Euclid : Effects of sample covariance on the number counts of galaxy clusters
Journal
Date Issued
2021
Author(s)
Fumagalli, A.
•
•
•
•
Costanzi, M.
•
•
•
•
Amara, A.
•
•
•
Bodendorf, C.
•
•
•
Brinchmann, J.
•
•
•
•
•
Cimatti, A.
•
Cledassou, R.
•
Conselice, C. J.
•
•
Costille, A.
•
Cropper, M.
•
Degaudenzi, H.
•
Douspis, M.
•
Dubath, F.
•
Dusini, S.
•
Ealet, A.
•
Fosalba, P.
•
•
•
•
•
•
Grupp, F.
•
Guzzo, L.
•
Haugan, S. V. H.
•
Hoekstra, H.
•
Holmes, W.
•
Hormuth, F.
•
Jahnke, K.
•
Kiessling, A.
•
Kilbinger, M.
•
Kitching, T.
•
Kümmel, M.
•
Kunz, M.
•
Kurki-Suonio, H.
•
Laureijs, R.
•
Lilje, P. B.
•
Lloro, I.
•
•
Marggraf, O.
•
Markovic, K.
•
Massey, R.
•
•
Meylan, G.
•
Moscardini, L.
•
Niemi, S. M.
•
Padilla, C.
•
Paltani, S.
•
Pasian, F.
•
Pedersen, K.
•
Pettorino, V.
•
Pires, S.
•
Poncet, M.
•
Popa, L.
•
•
Raison, F.
•
Rhodes, J.
•
Roncarelli, M.
•
Rossetti, E.
•
Saglia, R.
•
•
Schneider, P.
•
Secroun, A.
•
Seidel, G.
•
Serrano, S.
•
Sirignano, C.
•
Sirri, G.
•
Taylor, A. N.
•
Tereno, I.
•
Toledo-Moreo, R.
•
Valentijn, E. A.
•
•
Wang, Y.
•
Weller, J.
•
Zamorani, G.
•
Zoubian, J.
•
•
Congedo, G.
•
Conversi, L.
•
Mei, S.
•
Moresco, M.
•
Vassallo, T.
Abstract
Aims: We investigate the contribution of shot-noise and sample variance to uncertainties in the cosmological parameter constraints inferred from cluster number counts, in the context of the Euclid survey. Methods: By analysing 1000 Euclid-like light cones, produced with the PINOCCHIO approximate method, we validated the analytical model of Hu & Kravtsov (2003, ApJ, 584, 702) for the covariance matrix, which takes into account both sources of statistical error. Then, we used such a covariance to define the likelihood function that is better equipped to extract cosmological information from cluster number counts at the level of precision that will be reached by the future Euclid photometric catalogs of galaxy clusters. We also studied the impact of the cosmology dependence of the covariance matrix on the parameter constraints. Results: The analytical covariance matrix reproduces the variance measured from simulations within the 10 percent; such a difference has no sizeable effect on the error of cosmological parameter constraints at this level of statistics. Also, we find that the Gaussian likelihood with full covariance is the only model that provides an unbiased inference of cosmological parameters without underestimating the errors, and that the cosmology-dependence of the covariance must be taken into account.
Volume
652
Start page
A21
Issn Identifier
0004-6361
Ads BibCode
2021A&A...652A..21F
Rights
open.access
File(s)![Thumbnail Image]()
![Thumbnail Image]()
Loading...
Name
aa40592-21.pdf
Description
Pdf editoriale
Size
1.29 MB
Format
Adobe PDF
Checksum (MD5)
1f3e5f6ed5d1cb79f5ce9f0e6469e8d1
Loading...
Name
2102.08914.pdf
Description
preprint
Size
1.3 MB
Format
Adobe PDF
Checksum (MD5)
88162b5d4f700c7a599fb098bc205a1c