KMT-2019-BLG-0371 and the Limits of Bayesian Analysis

Kim, Yun Hak; Chung, Sun-Ju; Yee, Jennifer C; Udalski, A; Bond, Ian A; Jung, Youn Kil; Gould, Andrew; Albrow, Michael D; Han, Cheongho; Hwang, Kyu-Ha; Ryu, Yoon-Hyun; Shin, In-Gu; Shvartzvald, Yossi; Zang, Weicheng; 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; Poleski, Radek; Mróz, Przemek; Skowron, Jan; Szymański, Michal K; Soszyński, Igor; Pietrukowicz, Pawel; Kozłowski, Szymon; Ulaczyk, Krzysztof; Rybicki, Krzysztof A; Iwanek, Patryk; Wrona, Marcin; Gromadzki, Mariusz; Abe, Fumio; Barry, Richard; Bennett, David P; Bhattacharya, Aparna; Donachie, Martin; Fujii, Hirosane; Fukui, Akihiko; Itow, Yoshitaka; Hirao, Yuki; Kirikawa, Rintaro; Kondo, Iona; Koshimoto, Naoki; Matsubara, Yutaka; Muraki, Yasushi; Miyazaki, Shota; Ranc, Clément; Rattenbury, Nicholas J; Satoh, Yuki; Shoji, Hikaru; Sumi, Takahiro; Suzuki, Daisuke; Tristram, Paul J; Tanaka, Yuzuru; Yamawaki, Tsubasa; Yonehara, Atsunori

KMT-2019-BLG-0371 and the Limits of Bayesian Analysis

Kim, Yun Hak ; Chung, Sun-Ju ; Yee, Jennifer C ; Udalski, A ; Bond, Ian A ; Jung, Youn Kil ; Gould, Andrew ; Albrow, Michael D ; Han, Cheongho ; Hwang, Kyu-Ha ; Ryu, Yoon-Hyun ; Shin, In-Gu ; Shvartzvald, Yossi ; Zang, Weicheng ; 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 ; Poleski, Radek ; Mróz, Przemek ; Skowron, Jan ; Szymański, Michal K ; Soszyński, Igor ; Pietrukowicz, Pawel ; Kozłowski, Szymon ; Ulaczyk, Krzysztof ; Rybicki, Krzysztof A ; Iwanek, Patryk ; Wrona, Marcin ; Gromadzki, Mariusz ; Abe, Fumio ; Barry, Richard ; Bennett, David P ; Bhattacharya, Aparna ; Donachie, Martin ; Fujii, Hirosane ; Fukui, Akihiko ; Itow, Yoshitaka ; Hirao, Yuki ; Kirikawa, Rintaro ; Kondo, Iona ; Koshimoto, Naoki ; Matsubara, Yutaka ; Muraki, Yasushi ; Miyazaki, Shota ; Ranc, Clément ; Rattenbury, Nicholas J ; Satoh, Yuki ; Shoji, Hikaru ; Sumi, Takahiro ; Suzuki, Daisuke ; Tristram, Paul J ; Tanaka, Yuzuru ; Yamawaki, Tsubasa ; Yonehara, Atsunori

Identifier: https://hdl.handle.net/2292/63103

Issue Date: 2021-07-01

Reference: (2021). The Astronomical Journal, 162(1), 17-.

Rights: Copyright: American Astronomical Society

Rights (URI): https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
Rights (URI): https://arxiv.org/licenses/nonexclusive-distrib/1.0/license.html

Abstract:

We show that the perturbation at the peak of the light curve of microlensing event KMT-2019-BLG-0371 is explained by a model with a mass ratio between the host star and planet of q ∼ 0.08. Due to the short event duration (t E ∼ 6.5 days), the secondary object in this system could potentially be a massive giant planet. A Bayesian analysis shows that the system most likely consists of a host star with a mass Mh = -0.05+0.14Mo˙ and a massive giant planet with a mass Mp = 7.70-3.90+11.34MJup. However, the interpretation of the secondary as a planet (i.e., as having M p < 13M Jup) rests entirely on the Bayesian analysis. Motivated by this event, we conduct an investigation to determine which constraints meaningfully affect Bayesian analyses for microlensing events. We find that the masses inferred from such a Bayesian analysis are determined almost entirely by the measured value of θ E and are relatively insensitive to other factors such as the direction of the event (ℓ, b), the lens-source relative proper motion μ rel, or the specific Galactic model prior.

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