Systematic reanalysis of KMTNet microlensing events, paper I: Updates of the photometry pipeline and a new planet candidate

Yang, Hongjing; Yee, Jennifer C.; Hwang, Kyu-Ha; Qian, Qiyue; Bond, Ian A.; Gould, Andrew; Hu, Zhecheng; Zhang, Jiyuan; Mao, Shude; Zhu, Wei; Albrow, Michael D.; Chung, Sun-Ju; Kim, Seung-Lee; Park, Byeong-Gon; Han, Cheongho; Jung, Youn Kil; Ryu, Yoon-Hyun; Shin, In-Gu; Shvartzvald, Yossi; Cha, Sang-Mok; Kim, Dong-Jin; Kim, Hyoun-Woo; Lee, Chung-Uk; Lee, Dong-Joo; Lee, Yongseok; Pogge, Richard W.; Zang, Weicheng; Abe, Fumio; Barry, Richard; Bennett, David P.; Bhattacharya, Aparna; Donachie, Martin; Fujii, Hirosane; Fukui, Akihiko; Hirao, Yuki; Itow, Yoshitaka; Kirikawa, Rintaro; Kondo, Iona; Koshimoto, Naoki; Silva, Stela Ishitani; Li, Man Cheung Alex; Matsubara, Yutaka; Muraki, Yasushi; Suzuki, Daisuke; Tristram, Paul J.; Yonehara, Atsunori; Ranc, Clément; Miyazaki, Shota; Olmschenk, Greg; Rattenbury, Nicholas J.; Satoh, Yuki; Shoji, Hikaru; Sumi, Takahiro; Tanaka, Yuzuru; Yamawaki, Tsubasa
Referencia bibliográfica

Monthly Notices of the Royal Astronomical Society

Fecha de publicación:
2
2024
Número de autores
55
Número de autores del IAC
1
Número de citas
13
Número de citas referidas
10
Descripción
In this work, we update and develop algorithms for KMTNet tender-love care (TLC) photometry in order to create a new, mostly automated, TLC pipeline. We then start a project to systematically apply the new TLC pipeline to the historic KMTNet microlensing events, and search for buried planetary signals. We report the discovery of such a planet candidate in the microlensing event MOA-2019-BLG-421/KMT-2019-BLG-2991. The anomalous signal can be explained by either a planet around the lens star or the orbital motion of the source star. For the planetary interpretation, despite many degenerate solutions, the planet is most likely to be a Jovian planet orbiting an M or K dwarf, which is a typical microlensing planet. The discovery proves that the project can indeed increase the sensitivity of historic events and find previously undiscovered signals.