صورة الغلاف

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: 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, Han, Cheongho, Jung, Youn Kil, Ryu, Yoon-Hyun, Shin, In-Gu, Shvartzvald, Yossi, 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., 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, Li, Man Cheung Alex, Matsubara, Yutaka, Muraki, Yasushi, Miyazaki, Shota, Olmschenk, Greg, Ranc, Clément, Rattenbury, Nicholas J., Satoh, Yuki, Shoji, Hikaru, Silva, Stela Ishitani, Sumi, Takahiro, Suzuki, Daisuke, Tanaka, Yuzuru, Tristram, Paul J., Yamawaki, Tsubasa, Yonehara, Atsunori
التنسيق: Preprint
منشور في: 2023
الموضوعات:
Earth and Planetary Astrophysics
Astrophysics of Galaxies
Instrumentation and Methods for Astrophysics
Solar and Stellar Astrophysics
الوصول للمادة أونلاين:https://arxiv.org/abs/2311.04876
الوسوم: إضافة وسم
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جدول المحتويات:
  • In this work, we update and develop algorithms for KMTNet tender-love care (TLC) photometry in order to create an 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.

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