Study of a supersonic magnetized plasma jet with a magnetic probe array
2022
- 101Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage101
- Downloads68
- Abstract Views33
Artifact Description
Presented is a method to observe magnetic field strengths in a three-dimensional volume above a pulsed plasma source. This source will produce a plasma which exhibits phenomena under investigation: plasma instabilities and magnetic reconnection. They are processes in which a portion of magnetic field energy is transferred into kinetic or thermal energy of a plasma. By observing the topology of the magnetic field at different locations over many pulses, a three-dimensional vector space can be built up of the plasma as it evolves over time. The magnetic field observations will be performed with a calibrated magnetic field probe array (MPA). By interpreting these data over key parameter variations, construction of an empirical model will be suggested. In addition, prediction will be made with an artificial Intelligence (AI) technique to supplement the experimental results so as to find optimal heating and acceleration regions. The AI-based optimization of parameters may be intrinsic to system geometry, and may need adjustment for dissimilar architecture. This study will investigate the fundamental plasma physics and the drivers of reconnection, and may lead to a better understanding of the dynamics of the corona of our star and plasma. Besides that, this study will also be utilized to improve the pulsed plasma propulsion technology.
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