Aricò et al. 2021; Grandis et al. 2024; Bigwood et al. 2024). Weak lensing has many novel advantages in the panorama of cosmological probes, the primary of which is that it's an unbiased tracer of the density discipline - in contrast to other tracers, corresponding to galaxies - and doesn't require modeling or marginalizing over an associated bias parameter (Bartelmann & Schneider 2001). For these causes, it is among the main probes of cosmology and has delivered a few of our greatest constraints on cosmological parameters. This paper is part of a collection of works detailing the DECADE cosmic shear analysis. Anbajagane & Chang et al. 2025a (hereafter Paper I) describes the shape measurement technique, the derivation of the final cosmology pattern, the robustness tests, and likewise the image simulation pipeline from which we quantify the shear calibration uncertainty of this pattern. Anbajagane et al. (2025b, hereafter Paper II) derives both the tomographic bins and calibrated redshift distributions for our cosmology sample, together with a series of validation checks.

This work (Paper III) describes the methodology and validation of the model, along with a sequence of survey inhomogeneity assessments. Finally Anbajagane & Chang et al. 2025c (hereafter Paper IV) shows our cosmic shear measurements and presents the corresponding constraints on cosmological fashions. This work serves three, key functions. First, to detail the modeling/methodology decisions of the cosmic shear analysis, and the robustness of our outcomes to said selections. Second, to construct on the null-checks of Paper I and show that our data vector (and cosmology) are usually not vulnerable to contamination from systematic effects, reminiscent of correlated errors in the point-spread operate (PSF) modeling. Finally, buy Wood Ranger Power Shears we take a look at the affect of spatial inhomogeneity in your complete finish-to-end pipeline used to extract the cosmology constraints. As highlighted in each Paper I and Paper II, buy Wood Ranger Power Shears the DECADE dataset contains some distinctive characteristics relative to different WL datasets; notably, the spatial inhomogeneity in the picture knowledge coming from this dataset’s origin as an amalgamation of many alternative public observing programs.

We carry out a set of checks the place we rerun the tip-to-end pipeline for various subsets of our knowledge - the place every subset accommodates specific sorts of galaxies (pink/blue, faint/brilliant and many others.) or incorporates objects measured in areas of the sky with higher/worse image high quality (modifications in seeing, airmass, interstellar extinction and many others.) - and present that our cosmology constraints are sturdy across such subsets. This paper is structured as follows. In Section 2, we briefly describe the DECADE shape catalog, and in Section 3, we present the cosmology model used in the DECADE cosmic shear challenge. In Section 4, Wood Ranger Power Shears official site we outline the completely different components required for quick garden trimming parameter inference, together with our analytic covariance matrix. In Section 5, we test the robustness of our constraints throughout modeling selection in simulated information vectors. Section 6 details our exams on the sensitivity of our parameter constraints to spatial inhomoegenity and to totally different selections of the source galaxy catalog. The catalog is launched in Paper I, alongside a collection of null-checks and Wood Ranger Power Shears official site shear calibrations made using image simulations of the survey knowledge.