KMT-2016-BLG-1836Lb: A Super-Jovian Planet From A High-Cadence Microlensing Field
Hongjing Yang, Xiangyu Zhang, Kyu-Ha Hwang, Weicheng Zang, Andrew, Gould, Tianshu Wang, Shude Mao, Michael D. Albrow, Sun-Ju Chung, Cheongho, Han, Youn Kil Jung, Yoon-Hyun Ryu, In-Gu Shin, Yossi Shvartzvald, Jennifer C., Yee, Wei Zhu, Matthew T. Penny, Pascal Fouqu\'e

TL;DR
This paper reports the discovery of a super-Jovian exoplanet via high-cadence microlensing observations, providing insights into planetary system characteristics and potential population features like a mass ratio desert.
Contribution
The study presents the detection and characterization of a super-Jovian planet through microlensing, with detailed Bayesian analysis and implications for planetary demographics.
Findings
Discovery of a super-Jovian planet with mass ~2.2 M_J
Planet located beyond the snowline at ~3.5 AU
Identification of a potential mass ratio desert among KMTNet planets
Abstract
We report the discovery of a super-Jovian planet in the microlensing event KMT-2016-BLG-1836, which was found by the Korea Microlensing Telescope Network's high-cadence observations (\Gamma ~ 4~{hr}^{-1}). The planet-host mass ratio q ~ 0.004. A Bayesian analysis indicates that the planetary system is composed of a super-Jovian M_{planet} = 2.2_{-1.1}^{+1.9} M_{J} planet orbiting an M or K dwarf M_{\rm host} = 0.49_{-0.25}^{+0.38} M_{Sun}, at a distance of D_{L} = 7.1_{-2.4}^{+0.8} kpc. The projected planet-host separation is 3.5^{+1.1}_{-0.9} AU, implying that the planet is located beyond the snowline of the host star. Future high-resolution images can potentially strongly constrain the lens brightness and thus the mass and distance of the planetary system. Without considering detailed detection efficiency, selection or publication biases, we find a potential "mass ratio desert" at…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
