RoboTAP -机器人微透镜观测的目标优先级
RoboTAP - target priorities for robotic microlensing observations
摘要：
上下文在天文学中，从许多具有科学重要性的瞬变事件的警报流中自动选择瞬变事件并进行后续观测的能力将变得越来越重要。随着广角时域调查推到更微弱的限制幅度，后续的能力，瞬态警报远远超过我们的后续望远镜资源，有效的目标优先级变得至关重要。RoboNet-II微透镜计划是一个开拓者项目，它开发了一个自动目标选择过程（RoboTAP），用于使用Las Cumbres天文台望远镜网络实时观测的引力微透镜事件。目的。后续望远镜通常具有比巡天小得多的视场，因此必须在任何给定时间从超过2000个事件的年度样本中自动选择最有希望的微透镜事件。主要的挑战是在具有高行星探测灵敏度的事件之间进行选择，旨在探测许多行星并描述行星异常。方法.我们的目标选择算法是一个混合系统的基础上估计的行星探测区域周围的微透镜。它遵循自动异常警报，并尊重特定事件的预期调查范围。结果我们介绍RoboTAP算法，其目的是选择和优先考虑微透镜事件与行星同伴的高灵敏度。在这项工作中，我们确定了RoboNet后续计划的行星敏感性，并提供了一个工作实例，说明如何为现实生活中的瞬态科学计划设计经纪人，以响应警报进行后续观测，探索将面临的问题，为大型综合巡天望远镜（LSST）和其他时域调查开发类似的计划。
英文摘要：
Context. The ability to automatically select scientifically-important transient events from an alert stream of many such events, and to conduct follow-up observations in response, will become increasingly important in astronomy. With wide-angle time domain surveys pushing to fainter limiting magnitudes, the capability to follow-up on transient alerts far exceeds our follow-up telescope resources, and effective target prioritization becomes essential. The RoboNet-II microlensing program is a pathfinder project which has developed an automated target selection process (RoboTAP) for gravitational microlensing events which are observed in real-time using the Las Cumbres Observatory telescope network. Aims. Follow-up telescopes typically have a much smaller field-of-view compared to surveys, therefore the most promising microlens- ing events must be automatically selected at any given time from an annual sample exceeding 2000 events. The main challenge is to select between events with a high planet detection sensitivity, aiming at the detection of many planets and characterizing planetary anomalies. Methods. Our target selection algorithm is a hybrid system based on estimates of the planet detection zones around a microlens. It follows automatic anomaly alerts and respects the expected survey coverage of specific events. Results. We introduce the RoboTAP algorithm, whose purpose is to select and prioritize microlensing events with high sensitivity to planetary companions. In this work, we determine the planet sensitivity of the RoboNet follow-up program and provide a working example of how a broker can be designed for a real-life transient science program conducting follow-up observations in response to alerts, exploring the issues that will confront similar programs being developed for the Large Synoptic Survey Telescope (LSST) and other time domain surveys.
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