Euclid 准备：XIII. 利用深度生成模型对 Euclid 巡天星系形态学的预测
星系天体物理
2022-01-26 v3
摘要
我们提出一个机器学习框架来为 Euclid 巡天模拟逼真星系。所提方法将解析模型对星系形状参数的控制与深度生成模型从真实哈勃空间望远镜观测中学到的逼真面亮度分布相结合。我们模拟了 的星系场，如 Euclid 可见光成像仪 VIS 所见，并表明星系结构参数的恢复精度与纯解析 S\'ersic 轮廓相当。基于这些模拟，我们估计 Euclid 宽巡天将能分辨表面亮度低至 的星系内部形态结构，Euclid 深巡天则为 。这对应于任务结束时约 百万个星系，以及在红移 处恒星质量高于 （宽巡天）与 （深巡天）的 % 完备样本。本工作提出的方法可通过允许模拟纳入更逼真的星系，助力未来高精度宇宙学成像巡天的准备工作。
引用
@article{arxiv.2105.12149,
title = {Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using Deep Generative Models},
author = {Euclid Collaboration and H. Bretonnière and M. Huertas-Company and A. Boucaud and F. Lanusse and E. Jullo and E. Merlin and D. Tuccillo and M. Castellano and J. Brinchmann and C. J. Conselice and H. Dole and R. Cabanac and H. M. Courtois and F. J. Castander and P. A. Duc and P. Fosalba and D. Guinet and S. Kruk and U. Kuchner and S. Serrano and E. Soubrie and A. Tramacere and L. Wang and A. Amara and N. Auricchio and R. Bender and C. Bodendorf and D. Bonino and E. Branchini and V. Capobianco and C. Carbone and J. Carretero and S. Cavuoti and A. Cimatti and R. Cledassou and L. Corcione and A. Costille and H. Degaudenzi and M. Douspis and F. Dubath and S. Dusini and S. Ferriol and M. Frailis and E. Franceschi and M. Fumana and B. Garilli and C. Giocoli and A. Grazian and F. Grupp and S. V. H. Haugan and W. Holmes and F. Hormuth and P. Hudelot and K. Jahnke and A. Kiessling and M. Kilbinger and T. Kitching and M. Kümmel and M. Kunz and H. Kurki-Suonio and S. Ligori and P. B. Lilje and I. Lloro and E. Maiorano and O. Mansutti and O. Marggraf and K. Markovic and R. Massey and M. Melchior and M. Meneghetti and G. Meylan and L. Moscardini and S. M. Niemi and C. Padilla and S. Paltani and F. Pasian and K. Pedersen and V. Pettorino and S. Pires and M. Poncet and L. Popa and L. Pozzetti and F. Raison and R. Rebolo and J. Rhodes and M. Roncarelli and E. Rossetti and R. Saglia and P. Schneider and A. Secroun and G. Seidel and C. Sirignano and G. Sirri and J. -L. Starck and A. N. Taylor and I. Tereno and R. Toledo-Moreo and E. A. Valentijn and L. Valenziano and Y. Wang and J. Weller and G. Zamorani and J. Zoubian and M. Baldi and S. Bardelli and S. Brau-Nogue and M. Brescia and S. Camera and G. Congedo and L. Conversi and Y. Copin and C . A. J. Duncan and X. Dupac and R. Farinelli and B. Gillis and S. Kermiche and R. Kohley and F. Marulli and E. Medinaceli and S. Mei and M. Moresco and B. Morin and E. Munari and G. Polenta and E. Romelli and P. Tallada-Crespí and M. Tenti and F. Torradeflot and T. Vassallo and N. Welikala and A. Zacchei and E. Zucca and C. Baccigalupi and A. Balaguera-Antolínez and A. Biviano and S. Borgani and E. Bozzo and C. Burigana and A. Cappi and C. S. Carvalho and S. Casas and G. Castignani and C. Colodro-Conde and J. Coupon and A. Da Silva and S. de la Torre and M. Fabricius and M. Farina and S. Farrens and P. G. Ferreira and P. Flose-Reimberg and S. Fotopoulou and S. Galeotta and K. Ganga and J. Garcia-Bellido and E. Gaztanaga and W. Gillard and G. Gozaliasl and I. M. Hook and B. Joachimi and V. Kansal and A. Kashlinsky and E. Keihanen and C. C. Kirkpatrick and V. Lindholm and G. Mainetti and D. Maino and R. Maoli and M. Martinelli and N. Martinet and S. Maurogordato and H. J. McCracken and R. B. Metcalf and G. Morgante and N. Morisset and R. Nakajima and J. Nightingale and A. Nucita and L. Patrizii and D. Potter and A. Renzi and G. Riccio and A. G. Sánchez and D. Sapone and M. Schirmer and M. Schultheis and V. Scottez and E. Sefusatti and L. Stanco and R. Teyssier and I. Tutusaus and J. Valiviita and M. Viel and L. Whittaker and J. H Knapen},
journal= {arXiv preprint arXiv:2105.12149},
year = {2022}
}
备注
22 pages, 21 figures (6 in appendinx). Accepted for publication to A&A. Change in the title for Euclid submission chronology coherence. Few changes for clarification