Systematic KMTNet Planetary Anomaly Search. IV. Complete Sample of 2019 Prime-Field

Abstract

We report the complete statistical planetary sample from the prime fields ($\hat{I}“\ge 2{\mathrm{hr}}^{-1}$) 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 $6.34\times 10^{-4},4.89\times 10^{-3}$ and $6.18\times 10^{-4}$, 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 $\log q$ over the range $-5.0<\log q<-1.5$. This result suggests that the planets below $q_{\mathrm{break}}=1.7\times 10^{-4}$ 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.

Accepted by MNRAS