Euclid 快速数据发布 (Q1)。基于掩模区域的卷积神经网络搜索银河系群星中的巨型引力弧
宇宙学与河外天体物理
2026-03-04 v2 星系天体物理
天体物理仪器与方法
摘要
银河系群星的强引力偏转 (SL) 是探测其内部质量分布并是宇宙学模型的关键测试场。然而，在诸如 Euclid 这样的宽场观测中检测 SL 事件需要能够处理海量数据量的稳健、自动化方法。本文提出了一种基于掩模区域卷积神经网络 (Mask R-CNN) 的高级深度学习 (DL) 框架，旨在自动检测和分割 Euclid 对星系群的多波段成像中明亮的强偏转弧。该模型在由将模拟的背景源注入到 10 个大型引力星系的 Hubble 太空望远镜图像中，利用其由大量光谱数据构建的高精度质量模型而构建的真实模拟数据集上进行训练。该网络在超过 4500 张模拟图像上进行训练和验证，并在独立的 500 组模拟以及真实的 Euclid 快速数据发布 (Q1) 观测中进行测试。训练好的网络在测试集中成功识别引力弧，精确率和召回率分别为 76% 和 58%，以几乎瞬间的时间处理 的图像。当应用于一组视觉确认的 Euclid Q1 星系群级透镜时，我们的模型恢复了训练期间用于阈值的 66% 的引力弧。尽管该模型显示出有前景的成果，但仍存在一些假阳性产出以及检测较小、较淡弧的挑战。我们的结果表明，先进的 DL 计算机视觉技术具有高效且可扩展的弧检测潜力，使其能够自动化分析当前和未来宽场观测中的 SL 系统。该代码 ARTEMIDE 已开源，可在 github.com/LBasz/ARTEMIDE 上获取。
关键词
引用
@article{arxiv.2511.03064,
title = {Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks},
author = {Euclid Collaboration and L. Bazzanini and G. Angora and P. Bergamini and M. Meneghetti and P. Rosati and A. Acebron and C. Grillo and M. Lombardi and R. Ratta and M. Fogliardi and G. Di Rosa and D. Abriola and M. D'Addona and G. Granata and L. Leuzzi and A. Mercurio and S. Schuldt and E. Vanzella and C. Tortora and B. Altieri and S. Andreon and N. Auricchio and C. Baccigalupi and M. Baldi and A. Balestra and S. Bardelli and P. Battaglia and A. Biviano and E. Branchini and M. Brescia and S. Camera and G. Cañas-Herrera and V. Capobianco and C. Carbone and J. Carretero and M. Castellano and G. Castignani and S. Cavuoti and A. Cimatti and C. Colodro-Conde and G. Congedo and L. Conversi and Y. Copin and A. Costille and F. Courbin and H. M. Courtois and M. Cropper and A. Da Silva and H. Degaudenzi and G. De Lucia and H. Dole and F. Dubath and C. A. J. Duncan and X. Dupac and S. Dusini and S. Escoffier and M. Fabricius and M. Farina and R. Farinelli and F. Faustini and S. Ferriol and F. Finelli and M. Frailis and E. Franceschi and M. Fumana and S. Galeotta and W. Gillard and B. Gillis and C. Giocoli and J. Gracia-Carpio and A. Grazian and F. Grupp and L. Guzzo and S. V. H. Haugan and J. Hoar and W. Holmes and I. M. Hook and F. Hormuth and A. Hornstrup and K. Jahnke and M. Jhabvala and B. Joachimi and E. Keihänen and S. Kermiche and A. Kiessling and M. Kilbinger and B. Kubik and M. Kunz and H. Kurki-Suonio and R. Laureijs and A. M. C. Le Brun and D. Le Mignant and S. Ligori and P. B. Lilje and V. Lindholm and I. Lloro and G. Mainetti and D. Maino and E. Maiorano and O. Mansutti and O. Marggraf and M. Martinelli and N. Martinet and F. Marulli and R. J. Massey and E. Medinaceli and S. Mei and M. Melchior and Y. Mellier and E. Merlin and G. Meylan and A. Mora and M. Moresco and L. Moscardini and C. Neissner and S. -M. Niemi and C. Padilla and S. Paltani and F. Pasian and K. Pedersen and W. J. Percival and V. Pettorino and S. Pires and G. Polenta and M. Poncet and L. A. Popa and L. Pozzetti and F. Raison and A. Renzi and J. Rhodes and G. Riccio and E. Romelli and M. Roncarelli and