XAppl: Software framework for the XRISM pre-pipeline

Satoshi Eguchi; Makoto Tashiro; Yukikatsu Terada; Hiromitsu Takahashi; Masayoshi Nobukawa; Tsunefumi Mizuno; Shin’ichiro Uno; Aya Kubota; Kazuhiro Nakazawa; Shin Watanabe; Ryo Iizuka; Rie Sato; Tomokage Yoneyama; Chris Baluta; Ken Ebisawa; Yasushi Fukazawa; Katsuhiro Hayashi; So Kato; Satoru Katsuda; Takao Kitaguchi; Hirokazu Odaka; Masanori Ohno; Naomi Ota; Minami Sakama; Ryohei Sato; Megumi Shidatsu; Yasuharu Sugawara; Tsubasa Tamba; Atsushi Tanimoto; Yuichi Terashima; Yohko Tsuboi; Nagomi Uchida; Yuusuke Uchida; Hideki Uchiyama; Shigeo Yamauchi; Masaaki Sakano; Tessei Yoshida; Satoshi Yamada

doi:10.1117/12.2629316

XAppl: Software framework for the XRISM pre-pipeline

Satoshi Eguchi, Makoto Tashiro, Yukikatsu Terada, Hiromitsu Takahashi, Masayoshi Nobukawa, Tsunefumi Mizuno, Shin’ichiro Uno, Aya Kubota, Kazuhiro Nakazawa, Shin Watanabe, Ryo Iizuka, Rie Sato, Tomokage Yoneyama, Chris Baluta, Ken Ebisawa, Yasushi Fukazawa, Katsuhiro Hayashi, So Kato, Satoru Katsuda, Takao KitaguchiHirokazu Odaka, Masanori Ohno, Naomi Ota, Minami Sakama, Ryohei Sato, Megumi Shidatsu, Yasuharu Sugawara, Tsubasa Tamba, Atsushi Tanimoto, Yuichi Terashima, Yohko Tsuboi, Nagomi Uchida, Yuusuke Uchida, Hideki Uchiyama, Shigeo Yamauchi, Masaaki Sakano, Tessei Yoshida, Satoshi Yamada

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Xappl is a software framework written in Python to build pre-pipelines for the X-Ray Imaging and Spectroscopy Mission (XRISM) scheduled to be launched in the Japanese fiscal year 2022. Xappl chains software tasks in the order specified in configuration files in the INI format, enabling us to reduce the telemetry data to First FITS Files, which originate datasets ready for analysis. Since the functionalities of Xappl are highly generalized, it is reusable for future missions. In this paper, we present the design of Xappl and report the developmental progress of the pre-pipeline for XRISM.

Original language	English
Title of host publication	Space Telescopes and Instrumentation 2022
Subtitle of host publication	Ultraviolet to Gamma Ray
Editors	Jan-Willem A. den Herder, Shouleh Nikzad, Kazuhiro Nakazawa
Publisher	SPIE
ISBN (Electronic)	9781510653436
DOIs	https://doi.org/10.1117/12.2629316
Publication status	Published - 2022
Event	Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray - Montreal, United States Duration: 2022 Jul 17 → 2022 Jul 22

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	12181
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray
Country/Territory	United States
City	Montreal
Period	22/7/17 → 22/7/22

Keywords

Pre-Pipeline
Python
X-Ray
Xappl
XRISM

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2629316

Cite this

Eguchi, S., Tashiro, M., Terada, Y., Takahashi, H., Nobukawa, M., Mizuno, T., Uno, S., Kubota, A., Nakazawa, K., Watanabe, S., Iizuka, R., Sato, R., Yoneyama, T., Baluta, C., Ebisawa, K., Fukazawa, Y., Hayashi, K., Kato, S., Katsuda, S., ... Yamada, S. (2022). XAppl: Software framework for the XRISM pre-pipeline. In J-W. A. den Herder, S. Nikzad, & K. Nakazawa (Eds.), Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray [1218161] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12181). SPIE. https://doi.org/10.1117/12.2629316

XAppl: Software framework for the XRISM pre-pipeline. / Eguchi, Satoshi; Tashiro, Makoto; Terada, Yukikatsu et al.
Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray. ed. / Jan-Willem A. den Herder; Shouleh Nikzad; Kazuhiro Nakazawa. SPIE, 2022. 1218161 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12181).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Eguchi, S, Tashiro, M, Terada, Y, Takahashi, H, Nobukawa, M, Mizuno, T, Uno, S, Kubota, A, Nakazawa, K, Watanabe, S, Iizuka, R, Sato, R, Yoneyama, T, Baluta, C, Ebisawa, K, Fukazawa, Y, Hayashi, K, Kato, S, Katsuda, S, Kitaguchi, T, Odaka, H, Ohno, M, Ota, N, Sakama, M, Sato, R, Shidatsu, M, Sugawara, Y, Tamba, T, Tanimoto, A, Terashima, Y, Tsuboi, Y, Uchida, N, Uchida, Y, Uchiyama, H, Yamauchi, S, Sakano, M, Yoshida, T & Yamada, S 2022, XAppl: Software framework for the XRISM pre-pipeline. in J-WA den Herder, S Nikzad & K Nakazawa (eds), Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray., 1218161, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12181, SPIE, Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray, Montreal, United States, 22/7/17. https://doi.org/10.1117/12.2629316

