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

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We present the pipeline for the cosmic shear analysis of the Dark Energy Camera All Data Everywhere (DECADE) weak lensing dataset: a catalog consisting of 107 million galaxies noticed by the Dark Energy Camera (DECam) in the northern Galactic cap. The catalog derives from a large number of disparate observing packages and is subsequently extra inhomogeneous across the sky in comparison with current lensing surveys. First, we use simulated knowledge-vectors to show the sensitivity of our constraints to completely different analysis decisions 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 information and is carried out in a totally constant manner: for each subset of the data, we re-derive the photometric redshift estimates, shear calibrations, survey switch functions, the info vector, Wood Ranger Power Shears reviews measurement covariance, and eventually, the cosmological constraints. Our outcomes present that present evaluation methods for weak lensing cosmology could be fairly resilient towards inhomogeneous datasets.

This also motivates exploring a wider vary of picture data for pursuing such cosmological constraints. Over the past two a long time, weak gravitational lensing (additionally referred to as weak lensing or cosmic shear) has emerged as a number one 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 subtle bending of mild from distant "source galaxies" due to the massive-scale matter distribution between the supply and Wood Ranger Power Shears reviews the observer (Bartelmann & Schneider 2001). Thus, weak lensing, by means of its sensitivity to the matter distribution, probes the big-scale structure (LSS) of our Universe and Wood Ranger Power Shears order now Wood Ranger Power Shears review Wood Ranger Power Shears Wood Ranger Power Shears USA for sale any processes that impression this construction; together with cosmological processes similar to modified gravity (e.g., Schmidt 2008) and primordial signatures (e.g., Wood Ranger official Anbajagane et al. 2024c; Goldstein et al. 2024), as well as 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 first of which is that it's an unbiased tracer of the density field - in contrast to other tracers, equivalent to galaxies - and doesn't require modeling or marginalizing over an related bias parameter (Bartelmann & Schneider 2001). For these reasons, it is among the leading probes of cosmology and has delivered a few of our best 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 methodology, the derivation of the ultimate cosmology pattern, the robustness checks, and in addition the picture 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, along with a series of validation assessments.

This work (Paper III) describes the methodology and Wood Ranger Power Shears reviews validation of the mannequin, along with a collection of survey inhomogeneity checks. 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 purposes. First, to element the modeling/methodology selections of the cosmic shear analysis, Wood Ranger Power Shears reviews and Wood Ranger Power Shears reviews the robustness of our results to stated choices. Second, to build on the null-assessments of Paper I and present that our information vector (and cosmology) usually are not inclined to contamination from systematic effects, similar to correlated errors in the point-spread perform (PSF) modeling. Finally, we test the influence of spatial inhomogeneity in the entire finish-to-finish pipeline used to extract the cosmology constraints. As highlighted in each Paper I and Paper II, the DECADE dataset incorporates some unique characteristics relative to other WL datasets; significantly, the spatial inhomogeneity within the image knowledge coming from this dataset’s origin as an amalgamation of many alternative public observing programs.

We carry out a collection of assessments where we rerun the tip-to-end pipeline for various subsets of our knowledge - the place each subset incorporates particular kinds of galaxies (purple/blue, faint/vivid and so forth.) or accommodates objects measured in regions of the sky with higher/worse image quality (adjustments in seeing, airmass, interstellar extinction and so on.) - and present that our cosmology constraints are robust throughout such subsets. This paper is structured as follows. In Section 2, we briefly describe the DECADE form catalog, and Wood Ranger Power Shears reviews in Section 3, we present the cosmology model used within the DECADE cosmic shear project. In Section 4, we outline the totally different parts required for parameter inference, together with our analytic covariance matrix. In Section 5, we examine the robustness of our constraints throughout modeling alternative in simulated information vectors. Section 6 particulars our assessments on the sensitivity of our parameter constraints to spatial inhomoegenity and to completely different selections of the source galaxy catalog. The catalog is launched in Paper I, alongside a set of null-assessments and shear calibrations made using picture simulations of the survey knowledge.