发表机构
University of California, Merced; The University of Kansas; Ecole Polytechnique Fédérale de Lausanne (EPFL); University of Waterloo; University of California, Davis; York University; University of Colorado（加利福尼亚大学默塞德分校; 堪萨斯大学; 洛桑联邦理工学院; 滑铁卢大学; 加利福尼亚大学戴维斯分校; 约克大学; 科罗拉多大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究利用深度学习反卷积技术对z~1的GOGREEN星系团星系进行空间分辨分类，发现星系团优先抑制低质量星系外围的恒星形成，部分淬灭星系会干扰积分颜色的测量结果。
AI 中文摘要
探测致密环境中抑制恒星形成的物理过程的有力手段，是确定星系内部恒星形成被抑制的位置。在高红移处，多波段成像的空间分辨率限制了这类测量。我们使用基于深度学习的反卷积技术，利用在HST和JWST成像上训练的定制模型，恢复了9个红移1<z<1.4的GOGREEN星系团中星系的空间分辨光学和近红外测光。利用分辨后的静止帧UVJ颜色，我们将星系按其内部和外部区域的恒星形成状态分类为：以恒星形成为主、以宁静态为主、内部淬灭或外部淬灭。我们发现，根据积分颜色被归类为宁静态的星系中，有24%仍保留显著的恒星形成。以宁静态为主的比例随恒星质量增加而升高，且在星系团中比在场星系中更高；当限定为以宁静态为主的星系时，星系团的淬灭比例过剩约为20%。与之前GOGREEN使用积分颜色的研究相反，我们发现该过剩与恒星质量无关，表明部分淬灭的星系会对基于积分颜色的测量产生偏差。在保留显著恒星形成的星系中，外部淬灭星系比内部淬灭星系普遍得多，且在低质量星系中，星系团中的外部淬灭星系比例相对场星系过剩(22.8±5.8)%。这提供了星系团优先抑制低质量星系外围恒星形成的证据。我们的结果表明，空间分辨分类对于解释z~1处的环境淬灭至关重要，且基于深度学习的反卷积技术具有从大型地面成像数据集中恢复此类信息的潜力。
英文摘要
A powerful probe of the physical processes that quench star formation in dense environments is determining where within galaxies star formation is suppressed. At high redshift, the spatial resolution of multi-band imaging limits such measurements. We use deep-learning-based deconvolution to recover spatially resolved optical and near-infrared photometry for galaxies in nine GOGREEN clusters at 1<z<1.4, using customized models trained on HST and JWST imaging. Using resolved rest-frame UVJ colors, we classify galaxies by the star-forming states of their inner and outer regions into predominantly star-forming, predominantly quiescent, inside-quenched, or outside-quenched. We find that 24% of galaxies classified as quiescent from their integrated colors retain significant star formation. The predominantly quiescent fraction increases with stellar mass and is higher in clusters than in the field while the cluster quenched fraction excess is, when limiting to predominantly quenched galaxies, approximately 20%. Contrary to previous GOGREEN studies using integrated colors, we find this excess to be independent of stellar mass, demonstrating that partially quenched galaxies can bias measurements based on integrated colors. Among galaxies retaining significant star formation, outside-quenched galaxies are substantially more common than inside-quenched galaxies and have a fraction excess of (22.8+/-5.8)% in clusters relative to the field at low masses. This provides evidence that clusters preferentially suppress star formation in the outskirts of low-mass galaxies. Our results demonstrate the importance of spatially resolved classifications for interpreting environmental quenching at z~1 and the potential of deep-learning-based deconvolution to recover such information from large ground-based imaging datasets.
Comments30 pages (including 3 pages appendix), 20 figures, 7 tables
