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Published on: May 25, 2021
Electron density measurement in low-density plasma of electrical wire explosion using a Shack-Hartmann wavefront
Yiming Zhao1, Jian Wu1, Zhiyuan Jiang1
1National Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China.
A new Shack-Hartmann wavefront sensor method accurately measures low-density plasma electron density. This technique offers improved spatial range and accuracy for corona plasma diagnostics, outperforming traditional methods.
Area of Science:
- Plasma Physics
- Optical Diagnostics
- Wavefront Sensing
Background:
- Measuring low-density plasma electron density is challenging due to limitations in traditional diagnostic sensitivity and spatial resolution.
- Corona plasma generated by electrical wire explosions presents unique diagnostic difficulties.
Purpose of the Study:
- To present a novel electron density diagnostic method for corona plasma using a Shack-Hartmann wavefront sensor.
- To improve the accuracy and spatial range of low-density plasma diagnostics.
Main Methods:
- Utilized a Shack-Hartmann wavefront sensor integrated with a nanosecond pulsed laser and high-resolution camera.
- Employed neural network methods and micro-lens optical simulations for sub-pixel centroid localization.
- Validated the technique against laser interferometry for corona plasma generated by silver-wire explosions under pre-pulse conditions.
Main Results:
- Achieved sub-pixel accuracy (0.25 pixels) with a 21% reduction in shift errors compared to conventional methods.
- Demonstrated theoretical sensitivity up to 2 × 10^15 cm^-2.
- Measured a minimum electron density of 2.2 × 10^16 cm^-2 at 4.4 mm from the wire axis, showing a broader spatial range than laser interferometry.
Conclusions:
- The Shack-Hartmann wavefront sensor method is effective for diagnosing corona plasma electron density, especially in low-density regions.
- This technique offers enhanced spatial range and accuracy compared to existing methods.
- Future work aims to optimize the system for reduced errors and application in large-scale pulsed power facilities.
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