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Euclid and KiDS-1000: Quantifying the impact of source-lens clustering on cosmic shear analyses

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Euclid and KiDS-1000: Quantifying the impact of source-lens clustering on cosmic shear analyses. / Euclid Collaboration.
In: Astronomy and Astrophysics, Vol. 693, A210, 31.01.2025.

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Euclid Collaboration. Euclid and KiDS-1000: Quantifying the impact of source-lens clustering on cosmic shear analyses. Astronomy and Astrophysics. 2025 Jan 31;693:A210. Epub 2025 Jan 24. doi: 10.1051/0004-6361/202451494

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Euclid Collaboration. / Euclid and KiDS-1000 : Quantifying the impact of source-lens clustering on cosmic shear analyses. In: Astronomy and Astrophysics. 2025 ; Vol. 693.

Bibtex

@article{eb93f3d02e3d478f9c797317e8560d31,
title = "Euclid and KiDS-1000: Quantifying the impact of source-lens clustering on cosmic shear analyses",
abstract = "Cosmic shear is a powerful probe of cosmological models and the transition from current Stage-III surveys such as the Kilo-Degree Survey (KiDS) to the increased area and redshift range of Stage IV surveys such as Euclid will significantly increase the precision of weak lensing analyses. However, with increasing precision, the accuracy of model assumptions needs to be evaluated. In this study, we quantify the impact of the correlated clustering of weak lensing source galaxies with the surrounding large-scale structure, known as source-lens clustering (SLC), which is commonly neglected. We include the impact of realistic scatter in photometric redshift estimates, which impacts the assignment of galaxies to tomographic bins and increases the SLC. For this, we use simulated cosmological datasets with realistically distributed galaxies and measure shear correlation functions for both clustered and uniformly distributed source galaxies. Cosmological analyses are performed for both scenarios to quantify the impact of SLC on parameter inference for a KiDS-like and a Euclid-like setting. We find for Stage III surveys such as KiDS, SLC has a minor impact when accounting for nuisance parameters for intrinsic alignments and shifts of tomographic bins, as these nuisance parameters absorb the effect of SLC, thus changing their original meaning. For KiDS (Euclid), the inferred intrinsic alignment amplitude AIA changes from 0.11+0.44−0.46 (−0.009+0.079−0.080) for data without SLC to 0.28+0.42−0.44 (0.022+0.081−0.082) with SLC. However, fixed nuisance parameters lead to shifts in S8 and Ωm, emphasizing the need for including SLC in the modelling. For Euclid we find that σ8, Ωm, and w0 are shifted by 0.19, 0.12, and 0.12σ, respectively, when including free nuisance parameters, and by 0.20, 0.16, and 0.32σ when fixing the nuisance parameters. Consequently, SLC on its own has only a small impact on the inferred parameter inference when using uninformative priors for nuisance parameters. However, SLC might conspire with the breakdown of other modelling assumptions, such as magnification bias or source obscuration, which could collectively exert a more pronounced effect on inferred parameters.",
author = "{Euclid Collaboration} and L. Linke and S. Unruh and A. Wittje and T. Schrabback and S. Grandis and M. Asgari and A. Dvornik and H. Hildebrandt and H. Hoekstra and B. Joachimi and R. Reischke and {van den Busch}, {J. L.} and Wright, {A. H.} and P. Schneider and N. Aghanim and B. Altieri and A. Amara and S. Andreon and N. Auricchio and C. Baccigalupi and M. Baldi and S. Bardelli and D. Bonino and E. Branchini and M. Brescia and J. Brinchmann and S. Camera and V. Capobianco and C. Carbone and Cardone, {V. F.} and J. Carretero and S. Casas and Castander, {F. J.} and M. Castellano and S. Cavuoti and A. Cimatti and G. Congedo and Conselice, {C. J.} and L. Conversi and Y. Copin and F. Courbin and Courtois, {H. M.} and {Da Silva}, A. and H. Degaudenzi and J. Dinis and M. Douspis and I. Hook and Taylor, {A. N.} and Y. Wang and J. Weller",
year = "2025",
month = jan,
day = "31",
doi = "10.1051/0004-6361/202451494",
language = "English",
volume = "693",
journal = "Astronomy and Astrophysics",
issn = "0004-6361",
publisher = "EDP Sciences",

}

RIS

TY - JOUR

T1 - Euclid and KiDS-1000

T2 - Quantifying the impact of source-lens clustering on cosmic shear analyses

AU - Euclid Collaboration

AU - Linke, L.

AU - Unruh, S.

AU - Wittje, A.

AU - Schrabback, T.

AU - Grandis, S.

AU - Asgari, M.

AU - Dvornik, A.

AU - Hildebrandt, H.

AU - Hoekstra, H.

AU - Joachimi, B.

AU - Reischke, R.

AU - van den Busch, J. L.

AU - Wright, A. H.

AU - Schneider, P.

AU - Aghanim, N.

AU - Altieri, B.

AU - Amara, A.

AU - Andreon, S.

AU - Auricchio, N.

AU - Baccigalupi, C.

AU - Baldi, M.

AU - Bardelli, S.

