演講資訊

摘要：

I have been working on a JCMT Large Program called STUDIES (SCUBA-2 Ultra Deep Imaging EAO Survey) in the past few years. This program aims at providing the deepest far-IR selection of high-redshift dusty star-forming galaxies, an order of magnitude deeper than deepest Herschel surveys at 250 to 500 um. We have some exciting early results from this ambitious and challenging project. In this talk, I will focus on two of the new results. One employed standard statistical approach to look for connections between passive galaxies and dusty starbursts. We found that these two dramatically different galaxy populations are spatially correlated. The correlation can be caused by strong lensing, galaxy interaction, or small-scale clustering. Another of our recent works employed machine learning to select dusty galaxy candidates from wide-field optical/near-IR surveys. This allows us to expand the sample size by more than an order of magnitude. The large sample enables clustering analyses, which lead to the estimates of dark matter halo masses. At the end of the talk, I will tell you what I would have done if I were a graduate student in today’s universe, rather than the good and old universe 20 years ago.