We report the complete statistical planetary sample from the prime fields (Γ≥2hr−1) of the 2019 Korea Microlensing Telescope Network (KMTNet) microlensing survey. We develop the optimized KMTNet AnomalyFinder algorithm and apply it to the 2019 KMTNet prime fields. We find a total of 14 homogeneously selected planets and report the analysis of three planetary events, KMT-2019-BLG-(1042,1552,2974). The planet-host mass ratios, q, for the three planetary events are 6.34×10−4,4.89×10−3 and 6.18×10−4, respectively. A Bayesian analysis indicates the three planets are all cold giant planets beyond the snow line of their host stars. The 13 planets are basically uniform in logq over the range −5.0<logq<−1.5. This result suggests that the planets below qbreak=1.7×10−4 proposed by the MOA-II survey may be more common than previously believed. This work is an early component of a large project to determine the KMTNet mass-ratio function, and the whole sample of 2016--2019 KMTNet events should contain about 120 planets.
@article{arxiv.2204.02017,
title = {Systematic KMTNet Planetary Anomaly Search. IV. Complete Sample of 2019 Prime-Field},
author = {Weicheng Zang and Hongjing Yang and Cheongho Han and Chung-Uk Lee and Andrzej Udalski and Andrew Gould and Shude Mao and Xiangyu Zhang and Wei Zhu and Michael D. Albrow and Sun-Ju Chung and Kyu-Ha Hwang and Youn Kil Jung and Yoon-Hyun Ryu and In-Gu Shin and Yossi Shvartzvald and Jennifer C. Yee and Sang-Mok Cha and Dong-Jin Kim and Hyoun-Woo Kim and Seung-Lee Kim and Dong-Joo Lee and Yongseok Lee and Byeong-Gon Park and Przemek Mróz and Jan Skowron and Radoslaw Poleski and Michał K. Szymański and Igor Soszyński and Paweł Pietrukowicz and Szymon Kozłowski and Krzysztof Ulaczyk and Krzysztof A. Rybicki and Patryk Iwanek and Marcin Wrona and Mariusz Gromadzki},
journal= {arXiv preprint arXiv:2204.02017},
year = {2022}
}