AU - Bonino, D.

AU - Branchini, E.

AU - Brescia, M.

AU - Brinchmann, J.

AU - Camera, S.

AU - Capobianco, V.

AU - Carbone, C.

AU - Cardone, V. F.

AU - Carretero, J.

AU - Casas, S.

AU - Castander, F. J.

AU - Castellano, M.

AU - Cavuoti, S.

AU - Cimatti, A.

AU - Congedo, G.

AU - Conselice, C. J.

AU - Conversi, L.

AU - Copin, Y.

AU - Courbin, F.

AU - Courtois, H. M.

AU - Da Silva, A.

AU - Degaudenzi, H.

AU - Dinis, J.

AU - Douspis, M.

AU - Hook, I.

AU - Taylor, A. N.

AU - Wang, Y.

AU - Weller, J.

PY - 2025/1/31

Y1 - 2025/1/31

N2 - Cosmic shear is a powerful probe of cosmological models and the transition from current Stage-III surveys such as the Kilo-Degree Survey (KiDS) to the increased area and redshift range of Stage IV surveys such as Euclid will significantly increase the precision of weak lensing analyses. However, with increasing precision, the accuracy of model assumptions needs to be evaluated. In this study, we quantify the impact of the correlated clustering of weak lensing source galaxies with the surrounding large-scale structure, known as source-lens clustering (SLC), which is commonly neglected. We include the impact of realistic scatter in photometric redshift estimates, which impacts the assignment of galaxies to tomographic bins and increases the SLC. For this, we use simulated cosmological datasets with realistically distributed galaxies and measure shear correlation functions for both clustered and uniformly distributed source galaxies. Cosmological analyses are performed for both scenarios to quantify the impact of SLC on parameter inference for a KiDS-like and a Euclid-like setting. We find for Stage III surveys such as KiDS, SLC has a minor impact when accounting for nuisance parameters for intrinsic alignments and shifts of tomographic bins, as these nuisance parameters absorb the effect of SLC, thus changing their original meaning. For KiDS (Euclid), the inferred intrinsic alignment amplitude AIA changes from 0.11+0.44−0.46 (−0.009+0.079−0.080) for data without SLC to 0.28+0.42−0.44 (0.022+0.081−0.082) with SLC. However, fixed nuisance parameters lead to shifts in S8 and Ωm, emphasizing the need for including SLC in the modelling. For Euclid we find that σ8, Ωm, and w0 are shifted by 0.19, 0.12, and 0.12σ, respectively, when including free nuisance parameters, and by 0.20, 0.16, and 0.32σ when fixing the nuisance parameters. Consequently, SLC on its own has only a small impact on the inferred parameter inference when using uninformative priors for nuisance parameters. However, SLC might conspire with the breakdown of other modelling assumptions, such as magnification bias or source obscuration, which could collectively exert a more pronounced effect on inferred parameters.

AB - Cosmic shear is a powerful probe of cosmological models and the transition from current Stage-III surveys such as the Kilo-Degree Survey (KiDS) to the increased area and redshift range of Stage IV surveys such as Euclid will significantly increase the precision of weak lensing analyses. However, with increasing precision, the accuracy of model assumptions needs to be evaluated. In this study, we quantify the impact of the correlated clustering of weak lensing source galaxies with the surrounding large-scale structure, known as source-lens clustering (SLC), which is commonly neglected. We include the impact of realistic scatter in photometric redshift estimates, which impacts the assignment of galaxies to tomographic bins and increases the SLC. For this, we use simulated cosmological datasets with realistically distributed galaxies and measure shear correlation functions for both clustered and uniformly distributed source galaxies. Cosmological analyses are performed for both scenarios to quantify the impact of SLC on parameter inference for a KiDS-like and a Euclid-like setting. We find for Stage III surveys such as KiDS, SLC has a minor impact when accounting for nuisance parameters for intrinsic alignments and shifts of tomographic bins, as these nuisance parameters absorb the effect of SLC, thus changing their original meaning. For KiDS (Euclid), the inferred intrinsic alignment amplitude AIA changes from 0.11+0.44−0.46 (−0.009+0.079−0.080) for data without SLC to 0.28+0.42−0.44 (0.022+0.081−0.082) with SLC. However, fixed nuisance parameters lead to shifts in S8 and Ωm, emphasizing the need for including SLC in the modelling. For Euclid we find that σ8, Ωm, and w0 are shifted by 0.19, 0.12, and 0.12σ, respectively, when including free nuisance parameters, and by 0.20, 0.16, and 0.32σ when fixing the nuisance parameters. Consequently, SLC on its own has only a small impact on the inferred parameter inference when using uninformative priors for nuisance parameters. However, SLC might conspire with the breakdown of other modelling assumptions, such as magnification bias or source obscuration, which could collectively exert a more pronounced effect on inferred parameters.

U2 - 10.1051/0004-6361/202451494

DO - 10.1051/0004-6361/202451494

M3 - Journal article

VL - 693

JO - Astronomy and Astrophysics

JF - Astronomy and Astrophysics

SN - 0004-6361

M1 - A210

ER -