27 citations · 54 across the 8 of their papers we have counts for
8 papers
KMT-2021-BLG-1547Lb: Giant microlensing planet detected through a signal deformed by source binarity
Cheongho Han, Weicheng Zang, Youn Kil Jung +52
We investigate the previous microlensing data collected by the KMTNet survey in search of anomalous events for which no precise interpretations of the anomalies have been suggested…
OGLE-2019-BLG-0825: Constraints on the Source System and Effect on Binary-lens Parameters arising from a Five Day Xallarap Effect in a Candidate Planetary Microlensing Event
Yuki K. Satoh, Naoki Koshimoto, David P. Bennett +86
We present an analysis of microlensing event OGLE-2019-BLG-0825. This event was identified as a planetary candidate by preliminary modeling. We find that significant residuals from…
Optical Alignment Method for the PRIME Telescope
Hibiki Yama, Daisuke Suzuki, Shota Miyazaki +7
We describe the optical alignment method for the Prime-focus Infrared Microlensing Experiment (PRIME) telescope which is a prime-focus near-infrared (NIR) telescope with a wide fie…
Prediction of Planet Yields by the PRime-focus Infrared Microlensing Experiment Microlensing Survey
Iona Kondo, Takahiro Sumi, Naoki Koshimoto +3
The PRime-focus Infrared Microlensing Experiment (PRIME) will be the first to conduct a dedicated near infrared (NIR) microlensing survey by using a 1.8m telescope with a wide fiel…
MOA-2022-BLG-249Lb: Nearby microlensing super-Earth planet detected from high-cadence surveys
Cheongho Han, Andrew Gould, Youn Kil Jung +51
We investigate the data collected by the high-cadence microlensing surveys during the 2022 season in search for planetary signals appearing in the light curves of microlensing even…
Systematic KMTNet Planetary Anomaly Search. IX. Complete Sample of 2016 Prime-Field Planets
In-Gu Shin, Jennifer C. Yee, Weicheng Zang +58
As a part of the ``Systematic KMTNet Planetary Anomaly Search" series, we report five new planets (namely, OGLE-2016-BLG-1635Lb, MOA-2016-BLG-532Lb, KMT-2016-BLG-0625Lb, OGLE-2016-…