Jump to content

The DECADE Cosmic Shear Project III: Validation Of Analysis Pipeline Using Spatially Inhomogeneous Data: Difference between revisions

From The Stars Are Right
mNo edit summary
mNo edit summary
 
(One intermediate revision by one other user not shown)
Line 1: Line 1:
<br>We present 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) in the northern Galactic cap. The catalog derives from a large number of disparate observing applications and is due to this fact extra inhomogeneous across the sky in comparison with current lensing surveys. First, we use simulated data-vectors to show the sensitivity of our constraints to 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 done for [https://koseongnam.com/kandisparer01 Wood Ranger Power Shears shop] forty-six subsets of the info and [https://gitea.tryinvisia.us/peterjudd57875 Wood Ranger Power Shears shop] is carried out in a totally constant method: for each subset of the data, we re-derive the photometric redshift estimates, shear calibrations, survey switch features, the info vector, measurement covariance, and finally, the cosmological constraints. Our outcomes present that present analysis strategies for weak lensing cosmology will be pretty resilient towards inhomogeneous datasets.<br><br><br><br>This additionally motivates exploring a wider vary of picture knowledge for pursuing such cosmological constraints. Over the previous two decades, weak gravitational lensing (also known 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 back to the refined bending of gentle from distant "source galaxies" as a consequence of the big-scale matter distribution between the supply and the observer (Bartelmann & Schneider 2001). Thus, weak lensing, by means of its sensitivity to the matter distribution, probes the massive-scale structure (LSS) of our Universe and any processes that influence this structure; including cosmological processes resembling modified gravity (e.g., Schmidt 2008) and primordial signatures (e.g., Anbajagane et al. 2024c; Goldstein et al. 2024), in addition to a wide number of astrophysical processes (e.g., Chisari et al.<br><br><br><br>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 landscape of cosmological probes, the first of which is that it's an unbiased tracer of the density discipline - unlike other tracers,  [https://gitea.vidoks.fr/ahmadpritt0433 Wood Ranger Power Shears shop] [https://git.clarue.net/arteagle426648 Wood Ranger Power Shears features] [https://git.bp-web.app/angelinelavoie buy Wood Ranger Power Shears] [https://pascol.bio/karmawashburn Wood Ranger Power Shears specs] features equivalent to galaxies - and does not require modeling or marginalizing over an associated 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 a part of a sequence of works detailing the DECADE cosmic shear analysis. Anbajagane & Chang et al. 2025a (hereafter Paper I) describes the form measurement methodology, the derivation of the final cosmology sample, the robustness assessments, and also the image simulation pipeline from which we quantify the shear calibration uncertainty of this sample. Anbajagane et al. (2025b, hereafter Paper II) derives each the tomographic bins and [https://thestarsareright.org/index.php/User:BrigetteStarks3 Wood Ranger Power Shears shop] calibrated redshift distributions for our cosmology pattern, along with a collection of validation assessments.<br><br><br><br>This work (Paper III) describes the methodology and validation of the mannequin, in addition to a series of survey inhomogeneity checks. Finally Anbajagane & Chang et al. 2025c (hereafter Paper IV) exhibits our cosmic shear measurements and presents the corresponding constraints on cosmological models. This work serves three, key functions. First, to element the modeling/methodology decisions of the cosmic shear evaluation, and the robustness of our outcomes to mentioned decisions. Second, to build on the null-assessments of Paper I and present that our information vector (and cosmology) are usually not vulnerable to contamination from systematic results, reminiscent of correlated errors in the point-spread function (PSF) modeling. Finally, we test the influence of spatial inhomogeneity in the complete end-to-end pipeline used to extract the cosmology constraints. As highlighted in both Paper I and Paper II, the DECADE dataset contains some unique characteristics relative to different WL datasets; particularly, the spatial inhomogeneity in the image data coming from this dataset’s origin as an amalgamation of many different public observing packages.<br><br><br><br>We carry out a set of tests where we rerun the tip-to-finish pipeline for various subsets of our knowledge - the place every subset contains particular kinds of galaxies (crimson/blue, faint/vibrant etc.) or accommodates objects measured in areas of the sky with higher/worse image high quality (changes in seeing, airmass, interstellar extinction and so forth.) - and show that our cosmology constraints are strong 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 venture. In Section 4, we outline the different elements required for parameter inference, together with our analytic covariance matrix. In Section 5, we verify the robustness of our constraints across modeling selection in simulated information vectors. Section 6 particulars our assessments on the sensitivity of our parameter constraints to spatial inhomoegenity and to different selections of the supply galaxy catalog. The catalog is launched in Paper I, alongside a set of null-checks and shear calibrations made utilizing image simulations of the survey data.<br>
