Euclid Quick Data Release (Q1). The strong-lensing discovery engine B. Early strong-lens candidates from the visual inspection of galaxies with a high-velocity dispersion

We present a search for strong gravitational lenses in Euclid imaging with a high stellar velocity dispersion (sigmav>180,̨ms) reported by SDSS and DESI. We performed expert visual inspection and classification of $11,660$ Euclid images. We discovered 38 grade A and 40 grade B candidate lenses, which is consistent with an expected sample of ∼32. Palomar spectroscopy confirmed 5 lens systems, while DESI spectra confirmed one system, provided ambiguous results for another, and helped to discard a third system. The Euclid automated lens modeler modelled 53 candidates, confirmed 38 as lenses, failed to model 9, and ruled out 6 grade B candidates. For the remaining 25 candidates, we were unable to gather additional information. More importantly, our classified non-lenses provide an excellent training set for machine-learning lens classifiers. We created high-fidelity simulations of Euclid lenses by painting realistic lensed sources behind the tagged (non-lens) luminous red galaxies. This training set is the foundation stone for the Euclid galaxy-galaxy strong-lensing discovery engine.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2025-08-28
DOI
https://doi.org/10.1051/0004-6361/202554605
Citations
2
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
2.38
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article

Euclid Quick Data Release (Q1). The strong-lensing discovery engine B. Early strong-lens candidates from the visual inspection of galaxies with a high-velocity dispersion

Dominique Sluse, J. Brinchmann, F Passalacqua, J. Hjorth et al.
2 citations
Astronomy and Astrophysics
Astronomy and Astrophysical Research
2.38
article

Euclid Quick Data Release (Q1). The strong-lensing discovery engine B. Early strong-lens candidates from the visual inspection of galaxies with a high-velocity dispersion

