论文标题
GWAC数据处理和管理系统
The GWAC Data Processing and Management System
论文作者
论文摘要
GWAC将建立一个5,000美元的集成FOV^2 $，并且已经建造了1,800 $ $度^2 $。在无月之夜，10秒暴露图像的极限大小为16r。在每个观察之夜，GWAC都会产生约0.7TB的原始数据，并且数据处理管道会产生数百万个单帧警报。我们描述了GWAC数据处理和管理系统（GPMS），包括硬件体系结构，数据库，瞬态候选者的检测 - 滤波验证，数据归档和用户界面，以检查瞬态和系统的监视器。 GPM在天文学和计算机领域结合了通用技术和软件，并使用一些高级技术，例如深度学习。实际结果表明，GPM可以完全满足GWAC的科学数据处理需求。它可以在线完成数百万临时候选者的检测，过滤和验证，并实时向天文学家反馈结果。在2018年10月至2019年12月的观察期间，我们已经找到了102个瞬变。
GWAC will have been built an integrated FOV of 5,000 $degree^2$ and have already built 1,800 square $degree^2$. The limit magnitude of a 10-second exposure image in the moonless night is 16R. In each observation night, GWAC produces about 0.7TB of raw data, and the data processing pipeline generates millions of single frame alerts. We describe the GWAC Data Processing and Management System (GPMS), including hardware architecture, database, detection-filtering-validation of transient candidates, data archiving, and user interfaces for the check of transient and the monitor of the system. GPMS combines general technology and software in astronomy and computer field, and use some advanced technologies such as deep learning. Practical results show that GPMS can fully meet the scientific data processing requirement of GWAC. It can online accomplish the detection, filtering and validation of millions of transient candidates, and feedback the final results to the astronomer in real-time. During the observation from October of 2018 to December of 2019, we have already found 102 transients.