R. Saglia and Z. Sakr and A. G. Sánchez and D. Sapone and B. Sartoris and P. Schneider and T. Schrabback and A. Secroun and G. Seidel and S. Serrano and P. Simon and C. Sirignano and G. Sirri and L. Stanco and J. Steinwagner and P. Tallada-Crespí and A. N. Taylor and I. Tereno and N. Tessore and S. Toft and R. Toledo-Moreo and F. Torradeflot and I. Tutusaus and E. A. Valentijn and L. Valenziano and J. Valiviita and T. Vassallo and G. Verdoes Kleijn and A. Veropalumbo and Y. Wang and J. Weller and A. Zacchei and G. Zamorani and E. Zucca and M. Ballardini and M. Bolzonella and E. Bozzo and C. Burigana and R. Cabanac and M. Calabrese and A. Cappi and D. Di Ferdinando and J. A. Escartin Vigo and W. G. Hartley and J. Martín-Fleitas and S. Matthew and N. Mauri and R. B. Metcalf and A. Pezzotta and M. Pöntinen and I. Risso and V. Scottez and M. Sereno and M. Tenti and M. Viel and M. Wiesmann and Y. Akrami and I. T. Andika and S. Anselmi and M. Archidiacono and F. Atrio-Barandela and E. Aubourg and D. Bertacca and M. Bethermin and A. Blanchard and L. Blot and H. Böhringer and M. Bonici and S. Borgani and M. L. Brown and S. Bruton and A. Calabro and B. Camacho Quevedo and F. Caro and C. S. Carvalho and T. Castro and B. Clément and F. Cogato and S. Conseil and A. R. Cooray and O. Cucciati and S. Davini and F. De Paolis and G. Desprez and A. Díaz-Sánchez and J. J. Diaz and S. Di Domizio and J. M. Diego and P. Dimauro and P. -A. Duc and M. Y. Elkhashab and A. Enia and Y. Fang and A. Finoguenov and A. Fontana and A. Franco and K. Ganga and J. García-Bellido and T. Gasparetto and V. Gautard and R. Gavazzi and E. Gaztanaga and F. Giacomini and F. Gianotti and A. H. Gonzalez and G. Gozaliasl and M. Guidi and C. M. Gutierrez and S. Hemmati and H. Hildebrandt and J. Hjorth and J. J. E. Kajava and Y. Kang and V. Kansal and D. Karagiannis and K. Kiiveri and J. Kim and C. C. Kirkpatrick and S. Kruk and J. Le Graet and L. Legrand and M. Lembo and F. Lepori and G. Leroy and G. F. Lesci and J. Lesgourgues and T. I. Liaudat and S. J. Liu and A. Loureiro and J. Macias-Perez and M. Magliocchetti and F. Mannucci and R. Maoli and C. J. A. P. Martins and L. Maurin and C. J. R. McPartland and M. Miluzio and P. Monaco and C. Moretti and G. Morgante and C. Murray and K. Naidoo and A. Navarro-Alsina and S. Nesseris and D. Paoletti and F. Passalacqua and K. Paterson and A. Pisani and D. Potter and S. Quai and M. Radovich and P. -F. Rocci and S. Sacquegna and M. Sahlén and D. B. Sanders and E. Sarpa and A. Schneider and D. Sciotti and E. Sellentin and L. C. Smith and J. G. Sorce and K. Tanidis and C. Tao and G. Testera and R. Teyssier and S. Tosi and A. Troja and M. Tucci and C. Valieri and A. Venhola and D. Vergani and G. Verza and P. Vielzeuf and N. A. Walton and D. Scott},
journal= {arXiv preprint arXiv:2511.03064},
year = {2026}
}
备注
Accepted by A&A (aa57590-25) [12 pages, 6 figures]