Euclid preparation

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Authors: D. Navarro-Gironés, I. Tutusaus, M. Crocce, S. Gouyou Beauchamps, R. Paviot, Benjamin Joachimi, J. Ruiz-Zapatero, D. Sciotti, N. Tessore, J. Blazek, G. Cañas-Herrera, P. Carrilho
+88 more J.M. Coloma-Nadal, H. Hoekstra, A. Porredon, B. Altieri, S. Andreon, C Baccigalupi, M. Baldi, S. Bardelli, A. Biviano, E. Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone, V. F. Cardone, J. Carretero, F. J. Castander, M. Castellano, G Castignani, S. Cavuoti, K. C. Chambers, C. Colodro-Conde, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, F. Courbin, H. M. Courtois, A. Da Silva, H. Degaudenzi, Gabriella De Lucia, H. Dole, F. Dubath, C. A. J. Duncan, X. Dupac, S. Escoffier, M. Farina, R. Farinelli, S. Farrens, S. Ferriol, F. Finelli, P. Fosalba, S. Fotopoulou, N. Fourmanoit, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, K George, B. Gillis, C. Giocoli, J Gracia-Carpio, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, A Hornstrup, K. Jahnke, S. Kermiche, A. Kiessling, M. Kilbinger, B. Kubik, K. Kuijken, M. Kunz, H Kurki-Suonio, A. M. C. Le Brun, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, G. Mainetti, O. Mansutti, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, E Medinaceli, M. Meneghetti, E. Merlin, G. Meylan, A. Mora, M. Moresco, L. Moscardini, R. Nakajima, C. Neissner, S.-M. Niemi, C. Padilla
Cited by: 1
References: 94

Abstract

The Euclid galaxy survey will provide unprecedented constraints on cosmology, but achieving unbiased results will require an optimal characterisation and mitigation of systematic effects. The intrinsic alignment (IAs) of galaxies are one of the dominant contaminants of the weak lensing (WL) and galaxy-galaxy lensing (GGL) probes. In this work, we assess IA modelling choices for Euclid DR1 3 × 2 pt analyses by using synthetic data vectors and comparing the performance of the two most commonly used IA models, non-linear alignment (NLA) and tidal alignment tidal torquing (TATT), along with several variations. Our analyses combine three perspectives: (i) the constraining power on the IA and cosmological parameters for each IA model, (ii) the bias that results when the IA analysis model differs from the model used to generate the synthetic data vector, and (iii) the degeneracies between IAs and photometric redshift (photo- z ) nuisance parameters. Amongst the IA models analysed, the redshift-dependent TATT model ( z TATT) provides the most flexible description of IAs, with a constraining power similar to simpler IA models, making it a suitable choice for Euclid DR1 3 × 2 pt analyses.

Fields of Study & Subjects

Galaxies: Formation Evolution Phenomena Astronomy and Astrophysical Research Space Technology and Applications

Publication details

Journal / source
Astronomy and Astrophysics
Publisher
EDP Sciences
Volume
713
Pages
A255–A255
Publication date
15 June 2026