2026-04-14T04:25:50Zhttps://recercat.cat/oai/requestoai:recercat.cat:2445/2186822025-12-05T16:13:02Zcom_2072_1057col_2072_478904col_2072_478917
RECERCAT
author
Sciotti, D.
author
Gouyou Beauchamps, S.
author
Cardone, V.F.
author
Camera, S.
author
Tutusaus, I.
author
Lacasa, F.
author
Barreira, A.
author
Bonici, M.
author
Gorce, A.
author
Aubert, M.
author
Baratta, P.
author
Di Domizio, S.
author
Maoli, R.
author
Escartin Vigo, J.A.
author
Kajava, J.J.E.
author
Kansal, V.
author
Kirkpatrick, C.C.
author
Legrand, L.
author
Franceschi, E.
author
Loureiro, Ana
author
Baldi, M.
author
Mei, S.
author
MacIas-Perez, J.
author
Magliocchetti, M.
author
Martins, C.J.A.P.
author
Matthew, S.
author
Moresco, M.
author
Escoffier, S.
author
Maurin, L.
author
Metcalf, R.B.
author
Migliaccio, M.
author
Fumana, M.
author
Mellier, Y.
author
Gillis, B.
author
Monaco, P.
author
Morgante, G.
author
Nadathur, S.
author
Nucita, A.A.
author
Patrizii, L.
author
Pöntinen, M.
author
Moscardini, L.
author
Popa, V.
author
Gillard, W.
author
Meneghetti, M.
author
Porciani, C.
author
Valenziano, L.
author
Galeotta, S.
author
Potter, D.
author
Pourtsidou, A.
author
Sereno, M.
author
Simon, P.
author
Spurio Mancini, A.
author
Stadel, J.
author
Teyssier, R.
author
Pires, S.
author
Munari, E.
author
Toft, Søren
author
Bardelli, S.
author
Tucci, M.
author
Garilli, B.
author
Aghanim, N.
author
Euclid Collaboration
author
Bernardeau, F.
author
Bonino, D.
author
Branchini, E.
author
Polenta, G.
author
Brescia, M.
author
Brinchmann, J.
author
Capobianco, V.
author
Carretero, Jorge
author
Castander, Francisco Javier
author
Niemi, S.-M.
author
Vassallo, T.
author
Pasian, F.
author
Castellano, M.
author
Castignani, G.
author
Poncet, M.
author
Cavuoti, S.
author
Cimatti, A.
author
Cledassou, R.
author
Colodro-Conde, C.
author
Congedo, G.
author
Conselice, C.J.
author
Conversi, L.
author
Veropalumbo, A.
author
Copin, Y.
author
Ferrero, I.
author
Popa, L.A.
author
Padilla, C.
author
Corcione, L.
author
Courbin, Frédéric
author
Courtois, H.M.
author
Cropper, M.
author
Da Silva, A.
author
Degaudenzi, H.
author
De Lucia, G.
author
Wang, Yan
author
Dinis, J.
author
Garcia-Bellido, J.
author
Dubath, F.
author
Giocoli, C.
author
Dupac, X.
author
Paltani, S.
author
Dusini, S.
author
Grazian, A.
author
Grupp, F.
author
Guzzo, L.
author
Haugan, S.V.H.
author
Weller, J.
author
Raison, F.
author
Holmes, W.
author
Hook, I.
author
Hormuth, F.
author
Hornstrup, A.
author
Hudelot, P.
author
Finelli, F.
author
Pedersen, K.
author
Jahnke, K.
author
Joachimi, B.
author
Keihänen, E.
author
Zoubian, J.
author
Zacchei, A.
author
Kermiche, S.
author
Kiessling, A.
author
Kunz, M.
author
Kurki-Suonio, H.
author
Lilje, P.B.
author
Lindholm, V.
author
Gabarra, L.
author
Lloro, I.
author
Upham, R.E.
author
Valieri, C.
author
Mainetti, G.
author
Zamorani, G.
author
Maino, D.
author
Mansutti, O.
author
Marggraf, O.
author
Markovic, K.
author
Martinet, N.
author
Marulli, F.
author
Massey, R.
author
Ganga, K.
