- Seminars and Workshops
- Institute of Astronomy and Astrophysics
- Location
R1203 of the Astronomy-Mathematics Building, National Taiwan University
- Speaker Name
Dani Chao (MPA)
- State
Definitive
- Url
Lensed quasars are powerful tools to study various topics in astrophysics and cosmology, such as quasar host properties, dark matter substructure, and the measurement of the Hubble constant, H_0. To make the use of lensed quasar more efficient and competitive, it is essential to enlarge the sample size of lensed quasars. I will present a lensed quasar finding algorithm based on its variability. Specifically, this variability-based lens finding algorithm detects lensed quasar with the difference images from cadenced surveys. I will show the application of this algorithm on the Hyper Suprime-Cam (HSC) transient survey and the resulting lensed quasar candidates. With the prospects of applying this variability-based algorithm on future wide-field cadenced imaging surveys, such as LSST, we expect to skillfully discover hundreds to thousands of new lensed quasars.