Dominique Sluse, J. Brinchmann, F Passalacqua, J. Hjorth, Will J. Percival, M. Ballardini, E. A. Magnier, A. Grazian, P. Tallada-Crespí, S Sacquegna, A. Pisani, M. Schirmer, D. Le Mignant, C. Sirignano, G. Zamorani, M. Brescia, I Tereno, A. Secroun, I. Hook, L. Marchetti, N. Martinet, M. Bolzonella, W.G Hartley, R Nakajima, J. Carretero, J. Steinwagner, D. B. Sanders, D. Scott, J. García-Bellido, A.G Ferrari, H Hildebrandt, A. Navarro-Alsina, Francesca Lepori, S Gwyn, W Gillard, Leonidas A. Moustakas, A. Franco, J. F. Macías–Pérez, V. Scottez, F. Torradeflot, Y. Copin, Alex D. Hall, T.E Collett, A. Kiessling, A. Troja, Michael D. Brown, Santiago Casas, A. Biviano, M. Fabricius, A. Díaz‐Sánchez, J.J Diaz, Y. Copin, G. Gozaliasl, E. Sellentin, M Radovich, S. Mei, G. Desprez, L Patrizii, F Faustini, Daniele Bertacca, M. Martinelli, A. Finoguenov, M. Magliocchetti, C.J.A.P. Martins, S. Nadathur, A.R. Cooray, F. Marulli, V. Capobianco, L. Moscardini, T. Schrabback, L. Gabarra, M Miluzio, J Le Graet, Pierre–Alain Duc, S. Pires, S. V. H. Haugan, S Marcin, T. Vassallo, A Enia, C.J. Conselice, C. Neissner, G. Castignani, M. Cropper, Valérie Gautard, R. Toledo-Moreo, B. Camacho Quevedo, S Bruton, M. Moresco, B. R. Granett, Y Fang, D. Sapone, Predrag Matavulj, A. Da Silva, M. Meneghetti, H. J. McCracken, J.W Nightingale, L. Patrizii, A. Veropalumbo, M. Poncet, L. Valenziano, G. Morgante, T.I Liaudat, S Toft, B Gillis, C. Burigana, A. M. Di Giorgio, S Quai, Christophe O. Benoist, H. Degaudenzi, Matteo Viel, I Risso, G. Vernardos, G. Mainetti, J. Väliviita, E. Zucca, B Sartoris, D. Karagiannis, S. Escoffier, J.A. Acevedo Barroso, N. Jackson, S. Ferriol, L Blot, Maria Lembo, D. Vergani, M Sahlén, M. Roncarelli, F. De Paolis, R. Maoli, E. Maiorano, R. B. Metcalf, A. Hornstrup, O. Marggraf, V.F Cardone, S. Fotopoulou, E. Medinaceli, Sergey Kruk, M. Pöntinen, S. Di Domizio, R. Teyssier, F. M. Zerbi, A. Blanchard, L. Stanco, M. Béthermin, A. Balestra, R. Saglia, K. Jahnkę, M. Farina, F. Mannucci, M Jhabvala, S. Galeotta, F. Pasian, A. Venhola, L. Guzzo, V. Kansal, S Anselmi, F. Hormuth, Stephen Serjeant, J. Weller, G. Seidel, M. Archidiacono, M. Castellano, F. Grupp, David Ballard, R. Farinelli, F. Giacomini, C. Valieri, A. Zacchei, E. Franceschi, P. Bergamini, J.A Schewtschenko, Marco Baldi, ENRIQUE GAZTAÑAGA, J Martín-Fleitas, P. Gómez-Álvarez, K. Kiiveri, T Castro, Q. Le Boulc'h, M. Sereno, Pardis Simon, N. A. Walton, J. Wilde, Pierluigi Monaco, C. Giocoli, G Cañas-Herrera, J. Gracia-Carpio, Antonio M. Mora, I.T Andika, Savvas Nesseris, Anely Maciel de Melo, S. Camera, D. Potter, K Tanidis, L. Legrand, S. H. Suyu, LAURENCE C. SMITH, G.F Lesci, K. C. Chambers, E. Merlin, F. Finelli⋆, T Gasparetto, V. Lindholm, F. Raison, R. Rébolo, G. Verdoes Kleijn, P.-F Rocci, A Fontana, E. Keihänen, P Vielzeuf, Koshy George, P. Hudelot, D. Stern, E. Romelli, N. Auricchio, M. Melchior, Conor M. O’Riordan, Petra Schneider, R Massey, Z. Sakr, A. Renzi, R. Gavazzi, G. Despali, B. Altieri, K. Pedersen, K. Paterson, S. Kermiche, J. Rhodes, S. Davini, W. Holmes, F Caro, E Sarpa, J. M. Diego, Attila Kovács, O. Mansutti, A.G. Sánchez, Claudia Scarlata, F Dubath, R. Cabanac, P. B. Lilje, A. Amara, E. Bozzo, C. Hernández–Monteagudo, Ana Sainz de Murieta, S. Schuldt, S. Serrano, C.S. Carvalho, L.A. Popa, A Pezzotta, Kathryn McCarthy, M. Kunz, A.M.C Le Brun, Aurel Schneider, M. Frailis, S. Paltani, O. Cucciati, A. Verma, S. Ligori, W.J.R. Enzi, E. Branchini, S Cavuoti, L. Pozzetti, C. Padilla, Y. Akrami, F. Atrio‐Barandela, Claudio Moretti, H. M. Courtois, R. C. Nichol, F. Cogato, D Sciotti, N.E.P. Lines, Tian Li, Yun Wang, Pedro G. Ferreira, L. Maurin, G. Riccio, C. M. Gutiérrez, J.E. Kajava, S Alvi, G de Lucia, M. D. Seiffert, G. Meylan, I. Tutusaus, G Leroy, D. Maino, Y. Mellier, C. Porciani, K. Benson, A. Cimatti, X. Dupac, N Mauri, K. Kiiveri, M. Tenti, D. Di Ferdinando, V. Pettorino, L.R Ecker, P Battaglia, S Bardelli, A Calabro, G Polenta, M. Kümmel, H. Kurki‐Suonio, M. Wiesmann, P. Liebing, B. Clément, N. Aghanim, K Naidoo, C. Baccigalupi, S. Maurogordato, A. N. Taylor, G. Maggio, J.A. Escartin Vigo, A Cappi, B. Kubik, I. Lloro, S. Andreon, M Tucci, A. N. Taylor, G Verza, H. Dole, K Kuijken, A. Loureiro, F. Gianotti, S.-M. Niemi, J. Lesgourgues, C. Dolding, M Guidi, M. Walmsley, G. Congedo, L. Leuzzi, Y Kang
article en
2 citations

Abstract

We present a search for strong gravitational lenses in Euclid imaging with a high stellar velocity dispersion (sigmav>180,̨ms) reported by SDSS and DESI. We performed expert visual inspection and classification of $11,660$ Euclid images. We discovered 38 grade A and 40 grade B candidate lenses, which is consistent with an expected sample of ∼32. Palomar spectroscopy confirmed 5 lens systems, while DESI spectra confirmed one system, provided ambiguous results for another, and helped to discard a third system. The Euclid automated lens modeler modelled 53 candidates, confirmed 38 as lenses, failed to model 9, and ruled out 6 grade B candidates. For the remaining 25 candidates, we were unable to gather additional information. More importantly, our classified non-lenses provide an excellent training set for machine-learning lens classifiers. We created high-fidelity simulations of Euclid lenses by painting realistic lensed sources behind the tagged (non-lens) luminous red galaxies. This training set is the foundation stone for the Euclid galaxy-galaxy strong-lensing discovery engine.

Astronomy and Astrophysics
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Astronomy and Astrophysical Research
2.38
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