Euclid preparation XXVI. The Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
Creators
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Bretonnière, H.
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Kuchner, U.
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Huertas-Company, M.
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Merlin, E.
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Castellano, M.
- Tuccillo, D.
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Buitrago, F.
- Conselice, C. J.
- Boucaud, A.
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Häußler, B.
- Kümmel, M.
- Hartley, W. G.
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Alvarez Ayllon, A.
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Bertin, E.
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Ferrari, F.
- Ferreira, L.
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Gavazzi, R.
- Hernández-Lang, D.
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Lucatelli, G.
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Robotham, A. S. G.
- Schefer, M.
- Wang, L.
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Cabanac, R.
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Domínguez Sánchez, H.
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Duc, P.-A.
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Fotopoulou, S.
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Kruk, S.
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La Marca, A.
- Margalef-Bentabol, B.
- Marleau, F. R.
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Tortora, C.
- Aghanim, N.
- Amara, A.
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Auricchio, N.
- Azzollini, R.
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Baldi, M.
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Bender, R.
- Bodendorf, C.
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Branchini, E.
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Brescia, M.
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Brinchmann, J.
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Camera, S.
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Capobianco, V.
- Carbone, C.
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Carretero, J.
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Castander, F. J.
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Cavuoti, S.
- Cimatti, A.
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Cledassou, R.
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Congedo, G.
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Conversi, L.
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Copin, Y.
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Corcione, L.
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Courbin, F.
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Cropper, M.
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Da Silva, A.
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Degaudenzi, H.
- Dinis, J.
- Dubath, F.
- Duncan, C. A. J.
- Dupac, X.
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Dusini, S.
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Farrens, S.
- Ferriol, S.
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Frailis, M.
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Franceschi, E.
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Fumana, M.
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Galeotta, S.
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Garilli, B.
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Gillis, B.
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Giocoli, C.
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Grazian, A.
- Grupp, F.
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Haugan, S. V. H.
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Hoekstra, H.
- Holmes, W.
- Hormuth, F.
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Hornstrup, A.
- Hudelot, P.
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Jahnke, K.
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Kermiche, S.
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Kiessling, A.
- Kohley, R.
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Kunz, M.
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Kurki-Suonio, H.
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Ligori, S.
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Lilje, P. B.
- Lloro, I.
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Mansutti, O.
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Marggraf, O.
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Markovic, K.
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Marulli, F.
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Massey, R.
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McCracken, H. J.
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Medinaceli, E.
- Melchior, M.
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Meneghetti, M.
- Meylan, G.
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Moresco, M.
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Moscardini, L.
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Munari, E.
- Niemi, S. M.
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Padilla, C.
- Paltani, S.
- Pasian, F.
- Pedersen, K.
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Percival, W.
- Pettorino, V.
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Polenta, G.
- Poncet, M.
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Pozzetti, L.
- Raison, F.
- Rebolo, R.
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Renzi, A.
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Rhodes, J.
- Riccio, G.
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Romelli, E.
- Rosset, C.
- Rossetti, E.
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Saglia, R.
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Sapone, D.
- Sartoris, B.
- Schneider, P.
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Secroun, A.
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Seidel, G.
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Sirignano, C.
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Sirri, G.
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Skottfelt, J.
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Starck, J.-L.
- Tallada-Crespí, P.
- Taylor, A. N.
- Tereno, I.
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Toledo-Moreo, R.
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Tutusaus, I.
- Valentijn, E. A.
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Valenziano, L.
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Vassallo, T.
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Wang, Y.
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Weller, J.
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Zamorani, G.
- Zoubian, J.
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Andreon, S.
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Bardelli, S.
- Colodro-Conde, C.
- Di Ferdinando, D.
- Graciá-Carpio, J.
- Lindholm, V.
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Mauri, N.
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Mei, S.
- Scottez, V.
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Zucca, E.
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Baccigalupi, C.
- Ballardini, M.
- Bernardeau, F.
- Biviano, A.
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Borgani, S.
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Borlaff, A. S.
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Burigana, C.
- Cappi, A.
- Carvalho, C. S.
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Casas, S.
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Castignani, G.
- Cooray, A. R.
- Coupon, J.
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Courtois, H. M.
- Davini, S.
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De Lucia, G.
- Desprez, G.
- Escartin, J. A.
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Escoffier, S.
- Fabricius, M.
- Farina, M.
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Fontana, A.
