Euclid Quick Data Release (Q1)

作者：N.E.P. Lines, T.E Collett, M. Walmsley, K. Rojas, Tian Li, L. Leuzzi, A. Manjón-García, S.H Vincken, J. Wilde, Paul H. Holloway, A. Verma, R. B. Metcalf, I.T Andika, Andréia Cristina de Melo, M. Melchior, H. Domínguez Sánchez, A. Díaz‐Sánchez, J.A. Acevedo Barroso, B. Clément, Coleman Krawczyk, R Pearce-Casey, S. Serjeant, F. Courbin, Giulia Despali, R. Gavazzi, S. Schuldt, H. Degaudenzi, L.R Ecker, Wolfgang Enzi, Kyle Finner, A. Galan, C. Giocoli, Natalie B Hogg, K. Jahnkę, Sandor Kruk, G. Mahler, A. More, B.C Nagam, J. C. Pearson, Ana Sainz de Murieta, Claudia Scarlata, D. Sluse, Alessandro Sonnenfeld, Chiara Spiniello, T.T. Thai, C. Tortora, L. Ulivi, Luke Weisenbach, Miguel Zumalacárregui, N. Aghanim, B. Altieri, A. Amara, S. Andreon, N. Auricchio, H. Aussel, C. Baccigalupi, M. Baldi, A. Balestra, S. Bardelli, P Battaglia, R. Bender, Francis Bernardeau, A. Biviano, A Bonchi, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, G Cañas-Herrera, V. Capobianco, C. Carbone, V.F Cardone, J. Carretero, S. Casas, M. Castellano, G. Castignani, S. Cavuoti, K. C. Chambers, A. Cimatti, C. Colodro-Conde, G. Congedo, C.J. Conselice, L. Conversi, Y. Copin, A. Costille, H. M. Courtois, M. Cropper, A. Da Silva, G. De Lucia, A. M. Di Giorgio, C. Dolding, H. Dole, F. Dubath, C. A. J. Duncan, X. Dupac, S. Escoffier, M. Fabricius, M. Farina, R. Farinelli, F Faustini, S. Ferriol, F. Finelli⋆, S. Fotopoulou, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, K. George, W. Gillard, B. Gillis, P. Gómez-Álvarez, J. Gracia-Carpio, B. R. Granett, A. Grazian, F Grupp, L. Guzzo, Stephen Gwyn, S. V. H. Haugan, W. Holmes, I. Hook, F. Hormuth, A. Hornstrup, P. Hudelot, M. Jhabvala, E. Keihänen, S. Kermiche, A. Kiessling, B. Kubik, M Kümmel, M Kunz, H. Kurki‐Suonio, Q. Le Boulc'h, A.M.C Le Brun, D. Le Mignant, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, G Mainetti, D. Maino, E. Maiorano, O. Mansutti, S. Marcin, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, R. Massey, S. Maurogordato, E. Medinaceli, S. Mei, Y. Mellier, M. Meneghetti, E. Merlin, G. Meylan, A. Mora, M. Moresco, L. Moscardini, R. Nakajima, C. Neissner, R. C. Nichol, S.-M Niemi, J.W Nightingale, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, Will J. Percival, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. A. Popa, L. Pozzetti, F. Raison, R. Rébolo, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, R. P. Saglia, Z. Sakr, A.G. Sánchez, D. Sapone, B. Sartoris, J.A Schewtschenko, M. Schirmer, Peter Schneider, T. Schrabback, A. Secroun, G. Seidel, M. D. Seiffert, S. Serrano, Pardis Simon, C. Sirignano, G. Sirri, A. Spurio Mancini, L. Stančo, J. Steinwagner, P. Tallada-Crespí, A.N. Taylor, I. Tereno, Sune Toft, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, E. A. Valentijn, L. Valenziano, J. Väliviita, T. Vassallo, G. Verdoes Kleijn, A. Veropalumbo, Yun Wang, J. Weller, A. Zacchei, G. Zamorani, F. M. Zerbi, E. Zucca, V. Allevato, M. Ballardini, M. Bolzonella, E. Bozzo, C. Burigana, R. Cabanac, A. Cappi, D. Di Ferdinando, J.A. Escartin Vigo, L. Gabarra, J Martín-Fleitas, S