Data from Huang et al. 2025 (submitted to ApJ)
收藏DataCite Commons2025-02-02 更新2025-04-09 收录
下载链接:
http://archive.stsci.edu/doi/resolve/resolve.html?doi=10.17909/hx0v-9260
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资源简介:
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.
提供机构:
STScI/MAST
创建时间:
2025-02-02
搜集汇总
数据集介绍

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。
以上内容由遇见数据集搜集并总结生成



