MyView2, a new visualization software tool for analysis of LHD data

Chanho Moon, Mikirou Yoshinuma, Masahiko Emoto, Katsumi Ida

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The Large Helical Device (LHD) at the National Institute for Fusion Science (NIFS) is the world's largest superconducting helical fusion device, providing a scientific research center to elucidate important physics research such as plasma transport, turbulence dynamics, and other topics. Furthermore, many types of advanced diagnostic devices are used to measure the confinement plasma characteristics, and these valuable physical data are registered over the 131,000 discharges in the LHD database. However, it is difficult to investigate the experimental data even though much physical data has been registered. In order to improve the efficiency for investigating plasma physics in LHD, we have developed a new data visualization software, MyView2, which consists of Python-based modules that can be easily set up and updated. MyView2 provides immediate access to experimental results, cross-shot analysis, and a collaboration point for scientific research. In particular, the MyView2 software is a portable structure for making viewable LHD experimental data in on- and off-site web servers, which is a capability not previously available in any general use tool. We will also discuss the benefits of using the MyView2 software for in-depth analysis of LHD experimental data.

Original languageEnglish
Pages (from-to)56-60
Number of pages5
JournalFusion Engineering and Design
Volume104
DOIs
Publication statusPublished - Mar 2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Nuclear Energy and Engineering
  • Materials Science(all)
  • Mechanical Engineering

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