韩国微透镜望远镜网络（KMTNet）警报算法和警报系统
The Korea Microlensing Telescope Network (KMTNet) Alert Algorithm and Alert System
摘要：
我们描述了一个新的微透镜事件警报算法，是专为韩国微透镜望远镜网络（KMTNet）多天文台系统。该算法集中于检测“上升”事件，即，亮度随时间而增加的事件。该算法分三步进行。它首先识别具有至少$N_{\rm high}$点的光变曲线，这些点至少在中值之上$3σ$，并且是在上一次搜索新事件之前不久获得的。然后，它要求在考虑一个、两个或三个天文台的光变曲线的任何组合时，至少有$N_{\rm high}$ $\textit{consecutive}$高点。最后，它符合由虚线组成的“上升微透镜模型”，即，$t_{\rm rise}$前一段时间基本平稳，后一段时间线性上升。如果该拟合比$Δχ^2>Δχ^2_{\rm thresh}$的平线更好，则将光变曲线发送给人工检查。在此，根据场地节奏，可使用$(N_{\rm high},Δχ^2_{\rm thresh})=(5,250)$或$(10,400)$。2018年，KMTNet警报最初将仅限于少数北部隆起区域，并可能逐渐扩展到整个北部隆起区域。预计2019年将进一步扩大覆盖范围。
英文摘要：
We describe a new microlensing-event alert algorithm that is tailored to the Korea Microlensing Telescope Network (KMTNet) multi-observatory system. The algorithm focuses on detecting "rising" events, i.e., events whose brightness is increasing as a function of time. The algorithm proceeds in three steps. It first identifies light curves with at least $N_{\rm high}$ points that are at least $3σ$ above the median and that had been taken since shortly before the previous search for new events. It then demands that there are at least $N_{\rm high}$ $\textit{consecutive}$ high points when considering any combination of light curves from one, two, or three observatories. Finally, it fits to a "rising microlensing model" consisting of a broken line, i.e., flat before some time $t_{\rm rise}$ and rising linearly afterward. If this fit is better than a flat line by $Δχ^2>Δχ^2_{\rm thresh}$, the light curve is sent for human review. Here, $(N_{\rm high},Δχ^2_{\rm thresh})=(5,250)$ or $(10,400)$, depending on the field cadence. For 2018, KMTNet alerts will initially be restricted to a few northern bulge fields and may gradually extend to the full northern bulge. Further expansion of coverage is expected in 2019.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
