论文标题
Yunnan Yaoan的南极调查望远镜3-3的管道
Pipeline for Antarctic Survey Telescope 3-3 in Yaoan, Yunnan
论文作者
论文摘要
AST3-3是南极调查望远镜（AST3）的第三个机器人设施，用于部署在南极洲圆顶A的瞬态调查。由于目前的大流行，望远镜目前已在中国的Yaoan观察站部署，开始了调试观察和短暂的调查。本文介绍了用于AST3-3观测值的全自动数据处理系统。瞬态检测管道使用针对GPU设备优化的最先进的图像减法技术。图像还原和瞬态光度法通过并发任务方法加速。我们的基于Python的系统允许以实时和准确的方式从宽场数据进行瞬时检测。采用基于重新连接的旋转不变的神经网络来对瞬态候选者进行分类。结果，该系统可以自动生成瞬态及其光曲线。
AST3-3 is the third robotic facility of the Antarctic Survey Telescopes (AST3) for transient surveys to be deployed at Dome A, Antarctica. Due to the current pandemic, the telescope has been currently deployed at the Yaoan Observation Station in China, starting the commissioning observation and a transient survey. This paper presents a fully automatic data processing system for AST3-3 observations. The transient detection pipeline uses state-of-the-art image subtraction techniques optimised for GPU devices. Image reduction and transient photometry are accelerated by concurrent task methods. Our Python-based system allows for transient detection from wide-field data in a real-time and accurate way. A ResNet-based rotational-invariant neural network was employed to classify the transient candidates. As a result, the system enables auto-generation of transients and their light curves.
