{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/euclid-quick-data-release-q1-exploring-galaxy","title":"Euclid Quick Data Release (Q1) Exploring galaxy properties with a multi-modal foundation model","arxiv_id":"2503.15312","date":"2025-03-19","proceeding":null,"authors":["Euclid Collaboration","M. Siudek","M. Huertas-Company","M. Smith","G. Martinez-Solaeche","F. Lanusse","S. Ho","E. Angeloudi","P. A. C. Cunha","H. Domínguez Sánchez","M. Dunn","Y. Fu","P. Iglesias-Navarro","J. Junais","J. H. Knapen","B. Laloux","M. Mezcua","W. Roster","G. Stevens","J. Vega-Ferrero","N. Aghanim","B. Altieri","A. Amara","S. Andreon","N. Auricchio","H. Aussel","C. Baccigalupi","M. Baldi","S. Bardelli","P. Battaglia","A. Biviano","A. Bonchi","E. Branchini","M. Brescia","J. Brinchmann","S. Camera","G. Cañas-Herrera","V. Capobianco","C. Carbone","J. Carretero","S. Casas","F. J. Castander","M. Castellano","G. Castignani","S. Cavuoti","K. C. Chambers","A. Cimatti","C. Colodro-Conde","G. Congedo","C. J. Conselice","L. Conversi","Y. Copin","F. Courbin","H. M. Courtois","M. Cropper","A. Da Silva","H. Degaudenzi","G. De Lucia","A. M. Di Giorgio","J. Dinis","C. Dolding","H. Dole","F. Dubath","C. A. J. Duncan","X. Dupac","S. Dusini","S. Escoffier","M. Farina","R. Farinelli","F. Faustini","S. Ferriol","F. Finelli","S. Fotopoulou","M. Frailis","E. Franceschi","S. Galeotta","K. George","B. Gillis","C. Giocoli","J. Gracia-Carpio","B. R. Granett","A. Grazian","F. Grupp","S. Gwyn","S. V. H. Haugan","W. Holmes","I. M. Hook","F. Hormuth","A. Hornstrup","K. Jahnke","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","H. J. McCracken","E. Medinaceli","S. Mei","M. Melchior","Y. Mellier","M. Meneghetti","E. Merlin","G. Meylan","A. Mora","M. Moresco","L. Moscardini","R. Nakajima","C. Neissner","S. -M. Niemi","J. W. Nightingale","C. Padilla","S. Paltani","F. Pasian","K. Pedersen","W. J. Percival","V. Pettorino","S. Pires","G. Polenta","M. Poncet","L. A. Popa","L. Pozzetti","F. Raison","A. Renzi","J. Rhodes","G. Riccio","E. Romelli","M. Roncarelli","R. Saglia","Z. Sakr","A. G. Sánchez","D. Sapone","B. Sartoris","J. A. Schewtschenko","P. Schneider","T. Schrabback","M. Scodeggio","A. Secroun","G. Seidel","M. Seiffert","S. Serrano","P. Simon","C. Sirignano","G. Sirri","L. Stanco","J. Steinwagner","P. Tallada-Crespí","A. N. Taylor","I. Tereno","S. Toft","R. Toledo-Moreo","F. Torradeflot","I. Tutusaus","L. Valenziano","J. Valiviita","T. Vassallo","G. Verdoes Kleijn","A. Veropalumbo","Y. Wang","J. Weller","A. Zacchei","G. Zamorani","F. M. Zerbi","I. A. Zinchenko","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","R. B. Metcalf","A. Pezzotta","M. Pöntinen","C. Porciani","I. Risso","V. Scottez","M. Sereno","M. Tenti","M. Viel","M. Wiesmann","Y. Akrami","I. T. Andika","S. Anselmi","M. Archidiacono","F. Atrio-Barandela","C. Benoist","K. Benson","D. Bertacca","M. Bethermin","L. Bisigello","A. Blanchard","L. Blot","M. L. Brown","S. Bruton","A. Calabro","B. Camacho Quevedo","F. Caro","C. S. Carvalho","T. Castro","Y. Charles","F. Cogato","A. R. Cooray","O. Cucciati","S. Davini","F. De Paolis","G. Desprez","A. Díaz-Sánchez","J. J. Diaz","S. Di Domizio","J. M. Diego","P. -A. Duc","A. Enia","Y. Fang","A. G. Ferrari","P. G. Ferreira","A. Finoguenov","A. Fontana","A. Franco","K. Ganga","J. García-Bellido","T. Gasparetto","V. Gautard","E. Gaztanaga","F. Giacomini","F. Gianotti","G. Gozaliasl","M. Guidi","C. M. Gutierrez","A. Hall","W. G. Hartley","S. Hemmati","C. Hernández-Monteagudo","H. Hildebrandt","J. Hjorth","J. J. E. Kajava","Y. Kang","V. Kansal","D. Karagiannis","K. Kiiveri","C. C. Kirkpatrick","S. Kruk","J. Le Graet","L. Legrand","M. Lembo","F. Lepori","G. Leroy","G. F. Lesci","J. Lesgourgues","L. Leuzzi","T. I. Liaudat","A. Loureiro","J. Macias-Perez","G. Maggio","M. Magliocchetti","E. A. Magnier","F. Mannucci","R. Maoli","C. J. A. P. Martins","L. Maurin","M. Miluzio","P. Monaco","C. Moretti","G. Morgante","C. Murray","K. Naidoo","A. Navarro-Alsina","S. Nesseris","F. Passalacqua","K. Paterson","L. Patrizii","A. Pisani","D. Potter","S. Quai","M. Radovich","S. Sacquegna","M. Sahlén","D. B. Sanders","E. Sarpa","A. Schneider","D. Sciotti","D. Scognamiglio","E. Sellentin","L. C. Smith","K. Tanidis","G. Testera","R. Teyssier","S. Tosi","A. Troja","M. Tucci","C. Valieri","A. Venhola","D. Vergani","G. Verza","P. Vielzeuf","N. A. Walton","J. G. Sorce"],"abstract":"Modern astronomical surveys, such as the Euclid mission, produce high-dimensional, multi-modal data sets that include imaging and spectroscopic information for millions of galaxies. These data serve as an ideal benchmark for large, pre-trained multi-modal models, which can leverage vast amounts of unlabelled data. In this work, we present the first exploration of Euclid data with AstroPT, an autoregressive multi-modal foundation model trained on approximately 300 000 optical and infrared Euclid images and spectral energy distributions (SEDs) from the first Euclid Quick Data Release. We compare self-supervised pre-training with baseline fully supervised training across several tasks: galaxy morphology classification; redshift estimation; similarity searches; and outlier detection. Our results show that: (a) AstroPT embeddings are highly informative, correlating with morphology and effectively isolating outliers; (b) including infrared data helps to isolate stars, but degrades the identification of edge-on galaxies, which are better captured by optical images; (c) simple fine-tuning of these embeddings for photometric redshift and stellar mass estimation outperforms a fully supervised approach, even when using only 1% of the training labels; and (d) incorporating SED data into AstroPT via a straightforward multi-modal token-chaining method improves photo-z predictions, and allow us to identify potentially more interesting anomalies (such as ringed or interacting galaxies) compared to a model pre-trained solely on imaging data.","url_abs":"https://arxiv.org/abs/2503.15312v1","url_pdf":"https://arxiv.org/pdf/2503.15312v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"euclid-quick-data-release-q1-exploring-galaxy","repo_url":"https://github.com/smith42/astropt","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2503.15312","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}