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High-Level Data Processing of Scientific Satellites

JAXA Supercomputer System Annual Report February 2023-January 2024

Report Number: R23EDU10503

Subject Category: Space and Astronautical Science

PDF available here

  • Responsible Representative: Ken EBISAWA, Professor, Institute of Space and Astronautical Science
  • Contact Information: Ken EBISAWA, Institute of Space and Astronautical Science(ebisawa.ken@jaxa.jp)
  • Members: Nagi Atsuchi, Marco Bortolami, Yuji Chinone, Ken Ebisawa, Yoshiaki Kanemaru, Miki Kurihara, Ryosuke Moriguchi, Yuto Mochizuki, Misaki Mizumoto, Yuya Nagano, Satoshi Nakahira, Tomoki Omama, Shoji Ogawa, Hiromasa Suzuki, Samantha Stever, Yuki Sakurai, Tsubasa Tamba, Masahiro Tsujimoto, Mayu Tominaga, Yusuke Takase, Hayato Takakura, Maurizio Tomasi

Abstract

Maximize the scientific results obtained from the data by performing higher-order processing and simulation of data acquired by JAXA’s scientific satellites

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

(1)Routine analysis of large amounts of data

Determination of physical parameters describing a large amount of observed data or its error.

(2)Large-scale simulation

Performs large-scale simulations to compare with observed data

(3) Large-scale pipeline processing

Generate standard higher-order data by changing the format of satellite telemetry data or applying various calibrations.

Achievements of the Year

(1)X-ray astronomy satellite data analysis

Energy spectra of X-ray sources acquired by Suzaku, XMM, NICER, etc. show complex variations. We applied precise physical models to a large number of energy spectra divided into fine time intervals to determine physical parameters and their error ranges.

(2-1)X-ray Astronomy Data Simulation

In order to reproduce the observed spectra acquired by X-ray astronomy satellites, spectra from ionized plasmas were calculated by Monte Carlo simulations, assuming various parameters.

(2-2)Cosmology simulation

In order to determine the specifications of the LiteBIRD satellite planned by JAXA, various instrument parameters were assumed and the expected observation data were simulated.

(3) Reprocessing of all data from the XRISM satellite

As the on-orbit instrument calibration information was updated for the XRISM satellite launched in September 2023, it became necessary to reprocess all data; by using JSS, all data pipeline processing was completed in a short time and ready for distribution to team members.

Publications

– Peer-reviewed papers

Spectral Modeling of the Supersoft X-Ray Source CAL87 Based on Radiative Transfer Codes”, Tsujimoto et al. (DOI: 10.3847/1538-4357/ad0bfa)

“X-Ray Spectral Variations of Circinus X-1 Observed with NICER throughout an Entire Orbital Cycle”, Tominaga, et al. (DOI:10.3847/1538-4357/ad0034 )

“Origin of the complex iron line structure and spectral variation in Mrk 766”, Mozhizuki, et al. (DOI:: 10.1093/mnras/stad2329)

– Oral Presentations

*Mochizuki, Y., Mizumoto, M., Ebisawa, K., Origin of the complex iron line structure in Mrk 766, Tracing the SMBH growth: outlook beyond the HSC-SSP, and future collaborations, Session5, Kagoshima University, November and December 2022

*Y. Nagano (Okayama U.), M. Bortolami (Ferrara U.), “Model of beam convolution with a HWP”, CMB-INFLATE workshop (23/09/25-26@Roma Sapienza Univ.

* M. Bortolami (Ferrara U.), Y. Takase (Okayama U.), “Pointing systematics in LiteBIRD”, (23/09/25-26@Roma Sapienza Univ.

– Poster Presentations

*Mochizuki, Y., Mizumoto, M., Ebisawa, K., Origin of the complex iron line structure and spectral variation in Mrk 766, East-Asia AGN Workshop, p14, Kagoshima University, September 2023

*Yuki Sakurai (Okayama University ) / Nicolo Raffuzzi (University of Ferrara)

“Description of Half Wave Plate imperfections”, CMB-INFLATE workshop (23/09/25-26@Roma Sapienza Univ.

Usage of JSS

Computational Information

  • Process Parallelization Methods: N/A
  • Thread Parallelization Methods: N/A
  • Number of Processes: 1
  • Elapsed Time per Case: 1 Hour(s)

JSS3 Resources Used

 

Fraction of Usage in Total Resources*1(%): 1.15

 

Details

Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.

Computational Resources
System Name CPU Resources Used
(Core x Hours)
Fraction of Usage*2(%)
TOKI-SORA 5424.80 0.00
TOKI-ST 9032725.36 9.75
TOKI-GP 21.75 0.00
TOKI-XM 280.63 0.15
TOKI-LM 36062.65 2.75
TOKI-TST 0.00 0.00
TOKI-TGP 0.00 0.00
TOKI-TLM 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 2105.00 1.75
/data and /data2 132686.67 0.82
/ssd 44431.33 4.20

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 12.45 0.04

*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System, and Archiver).

*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.

 

ISV Software Licenses Used

ISV Software Licenses Resources
ISV Software Licenses Used
(Hours)
Fraction of Usage*2(%)
ISV Software Licenses
(Total)
0.00 0.00

*2: Fraction of Usage:Percentage of usage relative to each resource used in one year.

JAXA Supercomputer System Annual Report February 2023-January 2024