Systematic KMTNet Planetary Anomaly Search, Paper VII: Complete Sample of $q < 10^{-4}$ Planets from the First Four-Year Survey
Weicheng Zang, Youn Kil Jung, Hongjing Yang, Xiangyu Zhang, Andrzej, Udalski, Jennifer C. Yee, Andrew Gould, Shude Mao, Michael D. Albrow, Sun-Ju, Chung, Cheongho Han, Kyu-Ha Hwang, Yoon-Hyun Ryu, In-Gu Shin, Yossi, Shvartzvald, Sang-Mok Cha, Dong-Jin Kim, Hyoun-Woo Kim

TL;DR
This paper reports the discovery and analysis of 27 low-mass-ratio exoplanets from KMTNet data, providing insights into their characteristics and addressing previous detection biases, thereby enabling future statistical studies.
Contribution
The paper introduces a comprehensive sample of 27 planets with $q<10^{-4}$ from KMTNet, demonstrating the effectiveness of the AnomalyFinder algorithm and addressing detection biases in planetary microlensing.
Findings
27 planets with $q<10^{-4}$ identified from 2016-2019 data.
The missing planetary caustics problem has been resolved.
A high-magnification planetary signals desert was found.
Abstract
We present the analysis of seven microlensing planetary events with planet/host mass ratios : KMT-2017-BLG-1194, KMT-2017-BLG-0428, KMT-2019-BLG-1806, KMT-2017-BLG-1003, KMT-2019-BLG-1367, OGLE-2017-BLG-1806, and KMT-2016-BLG-1105. They were identified by applying the Korea Microlensing Telescope Network (KMTNet) AnomalyFinder algorithm to 2016--2019 KMTNet events. A Bayesian analysis indicates that all the lens systems consist of a cold super-Earth orbiting an M or K dwarf. Together with 17 previously published and three that will be published elsewhere, AnomalyFinder has found a total of 27 planets that have solutions with from 2016--2019 KMTNet events, which lays the foundation for the first statistical analysis of the planetary mass-ratio function based on KMTNet data. By reviewing the 27 planets, we find that the missing planetary caustics problem in the…
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Taxonomy
TopicsAstro and Planetary Science · Space Exploration and Technology · Planetary Science and Exploration