<br>We current the pipeline for [https://links.cleverlybox.com/loganacker3535 garden power shears] shears the cosmic shear analysis 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) in the northern Galactic cap. The catalog derives from a lot of disparate observing packages and is due to this fact extra inhomogeneous throughout the sky in comparison with current lensing surveys. First, we use simulated data-vectors to show the sensitivity of our constraints to totally different evaluation 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 info and is carried out in a fully constant method: for every subset of the data, we re-derive the photometric redshift estimates, shear calibrations, survey transfer features, the information vector, measurement covariance, and at last, the cosmological constraints. Our outcomes show that existing analysis methods for weak lensing cosmology might be pretty resilient towards inhomogeneous datasets.<br><br><br><br>This additionally motivates exploring a wider range of image data for pursuing such cosmological constraints. Over the previous two many years, weak gravitational lensing (additionally known 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 gentle from distant "source galaxies" resulting from the massive-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 big-scale construction (LSS) of our Universe and any processes that impact this structure; including cosmological processes akin to modified gravity (e.g., Schmidt 2008) and primordial signatures (e.g., Anbajagane et al. 2024c; Goldstein et al. 2024), as well as a large variety of astrophysical processes (e.g., Chisari et al.<br><br><br><br>2018; Schneider et al. 2019; Aricò et al. 2021; Grandis et al. 2024; Bigwood et al. 2024). Weak lensing has many novel advantages within the panorama of cosmological probes, the primary of which is that it's an unbiased tracer of the density field - not like other tracers, reminiscent of galaxies - and [https://bookings.ecocexhibition.com/node/101904 Wood Ranger Power Shears website] does not require modeling or marginalizing over an associated bias parameter (Bartelmann & Schneider 2001). For these reasons, it is one of the leading probes of cosmology and has delivered some of our best constraints on cosmological parameters. This paper is a part of a series 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 final cosmology sample, the robustness assessments, and [https://valetinowiki.racing/wiki/National_Geographic_Magazine_Volume_31_Number_6_The_Conversion_Of_Old_Newspapers_And_Candle_Ends_Into_Fuel Wood Ranger Power Shears website] 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 pattern, together with a series of validation assessments.<br><br><br><br>This work (Paper III) describes the methodology and validation of the model, along with a sequence of survey inhomogeneity exams. 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 element the modeling/methodology decisions of the cosmic shear evaluation, and the robustness of our results to mentioned decisions. Second, to build on the null-checks of Paper I and present that our information vector (and cosmology) are not prone to contamination from systematic results, corresponding to correlated errors in the point-unfold function (PSF) modeling. Finally, we test the affect of spatial inhomogeneity in all the finish-to-finish pipeline used to extract the cosmology constraints. As highlighted in both Paper I and Paper II, the DECADE dataset accommodates some unique characteristics relative to different WL datasets; significantly, the spatial inhomogeneity within the picture knowledge coming from this dataset’s origin as an amalgamation of many various public observing packages.<br><br><br><br>We perform a suite of assessments the place we rerun the tip-to-finish pipeline for various subsets of our data - the place each subset comprises particular sorts of galaxies (purple/blue, faint/vibrant and many others.) or incorporates objects measured in areas of the sky with higher/worse picture high quality (modifications in seeing, airmass, interstellar extinction etc.) - and show that our cosmology constraints are robust throughout such subsets. This paper is structured as follows. In Section 2, we briefly describe the DECADE shape catalog, and in Section 3, we current the cosmology mannequin used in the DECADE cosmic shear venture. In Section 4, [https://apoloz-git.md-desk.ru/connor08z20992 Wood Ranger Power Shears coupon] [http://gite.limi.ink/claudiojackson Wood Ranger Power Shears order now] [https://gitlab.rails365.net/winfredskidmor Wood Ranger Power Shears USA] Shears warranty we define the completely different parts required for parameter inference, including our analytic covariance matrix. In Section 5, we examine the robustness of our constraints across modeling alternative in simulated information vectors. Section 6 particulars 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 set of null-exams and shear calibrations made utilizing picture simulations of the survey data.<br>

