Euclid：利用卷积神经网络发现早期释放观察中的强引力镜
星系天体物理
2025-05-28 v1
摘要
Euclid 的早期释放观察（ERO）检测到若干新的星系-星系强引力镜，预计全天地图规模的调查将发现 17 万个新的系统，显著增强了对暗物质、暗能量的研究，以及对宇宙参数的约束。作为第一步，对 ERO 场（Perseus）中所有星系进行了视觉检查，以识别潜在的强引力镜系统，并与卷积神经网络（CNN）的预测进行比较。然而，整个 ERO 数据集太大，无法通过专家视觉检查。本文因此将 CNN 分析扩展到整个 ERO 数据集，采用不同的 CNN 架构和方法。使用五种 CNN 架构，我们从 IE 波段的 13 个 Euclid ERO 场的裁剪图中识别出 8,469 个强引力镜候选系统，通过视觉检查将其缩小至 97 个，其中包括 14 个 A 级和 31 个 B 级候选。我们报告了强引力镜候选系统 EUCLJ081705.61+702348.8 的光谱确认。前景引力镜是一位来自红移 z = 0.335 的早型星系，背景源是一位来自红移 z = 1.475 的星系化星系，具有 [O II] 发射。通过 Euclid 强引力镜建模管道进行镜面建模，显示两个明显的弧形在引力镜配置中，Einstein 半径为 1.18 ± 0.03 arcseconds，确认了该系统的引力镜性质。这些发现凸显了广泛 CNN 搜索在高效减少候选人数、随后通过视觉检查消除误阳性以实现高纯度强引力镜样本中的重要性。
引用
@article{arxiv.2502.09802,
title = {Euclid: Finding strong gravitational lenses in the Early Release Observations using convolutional neural networks},
author = {B. C. Nagam and J. A. Acevedo Barroso and J. Wilde and I. T. Andika and A. Manjón-García and R. Pearce-Casey and D. Stern and J. W. Nightingale and L. A. Moustakas and K. McCarthy and E. Moravec and L. Leuzzi and K. Rojas and S. Serjeant and T. E. Collett and P. Matavulj and M. Walmsley and B. Clément and C. Tortora and R. Gavazzi and R. B. Metcalf and C. M. O'Riordan and G. Verdoes Kleijn and L. V. E. Koopmans and E. A. Valentijn and V. Busillo and S. Schuldt and F. Courbin and G. Vernardos and M. Meneghetti and A. Díaz-Sánchez and J. M. Diego and L. R. Ecker and T. T. Thai and A. R. Cooray and H. M. Courtois and L. Delchambre and G. Despali and D. Sluse and L. Ulivi and A. Melo and P. Corcho-Caballero and B. Altieri and A. Amara and S. Andreon and N. Auricchio and H. Aussel and C. Baccigalupi and M. Baldi and A. Balestra and S. Bardelli and P. Battaglia and D. Bonino and E. Branchini and M. Brescia and J. Brinchmann and A. Caillat and S. Camera and V. Capobianco and C. Carbone and J. Carretero and S. Casas and M. Castellano and G. Castignani and S. Cavuoti and A. Cimatti and C. Colodro-Conde and G. Congedo and C. J. Conselice and L. Conversi and Y. Copin and M. Cropper and A. Da Silva and H. Degaudenzi and G. De Lucia and A. M. Di Giorgio and J. Dinis and F. Dubath and C. A. J. Duncan and X. Dupac and S. Dusini and M. Fabricius and M. Farina and S. Farrens and S. Ferriol and M. Frailis and E. Franceschi and M. Fumana and K. George and W. Gillard and B. Gillis and C. Giocoli and P. Gómez-Alvarez and A. Grazian and F. Grupp and L. Guzzo and S. V. H. Haugan and J. Hoar and W. Holmes and I. Hook and F. Hormuth and A. Hornstrup and P. Hudelot and K. Jahnke and M. Jhabvala and B. Joachimi and E. Keihänen and S. Kermiche and B. Kubik and K. Kuijken and M. Kümmel and M. Kunz and H. Kurki-Suonio and R. Laureijs and D. Le Mignant and S. Ligori and P. B. Lilje and V. Lindholm and I. Lloro and G. Mainetti 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 E. Medinaceli and M. Melchior and Y. Mellier and E. Merlin and G. Meylan and M. Moresco and L. Moscardini and R. Nakajima and C. Neissner and R. C. Nichol 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 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 J. Skottfelt and L. Stanco and J. -L. Starck 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 A. Tsyganov and I. Tutusaus and L. Valenziano and T. Vassallo and A. Veropalumbo and Y. Wang and J. Weller and A. Zacchei and E. Zucca and C. Burigana and A. Mora and M. Pöntinen and V. Scottez},
journal= {arXiv preprint arXiv:2502.09802},
year = {2025}
}