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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 thecurrent pandemic, the telescope has been currently deployed at the YaoanObservation Station in China, starting the commissioning observation and atransient survey. This paper presents a fully automatic data processing systemfor AST3-3 observations. The transient detection pipeline uses state-of-the-artimage subtraction techniques optimised for GPU devices. Image reduction andtransient photometry are accelerated by concurrent task methods. OurPython-based system allows for transient detection from wide-field data in areal-time and accurate way. A ResNet-based rotational-invariant neural networkwas employed to classify the transient candidates. As a result, the systemenables auto-generation of transients and their light curves.

Pipeline for Antarctic Survey Telescope 3-3 in Yaoan, Yunnan