A Real-time Automatic Validation System for Optical Transients Detected by GWAC

A Real-time Automatic Validation System for Optical Transients Detected by GWAC
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GWAC 检测光瞬变的实时自动验证系统

DOI:
10.1088/1538-3873/ab7a73
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发表时间:
2020-02
影响因子:
3.5
通讯作者:
Wei J. Y.
Wei J. Y.
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Xu Y.;Xin L. P.;Wang J.;Han X. H.;Qin Y. L.;Huang M. H.;Wei J. Y.

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地面广角摄像机阵列每晚产生数百万个单帧警报。经过多种方法复杂细致的筛选后,仍有几十个候选者需要通过后续实时观察来确认。为了将科学家从复杂、高强度的后续任务中解放出来,我们开发了实时自动瞬态验证系统(RAVS),并在此介绍其系统架构、数据处理流程、数据库架构、自动后续控制流程和移动消息通知解决方案。该系统能够在无需人工干预的情况下自动实时执行所有操作,包括瞬态候选者的验证、对多波段识别目标的自适应光曲线采样以及将观测结果推送到移动客户端。 RAVS的运行表明,RAVS可以很好地对M型恒星耀斑事件进行采样,而不会造成明显的细节损失,而观测时间仅为时间覆盖范围的不到三分之一。由于RAVS的控制逻辑被设计为独立于望远镜硬件,因此RAVS可以方便地移植到其他望远镜,特别是SVOM的后续系统。在考虑光源的亮度和相应光曲线的演变趋势之后,对自适应光曲线采样提出了一些未来的改进。
The ground-based wide-angle camera array 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.
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影响因子: 3.5
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影响因子: 64.8
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