发表机构
Northeastern University; New York University; University of Cambridge; University of Toronto; Jet Propulsion Laboratory, California Institute of Technology; California Institute of Technology; Stanford University（东北大学; 纽约大学; 剑桥大学; 多伦多大学; 加州理工学院喷气推进实验室; 加州理工学院; 斯坦福大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
利用SuperBIT平流层望远镜的成像数据，通过颜色-颜色法构建背景星系目录并采用Kaiser-Squires反演，首次成功绘制了6个星系团的弱引力透镜会聚度图，并与X射线及红序成员数密度示踪物对比验证。
AI 中文摘要
超压气球载成像望远镜（SuperBIT）于2023年4月完成其科学飞行，获取了30个星系团的成像数据。在本工作中，我们展示了来自这些观测的首批弱引力透镜会聚度图，使用了从30个目标中选出的6个星系团。我们利用SuperBIT的三波段测光以及基于颜色-颜色法来区分前景和背景星系，构建了背景星系目录，并采用Lensing in the Blue III中呈现的校准星系形状，通过Kaiser-Squires反演重建弱引力透镜会聚度场。我们将这6个星系团的会聚度信噪比图与独立示踪物进行比较，包括X射线发射和红序星系团成员数密度图。这些结果证明了利用亚轨道天文台成像进行的首次成功弱引力透镜质量制图。
英文摘要
The Super-Pressure Balloon-borne Imaging Telescope (SuperBIT) completed its science flight in April 2023, obtaining imaging data for 30 galaxy clusters. In this work, we present the first weak-lensing convergence maps from these observations, using six clusters selected from the 30 targets. We construct background-galaxy catalogs using SuperBIT's three-band photometry and a color-color-based method to separate foreground and background galaxies, and use the calibrated galaxy shapes presented in Lensing in the Blue III to reconstruct the weak-lensing convergence field using Kaiser-Squires inversion. We compare the convergence signal-to-noise maps for the six clusters with independent tracers, including X-ray emission and red-sequence cluster-member number-density maps. These results demonstrate the first successful weak-lensing mass mapping with imaging from a sub-orbital astronomical observatory.
CommentsSubmitted to ApJL
