Program
The time is shown in JST (-1 hour in Taiwan) (That is, the program starts at 9:00 in Taiwan.)
| Monday February 7, 2022 | |
|---|---|
| 10:00~10:05 | OPENING REMARK |
| 10:05~10:20 | Unveiling Dusty Galaxies in the Epoch of Reionization with REBELS Hiddo Algera (Hiroshima University) |
| 10:20~10:35 | REBELS survey: [CII] 158um emission line observations and average [CII] size of star-forming galaxies at z~7 Yoshinobu Fudamoto (Waseda University, NAOJ) |
| 10:35~10:50 | A clear picture of dust-obscured star-formation in the Early Universe Tom Bakx (Nagoya University) |
| 10:50~11:05 | Search for Ha emitters at z~7.8: A Constraint on the Ha-based Star Formation Rate Density Yoshihisa Asada (Kyoto University) |
| 11:05~11:20 | Break |
| 11:20~11:35 | Evolution of dust grain porosity in galaxies and its influence on extinction curves Hiroyuki Hirashita (ASIAA) |
| 11:35~11:50 | A study of the [O Ⅲ]88μm, [C Ⅱ]158μm and dust continuum emission in a z =7.2 galaxy Yi Ren (Waseda University) |
| 11:50~12:05 | Bridging optical and far-infrared emission-line diagrams of galaxies from local to z > 6 Yuma Sugahara (NAOJ / Waseda University) |
| 12:05~12:20 | Temporally resolving early galaxies: pinning down the internal workings of galaxies with star-formation variability Sandro Tacchella (UNIST) |
| 12:20~14:00 | Lunch Break |
| 14:00~14:35 | Invited Deep Learning Applications in (Galaxy) Astrophysics (in Korea) Sungwook E. Hong (Korea Astronomy and Space Science Institute) |
| 14:35~14:50 | Unravelling the merger histories of galaxies with deep learning Connor Bottrell (Kavli IPMU) |
| 14:50~15:25 | Invited Usage of Machine Learning and Variational Inference in the Big Data Era Min-Su Shin (Korea Astronomy and Space Science Institute) |
| 15:25~15:35 | Break |
| 15:35~15:50 | A Convolutional Variational Autoencoder for Measuring Galactic Environment: The Star Formation–Density Relation Jun-Sung Moon (Yonsei University) |
| 15:50~16:05 | A method to find high-z protoclusters from photometric catalog of dropout galaxies by Deep Learning Yoshihiro Takeda (The University of Tokyo) |
| 16:05~16:25 | Poster & Break |
| 16:25~16:40 | Machine-assisted Exploration of Simulation Parameters Boon Kiat Oh (Seoul National University) |
| 16:40~17:15 | Invited On mass assembly history of galaxy clusters and their central galaxies Yen-Ting Lin (ASIAA) |
| 17:15 | CLOSE OF DAY-1 |
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