The XRISM science data center: optimizing the scientific return from a unique x-ray observatory

The XRISM science data center: optimizing the scientific return from a unique x-ray observatory
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XRISM 科学数据中心:优化独特 X 射线天文台的科学回报

DOI:
10.1117/12.2560840
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发表时间:
2020
期刊:
Proceedings of the SPIE
影响因子:
--
通讯作者:
Holland Matthew P et al.
Holland Matthew P et al.
中科院分区:
--
文献类型:
--
作者:
Loewenstein Michael;Hill Robert S.;Holland Matthew P et al.

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x射线成像和光谱任务(XRISM)计划于2022年发射,目标是在ASTRO-H (Hitomi)任务短暂成功的基础上,恢复主要科学目标,利用高分辨率x射线光谱学解决悬而未决的天体物理问题。XRISM科学运营团队(SOT)由jaxa领导的科学运营中心(SOC)和nasa领导的科学数据中心(SDC)组成,通过规划和调度观测、数据处理和分发、软件工具和校准数据库(CaldB)的开发和分发、用户支持以及地面和飞行校准支持,共同优化Resolve高分辨率光谱仪和Xtend宽视场成像仪的科学输出。在这里,我们总结了SDC的角色和职责,以及目前的现状和未来的计划,涵盖了调度软件、软件和CalDB的制作和发布、数据传输和处理流水线,以及仿真等流水线后分析工具。由于其前所未有的高光谱分辨率和吞吐量、宽光谱覆盖、相对较小的视场和大像素尺寸的组合,Resolve提出了特殊的挑战;我们强调这些挑战。
The X-Ray Imaging and Spectroscopy Mission, XRISM, is scheduled to launch in 2022, with the goal of building on the brief successes of the ASTRO-H (Hitomi) mission, and recovering the prime science objective to solve outstanding astrophysical questions using high resolution X-ray spectroscopy. The XRISM Science Operations Team (SOT), consists of the JAXA-led Science Operations Center (SOC) and NASA-led Science Data Center (SDC) that work together to optimize the scientific output from the Resolve high-resolution spectrometer and the Xtend wide-field imager through planning and scheduling observations, processing and distribution of data, development and distribution of software tools and the calibration database (CaldB), user support, and support of ground and in-flight calibration. Here, we summarize the roles and responsibilities of the SDC, and the current status and future plans, covering scheduling software, software and CalDB production and release, data transmission and processing pipeline, and simulation and other post-pipeline analysis tools. Resolve poses particular challenges due to its unprecedented combination of high spectral resolution and throughput, broad spectral coverage, and relatively small field-of-view and large pixel-size; and, we highlight those challenges.
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