Home > Research > Publications & Outputs > Euclid preparation.

Electronic data

  • sciotti_2024

    Accepted author manuscript, 1.61 MB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

  • pdf

    949 KB, PDF document

Links

Text available via DOI:

View graph of relations

Euclid preparation.: LII. Forecast impact of super-sample covariance on 3×2pt analysis with Euclid

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Euclid preparation. LII. Forecast impact of super-sample covariance on 3×2pt analysis with Euclid. / Euclid Collaboration.
In: Astronomy and Astrophysics, Vol. 691, A318, 24.11.2024.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Euclid Collaboration. Euclid preparation. LII. Forecast impact of super-sample covariance on 3×2pt analysis with Euclid. Astronomy and Astrophysics. 2024 Nov 24;691:A318. doi: 10.1051/0004-6361/202348389

Author

Euclid Collaboration. / Euclid preparation. LII. Forecast impact of super-sample covariance on 3×2pt analysis with Euclid. In: Astronomy and Astrophysics. 2024 ; Vol. 691.

Bibtex

@article{858cd096f7b1422f974563cb77e5e993,
title = "Euclid preparation.: LII. Forecast impact of super-sample covariance on 3×2pt analysis with Euclid",
abstract = "Deviations from Gaussianity in the distribution of the fields probed by large-scale structure surveys generate additional terms in the data covariance matrix, increasing the uncertainties in the measurement of the cosmological parameters. Super-sample covariance (SSC) is among the largest of these non-Gaussian contributions, with the potential to significantly degrade constraints on some of the parameters of the cosmological model under study -- especially for weak lensing cosmic shear. We compute and validate the impact of SSC on the forecast uncertainties on the cosmological parameters for the Euclid photometric survey, obtained with a Fisher matrix analysis, both considering the Gaussian covariance alone and adding the SSC term -- computed through the public code PySSC. The photometric probes are considered in isolation and combined in the `3$\times$2pt' analysis. We find the SSC impact to be non-negligible -- halving the Figure of Merit of the dark energy parameters ($w_0$, $w_a$) in the 3$\times$2pt case and substantially increasing the uncertainties on $\Omega_{{\rm m},0}, w_0$, and $\sigma_8$ for cosmic shear; photometric galaxy clustering, on the other hand, is less affected due to the lower probe response. The relative impact of SSC does not show significant changes under variations of the redshift binning scheme, while it is smaller for weak lensing when marginalising over the multiplicative shear bias nuisance parameters, which also leads to poorer constraints on the cosmological parameters. Finally, we explore how the use of prior information on the shear and galaxy bias changes the SSC impact. Improving shear bias priors does not have a significant impact, while galaxy bias must be calibrated to sub-percent level to increase the Figure of Merit by the large amount needed to achieve the value when SSC is not included.",
keywords = "Astrophysics - Cosmology and Nongalactic Astrophysics",
author = "{Euclid Collaboration} and D. Sciotti and {Gouyou Beauchamps}, S. and Cardone, {V. F.} and S. Camera and I. Tutusaus and F. Lacasa and A. Barreira and A. Gorce and M. Aubert and P. Baratta and Upham, {R. E.} and M. Bonici and C. Carbone and S. Casas and S. Ili{\'c} and M. Martinelli and Z. Sakr and A. Schneider and R. Maoli and R. Scaramella and S. Escoffier and W. Gillard and N. Aghanim and A. Amara and S. Andreon and N. Auricchio and M. Baldi and S. Bardelli and D. Bonino and E. Branchini and M. Brescia and J. Brinchmann and V. Capobianco and J. Carretero and Castander, {F. J.} and M. Castellano and S. Cavuoti and A. Cimatti and R. Cledassou and G. Congedo and Conselice, {C. J.} and L. Conversi and Y. Copin and L. Corcione and F. Courbin and Courtois, {H. M.} and M. Cropper and {Da Silva}, A. and I. Hook",
year = "2024",
month = nov,
day = "24",
doi = "10.1051/0004-6361/202348389",
language = "English",
volume = "691",
journal = "Astronomy and Astrophysics",
issn = "1432-0746",
publisher = "EDP Sciences",

}

RIS

TY - JOUR

T1 - Euclid preparation.

T2 - LII. Forecast impact of super-sample covariance on 3×2pt analysis with Euclid

AU - Euclid Collaboration

AU - Sciotti, D.

AU - Gouyou Beauchamps, S.

AU - Cardone, V. F.

AU - Camera, S.

AU - Tutusaus, I.

AU - Lacasa, F.

AU - Barreira, A.

AU - Gorce, A.

AU - Aubert, M.

AU - Baratta, P.

