Science Product Pipelines and Archive Architecture for the DART Mission

IF 3.8 Q2 ASTRONOMY & ASTROPHYSICS
C. Dany Waller, Raymond C. Espiritu, Calley Tinsman, Hari Nair, Carolyn M. Ernst, R. Terik Daly, Olivier S. Barnouin, Angelo Zinzi, Nancy L. Chabot, Andrew S. Rivkin, Nicholas Moskovitz, David Osip, Tim Lister, Eileen Ryan, William Ryan
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引用次数: 0

Abstract

On 2022 September 26, the Double Asteroid Redirection Test (DART) mission was the first successful demonstration of a kinetic impactor for planetary defense. The DART mission utilized a novel autonomous data processing pipeline architecture to quickly produce and analyze the quality of raw and calibrated images from the camera mounted on board the spacecraft. Optimization of the data processing pipeline allowed the final 150 images prior to impact to be calibrated and delivered to the Investigation Team and the press within 15 minutes of acquisition. A data quality analysis pipeline allowed for rapid identification of detector misconfigurations, missing data, and other adverse events. DART data products, along with data from LICIACube and data from ground observatories, used common file formats to facilitate the development of analysis and archiving software. This architecture is described for future missions with large volumes of data and an emphasis on quick-turnaround applications such as planetary defense.
DART 任务的科学产品管道和档案架构
2022 年 9 月 26 日,双小行星重定向试验(DART)任务首次成功演示了用于行星防御的动能撞击器。DART任务采用了一种新颖的自主数据处理管道架构,以快速生成和分析来自航天器上安装的相机的原始图像和校准图像的质量。数据处理管道的优化使得撞击前的最后150幅图像能够在采集后15分钟内完成校准并提供给调查组和新闻界。数据质量分析流水线可快速识别探测器配置错误、数据缺失和其他不利事件。DART 数据产品以及来自 LICIACube 的数据和来自地面观测站的数据使用通用文件格式,以促进分析和存档软件的开发。这种结构适用于未来的大量数据任务,重点是行星防御等快速周转应用。
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来源期刊
The Planetary Science Journal
The Planetary Science Journal Earth and Planetary Sciences-Geophysics
CiteScore
5.20
自引率
0.00%
发文量
249
审稿时长
15 weeks
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