LCGCT: 基于时间序列数据库的可定制时间-bin 光曲线生成器

IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Astronomy and Computing Pub Date : 2024-07-01 DOI:10.1016/j.ascom.2024.100845
Z. Zhang , Y. Xu , C. Cui , D. Fan
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引用次数: 0

摘要

在时域天文学时代,科学家经常需要生成不同时间段的光曲线。然而,时间分辨率的提高通常会导致数据传输量的大幅增加。为了提高时域天文学的数据处理效率,我们提出了一种新颖的时间序列数据模型来存储时间序列观测数据,并构建了 LCGCT 这一工具来生成具有可定制时间分段的光变曲线。为了验证我们的方法,我们利用了为期 7 年的 MAXI/GSC(全天空 X 射线图像监视器的气体狭缝照相机)X 射线源目录,将其 24 小时分档光曲线与我们的方法进行了比较分析。结果证实了我们提出的方法的准确性和有效性。随后,我们将 LCGCT 的存储容量和查询性能与基于 PostgreSQL 的实现进行了比较,结果表明 LCGCT 节省了 75% 的存储空间,查询速度提高了三倍。由于其显著的存储和查询性能,我们提出的基于时间序列数据模型的 LCGCT 可用于高时间分辨率的时域天文项目。
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LCGCT: A light curve generator in customisable-time-bin based on time-series database

In the era of time-domain astronomy, scientists often need to generate light curves with varying time-bin. However, an increase in time resolution typically leads to a substantial increase in data transmission. To enhance the data processing efficiency in time-domain astronomy, we propose a novel time-series data model for storing time-series observation data, and we construct the LCGCT, a tool designed to produce light curves with customisable time bins. To validate our approach, we utilise the 7-year MAXI/GSC (Gas Slit Camera of the Monitor of All-sky X-ray Image) X-ray source catalogue, incorporating its 24-h binned light curves for a comparative analysis with our approach. The results obtained confirm the accuracy and effectiveness of our proposed approach. Subsequently, we compare the storage capacity and query performance of LCGCT with a PostgreSQL-based implementation, and results show that LCGCT conserves 75% of the storage space and achieves three times the query speed. Owing to its noteworthy storage and query performance, our proposed time-series data model-based LCGCT can be used in time-domain astronomical projects with high time resolution.

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来源期刊
Astronomy and Computing
Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
期刊介绍: Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.
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