Data from Huang et al. 2025 (submitted to ApJ)

These HST observations are for a subset (51) of strong lens candidates found in the DESI Legacy Imaging Surveys using ResNet (Huang et al. 2020, 2021). All 51 systems are confirmed to be strong lenses. From this very rich dataset, a number of studies will be carried out, including evaluating the quality of the ResNet search candidates and lens modeling. In Huang et al. 2025 (submitted), we present our initial effort in these directions. In particular, as a demonstration, we present the lens model for DESI-165.4755-06.0422, with imaging data from HST, and lens and source redshifts from DESI and Keck NIRES, respectively. We use a fast, fully forward-modeling Bayesian pipeline, GIGA-Lens. This is the first time a strong lens with HST data, or any high resolution imaging, has been modeled using GPUs.本哈勃空间望远镜（Hubble Space Telescope, HST）观测数据集，针对通过残差网络（ResNet）从DESI遗产成像巡天（DESI Legacy Imaging Surveys）中筛选得到的51个强引力透镜候选体构成的子集（Huang等人，2020、2021）。该51个天体系统均已被证实为强引力透镜系统。依托这一丰富的数据集，我们将开展多项研究，包括评估ResNet筛选候选体的质量以及引力透镜建模工作。在Huang等人2025年（已投稿）的研究中，我们展示了在上述方向上的初步探索成果。具体而言，作为示范案例，我们给出了天体DESI-165.4755-06.0422的引力透镜模型：其成像数据来自哈勃空间望远镜，透镜星系与源星系的红移分别由DESI和凯克NIRES（Keck NIRES）测得。我们采用了一套快速的全正向建模贝叶斯分析流程GIGA-Lens。这是首次利用图形处理器（Graphics Processing Unit, GPU）对搭载哈勃空间望远镜或其他高分辨率成像数据的强引力透镜系统完成建模。

搜集汇总

背景与挑战

背景概述

该数据集包含哈勃太空望远镜对51个已确认强引力透镜系统的观测数据，来源于DESI Legacy Imaging Surveys的ResNet搜索候选体。数据用于评估候选体质量和透镜建模研究，其中以DESI-165.4755-06.0422为例，首次使用基于GPU的GIGA-Lens流程进行快速贝叶斯建模，展示了高分辨率成像数据在强引力透镜分析中的应用。