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arXiv · 2602.16448

Euclid preparation. CIV. Impact of galaxy intrinsic alignment modelling choices on Euclid 3x2pt cosmology

Euclid Collaboration·D. Navarro-Gironés·I. Tutusaus·M. Crocce·S. Gouyou Beauchamps·R. Paviot·B. Joachimi·J. Ruiz-Zapatero·D. Sciotti·N. Tessore·J. Blazek·G. Cañas-Herrera·P. Carrilho·J. M. Coloma-Nadal·H. Hoekstra·A. Porredon·B. Altieri·S. Andreon·C. Baccigalupi·M. Baldi·S. Bardelli·A. Biviano·M. Bolzonella·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·G. 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·L. Gabarra·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·M. Magliocchetti·G. Mainetti·O. Mansutti·O. Marggraf·M. Martinelli·N. Martinet·F. Marulli·N. Mauri·E. Medinaceli·M. Meneghetti·E. Merlin·G. Meylan·P. Monaco·A. Mora
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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 alignments (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 3x2pt 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 (zTATT) provides the most flexible description of IAs, with a constraining power similar to simpler IA models, making it a suitable choice for Euclid DR1 3x2pt analyses.

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Euclid Collaboration, D. Navarro-Gironés, I. Tutusaus, M. Crocce, S. Gouyou Beauchamps, R. Paviot, B. Joachimi, J. Ruiz-Zapatero, D. Sciotti, N. Tessore, J. Blazek, G. Cañas-Herrera, P. Carrilho, J. M. Coloma-Nadal, H. Hoekstra, A. Porredon, B. Altieri, S. Andreon, C. Baccigalupi, M. Baldi, S. Bardelli, A. Biviano, M. Bolzonella, 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, G. 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, L. Gabarra, 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, M. Magliocchetti, G. Mainetti, O. Mansutti, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, N. Mauri, E. Medinaceli, M. Meneghetti, E. Merlin, G. Meylan, P. Monaco, A. Mora. 2026-02-18. Euclid preparation. CIV. Impact of galaxy intrinsic alignment modelling choices on Euclid 3x2pt cosmology. https://arxiv.org/abs/2602.16448

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