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

Chanho Moon; Mikirou Yoshinuma; Masahiko Emoto; Katsumi Ida

doi:10.1016/j.fusengdes.2016.01.076

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

Chanho Moon, Mikirou Yoshinuma, Masahiko Emoto, Katsumi Ida

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	56-60
Number of pages	5
Journal	Fusion Engineering and Design
Volume	104
DOIs	https://doi.org/10.1016/j.fusengdes.2016.01.076
Publication status	Published - Mar 2016
Externally published	Yes

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1016/j.fusengdes.2016.01.076

Fingerprint Dive into the research topics of 'MyView2, a new visualization software tool for analysis of LHD data'. Together they form a unique fingerprint.

Cite this

@article{db83d5ccfa19468bb13c77d318f33a22,

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

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.",

author = "Chanho Moon and Mikirou Yoshinuma and Masahiko Emoto and Katsumi Ida",

year = "2016",

month = mar,

doi = "10.1016/j.fusengdes.2016.01.076",

language = "English",

volume = "104",

pages = "56--60",

journal = "Fusion Engineering and Design",

issn = "0920-3796",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - MyView2, a new visualization software tool for analysis of LHD data

AU - Moon, Chanho

AU - Yoshinuma, Mikirou

AU - Emoto, Masahiko

AU - Ida, Katsumi

PY - 2016/3

Y1 - 2016/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84959299248&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84959299248&partnerID=8YFLogxK

U2 - 10.1016/j.fusengdes.2016.01.076

DO - 10.1016/j.fusengdes.2016.01.076

M3 - Article

AN - SCOPUS:84959299248

VL - 104

SP - 56

EP - 60

JO - Fusion Engineering and Design

JF - Fusion Engineering and Design

SN - 0920-3796

ER -