The University of Southampton
University of Southampton Institutional Repository

Beyond the 3rd moment: a practical study of using lensing convergence CDFs for cosmology with DES Y3

Beyond the 3rd moment: a practical study of using lensing convergence CDFs for cosmology with DES Y3
Beyond the 3rd moment: a practical study of using lensing convergence CDFs for cosmology with DES Y3

Widefield surveys probe clustered scalar fields – such as galaxy counts, lensing potential, etc. – which are sensitive to different cosmological and astrophysical processes. Constraining such processes depends on the statistics that summarize the field. We explore the cumulative distribution function (CDF) as a summary of the galaxy lensing convergence field. Using a suite of N-body light-cone simulations, we show the CDFs’ constraining power is modestly better than the second and third moments, as CDFs approximately capture information from all moments. We study the practical aspects of applying CDFs to data, using the Dark Energy Survey (DES Y3) data as an example, and compute the impact of different systematics on the CDFs. The contributions from the point spread function and reduced shear approximation are ≲ 1 per cent of the total signal. Source clustering effects and baryon imprints contribute 1–10 per cent. Enforcing scale cuts to limit systematics-driven biases in parameter constraints degrade these constraints a noticeable amount, and this degradation is similar for the CDFs and the moments. We detect correlations between the observed convergence field and the shape noise field at 13σ. The non-Gaussian correlations in the noise field must be modelled accurately to use the CDFs, or other statistics sensitive to all moments, as a rigorous cosmology tool.

astro-ph.CO, large-scale structure of Universe – cosmology: observations
1365-2966
5530-5554
Anbajagane, D.
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Chang, C.
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Banerjee, A.
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Abel, T.
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Choi, A.
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The Dark Energy Survey Collaboration
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Anbajagane, D., Chang, C. and Banerjee, A. , The Dark Energy Survey Collaboration (2023) Beyond the 3rd moment: a practical study of using lensing convergence CDFs for cosmology with DES Y3. Monthly Notices of the Royal Astronomical Society, 526 (4), 5530-5554. (doi:10.1093/mnras/stad3118).

Record type: Article

Abstract

Widefield surveys probe clustered scalar fields – such as galaxy counts, lensing potential, etc. – which are sensitive to different cosmological and astrophysical processes. Constraining such processes depends on the statistics that summarize the field. We explore the cumulative distribution function (CDF) as a summary of the galaxy lensing convergence field. Using a suite of N-body light-cone simulations, we show the CDFs’ constraining power is modestly better than the second and third moments, as CDFs approximately capture information from all moments. We study the practical aspects of applying CDFs to data, using the Dark Energy Survey (DES Y3) data as an example, and compute the impact of different systematics on the CDFs. The contributions from the point spread function and reduced shear approximation are ≲ 1 per cent of the total signal. Source clustering effects and baryon imprints contribute 1–10 per cent. Enforcing scale cuts to limit systematics-driven biases in parameter constraints degrade these constraints a noticeable amount, and this degradation is similar for the CDFs and the moments. We detect correlations between the observed convergence field and the shape noise field at 13σ. The non-Gaussian correlations in the noise field must be modelled accurately to use the CDFs, or other statistics sensitive to all moments, as a rigorous cosmology tool.

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Accepted/In Press date: 9 October 2023
e-pub ahead of print date: 12 October 2023
Published date: 1 December 2023
Additional Information: Publisher Copyright: © 2023 The Author(s).
Keywords: astro-ph.CO, large-scale structure of Universe – cosmology: observations

Identifiers

Local EPrints ID: 484731
URI: http://eprints.soton.ac.uk/id/eprint/484731
ISSN: 1365-2966
PURE UUID: c32de467-93e2-4dda-8a58-7bed362fcff7
ORCID for Mathew Smith: ORCID iD orcid.org/0000-0002-3321-1432
ORCID for Philip Wiseman: ORCID iD orcid.org/0000-0002-3073-1512

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Date deposited: 20 Nov 2023 17:52
Last modified: 27 Apr 2024 02:00

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Contributors

Author: D. Anbajagane
Author: C. Chang
Author: A. Banerjee
Author: T. Abel
Author: M. Gatti
Author: V. Ajani
Author: A. Alarcon
Author: A. Amon
Author: E.J. Baxter
Author: K. Bechtol
Author: M.R. Becker
Author: G.M. Bernstein
Author: A. Campos
Author: A. Carnero Rosell
Author: M. Carrasco Kind
Author: R. Chen
Author: A. Choi
Author: C. Davis
Author: J. DeRose
Author: H.T. Diehl
Author: S. Dodelson
Author: C. Doux
Author: A. Drlica-Wagner
Author: K. Eckert
Author: J. Elvin-Poole
Author: S. Everett
Author: A. Ferté
Author: D. Gruen
Author: R.A. Gruendl
Author: I. Harrison
Author: W.G. Hartley
Author: E.M. Huff
Author: B. Jain
Author: M. Jarvis
Author: N. Jeffrey
Author: T. Kacprzak
Author: N. Kokron
Author: N. Kuropatkin
Author: P.-F. Leget
Author: N. MacCrann
Author: J. McCullough
Author: J. Myles
Author: A. Navarro-Alsina
Author: S. Pandey
Author: J. Prat
Author: M. Raveri
Author: R.P. Rollins
Author: A. Roodman
Author: E.S. Rykoff
Author: C. Sánchez
Author: L.F. Secco
Author: I. Sevilla-Noarbe
Author: E. Sheldon
Author: T. Shin
Author: M.A. Troxel
Author: I. Tutusaus
Author: L. Whiteway
Author: B. Yanny
Author: B. Yin
Author: Y. Zhang
Author: T.M.C. Abbott
Author: S. Allam
Author: M. Aguena
Author: O. Alves
Author: F. Andrade-Oliveira
Author: J. Annis
Author: D. Bacon
Author: J. Blazek
Author: D. Brooks
Author: R. Cawthon
Author: L.N. da Costa
Author: M.E.S. Pereira
Author: T.M. Davis
Author: S. Desai
Author: P. Doel
Author: I. Ferrero
Author: J. Frieman
Author: G. Giannini
Author: G. Gutierrez
Author: S.R. Hinton
Author: D.L. Hollowood
Author: K. Honscheid
Author: D.J. James
Author: K. Kuehn
Author: O. Lahav
Author: J.L. Marshall
Author: J. Mena-Fernández
Author: F. Menanteau
Author: R. Miquel
Author: A. Palmese
Author: A. Pieres
Author: A.A. Plazas Malagón
Author: K. Reil
Author: E. Sanchez
Author: Mathew Smith ORCID iD
Author: M.E.C. Swanson
Author: G. Tarle
Author: Philip Wiseman ORCID iD
Corporate Author: The Dark Energy Survey Collaboration

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