欧几里得准备工作。I. 预测基于模板拟合和机器学习方法恢复星系物理属性及其关系
星系天体物理
2024-11-13 v3
摘要
欧几里得将在任务生命周期内收集巨大的数据，观测外部星系天空中的数十亿星系。除了传统的模板拟合方法外，已提出许多机器学习算法用于计算其光度红移和物理参数（PPs），在生产相当于模板拟合方法的性能措施的同时，计算需求显著降低。然而，这些方法的性能受限于输入信息的质量和数量，以至于对某些已知的星系物理参数之间关系的恢复可能无法得到保证。为了预测欧几里得光度红移和PPs计算的可靠性，我们制作了两个模拟目录，以模拟欧几里得光度 photometry。我们模拟了欧几里得宽广调查（EWS）和欧几里得深场（EDF）。我们测试了一种模板拟合算法（Phosphoros）和四种机器学习方法在恢复光度红移、PPs（星质量和星形成速率）以及SFMS方面的性能。为尽可能贴近欧几里得处理方式，模型是使用Phosphoros恢复的标签进行训练的。对于EWS，我们发现采用混合标签方法——即使用宽广调查的特征和来自Phosphoros在更深光度下的标签进行训练——能获得最佳结果，即使用给定光度的最佳标签集合。这对模型施加了先验，帮助其更好地区分特征空间中退化区域的情况，即星系具有相似的光度和颜色，但具有不同的红移和PPs，性能指标甚至优于使用Phosphoros的结果。我们发现使用类似COSMOS的参考样本或删除u波段数据（直到数据发布后DR1才可获得）最多不会导致3%的性能下降。这在EWS方面的最佳结果表明，EDF的适当恢复能够准确恢复光度红移、PPs和SFMS。
引用
@article{arxiv.2407.07940,
title = {Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods},
author = {Euclid Collaboration and A. Enia and M. Bolzonella and L. Pozzetti and A. Humphrey and P. A. C. Cunha and W. G. Hartley and F. Dubath and S. Paltani and X. Lopez Lopez and S. Quai and S. Bardelli and L. Bisigello and S. Cavuoti and G. De Lucia and M. Ginolfi and A. Grazian and M. Siudek and C. Tortora and G. Zamorani and N. Aghanim and B. Altieri and A. Amara and S. Andreon and N. Auricchio and C. Baccigalupi and M. Baldi 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 F. J. Castander and M. Castellano and G. Castignani and A. Cimatti and C. Colodro-Conde and G. Congedo and C. J. Conselice and L. Conversi and Y. Copin and L. Corcione and F. Courbin and H. M. Courtois and A. Da Silva and H. Degaudenzi and A. M. Di Giorgio and J. Dinis and X. Dupac and S. Dusini and M. Fabricius and M. Farina and S. Farrens and S. Ferriol and P. Fosalba and S. Fotopoulou and M. Frailis and E. Franceschi and M. Fumana and S. Galeotta and B. Gillis and C. Giocoli and F. Grupp and S. V. H. Haugan and W. Holmes and I. Hook and F. Hormuth and A. Hornstrup and K. Jahnke and B. Joachimi and E. Keihänen and S. Kermiche and A. Kiessling and B. Kubik and M. Kümmel and M. Kunz and H. Kurki-Suonio 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 M. Martinelli and N. Martinet and F. Marulli and R. Massey and H. J. McCracken 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 E. Munari and C. Neissner and S. -M. Niemi and J. W. Nightingale and C. Padilla and F. Pasian and K. Pedersen and V. Pettorino and G. Polenta and M. Poncet and L. A. Popa 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 D. Sapone and P. Schneider and T. Schrabback and M. Scodeggio and A. Secroun and E. Sefusatti and G. Seidel and S. Serrano and C. Sirignano and G. Sirri and L. Stanco and J. Steinwagner and C. Surace 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 E. Zucca and A. Biviano and A. Boucaud and C. Burigana and M. Calabrese and J. A. Escartin Vigo and J. Gracia-Carpio and N. Mauri and A. Pezzotta and M. Pöntinen and C. Porciani and V. Scottez and M. Tenti and M. Viel and M. Wiesmann and Y. Akrami and V. Allevato and S. Anselmi and M. Ballardini and P. Bergamini and M. Bethermin and A. Blanchard and L. Blot and S. Borgani and S. Bruton and R. Cabanac and A. Calabro and G. Canas-Herrera and A. Cappi and C. S. Carvalho and T. Castro and K. C. Chambers and S. Contarini and T. Contini and A. R. Cooray and O. Cucciati and S. Davini and B. De Caro and G. Desprez and A. Díaz-Sánchez 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 F. Fornari and L. Gabarra and K. Ganga and J. García-Bellido and V. Gautard and E. Gaztanaga and F. Giacomini and F. Gianotti and G. Gozaliasl and A. Hall and S. Hemmati and H. Hildebrandt and J. Hjorth and A. Jimenez Muñoz and S. Joudaki and J. J. E. Kajava and V. Kansal and D. Karagiannis and C. C. Kirkpatrick and J. Le Graet and L. Legrand and A. Loureiro and J. Macias-Perez and G. Maggio and M. Magliocchetti and C. Mancini and F. Mannucci and R. Maoli and C. J. A. P. Martins and S. Matthew and L. Maurin and R. B. Metcalf and P. Monaco 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 A. Schneider and M. Schultheis and M. Sereno and P. Simon and A. Spurio Mancini 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 I. A. Zinchenko and G. Rodighiero and M. Talia},
journal= {arXiv preprint arXiv:2407.07940},
year = {2024}
}
备注
26 pages, 13 figures. Accepted for publication on A&A