Euclid 筹备工作。XLIII. 利用机器学习测量 Euclid 星系的详细形态
星系天体物理
2024-09-23 v2
摘要
Euclid 任务预计将以高分辨率对数百万个星系成像，提供研究星系演化的广泛数据集。我们研究了利用深度学习预测 Euclid 星系详细形态的应用，使用的是 Zoobot，这是一个在 Galaxy Zoo 项目的 450,000 个星系上预训练的卷积神经网络。我们调整了 Zoobot 以适用于模拟的 Euclid 图像，这些图像基于哈勃太空望远镜 COSMOS 图像生成，并由 Galaxy Zoo: Hubble 项目的志愿者提供标签。我们证明，训练后的 Zoobot 模型成功测量了模拟 Euclid 图像的详细形态。它能有效预测星系是否具有特征，并识别和表征各种特征，如旋臂、团块、棒状结构、盘和中心核球。与志愿者分类相比，Zoobot 在大多数形态类型上，针对志愿者确信分类的平均投票分数偏差小于 12%，准确率高于 91%。然而，性能因特定形态类别而异。对于盘状或平滑星系等全局类别，平均偏差小于 10%，仅需 1000 个训练星系即可达到此性能。对于更详细的结构和复杂任务，如检测和计数旋臂或团块，偏差略高，约为 12%，使用了 60,000 个星系进行训练。为了增强对复杂形态的性能，我们预计需要更大的标记星系库，这可以通过众包获得。最后，我们的发现表明，该模型可以有效地适应新的形态标签。我们通过将 Zoobot 应用于特殊星系来证明了这种适应性。总之，我们训练的 Zoobot CNN 可以 readily 预测 Euclid 图像的形态星表。
引用
@article{arxiv.2402.10187,
title = {Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning},
author = {Euclid Collaboration and B. Aussel and S. Kruk and M. Walmsley and M. Huertas-Company and M. Castellano and C. J. Conselice and M. Delli Veneri and H. Domínguez Sánchez and P. -A. Duc and U. Kuchner and A. La Marca and B. Margalef-Bentabol and F. R. Marleau and G. Stevens and Y. Toba and C. Tortora and L. Wang and N. Aghanim and B. Altieri and A. Amara and S. Andreon and N. Auricchio and M. Baldi and S. Bardelli and R. Bender and C. Bodendorf and D. Bonino and E. Branchini and M. Brescia and J. Brinchmann and S. Camera and V. Capobianco and C. Carbone and J. Carretero and S. Casas and S. Cavuoti and A. Cimatti and G. Congedo and L. Conversi and Y. Copin and F. Courbin and H. M. Courtois and M. Cropper and A. Da Silva and H. Degaudenzi and A. M. Di Giorgio and J. Dinis and F. Dubath and X. Dupac and S. Dusini and M. Farina and S. Farrens and S. Ferriol and S. Fotopoulou and M. Frailis and E. Franceschi and P. Franzetti and M. Fumana and S. Galeotta and B. Garilli and B. Gillis and C. Giocoli and A. Grazian and F. Grupp and S. V. H. Haugan and W. Holmes and I. Hook and F. Hormuth and A. Hornstrup and P. Hudelot and K. Jahnke and E. Keihänen and S. Kermiche and A. Kiessling and M. Kilbinger and B. Kubik and M. Kümmel and M. Kunz and H. Kurki-Suonio and R. Laureijs and S. Ligori and P. B. Lilje and V. Lindholm and I. Lloro and E. Maiorano and O. Mansutti and O. Marggraf and K. Markovic and N. Martinet and F. Marulli and R. Massey and S. Maurogordato and E. Medinaceli and S. Mei and Y. Mellier and M. Meneghetti and E. Merlin and G. Meylan and M. Moresco and L. Moscardini and E. Munari 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 R. Rebolo and A. Renzi and J. Rhodes and G. Riccio and E. Romelli and M. Roncarelli and E. Rossetti and R. Saglia and D. Sapone and B. Sartoris and M. Schirmer and P. Schneider and A. Secroun and G. Seidel and S. Serrano and C. Sirignano and G. Sirri and L. Stanco and J. -L. Starck and P. Tallada-Crespí and A. N. Taylor and H. I. Teplitz and I. Tereno and R. Toledo-Moreo and F. Torradeflot and I. Tutusaus and E. A. Valentijn and L. Valenziano and T. Vassallo and A. Veropalumbo and Y. Wang and J. Weller and A. Zacchei and G. Zamorani and J. Zoubian and E. Zucca and A. Biviano and M. Bolzonella and A. Boucaud and E. Bozzo and C. Burigana and C. Colodro-Conde and D. Di Ferdinando and R. Farinelli and J. Graciá-Carpio and G. Mainetti and S. Marcin and N. Mauri and C. Neissner and A. A. Nucita and Z. Sakr and V. Scottez and M. Tenti and M. Viel and M. Wiesmann and Y. Akrami and V. Allevato and S. Anselmi and C. Baccigalupi and M. Ballardini and S. Borgani and A. S. Borlaff and H. Bretonnière and S. Bruton and R. Cabanac and A. Calabro and A. Cappi and C. S. Carvalho and G. Castignani and T. Castro and G. Cañas-Herrera and K. C. Chambers and J. Coupon and O. Cucciati and S. Davini and G. De Lucia and G. Desprez and S. Di Domizio and H. Dole and A. Díaz-Sánchez and J. A. Escartin Vigo and S. Escoffier and I. Ferrero and F. Finelli and L. Gabarra and K. Ganga and J. García-Bellido and E. Gaztanaga and K. George and F. Giacomini and G. Gozaliasl and A. Gregorio and D. Guinet and A. Hall and H. Hildebrandt and A. Jimenez Munoz and J. J. E. Kajava and V. Kansal and D. Karagiannis and C. C. Kirkpatrick and L. Legrand and A. Loureiro and J. Macias-Perez and M. Magliocchetti and R. Maoli and M. Martinelli and C. J. A. P. Martins and S. Matthew and M. Maturi and L. Maurin and R. B. Metcalf and M. Migliaccio and P. Monaco and G. Morgante and S. Nadathur and Nicholas A. Walton and A. Peel and A. Pezzotta and V. Popa and C. Porciani and D. Potter and M. Pöntinen and P. Reimberg and P. -F. Rocci and A. G. Sánchez and A. Schneider and E. Sefusatti and M. Sereno and P. Simon and A. Spurio Mancini and S. A. Stanford and J. Steinwagner and G. Testera and M. Tewes and R. Teyssier and S. Toft and S. Tosi and A. Troja and M. Tucci and C. Valieri and J. Valiviita and D. Vergani and I. A. Zinchenko},
journal= {arXiv preprint arXiv:2402.10187},
year = {2024}
}
备注
27 pages, 26 figures, 5 tables, published in A&A