Latest revision as of 09:28, 6 November 2025


We current the pipeline for garden power shears shears the cosmic shear analysis 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) in the northern Galactic cap. The catalog derives from a lot of disparate observing packages and is due to this fact extra inhomogeneous throughout the sky in comparison with current lensing surveys. First, we use simulated data-vectors to show the sensitivity of our constraints to totally different evaluation 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 info and is carried out in a fully constant method: for every subset of the data, we re-derive the photometric redshift estimates, shear calibrations, survey transfer features, the information vector, measurement covariance, and at last, the cosmological constraints. Our outcomes show that existing analysis methods for weak lensing cosmology might be pretty resilient towards inhomogeneous datasets.



This additionally motivates exploring a wider range of image data for pursuing such cosmological constraints. Over the previous two many years, weak gravitational lensing (additionally known 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 gentle from distant "source galaxies" resulting from the massive-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 big-scale construction (LSS) of our Universe and any processes that impact this structure; including cosmological processes akin to modified gravity (e.g., Schmidt 2008) and primordial signatures (e.g., Anbajagane et al. 2024c; Goldstein et al. 2024), as well as a large variety 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 within the panorama of cosmological probes, the primary of which is that it's an unbiased tracer of the density field - not like other tracers, reminiscent of galaxies - and Wood Ranger Power Shears website does not require modeling or marginalizing over an associated bias parameter (Bartelmann & Schneider 2001). For these reasons, it is one of the leading probes of cosmology and has delivered some of our best constraints on cosmological parameters. This paper is a part of a series 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 final cosmology sample, the robustness assessments, and Wood Ranger Power Shears website 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 pattern, together with a series of validation assessments.



This work (Paper III) describes the methodology and validation of the model, along with a sequence of survey inhomogeneity exams. 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 element the modeling/methodology decisions of the cosmic shear evaluation, and the robustness of our results to mentioned decisions. Second, to build on the null-checks of Paper I and present that our information vector (and cosmology) are not prone to contamination from systematic results, corresponding to correlated errors in the point-unfold function (PSF) modeling. Finally, we test the affect of spatial inhomogeneity in all the finish-to-finish pipeline used to extract the cosmology constraints. As highlighted in both Paper I and Paper II, the DECADE dataset accommodates some unique characteristics relative to different WL datasets; significantly, the spatial inhomogeneity within the picture knowledge coming from this dataset’s origin as an amalgamation of many various public observing packages.



We perform a suite of assessments the place we rerun the tip-to-finish pipeline for various subsets of our data - the place each subset comprises particular sorts of galaxies (purple/blue, faint/vibrant and many others.) or incorporates objects measured in areas of the sky with higher/worse picture high quality (modifications in seeing, airmass, interstellar extinction etc.) - and show that our cosmology constraints are robust throughout such subsets. This paper is structured as follows. In Section 2, we briefly describe the DECADE shape catalog, and in Section 3, we current the cosmology mannequin used in the DECADE cosmic shear venture. In Section 4, Wood Ranger Power Shears coupon Wood Ranger Power Shears order now Wood Ranger Power Shears USA Shears warranty we define the completely different parts required for parameter inference, including our analytic covariance matrix. In Section 5, we examine the robustness of our constraints across modeling alternative in simulated information vectors. Section 6 particulars 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 set of null-exams and shear calibrations made utilizing picture simulations of the survey data.