AU - Upham, R. E.

AU - Bonici, M.

AU - Carbone, C.

AU - Casas, S.

AU - Ilić, S.

AU - Martinelli, M.

AU - Sakr, Z.

AU - Schneider, A.

AU - Maoli, R.

AU - Scaramella, R.

AU - Escoffier, S.

AU - Gillard, W.

AU - Aghanim, N.

AU - Amara, A.

AU - Andreon, S.

AU - Auricchio, N.

AU - Baldi, M.

AU - Bardelli, S.

AU - Bonino, D.

AU - Branchini, E.

AU - Brescia, M.

AU - Brinchmann, J.

AU - Capobianco, V.

AU - Carretero, J.

AU - Castander, F. J.

AU - Castellano, M.

AU - Cavuoti, S.

AU - Cimatti, A.

AU - Cledassou, R.

AU - Congedo, G.

AU - Conselice, C. J.

AU - Conversi, L.

AU - Copin, Y.

AU - Corcione, L.

AU - Courbin, F.

AU - Courtois, H. M.

AU - Cropper, M.

AU - Da Silva, A.

AU - Hook, I.

PY - 2024/11/24

Y1 - 2024/11/24

N2 - Deviations from Gaussianity in the distribution of the fields probed by large-scale structure surveys generate additional terms in the data covariance matrix, increasing the uncertainties in the measurement of the cosmological parameters. Super-sample covariance (SSC) is among the largest of these non-Gaussian contributions, with the potential to significantly degrade constraints on some of the parameters of the cosmological model under study -- especially for weak lensing cosmic shear. We compute and validate the impact of SSC on the forecast uncertainties on the cosmological parameters for the Euclid photometric survey, obtained with a Fisher matrix analysis, both considering the Gaussian covariance alone and adding the SSC term -- computed through the public code PySSC. The photometric probes are considered in isolation and combined in the `3$\times$2pt' analysis. We find the SSC impact to be non-negligible -- halving the Figure of Merit of the dark energy parameters ($w_0$, $w_a$) in the 3$\times$2pt case and substantially increasing the uncertainties on $\Omega_{{\rm m},0}, w_0$, and $\sigma_8$ for cosmic shear; photometric galaxy clustering, on the other hand, is less affected due to the lower probe response. The relative impact of SSC does not show significant changes under variations of the redshift binning scheme, while it is smaller for weak lensing when marginalising over the multiplicative shear bias nuisance parameters, which also leads to poorer constraints on the cosmological parameters. Finally, we explore how the use of prior information on the shear and galaxy bias changes the SSC impact. Improving shear bias priors does not have a significant impact, while galaxy bias must be calibrated to sub-percent level to increase the Figure of Merit by the large amount needed to achieve the value when SSC is not included.

AB - Deviations from Gaussianity in the distribution of the fields probed by large-scale structure surveys generate additional terms in the data covariance matrix, increasing the uncertainties in the measurement of the cosmological parameters. Super-sample covariance (SSC) is among the largest of these non-Gaussian contributions, with the potential to significantly degrade constraints on some of the parameters of the cosmological model under study -- especially for weak lensing cosmic shear. We compute and validate the impact of SSC on the forecast uncertainties on the cosmological parameters for the Euclid photometric survey, obtained with a Fisher matrix analysis, both considering the Gaussian covariance alone and adding the SSC term -- computed through the public code PySSC. The photometric probes are considered in isolation and combined in the `3$\times$2pt' analysis. We find the SSC impact to be non-negligible -- halving the Figure of Merit of the dark energy parameters ($w_0$, $w_a$) in the 3$\times$2pt case and substantially increasing the uncertainties on $\Omega_{{\rm m},0}, w_0$, and $\sigma_8$ for cosmic shear; photometric galaxy clustering, on the other hand, is less affected due to the lower probe response. The relative impact of SSC does not show significant changes under variations of the redshift binning scheme, while it is smaller for weak lensing when marginalising over the multiplicative shear bias nuisance parameters, which also leads to poorer constraints on the cosmological parameters. Finally, we explore how the use of prior information on the shear and galaxy bias changes the SSC impact. Improving shear bias priors does not have a significant impact, while galaxy bias must be calibrated to sub-percent level to increase the Figure of Merit by the large amount needed to achieve the value when SSC is not included.

KW - Astrophysics - Cosmology and Nongalactic Astrophysics

U2 - 10.1051/0004-6361/202348389

DO - 10.1051/0004-6361/202348389

M3 - Journal article

VL - 691

JO - Astronomy and Astrophysics

JF - Astronomy and Astrophysics

SN - 1432-0746

M1 - A318

ER -