Matthew, N. Mauri, A Pezzotta, M. Pöntinen, C. Porciani, I Risso, V. Scottez, M. Sereno, M. Tenti, M. Viel, M. Wiesmann, Y. Akrami, S Anselmi, M. Archidiacono, F. Atrio‐Barandela, Christophe Benoıst, K Benson, P. Bergamini, Daniele Bertacca, M. Béthermin, Alain Blanchard, L Blot, M.L Brown, S Bruton, Antonello Calabrò, F Caro, C.S. Carvalho, T. Castro, Yann Philippe Charles, F Cogato, A.R. Cooray, O. Cucciati, S. Davini, F. De Paolis, G. Desprez, J.J Diaz, S. Di Domizio, J. M. Diego, A Enia, Yuhong Fang, A.G Ferrari, A. Finoguenov, A. Fontana, A. Franco, K. Ganga, J. García-Bellido, T Gasparetto, V Gautard, E. Gaztañaga, F. Giacomini, F. Gianotti, G. Gozaliasl, M Guidi, C. M. Gutiérrez, A Hall, W.G Hartley, C. Hernández–Monteagudo, H Hildebrandt, J. Hjorth, J. J. E. Kajava, Y. W. Kang, V. Kansal, D. Karagiannis, K. Kiiveri, C. C. Kirkpatrick, J Le Graet, L. Legrand, Maria Lembo, F Lepori, G Leroy, G.F Lesci, Julien Lesgourgues, T.I Liaudat, S.J Liu, A. Loureiro, J. F. Macías–Pérez, G. Maggio, M. Magliocchetti, E. A. Magnier, F. Mannucci, R. Maoli, C.J.A.P. Martins, L. Maurin, M Miluzio, Pierluigi Monaco, Chiara Moretti, G. Morgante, S. Nadathur, Krishna Naidoo, A. Navarro-Alsina, S Nesseris, F Passalacqua, K. Paterson, L. Patrizii, A. Pisani, D. Potter, S Quai, M. Radovich, P.-F Rocci, S Sacquegna, M Sahlén, D. B. Sanders, E Sarpa, Aurel Schneider, D Sciotti, E. Sellentin, L. C. Smith, K Tanidis, G. Testera, Romain Teyssier, S. Tosi, A. Troja, M. Tucci, C Valieri, A. Venhola, D. Vergani, G. Vernardos, G Verza, P Vielzeuf, N. A. Walton, D. Scott · 发表于：Astronomy and Astrophysics · 年份：2025 · DOI：10.1051/0004-6361/202554542 · 被引用次数：10 · 研究领域：Astronomy and Astrophysical Research、Galaxies: Formation, Evolution, Phenomena、Astronomical Observations and Instrumentation

Strong gravitational lensing has the potential to provide a powerful probe of astrophysics and cosmology, but fewer than 1000 strong lenses have been confirmed so far. With a 0 . ″ 16 resolution covering a third of the sky, the Euclid telescope will revolutionise the identification of strong lenses, with 170 000 lenses forecasted to be discovered amongst the 1.5 billion galaxies it will observe. We present an analysis of the performance of five machine-learning models at finding strong gravitational lenses in the quick release of Euclid data (Q1) covering 63 deg 2 . The models have been validated by citizen scientists and expert visual inspection. We focus on the best-performing network: a fine-tuned version of the Zoobot pretrained model originally trained to classify galaxy morphologies in heterogeneous astronomical imaging surveys. Of the one million Q1 objects that Zoobot was tasked to find strong lenses within, the top 1000 ranked objects contain 122 grade A lenses (almost-certain lenses) and 41 grade B lenses (probable lenses). A deeper search with the five networks combined with visual inspection yielded 250 (247) grade A (B) lenses, of which 224 (182) are ranked in the top 20 000 by Zoobot . When extrapolated to the full Euclid survey, the highest ranked one million images will contain 75 000 grade A or B strong gravitational lenses.