Euclid preparation: XXI. Intermediate-redshift contaminants in the search for $z>6$ galaxies within the Euclid Deep Survey - Archive ouverte HAL Access content directly
Journal Articles Astronomy and Astrophysics - A&A Year : 2022

Euclid preparation: XXI. Intermediate-redshift contaminants in the search for $z>6$ galaxies within the Euclid Deep Survey

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S. van Mierlo
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R. Bowler
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G. Brammer
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C. Conselice
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J. Cuby
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P. Dayal
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A. Díaz-Sánchez
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S. Finkelstein
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R. Pello
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M. Schirmer
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S. Toft
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J. Weaver
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S. Wilkins
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C. Willott
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G. Zamorani
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A. Amara
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N. Auricchio
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M. Baldi
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R. Bender
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C. Bodendorf
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D. Bonino
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E. Branchini
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M. Brescia
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J. Brinchmann
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S. Camera
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V. Capobianco
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C. Carbone
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J. Carretero
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M. Castellano
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S. Cavuoti
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A. Cimatti
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G. Congedo
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L. Conversi
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L. Corcione
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F. Courbin
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A. da Silva
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H. Degaudenzi
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M. Douspis
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F. Dubath
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X. Dupac
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S. Dusini
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S. Farrens
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M. Frailis
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E. Franceschi
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P. Franzetti
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M. Fumana
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S. Galeotta
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B. Garilli
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B. Gillis
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C. Giocoli
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A. Grazian
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F. Grupp
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S. Haugan
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W. Holmes
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F. Hormuth
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A. Hornstrup
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K. Jahnke
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M. Kümmel
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A. Kiessling
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M. Kilbinger
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T. Kitching
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R. Kohley
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M. Kunz
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H. Kurki-Suonio
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R. Laureijs
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S. Ligori
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P. Lilje
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I. Lloro
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E. Maiorano
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O. Mansutti
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O. Marggraf
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K. Markovic
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F. Marulli
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R. Massey
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S. Maurogordato
E. Medinaceli
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M. Meneghetti
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E. Merlin
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G. Meylan
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M. Moresco
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L. Moscardini
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E. Munari
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S. Niemi
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C. Padilla
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S. Paltani
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F. Pasian
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K. Pedersen
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V. Pettorino
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S. Pires
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M. Poncet
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L. Popa
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L. Pozzetti
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F. Raison
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A. Renzi
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J. Rhodes
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G. Riccio
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E. Romelli
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E. Rossetti
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R. Saglia
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D. Sapone
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B. Sartoris
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P. Schneider
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C. Sirignano
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G. Sirri
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L. Stanco
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J.-L. Starck
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C. Surace
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P. Tallada-Crespí
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A. Taylor
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I. Tereno
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R. Toledo-Moreo
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F. Torradeflot
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I. Tutusaus
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E. Valentijn
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L. Valenziano
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T. Vassallo
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Y. Wang
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A. Zacchei
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S. Andreon
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S. Bardelli
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J. Graciá-Carpio
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D. Maino
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N. Mauri
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F. Sureau
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E. Zucca
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H. Aussel
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C. Baccigalupi
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A. Balaguera-Antolínez
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A. Biviano
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A. Blanchard
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S. Borgani
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E. Bozzo
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C. Burigana
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R. Cabanac
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F. Calura
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A. Cappi
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C. Carvalho
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S. Casas
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G. Castignani
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C. Colodro-Conde
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A. Cooray
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J. Coupon
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M. Crocce
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O. Cucciati
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S. Davini
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H. Dole
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J. Escartin
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M. Fabricius
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M. Farina
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J. García-Bellido
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K. George
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F. Giacomini
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G. Gozaliasl
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S. Gwyn
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I. Hook
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M. Huertas-Company
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V. Kansal
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A. Kashlinsky
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E. Keihanen
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C. Kirkpatrick
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V. Lindholm
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R. Maoli
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M. Martinelli
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M. Maturi
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R. Metcalf
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P. Monaco
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G. Morgante
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A. Nucita
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L. Patrizii
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A. Peel
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V. Popa
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C. Porciani
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D. Potter
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P. Reimberg
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A. Sánchez
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V. Scottez
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E. Sefusatti
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J. Stadel
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R. Teyssier
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J. Valiviita
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M. Viel
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Abstract

Context. The Euclid mission is expected to discover thousands of z > 6 galaxies in three deep fields, which together will cover a ∼50 deg 2 area. However, the limited number of Euclid bands (four) and the low availability of ancillary data could make the identification of z > 6 galaxies challenging. Aims. In this work we assess the degree of contamination by intermediate-redshift galaxies ( z = 1–5.8) expected for z > 6 galaxies within the Euclid Deep Survey. Methods. This study is based on ∼176 000 real galaxies at z = 1–8 in a ∼0.7 deg 2 area selected from the UltraVISTA ultra-deep survey and ∼96 000 mock galaxies with 25.3 ≤ H < 27.0, which altogether cover the range of magnitudes to be probed in the Euclid Deep Survey. We simulate Euclid and ancillary photometry from fiducial 28-band photometry and fit spectral energy distributions to various combinations of these simulated data. Results. We demonstrate that identifying z > 6 galaxies with Euclid data alone will be very effective, with a z > 6 recovery of 91% (88%) for bright (faint) galaxies. For the UltraVISTA-like bright sample, the percentage of z = 1–5.8 contaminants amongst apparent z > 6 galaxies as observed with Euclid alone is 18%, which is reduced to 4% (13%) by including ultra-deep Rubin ( Spitzer ) photometry. Conversely, for the faint mock sample, the contamination fraction with Euclid alone is considerably higher at 39%, and minimised to 7% when including ultra-deep Rubin data. For UltraVISTA-like bright galaxies, we find that Euclid ( I E − Y E ) > 2.8 and ( Y E − J E ) < 1.4 colour criteria can separate contaminants from true z > 6 galaxies, although these are applicable to only 54% of the contaminants as many have unconstrained ( I E − Y E ) colours. In the best scenario, these cuts reduce the contamination fraction to 1% whilst preserving 81% of the fiducial z > 6 sample. For the faint mock sample, colour cuts are infeasible; we find instead that a 5 σ detection threshold requirement in at least one of the Euclid near-infrared bands reduces the contamination fraction to 25%.
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Dates and versions

hal-03866172 , version 1 (22-11-2022)

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S. van Mierlo, K. Caputi, M. Ashby, H. Atek, M. Bolzonella, et al.. Euclid preparation: XXI. Intermediate-redshift contaminants in the search for $z>6$ galaxies within the Euclid Deep Survey. Astronomy and Astrophysics - A&A, 2022, 666, pp.A200. ⟨10.1051/0004-6361/202243950⟩. ⟨hal-03866172⟩
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