학술논문

Euclid preparation. XXI. Intermediate-redshift contaminants in the search for $z>6$ galaxies within the Euclid Deep Survey
Document Type
Working Paper
Author
Euclid Collaborationvan Mierlo, S. E.Caputi, K. I.Ashby, M.Atek, H.Bolzonella, M.Bowler, R. A. A.Brammer, G.Conselice, C. J.Cuby, J.Dayal, P.Díaz-Sánchez, A.Finkelstein, S. L.Hoekstra, H.Humphrey, A.Ilbert, O.McCracken, H. J.Milvang-Jensen, B.Oesch, P. A.Pello, R.Rodighiero, G.Schirmer, M.Toft, S.Weaver, J. R.Wilkins, S. M.Willott, C. J.Zamorani, G.Amara, A.Auricchio, N.Baldi, M.Bender, R.Bodendorf, C.Bonino, D.Branchini, E.Brescia, M.Brinchmann, J.Camera, S.Capobianco, V.Carbone, C.Carretero, J.Castellano, M.Cavuoti, S.Cimatti, A.Cledassou, R.Congedo, G.Conversi, L.Copin, Y.Corcione, L.Courbin, F.Da Silva, A.Degaudenzi, H.Douspis, M.Dubath, F.Dupac, X.Dusini, S.Farrens, S.Ferriol, S.Frailis, M.Franceschi, E.Franzetti, P.Fumana, M.Galeotta, S.Garilli, B.Gillard, W.Gillis, B.Giocoli, C.Grazian, A.Grupp, F.Haugan, S. V. H.Holmes, W.Hormuth, F.Hornstrup, A.Jahnke, K.Kümmel, M.Kiessling, A.Kilbinger, M.Kitching, T.Kohley, R.Kunz, M.Kurki-Suonio, H.Laureijs, R.Ligori, S.Lilje, P. B.Lloro, I.Maiorano, E.Mansutti, O.Marggraf, O.Markovic, K.Marulli, F.Massey, R.Maurogordato, S.Medinaceli, E.Meneghetti, M.Merlin, E.Meylan, G.Moresco, M.Moscardini, L.Munari, E.Niemi, S. M.Padilla, C.Paltani, S.Pasian, F.Pedersen, K.Pettorino, V.Pires, S.Poncet, M.Popa, L.Pozzetti, L.Raison, F.Renzi, A.Rhodes, J.Riccio, G.Romelli, E.Rossetti, E.Saglia, R.Sapone, D.Sartoris, B.Schneider, P.Secroun, A.Sirignano, C.Sirri, G.Stanco, L.Starck, J. -L.Surace, C.Tallada-Crespí, P.Taylor, A. N.Tereno, I.Toledo-Moreo, R.Torradeflot, F.Tutusaus, I.Valentijn, E. A.Valenziano, L.Vassallo, T.Wang, Y.Zacchei, A.Zoubian, J.Andreon, S.Bardelli, S.Boucaud, A.Graciá-Carpio, J.Maino, D.Mauri, N.Mei, S.Sureau, F.Zucca, E.Aussel, H.Baccigalupi, C.Balaguera-Antolínez, A.Biviano, A.Blanchard, A.Borgani, S.Bozzo, E.Burigana, C.Cabanac, R.Calura, F.Cappi, A.Carvalho, C. S.Casas, S.Castignani, G.Colodro-Conde, C.Cooray, A. R.Coupon, J.Courtois, H. M.Crocce, M.Cucciati, O.Davini, S.Dole, H.Escartin, J. A.Escoffier, S.Fabricius, M.Farina, M.Ganga, K.García-Bellido, J.George, K.Giacomini, F.Gozaliasl, G.Gwyn, S.Hook, I.Huertas-Company, M.Kansal, V.Kashlinsky, A.Keihanen, E.Kirkpatrick, C. C.Lindholm, V.Maoli, R.Martinelli, M.Martinet, N.Maturi, M.Metcalf, R. B.Monaco, P.Morgante, G.Nucita, A. A.Patrizii, L.Peel, A.Pollack, J.Popa, V.Porciani, C.Potter, D.Reimberg, P.Sánchez, A. G.Scottez, V.Sefusatti, E.Stadel, J.Teyssier, R.Valiviita, J.Viel, M.
Source
A&A 666, A200 (2022)
Subject
Astrophysics - Astrophysics of Galaxies
Astrophysics - Cosmology and Nongalactic Astrophysics
Astrophysics - Instrumentation and Methods for Astrophysics
Language
Abstract
(Abridged) The Euclid mission is expected to discover thousands of z>6 galaxies in three Deep Fields, which together will cover a ~40 deg2 area. However, the limited number of Euclid bands and availability of ancillary data could make the identification of z>6 galaxies challenging. 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. This study is based on ~176,000 real galaxies at z=1-8 in a ~0.7 deg2 area selected from the UltraVISTA ultra-deep survey, and ~96,000 mock galaxies with 25.3$\leq$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 the fiducial, 28-band photometry, and fit spectral energy distributions (SEDs) to various combinations of these simulated data. Our study demonstrates that identifying z>6 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 minimized to 7% when including ultra-deep Rubin data. For UltraVISTA-like bright galaxies, we find that Euclid (I-Y)>2.8 and (Y-J)<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-Y) colours. In the most optimistic 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.
Comment: 27 pages, 14 figures, 9 tables; version accepted for publication by A&A