1. The XRISM science data center: optimizing the scientific return from a unique x-ray observatory
- Author
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Robert S. Hill, Masanori Ohno, Makoto Tashiro, Tsunefumi Mizuno, Tsubasa Tamba, Shin'ichiro Uno, Patricia L. Hall, Efrem Braun, S. Eguchi, Yasushi Fukazawa, Takao Kitaguchi, Trisha F. Doyle, Kazuhiro Nakazawa, Hideki Uchiyama, Takayuki Tamura, Yuusuke Uchida, Matthew Holland, Michael Loewenstein, Hiromitsu Takahashi, Shinya Nakashima, Naomi Ota, Megumi Shidatsu, R. Sato, Yohko Tsuboi, Christopher J. Baluta, Shin Watanabe, Shigeo Yamauchi, Yasuharu Sugawara, Aya Kubota, Yukikatsu Terada, Eric D. Miller, Satoru Katsuda, Hirokazu Odaka, Ryo Iizuka, Yuichi Terashima, Masayoshi Nobukawa, Tahir Yaqoob, Ken Ebisawa, and Koji Mukai
- Subjects
Software ,Spectrometer ,business.industry ,Observatory ,Computer science ,Systems engineering ,Data center ,business ,Pipeline (software) ,Throughput (business) ,Scheduling (computing) ,Data transmission - Abstract
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.
- Published
- 2020
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