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Future Projection by orbital debris evolutionary model

JAXA Supercomputer System Annual Report April 2017-March 2018

Report Number: R17EG3105

Subject Category: Research and Development

PDF available here

  • Responsible Representative: Hiroyuki Sugita, Research Unit II, Research and Development Directorate
  • Contact Information: Masumi Higashide higaside@chofu.jaxa.jp
  • Members: Takayuki Hirai, Satomi Kawamoto, Masumi Higashide, Yasuhiro Kitagawa, Shuji Abe, Toshiya Hanada

Abstract

Increase of space debris is a problem for reliability of future space activity. JAXA has researched for space debris removal technology. JAXA and Kyushu university developed an orbital debris evolutionary model named NEODEEM to predict numbers of future space objects. Analysis results from NEODEEM lead which object should be removed.

Reference URL

Please refer to ‘Ensuring the safety of space missions now and in the future | JAXA|Research and Development Directorate‘.

Reasons for using JSS2

NEODEEM predicts numbers of long-term future space objects by using Monte-Carlo method. We expect reduction of computation time.

Achievements of the Year

In this year, preliminary tests for the EODEEM computation were performed with SORA_PP. An example of the computation results is shown in Fig. 1. NEODEEM was updated for parallel computing with OpenMPI. However, the updated model was not employed for this research because repeatability of computation results are not assured. Total analysis time was reduced by assigning Monte-Calro run numbers to multiple cores. We will start NEODEEM computation for future orbital environment analysis from next year.

Annual Reoprt Figures for 2017

Fig.1: Prediction example of space object number for 100 years

 

Publications

N/A

Usage of JSS2

Computational Information

  • Process Parallelization Methods: Assigning Monte-Calro run numbers to multiple cores
  • Thread Parallelization Methods: N/A
  • Number of Processes: 2 – 10
  • Elapsed Time per Case: 60.00 hours

Resources Used

 

Fraction of Usage in Total Resources*1(%): 0.01

 

Details

Please refer to System Configuration of JSS2 for the system configuration and major specifications of JSS2.

Computational Resources
System Name Amount of Core Time
(core x hours)
Fraction of Usage*2(%)
SORA-MA 0.00 0.00
SORA-PP 7,260.68 0.09
SORA-LM 0.00 0.00
SORA-TPP 0.00 0.00

 

File System Resources
File System Name Storage Assigned
(GiB)
Fraction of Usage*2(%)
/home 023.84 0.02
/data 238.42 0.00
/ltmp 4,882.81 0.37

 

Archiver Resources
Archiver Name Storage Used
(TiB)
Fraction of Usage*2(%)
J-SPACE 0.00 0.00

*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.

JAXA Supercomputer System Annual Report April 2017-March 2018