Development of an Interactive Code for Quick Data Analyses between STOR-M Tokamak Experimental Plasma Discharges

• Published in: Symmetry (Basel) Vol. 14; no. 8; p. 1559
• Main Authors: Nakajima, Masaru, Basu, Debjyoti, Melnikov, Alexander V., McColl, David, Xiao, Chijin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-08-2022
• Subjects: Alternating current; code development for tokamak turbulence study; Data analysis; Discharge; Experiments; geodesic acoustic mode; Magnetic resonance; Perturbation; Plasma; Software; Time series; tokamak; Tokamak devices; Toruses; User interface; Visualization; Zonal flow (meteorology)
• ISSN: 2073-8994; 2073-8994
• DOI: 10.3390/sym14081559

Saskatchewan Torus-Modified (STOR-M) is a small tokamak, well known for various fusion-related basic experimental studies such as edge turbulent heating, different instabilities, Alternating Current (AC) tokamak operation, Ohmic H-mode triggering by the electrode biasing, fueling and momentum injection by Compact Torus (CT) injection, and the effects of Resonance Magnetic Perturbations (RMPs), among others. Some of those experiments require real-time visualization of magnetic surface reconstructions either through EFIT or quick analyses and visualization of experimental data during experiments. Recently, experimental studies of Geodesic Acoustic Mode (GAM) and zonal flows were performed in the STOR-M tokamak. The GAM experiments strongly require the collection of fluctuation data from different Langmuir probes installed at different poloidal locations, but on the same magnetic surfaces. This is requires the adjustment of radial locations between discharges. It is therefore important to analyze and visualize the features of all probe data quickly during discharges. For this purpose, a Python code was developed and used for quick analysis of the data. This article describes the development of the code using Python and its use in detail.