- Ganga, K.
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Garcia-Bellido, J.
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George, K.
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Gozaliasl, G.
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Hildebrandt, H.
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Hook, I.
- Ilbert, O.
- Ilić, S.
- Joachimi, B.
- Kansal, V.
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Keihanen, E.
- Kirkpatrick, C. C.
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Loureiro, A.
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Macias-Perez, J.
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Magliocchetti, M.
- Maoli, R.
- Marcin, S.
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Martinelli, M.
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Martinet, N.
- Maturi, M.
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Monaco, P.
- Morgante, G.
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Nadathur, S.
- Nucita, A. A.
- Patrizii, L.
- Popa, V.
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Porciani, C.
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Potter, D.
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Pourtsidou, A.
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Pöntinen, M.
- Reimberg, P.
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Sánchez, A. G.
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Sakr, Z.
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Schirmer, M.
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Sefusatti, E.
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Sereno, M.
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Stadel, J.
- Teyssier, R.
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Valiviita, J.
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van Mierlo, S. E.
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Veropalumbo, A.
- Viel, M.
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Weaver, J. R.
- Scott, D.
- Euclid Collaboration
Abstract
The various Euclid imaging surveys will become a reference for studies of galaxy morphology by delivering imaging over an unprecedented area of 15 000 square degrees with high spatial resolution. In order to understand the capabilities of measuring morphologies from Euclid-detected galaxies and to help implement measurements in the pipeline of the Organisational Unit MER of the Euclid Science Ground Segment, we have conducted the Euclid Morphology Challenge, which we present in two papers. While the companion paper focusses on the analysis of photometry, this paper assesses the accuracy of the parametric galaxy morphology measurements in imaging predicted from within the Euclid Wide Survey. We evaluate the performance of five state-of-the-art surface-brightness-fitting codes, DeepLeGATo, Galapagos-2, Morfometryka, ProFit and SourceXtractor++, on a sample of about 1.5 million simulated galaxies (350 000 above 5σ) resembling reduced observations with the Euclid VIS and NIR instruments. The simulations include analytic Sérsic profiles with one and two components, as well as more realistic galaxies generated with neural networks. We find that, despite some code-specific differences, all methods tend to achieve reliable structural measurements (< 10% scatter on ideal Sérsic simulations) down to an apparent magnitude of about I_E = 23 in one component and I_E = 21 in two components, which correspond to a signal-to-noise ratio of approximately 1 and 5, respectively. We also show that when tested on non-analytic profiles, the results are typically degraded by a factor of 3, driven by systematics. We conclude that the official Euclid Data Releases will deliver robust structural parameters for at least 400 million galaxies in the Euclid Wide Survey by the end of the mission. We find that a key factor for explaining the different behaviour of the codes at the faint end is the set of adopted priors for the various structural parameters.
Additional Information
© The Authors 2023. Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication. The Euclid Consortium acknowledges the European Space Agency and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the French Centre National d'Etudes Spatiales, the Deutsches Zentrum für Luft- und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Ciencia e Innovación, the National Aeronautics and Space Administration, the National Astronomical Observatory of Japan, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency. A complete and detailed list is available on the Euclid web site (http://www.euclid-ec.org).Attached Files
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Files
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Additional details
Identifiers
- Eprint ID
- 122256
- Resolver ID
- CaltechAUTHORS:20230712-111705500.10
Funding
- European Space Agency (ESA)
- Academy of Finland
- Agenzia Spaziale Italiana (ASI)
- Belgian Federal Science Policy Office (BELSPO)
- Canadian Euclid Consortium
- Centre National d'Études Spatiales (CNES)
- Deutsches Zentrum für Luft- und Raumfahrt (DLR)
- Danish Space Research Institute
- Fundação para a Ciência e a Tecnologia (FCT)
- Ministerio de Ciencia e Innovación (MCIN)
- NASA
- National Astronomical Observatory of Japan
- Nederlandse Onderzoekschool voor de Astronomie (NOVA)
- Norwegian Space Agency
- Romanian Space Agency
- State Secretariat for Education and Research (Switzerland)
- Swiss Space Office (SSO)
- United Kingdom Space Agency (UKSA)
Dates
- Created
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2023-08-16Created from EPrint's datestamp field
- Updated
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2023-08-16Created from EPrint's last_modified field
Caltech Custom Metadata
- Caltech groups
- Infrared Processing and Analysis Center (IPAC)