πScope: Python based scientific workbench with MDSplus data visualization tool
Abstract
In this work, a newly developed python based scientific data analysis and visualization tool, πScope (http://piscope.psfc.mit.edu), is reported. The primary motivation is 1) to provide an updated tool to browse the MDSplus data beyond existing dwscope/jScope and 2) to realize a universal foundation to construct interface tools to perform computer modeling from experimental data. To visualize MDSplus data, πScope has many features including overplotting different signals and discharges, generating various plot types (line, contour, image, etc.), performing in-panel data analysis using python scripts, and producing publication quality graphics. The logic to generate multi-panel plots is designed to be backward compatible with dwscope, enabling smooth migration for users. πScope uses multi-threading in data loading, and is easy to modify and expand due to its object-oriented design. Furthermore, A user can access the data structure both from a GUI and a script, enabling relatively complex data analysis workflow built quickly on πScope.
- Authors:
-
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Plasma Science and Fusion Center; CEA, IRFM, Saint Paul Lez Durance (France)
- Publication Date:
- Research Org.:
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Plasma Science and Fusion Center
- Sponsoring Org.:
- USDOE Office of Science (SC), Fusion Energy Sciences (FES)
- OSTI Identifier:
- 1897958
- Alternate Identifier(s):
- OSTI ID: 1399144
- Grant/Contract Number:
- FC02-99ER54512
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Fusion Engineering and Design
- Additional Journal Information:
- Journal Volume: 112; Journal ID: ISSN 0920-3796
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; MDSplus; wxPython; Matplotlib; Python
Citation Formats
Shiraiwa, S., Fredian, T., Hillairet, J., and Stillerman, J. πScope: Python based scientific workbench with MDSplus data visualization tool. United States: N. p., 2016.
Web. doi:10.1016/j.fusengdes.2016.06.050.
Shiraiwa, S., Fredian, T., Hillairet, J., & Stillerman, J. πScope: Python based scientific workbench with MDSplus data visualization tool. United States. https://doi.org/10.1016/j.fusengdes.2016.06.050
Shiraiwa, S., Fredian, T., Hillairet, J., and Stillerman, J. Wed .
"πScope: Python based scientific workbench with MDSplus data visualization tool". United States. https://doi.org/10.1016/j.fusengdes.2016.06.050. https://www.osti.gov/servlets/purl/1897958.
@article{osti_1897958,
title = {πScope: Python based scientific workbench with MDSplus data visualization tool},
author = {Shiraiwa, S. and Fredian, T. and Hillairet, J. and Stillerman, J.},
abstractNote = {In this work, a newly developed python based scientific data analysis and visualization tool, πScope (http://piscope.psfc.mit.edu), is reported. The primary motivation is 1) to provide an updated tool to browse the MDSplus data beyond existing dwscope/jScope and 2) to realize a universal foundation to construct interface tools to perform computer modeling from experimental data. To visualize MDSplus data, πScope has many features including overplotting different signals and discharges, generating various plot types (line, contour, image, etc.), performing in-panel data analysis using python scripts, and producing publication quality graphics. The logic to generate multi-panel plots is designed to be backward compatible with dwscope, enabling smooth migration for users. πScope uses multi-threading in data loading, and is easy to modify and expand due to its object-oriented design. Furthermore, A user can access the data structure both from a GUI and a script, enabling relatively complex data analysis workflow built quickly on πScope.},
doi = {10.1016/j.fusengdes.2016.06.050},
journal = {Fusion Engineering and Design},
number = ,
volume = 112,
place = {United States},
year = {Wed Aug 03 00:00:00 EDT 2016},
month = {Wed Aug 03 00:00:00 EDT 2016}
}
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Works referenced in this record:
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journal, January 1997
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X‐windows‐based user interface for data acquisition and display
journal, October 1990
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