Yen-Ting Lin

Research Fellow
Institute of Astronomy and Astrophysics
Academia Sinica

ytl@asiaa.sinica.edu.tw

Dept. and Web

galaxy formation & evolution; galaxy clusters; brightest cluster galaxies; radio galaxies

Website:
https://sites.google.com/view/ytl-site

Project Description

1. Machine learning-assisted search for observational signatures of halo assembly bias
2. Search for distant galaxy clusters using data from Subaru Prime Focus Spectrograph Survey or Rubin’s Legacy Survey of Space and Time

Requirement

1. Undergraduate or graduate students with experiences in machine learning
2. Undergraduate or graduate students with sufficient background in
   c/c++/python