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Novel data interpretation method for DIII-D divertor retarding field energy analyzer with 3-D particle-in-cell
B Zhao1, D C Donovan1, J Ren1
1Department of Nuclear Engineering, University of Tennessee, Knoxville, Tennessee 37916, USA.
A new method using particle-in-cell (PIC) simulations improves data interpretation for retarding field energy analyzers (RFEA) in fusion divertors. This enhances ion temperature measurements under extreme heat loads.
Area of Science:
- Plasma Physics
- Fusion Energy Engineering
- Computational Physics
Background:
- The DIII-D fusion device is developing a new retarding field energy analyzer (RFEA) for lower divertor diagnostics.
- The RFEA must withstand extreme heat loads (100 MW/m2 for 5s) and measure ion temperatures (10-200 eV).
- Conventional RFEA data analysis methods may be insufficient due to probe geometry limitations and ion space charge effects.
Purpose of the Study:
- To develop and validate a novel data interpretation process for a new RFEA at DIII-D.
- To improve the accuracy of main ion temperature (Ti) measurements in the divertor target region.
- To address the limitations of simplified 1-D models in extreme fusion environments.
Main Methods:
- Utilizing comprehensive 3-D particle-in-cell (PIC) simulations.
- Incorporating realistic probe geometry and ion space charge effects into the simulations.
- Developing a new data interpretation process based on PIC simulation results.
Main Results:
- A more realistic description of particle propagation within the RFEA cavity was achieved.
- The capability to reconstruct ion energy distribution functions was demonstrated with reasonable consistency.
- The novel PIC-based method offers improved accuracy for RFEA data interpretation.
Conclusions:
- The developed PIC simulation-based data interpretation process is suitable for the new DIII-D RFEA.
- This advanced method overcomes limitations of conventional techniques in extreme divertor conditions.
- The study validates a more robust approach for plasma diagnostic data analysis in fusion research.
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