论文标题
GWAC检测到的光学瞬变的实时自动验证系统
A Real-time Automatic Validation System for Optical Transients detected by GWAC
论文作者
论文摘要
地面广角相机阵列(GWAC)每晚产生数百万个单帧警报。通过多种方法进行复杂且精心设计的过滤器后,仍需要通过实时的随访观察来确认几十个候选人。为了使科学家摆脱复杂和高强度的随访任务,我们开发了一个实时自动瞬态验证系统(RAVS),并在此处介绍其系统架构,数据处理流,数据库架构,自动后续控制控制流以及移动消息通知解决方案。该系统能够无需人工干预即可自动实时执行所有操作,包括对瞬态候选者的验证,自适应光曲线采样,以确定多波段中确定的目标以及向移动客户端推动观察结果。 RAVS的运行表明,M型恒星耀斑事件可以通过RAV进行很好的采样,而不会显着丢失细节,而观察时间仅少于时间覆盖率的三分之一。由于RAV的控制逻辑被设计为独立于望远镜硬件,因此可以方便地将RAVS移植到其他望远镜上,尤其是SVOM的后续系统。在考虑到源的亮度和相应的光曲线的演化趋势之后,为自适应的光曲线采样提供了一些未来的改进。
The ground-based wide-angle camera array (GWAC) generates millions of single frame alerts per night. After the complicated and elaborate filters by multiple methods, a couple of dozens of candidates are still needed to be confirmed by follow-up observations in real-time. In order to free scientists from the complex and high-intensity follow-up tasks, we developed a Real-time Automatic transient Validation System (RAVS), and introduce here its system architecture, data processing flow, database schema, automatic follow-up control flow, and mobile message notification solution. This system is capable of automatically carrying out all operations in real-time without human intervention, including the validation of transient candidates, the adaptive light-curve sampling for identified targets in multi-band, and the pushing of observation results to the mobile client. The running of RAVS shows that an M-type stellar flare event can be well sampled by RAVS without a significant loss of the details, while the observing time is only less than one-third of the time coverage. Because the control logic of RAVS is designed to be independent of the telescope hardware, RAVS can be conveniently transplanted to other telescopes, especially the follow-up system of SVOM. Some future improvements are presented for the adaptive light-curve sampling, after taking into account both the brightness of sources and the evolution trends of the corresponding light-curves.