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Four Microlensing Planets with Faint-source Stars Identified in the 2016 and 2017 Season Data

Authors :
Woong-Tae Kim
Krzysztof A. Rybicki
Krzysztof Ulaczyk
Patryk Iwanek
Dong-Jin Kim
Jennifer C. Yee
Youn Kil Jung
Jan Skowron
Richard W. Pogge
Sang-Mok Cha
Cheongho Han
Yossi Shvartzvald
Yongseok Lee
Szymon Kozłowski
Paweł Pietrukowicz
Byeong-Gon Park
Yoon-Hyun Ryu
Chun-Hwey Kim
Radek Poleski
Andrew Gould
Hyoun-Woo Kim
Dong-Joo Lee
Seung-Lee Kim
Przemek Mróz
Weicheng Zang
Doeon Kim
Michael D. Albrow
Sun-Ju Chung
Chung-Uk Lee
Andrzej Udalski
Michał K. Szymański
Kyu-Ha Hwang
Marcin Wrona
Igor Soszyński
In-Gu Shin
Publication Year :
2020

Abstract

Microlensing planets occurring on faint source stars can escape detection due to their weak signals. Occasionally, detections of such planets are not reported due to the difficulty of extracting high-profile scientific issues on the detected planets. For the solid demographic census of microlensing planetary systems based on a complete sample, we investigate the microlensing data obtained in the 2016 and 2017 seasons to search for planetary signals in faint-source lensing events. From this investigation, we find four unpublished microlensing planets including KMT-2016-BLG-2364Lb, KMT-2016-BLG-2397Lb, OGLE-2017-BLG-0604Lb, and OGLE-2017-BLG-1375Lb. We analyze the observed lensing light curves and determine their lensing parameters. From Bayesian analyses conducted with the constraints from the measured parameters, it is found that the masses of the hosts and planets are in the ranges $0.50\lesssim M_{\rm host}/M_\odot\lesssim 0.85$ and $0.5 \lesssim M_{\rm p}/M_{\rm J}\lesssim 13.2$, respectively, indicating that all planets are giant planets around host stars with subsolar masses. The lenses are located in the distance range of $3.8 \lesssim \dl/{\rm kpc}\lesssim 6.4$. It is found that the lenses of OGLE-2017-BLG-0604 and OGLE-2017-BLG-1375 are likely to be in the Galactic disk.<br />11 pages, 8 tables, 12 figures

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....0f56957fce4bfe1884d63107b0cdefcd