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Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics

Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precision thanks to their sensitivity to the non-Gaussian features of large-scale structure. The aim of the Higher-Order Weak...

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Bibliographic Details
Main Authors: Ajani, Virginia (Author) , Jahnke, Knud (Author) , Seidel, Gregor (Author) , Sakr, Ziad (Author)
Format: Article (Journal)
Language:English
Published: 07 July 2023
In: Astronomy and astrophysics
Year: 2023, Volume: 675, Pages: 1-32
ISSN:1432-0746
DOI:10.1051/0004-6361/202346017
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1051/0004-6361/202346017
Verlag, lizenzpflichtig, Volltext: https://www.aanda.org/articles/aa/abs/2023/07/aa46017-23/aa46017-23.html
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Author Notes:Euclid collaboration: V. Ajani, M. Baldi, A. Barthelemy, A. Boyle, P. Burger, V.F. Cardone, S. Cheng, S. Codis, C. Giocoli, J. Harnois-Déraps, S. Heydenreich, V. Kansal, M. Kilbinger, L. Linke, C. Llinares, N. Martinet, K. Jahnke, G. Seidel, M. Maturi, Z. Sakr [und 193 weitere]
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Summary:Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precision thanks to their sensitivity to the non-Gaussian features of large-scale structure. The aim of the Higher-Order Weak Lensing Statistics (HOWLS) project is to assess, compare, and combine the constraining power of ten different HOS on a common set of Euclid-like mocks, derived from N-body simulations. In this first paper of the HOWLS series, we computed the nontomographic (Ωm, σ8) Fisher information for the one-point probability distribution function, peak counts, Minkowski functionals, Betti numbers, persistent homology Betti numbers and heatmap, and scattering transform coefficients, and we compare them to the shear and convergence two-point correlation functions in the absence of any systematic bias. We also include forecasts for three implementations of higher-order moments, but these cannot be robustly interpreted as the Gaussian likelihood assumption breaks down for these statistics. ...
Item Description:Gesehen am 14.11.2023
Physical Description:Online Resource
ISSN:1432-0746
DOI:10.1051/0004-6361/202346017

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