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abstract = "Xappl is a software framework written in Python to build pre-pipelines for the X-Ray Imaging and Spectroscopy Mission (XRISM) scheduled to be launched in the Japanese fiscal year 2022. Xappl chains software tasks in the order specified in configuration files in the INI format, enabling us to reduce the telemetry data to First FITS Files, which originate datasets ready for analysis. Since the functionalities of Xappl are highly generalized, it is reusable for future missions. In this paper, we present the design of Xappl and report the developmental progress of the pre-pipeline for XRISM.",

keywords = "Pre-Pipeline, Python, X-Ray, Xappl, XRISM",

author = "Satoshi Eguchi and Makoto Tashiro and Yukikatsu Terada and Hiromitsu Takahashi and Masayoshi Nobukawa and Tsunefumi Mizuno and Shin{\textquoteright}ichiro Uno and Aya Kubota and Kazuhiro Nakazawa and Shin Watanabe and Ryo Iizuka and Rie Sato and Tomokage Yoneyama and Chris Baluta and Ken Ebisawa and Yasushi Fukazawa and Katsuhiro Hayashi and So Kato and Satoru Katsuda and Takao Kitaguchi and Hirokazu Odaka and Masanori Ohno and Naomi Ota and Minami Sakama and Ryohei Sato and Megumi Shidatsu and Yasuharu Sugawara and Tsubasa Tamba and Atsushi Tanimoto and Yuichi Terashima and Yohko Tsuboi and Nagomi Uchida and Yuusuke Uchida and Hideki Uchiyama and Shigeo Yamauchi and Masaaki Sakano and Tessei Yoshida and Satoshi Yamada",

note = "Funding Information: This work is partially supported by JSPS KAKENHI Grant Number JP19K12244 (SE), JP18H04571, JP20K04009 (YT), JP21K03615, and JP21H04493 (MN). Publisher Copyright: {\textcopyright} 2022 SPIE. All rights reserved.; Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray ; Conference date: 17-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.1117/12.2629316",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

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editor = "{den Herder}, {Jan-Willem A.} and Shouleh Nikzad and Kazuhiro Nakazawa",

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T2 - Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray

AU - Eguchi, Satoshi

AU - Tashiro, Makoto

AU - Terada, Yukikatsu

AU - Takahashi, Hiromitsu

AU - Nobukawa, Masayoshi

AU - Mizuno, Tsunefumi

AU - Uno, Shin’ichiro

AU - Kubota, Aya

AU - Nakazawa, Kazuhiro

AU - Watanabe, Shin

AU - Iizuka, Ryo

AU - Sato, Rie

AU - Yoneyama, Tomokage

AU - Baluta, Chris

AU - Ebisawa, Ken

AU - Fukazawa, Yasushi

AU - Hayashi, Katsuhiro

AU - Kato, So

AU - Katsuda, Satoru

AU - Kitaguchi, Takao

AU - Odaka, Hirokazu

AU - Ohno, Masanori

AU - Ota, Naomi

AU - Sakama, Minami

AU - Sato, Ryohei

AU - Shidatsu, Megumi

AU - Sugawara, Yasuharu

AU - Tamba, Tsubasa

AU - Tanimoto, Atsushi

AU - Terashima, Yuichi

AU - Tsuboi, Yohko

AU - Uchida, Nagomi

AU - Uchida, Yuusuke

AU - Uchiyama, Hideki

AU - Yamauchi, Shigeo

AU - Sakano, Masaaki

AU - Yoshida, Tessei

AU - Yamada, Satoshi

N1 - Funding Information: This work is partially supported by JSPS KAKENHI Grant Number JP19K12244 (SE), JP18H04571, JP20K04009 (YT), JP21K03615, and JP21H04493 (MN). Publisher Copyright: © 2022 SPIE. All rights reserved.

PY - 2022

Y1 - 2022

N2 - Xappl is a software framework written in Python to build pre-pipelines for the X-Ray Imaging and Spectroscopy Mission (XRISM) scheduled to be launched in the Japanese fiscal year 2022. Xappl chains software tasks in the order specified in configuration files in the INI format, enabling us to reduce the telemetry data to First FITS Files, which originate datasets ready for analysis. Since the functionalities of Xappl are highly generalized, it is reusable for future missions. In this paper, we present the design of Xappl and report the developmental progress of the pre-pipeline for XRISM.

AB - Xappl is a software framework written in Python to build pre-pipelines for the X-Ray Imaging and Spectroscopy Mission (XRISM) scheduled to be launched in the Japanese fiscal year 2022. Xappl chains software tasks in the order specified in configuration files in the INI format, enabling us to reduce the telemetry data to First FITS Files, which originate datasets ready for analysis. Since the functionalities of Xappl are highly generalized, it is reusable for future missions. In this paper, we present the design of Xappl and report the developmental progress of the pre-pipeline for XRISM.

KW - Pre-Pipeline

KW - Python

KW - X-Ray

KW - Xappl

KW - XRISM

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U2 - 10.1117/12.2629316

DO - 10.1117/12.2629316

M3 - Conference contribution

AN - SCOPUS:85140421414

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Space Telescopes and Instrumentation 2022

A2 - den Herder, Jan-Willem A.

A2 - Nikzad, Shouleh

A2 - Nakazawa, Kazuhiro

PB - SPIE

Y2 - 17 July 2022 through 22 July 2022

ER -

XAppl: Software framework for the XRISM pre-pipeline

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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