An Independent Test of the Hubble Constant Tension with Time-Delay Cosmography

在2022财年，我有一篇被认可的期刊论文作为通讯作者被接受发表（Wong et al. 2022， PASJ, 74,1209），我是另一篇被认可的期刊论文的两位主要作者之一（Shajib et al. 2022, A&A, 667,123）。我是另一篇已提交论文的第二作者（Chan et al. 2023， MNRAS, submitted; arXiv:2304.05425）。我主要从事TDCOSMO项目，利用强引力透镜时间延迟来测量哈勃常数（H0）。我是模拟透镜类星体系统WGD 2038-4008的两个独立团队之一，目的是评估与透镜建模代码选择相关的系统不确定性。我们的结果（Shajib et al. 2022）表明，团队之间的预测时间延迟在~1西格玛范围内一致。我还使用斯巴鲁望远镜获得了光谱，测量了四个透镜类星体星系的红移，使它们在未来作为TDCOSMO样本的一部分对宇宙学有用。我是超级超级凸轮SSP强透镜工作组的联合主席。到目前为止，我们已经从调查中发现了数百个新发现的强透镜候选者。我通过最新的HSC SSP数据发布（Wong et al. 2022）领导了一个镜头搜索，发现了数十个新的星系尺度镜头候选者。我还指导了一名本科生，Yuichiro Ishida（九州大学），开发了一个卷积神经网络（CNN）来搜索HSC数据中的透镜。我们将在即将发布的一篇文章中比较不同cnn在通用测试数据集上的性能（More等人，正在准备中）。

In FY2022, I have had a refereed journal paper accepted for publication as the corresponding author (Wong et al. 2022, PASJ, 74, 1209), and I was one of the two primary authors of another accepted journal paper (Shajib et al. 2022, A&A, 667, 123). I was the second author on another submitted publication (Chan et al. 2023, MNRAS, submitted; arXiv:2304.05425).I primarily worked on the TDCOSMO project to measure the Hubble Constant (H0) using strong gravitational lensing time delays. I was one of two independent teams that modeled the lensed quasar system WGD 2038-4008, with the goal of evaluating systematic uncertainties associated with the choice of lens modeling codes. Our results (Shajib et al. 2022) show that the predicted time delays between the teams agree to within ~1-sigma. I also obtained spectroscopy using the Subaru telescope to measure redshifts of four lensed quasar galaxies to make these useful for cosmology in the future as part of the TDCOSMO sample.I am co-chair of the Hyper Suprime Cam SSP Strong Lensing Working Group. We have discovered hundreds of newly discovered strong lens candidates from the survey to date. I led a lens search through the latest HSC SSP data release (Wong et al. 2022) and discovered tens of new galaxy-scale lens candidates. I also mentored an undergraduate student, Yuichiro Ishida (Kyushu University), to develop a convolutional neural network (CNN) to search for lenses in HSC data. We will be on an upcoming publcation that compares the performance of different CNNs on a common test dataset (More et al., in preparation).