Authors
Matteo Martinelli, I Tutusaus, M Archidiacono, S Camera, VF Cardone, S Clesse, S Casas, L Casarini, DF Mota, H Hoekstra, C Carbone, S Ilić, TD Kitching, V Pettorino, A Pourtsidou, Z Sakr, D Sapone, N Auricchio, A Balestra, A Boucaud, E Branchini, M Brescia, V Capobianco, J Carretero, M Castellano, S Cavuoti, A Cimatti, R Cledassou, G Congedo, C Conselice, L Conversi, L Corcione, A Costille, M Douspis, F Dubath, S Dusini, G Fabbian, P Fosalba, M Frailis, E Franceschi, B Gillis, C Giocoli, F Grupp, L Guzzo, W Holmes, F Hormuth, K Jahnke, S Kermiche, A Kiessling, M Kilbinger, M Kunz, H Kurki-Suonio, S Ligori, PB Lilje, I Lloro, E Maiorano, O Marggraf, K Markovic, R Massey, M Meneghetti, G Meylan, B Morin, L Moscardini, S Niemi, C Padilla, S Paltani, F Pasian, K Pedersen, S Pires, G Polenta, M Poncet, L Popa, F Raison, J Rhodes, M Roncarelli, E Rossetti, R Saglia, P Schneider, A Secroun, S Serrano, C Sirignano, G Sirri, J-L Starck, F Sureau, AN Taylor, I Tereno, R Toledo-Moreo, EA Valentijn, L Valenziano, T Vassallo, Y Wang, N Welikala, A Zacchei, J Zoubian
Publication date
2021/5/1
Journal
Astronomy & astrophysics
Volume
649
Pages
A100
Publisher
EDP sciences
Description
Upcoming surveys will map the growth of large-scale structure with unprecented precision, improving our understanding of the dark sector of the Universe. Unfortunately, much of the cosmological information is encoded on small scales, where the clustering of dark matter and the effects of astrophysical feedback processes are not fully understood. This can bias the estimates of cosmological parameters, which we study here for a joint analysis of mock Euclid cosmic shear and Planck cosmic microwave background data. We use different implementations for the modelling of the signal on small scales and find that they result in significantly different predictions. Moreover, the different non-linear corrections lead to biased parameter estimates, especially when the analysis is extended into the highly non-linear regime, with the Hubble constant, H0, and the clustering amplitude, σ8, affected the most. Improvements in the …
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M Martinelli, I Tutusaus, M Archidiacono, S Camera… - Astronomy & astrophysics, 2021