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
N1 - Funding Information:
The authors acknowledge all the members of the LHD Experiment Group for their assistance. This work is supported by a Grant-in-Aid for Scientific Research (No. 15H02336 ) of JSPS Japan.
Publisher Copyright:
© 2016 Elsevier B.V. All rights reserved.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
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.
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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 -