[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126402-en":3,"doc-seo-126402-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},126402,962085571259,"Theodora","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Euclid preparation - LXVIII - Extracting physical parameters from galaxies with machine learning","Euclid preparation: LXVIII presents methods for extracting physical parameters from galaxies using machine learning. The work is part of the Euclid preparation program published in Astronomy & Astrophysics, with a formal collaboration author list under the Euclid Collaboration. The article focuses on deriving galaxy physical properties from observational data through data-driven models, supporting Euclid mission objectives. It includes formal publication details, version-of-record information, and citation metadata for academic referencing.","University of Groningen  \nEuclid preparation  \nEuclid Collaboration; Kovačić, I; Baes, M. ; Nersesian, A; Andreadis, N; Nemani, L;  \nAbdurro’uf; Bisigello, L; Peletier, Reynier; Verdoes Kleijn, Gijs Published in:  \nAstronomy & Astrophysics  \nDOI:  \n10.1051/0004-6361/202453111  \nIMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.  \nDocument Version  \nPublisher's PDF, also known as Version of record  \nPublication date: 2025  \nLink to publication in University of Groningen/UMCG research database  \nCitation for published version (APA):  \nEuclid Collaboration, Kovačić, I. , Baes, M. , Nersesian, A. , Andreadis, N. , Nemani, L. , Abdurro’uf, Bisigello, L. , Peletier, R. , & Verdoes Kleijn, G. (2025) . Euclid preparation: LXVIII. Extracting physical parameters from galaxies with machine learning. Astronomy & Astrophysics, 695, Article A284 . [https://doi.org/10.1051/0004-](https://doi.org/10.1051/0004-)[ ](https://doi.org/10.1051/0004-)6361/202453111  \nCopyright  \nOther than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons) .  \nThe publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: [https://www.rug.nl/library/open-access/self-archiving-pure/taverne](https://www.rug.nl/library/open-access/self-archiving-pure/taverne)amendment.  \nTake-down policy  \nIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.  \nDownloaded from the University of Groningen/U MCG research database (Pure): [http://www.rug. nl/research/portal. For technical reasons the](http://www.rug. nl/research/portal. For technical reasons the)[ ](http://www.rug. nl/research/portal. For technical reasons the)[number of authors shown on this cover page is limited to 10 maximum.](number of authors shown on this cover page is limited to 10 maximum.)  \nDownload date: 30-12-2025  \nA&A, 695, A284 (2025)  \n[https:](https://doi.org/10.1051/0004-6361/202453111)[//](https://doi.org/10.1051/0004-6361/202453111)[doi.org](https://doi.org/10.1051/0004-6361/202453111)[/](https://doi.org/10.1051/0004-6361/202453111)[10.1051](https://doi.org/10.1051/0004-6361/202453111)[/](https://doi.org/10.1051/0004-6361/202453111)[0004-6361](https://doi.org/10.1051/0004-6361/202453111)[/](https://doi.org/10.1051/0004-6361/202453111)[202453111](https://doi.org/10.1051/0004-6361/202453111)  \n The Authors 2025  \n&~~t~~ronomy~~t~~rop~~h~~ys~~i~~cs  \nEuclid preparation  \nLXVIII. Extracting physical parameters from galaxies with machine learning  \nEuclid Collaboration: I. Kovai1; ?, M. Baes 1, A. Nersesian2 , 1, N. Andreadis 1, L. Nemani3 , Abdurro'uf4, L. Bisigello5 ,6, M. Bolzonella7, C. Tortora8, A. van der Wel 1, S. Cavuoti8 ,9, C. J. Conselice 10 , A. Enia 11 ,7, L. K. Hunt 12, P. Iglesias-Navarro 13 , 14, E. Iodice8, J. H. Knapen 13 , 14, F. R. Marleau 15 , O. Müller 16, R. F. Peletier 17, J. Román 14 , 13, R. Ragusa8 , P. Salucci 18 , 19, T. Saifollahi20, M. Scodeggio21, M. Siudek22 ,23 , T. De Waele 1, A. Amara24 , S. Andreon25 , N. Auricchio7 , C. Baccigalupi26 ,27 , 19 , 18 , M. Baldi 11 ,7 ,28 , S. Bardelli7 , P. Battaglia7 , R. Bender29 ,30 , C. Bodendorf29 , D. Bonino31 , W. Bon32 , E. Branchini33 ,34 ,25 , M. Brescia35 ,8 ,9 , J. Brinchmann36 ,37 , S. Camera38 ,39 ,31 , V. Capobianco31 , C. Carbone21 , J. Carretero40 ,41 , S. Casas42 ,  \nF. J. Castander23 ,43 , M. Castellano3 , G. Castignani7 , A. Cimatti44 , C. Colodro-Conde 13 , G. Congedo45 ,  \nL. Conversi46 ,47 , Y. Copin48 , F. Courbin 16 ,49 ,50 , H. M. Courtois51 , A. Da Silva52 ,53 , H","cbCaikwm9HswOI5f","https://ap.wps.com/l/cbCaikwm9HswOI5f","pdf",7958219,6,1,27,"English","en",105,"# Publication details\n## Citation and version information\n## Copyright and access notes","[{\"question\":\"What topic does Euclid preparation LXVIII cover?\",\"answer\":\"It focuses on extracting physical parameters from galaxies using machine learning.\"},{\"question\":\"Who is listed as the main collaboration for this work?\",\"answer\":\"The Euclid Collaboration is credited as the primary author group.\"},{\"question\":\"Where is the article published and how is it cited?\",\"answer\":\"It is published in Astronomy \\u0026 Astrophysics and includes a DOI (10.1051/0004-6361/202453111) with an APA citation format.\"}]","Euclid preparation - LXVIII - Extracting physical parameters from galaxies with machine learning | PDF",1785904877,68,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"euclid-preparation-lxviii-extracting-physical-parameters-from-galaxies-with-machine-learning","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/euclid-preparation-lxviii-extracting-physical-parameters-from-galaxies-with-machine-learning/126402/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-23","2026-08-05",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"What topic does Euclid preparation LXVIII cover?","Question",{"text":77,"@type":78},"It focuses on extracting physical parameters from galaxies using machine learning.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"Who is listed as the main collaboration for this work?",{"text":82,"@type":78},"The Euclid Collaboration is credited as the primary author group.",{"name":84,"@type":75,"acceptedAnswer":85},"Where is the article published and how is it cited?",{"text":86,"@type":78},"It is published in Astronomy & Astrophysics and includes a DOI (10.1051/0004-6361/202453111) with an APA citation format.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,99,103,107,112,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":100,"show_sort_weight":101,"slug":102},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":104,"show_sort_weight":105,"slug":106},"Exam",70,"exam",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":110,"slug":111},5,"Comic",60,"comic",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":108,"slug":139},19,"General","general"]