author
Rebolo, R.
author
Maurogordato, S.
author
Medinaceli, E.
author
Martinelli, M.
author
Pettorino, V.
author
Renzi, A.
author
Rhodes, J.
author
Riccio, G.
author
Carbone, C.
author
Romelli, E.
author
Roncarelli, M.
author
Saglia, R.
author
Sánchez, A.G.
author
Gaztanaga, E.
author
Valiviita, J.
author
Hildebrandt, H.
author
Sapone, D.
author
Sartoris, B.
author
Schirmer, M.
author
Schneider, P.
author
Secroun, A.
author
Sefusatti, E.
author
Casas, S.
author
Seidel, G.
author
Serrano, S.
author
Viel, M.
author
Sirignano, C.
author
Farina, M.
author
Giacomini, F.
author
Sirri, G.
author
Stanco, L.
author
Starck, J.-L.
author
Steinwagner, J.
author
Tallada-Crespí, P.
author
Taylor, A.N.
author
Tereno, I.
author
Amara, A.
author
Iliac, S.
author
Toledo-Moreo, R.
author
Zucca, E.
author
Torradeflot, F.
author
Gozaliasl, G.
author
Valentijn, E.A.
author
Biviano, A.
author
Boucaud, A.
author
Bozzo, E.
author
Di Ferdinando, D.
author
Andreon, S.
author
Farinelli, R.
author
Graciá-Carpio, J.
author
Mauri, Nuria
author
Scottez, V.
author
Sakr, Z.
author
Farrens, S.
author
Scaramella, R.
author
Tenti, M.
author
Akrami, Y.
author
Allevato, V.
author
Auricchio, N.
author
Ballardini, M.
author
Blanchard, A.
author
Borgani, S.
author
Borlaff, A.S.
author
Burigana, C.
author
Cabanac, R.
author
Fosalba, Pablo
author
Cappi, A.
author
Meylan, G.
author
Schneider, A.
author
Baccigalupi, C.
author
Carvalho, C.S.
author
Castro, T.
author
Cañas-Herrera, G.
author
Chambers, K.C.
author
Cooray, A.R.
author
Coupon, J.
author
Davini, S.
author
Frailis, M.
author
Desprez, G.
author
Díaz-Sánchez, A.
author
Neissner, C.
author
Jacobson, J.
2025-02-11T18:46:53Z2025-02-11T18:46:53Z20242025-02-11T18:46:53Z
Context. 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.</p><p>Aims. We compute and validate the impact of SSC on the forecast uncertainties on the cosmological parameters for the Euclid photometric survey, and investigate how its impact depends on the specific details of the forecast. Methods. We followed the recipes outlined by the Euclid Collaboration (EC) to produce 1σ constraints through a Fisher matrix analysis, considering the Gaussian covariance alone and adding the SSC term, which is computed through the public code PySSC. The constraints are produced both by using Euclid’s photometric probes in isolation and by combining them in the ‘3×2pt’ analysis. Results. We meet EC requirements on the forecasts validation, with an agreement at the 10% level between the mean results of the two pipelines considered, and find the SSC impact to be non-negligible – halving the figure of merit (FoM) of the dark energy parameters (w0, wa) in the 3×2pt case and substantially increasing the uncertainties on Ωm,0, w0, and σ8 for the weak-lensing probe. We find photometric galaxy clustering to be less affected as a consequence of the lower probe response. The relative impact of SSC, while highly dependent on the number and type of nuisance parameters varied in the analysis, does not show significant changes under variations of the redshift binning scheme. Finally, we explore how the use of prior information on the shear and galaxy bias changes the impact of SSC. We find that improving shear bias priors has no significant influence, while galaxy bias must be calibrated to a subpercent level in order to increase the FoM by the large amount needed to achieve the value when SSC is not included.
(c) The European Southern Observatory (ESO), 2024 info:eu-repo/semantics/openAccess
Cosmologia
Energia fosca (Astronomia)
Asteroides
Telescopis espacials
Cosmology
Dark energy (Astronomy)
Asteroids
Space telescopes
Euclid preparation: LII. Forecast impact of super-sample covariance on 3A- 2pt analysis with Euclid
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion