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arXiv · 2611.05484

Euclid: Forecasting the number counts of bright line emitters in the Euclid Wide Survey and Euclid Deep fields

Abstract

The Euclid mission will revolutionize our understanding of the visible Universe by collecting images and spectra of millions of galaxies across cosmic time and environments. Here, we forecast the number counts of galaxies emitting [OII], H\b{eta}, [OIII], Hα and Pa\b{eta} lines in the Euclid Wide Survey (EWS) and Deep Survey (EDS). We compare predictions from different models, including semi-analytic models and empirical scaling relations. We then simulate spectra for galaxies in the MAMBO lightcone using FastSpec, designed to rapidly generate one-dimensional spectra as observed by Euclid. We process these simulated spectra with the official Euclid spectroscopic pipeline to recover redshifts and line fluxes and derive expected counts. Predictions for Hα+[NII] emitters are broadly consistent across mocks and with existing observations. In the EWS, relative RMS scatter among mock predictions for integrated counts is approximately 19% for Hα+[NII], 44% for [OII] and 41% for [OIII], reflecting greater model dependence for oxygen-line forecasts. After accounting for flux losses and redshift misidentification, corrected flux measurements recover most intrinsic line counts, especially in the EDS. From the MAMBO-based FastSpec simulations, we predict that Euclid will detect about 42 million Hα emitters in the EWS and 1.7 million in the EDS. The same simulations predict approximately 0.5 and 0.8 million [OII] and [OIII] emitters, respectively, in the EDS, and about 1.3 and 7.5 million in the EWS. These non-Hα forecasts remain subject to substantial model-dependent uncertainties, as shown by scatter among the different mocks. These samples will be instrumental in pushing large-scale structure and baryon acoustic oscillation studies beyond redshift z~2, extending Euclid cosmological and galaxy evolution studies beyond what is achievable with Hα alone.

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BibTeXRIS

Euclid Collaboration, P. Cassata, S. Quai, C. Mancini, L. Pozzetti, L. Gabarra, M. Talia, L. Bisigello, M. Bolzonella, G. De Lucia, A. Enia, A. Feltre, F. Fontanot, M. Hirschmann, V. Le Brun, M. Moresco, M. Scodeggio, L. Scharré, M. Siudek, D. Vergani, G. Zamorani, O. Cucciati, N. Aghanim, B. Altieri, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, S. Bardelli, P. Battaglia, A. Biviano, E. Branchini, M. Brescia, S. Camera, G. Cañas-Herrera, V. Capobianco, C. Carbone, J. Carretero, M. Castellano, G. Castignani, S. Cavuoti, A. Cimatti, C. Colodro-Conde, G. Congedo, L. Conversi, Y. Copin, F. Courbin, H. M. Courtois, H. Degaudenzi, S. de la Torre, H. Dole, F. Dubath, X. Dupac, A. Ealet, S. Escoffier, M. Farina, R. Farinelli, F. Faustini, S. Ferriol, 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, S. Hemmati, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, M. Jhabvala, B. Joachimi, S. Kermiche, A. Kiessling, B. Kubik, M. Kümmel, M. Kunz, H. Kurki-Suonio, A. M. C. Le Brun, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, M. Magliocchetti, G. Mainetti, E. Maiorano, O. Mansutti, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, R. J. Massey. 2026-11-03. Euclid: Forecasting the number counts of bright line emitters in the Euclid Wide Survey and Euclid Deep fields. https://arxiv.org/abs/2611.05484

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