Euclid：测试发射线星系目标的光度选择
宇宙学与河外天体物理
2024-09-18 v1
摘要
多目标光谱星系巡天通常利用光度和颜色标准来选择目标。相反，Euclid NISP 无缝光谱仪将记录其视场内每个源的光谱。无缝光谱学的优点是避免了先验定义星系样本，但代价是使选择函数更难量化。Euclid 宽巡天旨在构建稳健的发射线星系统计样本，其 Halpha-NII 复合体流量亮于 2e-16 erg/s/cm^2 且红移在 0.9<z<1.8 范围内。在暗弱流量下，我们预计会因发射线错误识别或噪声涨落而导致错误测量的红移造成显著污染，从而降低最终样本的纯度。通过利用 Euclid 光度信息来识别感兴趣红移范围内的发射线星系，可以显著改善这一点。为此目标，我们比较并量化了六种机器学习分类算法的性能。我们考虑了仅使用 Euclid 光度和形态测量，以及辅以地面光度数据的情况。我们在两个模拟星系样本（EL-COSMOS 和 Euclid Flagship2 星表）上训练和测试分类器。密集神经网络和支持向量分类器获得了最佳性能，在所采用的指标上结果相当。当仅使用 Euclid 光度学训练时，这些方法可以移除 87% 的比标称流量极限更暗或位于 0.9<z<1.8 范围之外的源，当包含地面光度学时，这一数字增加到 97%。这些结果表明，通过使用 Euclid 可用的光度信息，将有可能有效识别并剔除虚假的闯入者，从而使我们能够为宇宙学研究构建稳健的光谱样本。
引用
@article{arxiv.2403.08726,
title = {Euclid: Testing photometric selection of emission-line galaxy targets},
author = {M. S. Cagliari and B. R. Granett and L. Guzzo and M. Bethermin and M. Bolzonella and S. de la Torre and P. Monaco and M. Moresco and W. J. Percival and C. Scarlata and Y. Wang and M. Ezziati and O. Ilbert and V. Le Brun and A. Amara and S. Andreon and N. Auricchio and M. Baldi and S. Bardelli and R. Bender and C. Bodendorf 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 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 C. A. J. Duncan and X. Dupac and S. Dusini and A. Ealet and M. Farina and S. Farrens and S. Ferriol and S. Fotopoulou and M. Frailis and E. Franceschi and S. Galeotta and B. Gillis and C. Giocoli and A. Grazian and F. Grupp and S. V. H. Haugan and H. Hoekstra and I. Hook and F. Hormuth and A. Hornstrup 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 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 K. Markovic and N. Martinet and F. Marulli and R. Massey and S. Maurogordato and H. J. McCracken and E. Medinaceli and S. Mei and Y. Mellier and M. Meneghetti and E. Merlin and G. Meylan 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 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 P. Schneider and M. Scodeggio and A. Secroun and G. Seidel and M. Seiffert and S. Serrano and C. Sirignano and G. Sirri and J. Skottfelt and L. Stanco and C. Surace 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 J. Weller and G. Zamorani and J. Zoubian and E. Zucca and C. Burigana and V. Scottez and M. Viel and L. Bisigello},
journal= {arXiv preprint arXiv:2403.08726},
year = {2024}
}
备注
19 pages, 12+3 figures, submitted to A&A