4 citations · 8 across the 4 of their papers we have counts for
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Four microlensing giant planets detected through signals produced by minor-image perturbations
Cheongho Han, Ian A. Bond, Chung-Uk Lee +63
We investigated the nature of the anomalies appearing in four microlensing events KMT-2020-BLG-0757, KMT-2022-BLG-0732, KMT-2022-BLG-1787, and KMT-2022-BLG-1852. The light curves o…
Systematic KMTNet Planetary Anomaly Search. XI. Complete Sample of 2016 Sub-Prime Field Planets
In-Gu Shin, Jennifer C. Yee, Weicheng Zang +63
Following Shin et al. (2023b), which is a part of the Systematic KMTNet Planetary Anomaly Search series (i.e., a search for planets in the 2016 KMTNet prime fields), we conduct a s…
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…
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-…
Terrestrial and Neptune mass free-floating planet candidates from the MOA-II 9-year Galactic Bulge survey
Naoki Koshimoto, Takahiro Sumi, David P. Bennett +28
We report the discoveries of low-mass free-floating planet (FFP) candidates from the analysis of 2006-2014 MOA-II Galactic bulge survey data. In this dataset, we found 6,111 microl…