Euclid：利用梯度提升树识别 Euclid 深场中最红的高红移星系
宇宙学与河外天体物理
2024-05-28 v2
摘要
尘埃丰富、遥远且大质量（）的星系通常表现出显著的恒星形成活动，根据 ALMA 观测，它们在 -- 时贡献了约 的宇宙恒星形成率密度，在 时高达 。尽管如此，它们在经典光学巡天中难以捉摸，目前的近红外巡天仅能在非常小的天区范围内探测到它们。由于这些天体的空间密度较低，需要进行深且广的巡天才能获得关于它们的统计相关结果。Euclid 卫星潜在具备提供所需信息的能力，但鉴于在其波段内这些距离上缺乏光谱特征，是否可能识别和表征这些天体仍不清楚。本工作的目标是评估 Euclid 结合辅助光学和近红外数据，基于宽带测光识别这些遥远、尘埃丰富且大质量星系的能力。我们使用梯度提升算法来预测高 天体的红移和光谱类型。为了进行此类分析，我们利用了使用 SPRITZ 软件衍生的模拟测光观测数据。研究发现，梯度提升算法在预测 Euclid 深场巡天模拟星表中 天体的红移和光谱类型方面是准确的。特别是，我们研究了 HIEROs（即满足 的源）的类似物，结合了 Euclid 和 Spitzer 在深场深度的数据。我们发现 的尘埃种群被良好识别，其红移均方根（RMS）和异常值分数（OLF）分别仅为 和 （）。我们的发现表明，利用 Euclid 我们将获得关于大质量尘埃星系在宇宙恒星形成率随时间演变中作用的有意义见解。
引用
@article{arxiv.2402.04800,
title = {Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees},
author = {T. Signor and G. Rodighiero and L. Bisigello and M. Bolzonella and K. I. Caputi and E. Daddi and G. De Lucia and A. Enia and L. Gabarra and C. Gruppioni and A. Humphrey and F. La Franca and C. Mancini and L. Pozzetti and S. Serjeant and L. Spinoglio and S. E. van Mierlo and S. Andreon and N. Auricchio and M. Baldi and S. Bardelli and P. Battaglia 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 M. Castellano and S. Cavuoti and A. Cimatti and R. Cledassou 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 F. Dubath and X. Dupac and S. Dusini and A. Ealet and M. Farina and S. Farrens and S. Ferriol and S. Fotopoulou and E. Franceschi and S. Galeotta and B. Garilli and W. Gillard and B. Gillis and C. Giocoli and A. Grazian and F. Grupp and L. Guzzo and S. V. H. Haugan and I. Hook and F. Hormuth and A. Hornstrup and K. Jahnke and M. Kümmel and S. Kermiche and A. Kiessling and M. Kilbinger and T. Kitching 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 O. Marggraf and N. Martinet and F. Marulli and R. Massey and E. Medinaceli and M. Melchior and Y. Mellier and M. Meneghetti and E. Merlin and M. Moresco and L. Moscardini and E. Munari and R. C. Nichol and S. -M. Niemi 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 F. Raison 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 P. Schneider and T. Schrabback and A. Secroun and G. Seidel and S. Serrano and C. Sirignano and G. Sirri and L. Stanco and C. Surace and P. Tallada-Crespí and H. I. Teplitz and I. Tereno and R. Toledo-Moreo and F. Torradeflot and I. Tutusaus and E. A. Valentijn and T. Vassallo and A. Veropalumbo and Y. Wang and J. Weller and O. R. Williams and J. Zoubian and E. Zucca and C. Burigana and V. Scottez},
journal= {arXiv preprint arXiv:2402.04800},
year = {2024}
}
备注
18 pages, 13 figures, accepted in A&A