Systematic KMTNet Planetary Anomaly Search. XII. Complete Sample of 2017 Subprime Field Planets

• Published in: The Astronomical journal 2024-08, Vol.168 (2), p.49
• Main Authors: Gui, Yuqian, Zang, Weicheng, Zhai, Ruocheng, Ryu, Yoon-Hyun, Udalski, Andrzej, Yang, Hongjing, Han, Cheongho, Mao, Shude, Albrow, Michael D., Chung, Sun-Ju, Gould, Andrew, Hwang, Kyu-Ha, Jung, Youn Kil, Shin, In-Gu, Shvartzvald, Yossi, Yee, Jennifer C., Cha, Sang-Mok, Kim, Dong-Jin, Kim, Hyoun-Woo, Kim, Seung-Lee, Lee, Chung-Uk, Lee, Dong-Joo, Lee, Yongseok, Park, Byeong-Gon, Pogge, Richard W., Mróz, Przemek, Szymański, Michał K., Skowron, Jan, Poleski, Radosław, Soszyński, Igor, Pietrukowicz, Paweł, Kozłowski, Szymon, Ulaczyk, Krzysztof, Rybicki, Krzysztof A., Iwanek, Patryk, Wrona, Marcin, Gromadzki, Mariusz, Wang, Hanyue, Zhang, Jiyuan, Kuang, Renkun, Qian, Qiyue, Zhu, Wei
• Format: Article
• Language: English
• Subjects: Bayesian analysis; Gravitational microlensing; Gravitational microlensing exoplanet detection; Mass ratios; Microlenses; Planets
• ISSN: 0004-6256; 1538-3881
• DOI: 10.3847/1538-3881/ad4ce5

We report the analysis of four unambiguous planets and one possible planet from the subprime fields (Γ ≤ 1 hr −1 ) of the 2017 Korea Microlensing Telescope Network (KMTNet) microlensing survey, to complete the KMTNet AnomalyFinder planetary sample for the 2017 subprime fields. They are KMT-2017-BLG-0849, KMT-2017-BLG-1057, OGLE-2017-BLG-0364, and KMT-2017-BLG-2331 (unambiguous), as well as KMT-2017-BLG-0958 (possible). For the four unambiguous planets, the mean planet–host mass ratios, q , are (1.0, 1.2, 4.6, 13) × 10 −4 , the median planetary masses are (6.4, 24, 76, 171) M ⊕ , and the median host masses are (0.19, 0.57, 0.49, 0.40) M ⊙ , respectively, found from a Bayesian analysis. We have completed the Anomaly Finder planetary sample from the first 4 yr of KMTNet data (2016–2019), with 112 unambiguous planets in total, which nearly tripled the microlensing planetary sample. The “sub-Saturn desert” ( log q = − 3.6 , − 3.0 ) found in the 2018 and 2019 KMTNet samples is confirmed by the 2016 and 2017 KMTNet samples.