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

13 December 2020 The XRISM science data center: optimizing the scientific return from a unique x-ray observatory

Michael Loewenstein, Robert S. Hill, Matthew P. Holland, Eric D. Miller, Tahir Yaqoob, Trisha F. Doyle, Patricia L. Hall, Efrem Braun, Chris Baluta, Koji Mukai, Yukikatsu Terada, Makoto Tashiro, Hiromitsu Takahashi, Masayoshi Nobukawa, Tsunefumi Mizuno, Takayuki Tamura, Shin'ichiro Uno, Shin Watanabe, Ken Ebisawa, Satoshi Eguchi, Yasushi Fukazawa, Ryo Iizuka, Satoru Katsuda, Takao Kitaguchi, Aya Kubota, Shinya Nakashima, Kazuhiro Nakazawa, Hirokazu Odaka, Masanori Ohno, Naomi Ota, Rie Sato, Yasuharu Sugawara, Megumi Shidatsu, Tsubasa Tamba, Yuichi Terashima, Yohko Tsuboi, Yuusuke Uchida, Hideki Uchiyama, Shigeo Yamauchi

Author Affiliations +

Proceedings Volume 11444, Space Telescopes and Instrumentation 2020: Ultraviolet to Gamma Ray; 114445D (2020) https://doi.org/10.1117/12.2560840
Event: SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only

Conference Poster

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.

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