论文标题
系统的KMTNET行星异常搜索。 iv。完整的2019 Prime-Field样本
Systematic KMTNet Planetary Anomaly Search. IV. Complete Sample of 2019 Prime-Field
论文作者
论文摘要
我们报告了2019年韩国微透镜望远镜网络（KMTNET）微透镜调查的Prime场（$γ\ geq 2〜 {\ rm hr}^{ - 1} $）的完整统计行星样本。我们开发了优化的KMTNET隔离式算法，并将其应用于2019 KMTNET Prime Fields。我们总共找到了14个同质选择的行星，并报告了三个行星事件的分析，即KMT-2019-Blg-（1042,1552,2974）。对于三个行星事件的行星 - 宿主质量比，$ q $，分别为$ 6.34 \ times 10^{ - 4}，4.89 \ times 10^{ - 3} $和$ 6.18 \ times 10^{ - 4} $。贝叶斯分析表明，这三个行星都是宿主恒星的雪线以外的寒冷巨型行星。 13个行星基本上是$ \ log Q $在$ -5.0 <\ log Q <-1.5 $上的均匀均匀的。该结果表明，MOA-II调查提出的$ q _ {\ rm break} = 1.7 \ times 10^{ - 4} $的行星可能比以前认为的更常见。这项工作是确定KMTNET质量比率函数的大型项目的早期组成部分，2016---2019 kmtnet事件的整个样本应包含大约120个行星。
We report the complete statistical planetary sample from the prime fields ($Γ\geq 2~{\rm 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 $q_{\rm break} = 1.7 \times 10^{-4}$ 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.
