Euclid 准备工作. LXVIII. 基于机器学习从星系中提取物理参数
星系天体物理
2025-04-09 v3
摘要
Euclid 任务正在为高角分辨率的四个宽带滤波器中生成大量成像数据. 这将允许详细研究星系的质量、金属丰度和恒星人口,从而约束其形成和演化路径. 将 Euclid 的成像数据转化为大规模星系物理参数图,以高效可靠的方式完成仍是一个突出的挑战. 我们研究了机器学习技术的潜力和可靠性,以从已解析的星系中提取物理参数的分布. 我们专注于估计恒星质量面积密度、质量加权恒星金属丰度和年龄. 我们为来自 TNG50 宇宙模拟的 1154 个星系生成无噪声的高分辨率模拟成像数据. 这些图像使用 SKIRT 辐射传递代码生成,考虑恒星人口和星际尘埃衰减的复杂三维分布. 我们使用机器学习框架将理想化的模拟观测数据映射到像素级别的物理参数上. 我们发现,恒星质量面积密度可在 的散射范围内准确恢复. 相反,恒星金属丰度和年龄估计如预期的那样不够稳健,但仍包含来自亚克米尺度内星系质量面积密度与星系人口属性之间相关性的显著信息.
引用
@article{arxiv.2501.14408,
title = {Euclid preparation. LXVIII. Extracting physical parameters from galaxies with machine learning},
author = {Euclid Collaboration and I. Kovačić and M. Baes and A. Nersesian and N. Andreadis and L. Nemani and Abdurro'uf and L. Bisigello and M. Bolzonella and C. Tortora and A. van der Wel and S. Cavuoti and C. J. Conselice and A. Enia and L. K. Hunt and P. Iglesias-Navarro and E. Iodice and J. H. Knapen and F. R. Marleau and O. Müller and R. F. Peletier and J. Román and R. Ragusa and P. Salucci and T. Saifollahi and M. Scodeggio and M. Siudek and T. De Waele and A. Amara and S. Andreon and N. Auricchio and C. Baccigalupi and M. Baldi and S. Bardelli and P. Battaglia and R. Bender and C. Bodendorf and D. Bonino and W. Bon 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 F. J. Castander and M. Castellano and G. Castignani and A. Cimatti and C. Colodro-Conde and G. Congedo and L. Conversi and Y. Copin and F. Courbin and H. M. Courtois and A. Da Silva and H. Degaudenzi and G. De Lucia and A. M. Di Giorgio and J. Dinis and M. Douspis and F. Dubath and X. Dupac and S. Dusini and A. Ealet and M. Farina and S. Farrens and F. Faustini and S. Ferriol and P. Fosalba and M. Frailis and E. Franceschi and S. Galeotta and B. Gillis and C. Giocoli and A. Grazian and F. Grupp and L. Guzzo and S. V. H. Haugan and W. Holmes and I. 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 K. Kuijken and M. Kümmel and M. Kunz and H. Kurki-Suonio and S. Ligori and P. B. Lilje and V. Lindholm and I. Lloro and D. Maino and E. Maiorano and O. Mansutti and S. Marcin and O. Marggraf and K. Markovic and M. Martinelli and N. Martinet and F. Marulli and R. Massey and E. Medinaceli and S. Mei and M. Melchior and Y. Mellier and M. Meneghetti and E. Merlin and G. Meylan and M. Moresco and L. Moscardini and S. -M. Niemi and J. W. Nightingale and C. Padilla and S. Paltani and F. Pasian and K. Pedersen 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 Z. Sakr and A. G. Sánchez and D. Sapone and B. Sartoris and M. Schirmer and P. Schneider and T. Schrabback and A. Secroun and G. Seidel and S. Serrano and C. Sirignano and G. Sirri and L. Stanco and J. Steinwagner and P. Tallada-Crespí and D. Tavagnacco and A. N. Taylor and H. I. Teplitz and I. Tereno and R. Toledo-Moreo and F. Torradeflot and I. Tutusaus and L. Valenziano 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 A. Biviano and E. Bozzo and C. Burigana and M. Calabrese and D. Di Ferdinando and J. A. Escartin Vigo and F. Finelli and J. Gracia-Carpio and S. Matthew and N. Mauri and M. Pöntinen and V. Scottez and M. Tenti and M. Viel and M. Wiesmann and Y. Akrami and V. Allevato and S. Alvi and S. Anselmi and M. Archidiacono and F. Atrio-Barandela and M. Ballardini and M. Bethermin and L. Blot and S. Borgani and S. Bruton and R. Cabanac and A. Calabro and B. Camacho Quevedo and G. Cañas-Herrera and A. Cappi and F. Caro and C. S. Carvalho and T. Castro and K. C. Chambers and T. Contini and A. R. Cooray and O. Cucciati and G. Desprez and A. Díaz-Sánchez and J. J. Diaz and S. Di Domizio and H. Dole and S. Escoffier and A. G. Ferrari and P. G. Ferreira and I. Ferrero and A. Finoguenov and A. Fontana and F. Fornari and L. Gabarra and K. Ganga and J. García-Bellido and T. Gasparetto and V. Gautard and E. Gaztanaga and F. Giacomini and F. Gianotti and G. Gozaliasl and C. M. Gutierrez and A. Hall and S. Hemmati and H. Hildebrandt and J. Hjorth and A. Jimenez Muñoz and J. J. E. Kajava and V. Kansal and D. Karagiannis and C. C. Kirkpatrick and A. M. C. Le Brun and J. Le Graet and J. Lesgourgues and T. I. Liaudat and A. Loureiro and J. Macias-Perez and G. Maggio and M. Magliocchetti and F. Mannucci and R. Maoli and J. Martín-Fleitas and C. J. A. P. Martins and L. Maurin and R. B. Metcalf and M. Miluzio and P. Monaco and A. Montoro and A. Mora and C. Moretti and G. Morgante and Nicholas A. Walton and L. Patrizii and V. Popa and D. Potter and I. Risso and P. -F. Rocci and M. Sahlén and E. Sarpa and C. Scarlata and A. Schneider and M. Sereno and F. Shankar and P. Simon and A. Spurio Mancini and J. Stadel and S. A. Stanford and K. Tanidis and C. Tao and G. Testera 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 G. Verza and P. Vielzeuf},
journal= {arXiv preprint arXiv:2501.14408},
year = {2025}
}