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Updated: Jan 20, 2026

Building Langmuir Probes and Emissive Probes for Plasma Potential Measurements in Low Pressure, Low Temperature Plasmas
Published on: May 25, 2021
The digital mirror Langmuir probe: Field programmable gate array implementation of real-time Langmuir probe biasing
C Vincent1, W McCarthy2, T Golfinopoulos2
1Department of Physics, Durham University, South Road, Durham, DH1 3LE, United Kingdom.
A new digital Mirror Langmuir Probe (MLP) controller using FPGA technology offers high-speed, high-resolution plasma measurements. This advancement overcomes limitations of conventional probes for studying tokamak boundary plasma turbulence.
Area of Science:
- Plasma physics
- Fusion energy research
- Diagnostic techniques
Background:
- High-resolution measurements of electron temperature, density, and plasma potential are crucial for understanding tokamak boundary plasma turbulence.
- Conventional Langmuir probes face limitations in temporal or spatial resolution for these demanding measurements.
Purpose of the Study:
- To develop and implement a digital Mirror Langmuir Probe (MLP) controller for enhanced plasma diagnostics.
- To overcome the resolution limitations of traditional probe techniques in tokamak research.
Main Methods:
- Utilized a Field Programmable Gate Array (FPGA) board for a new digital MLP controller prototype.
- The controller rapidly switches voltage across three dynamically optimized bias states for single-electrode measurements.
- Simulated probe current response using experimental data on a second FPGA board for testing.
Main Results:
- The digital MLP controller successfully reproduces the functionality of the analog system, enabling high-speed data acquisition at 1.1 MSPS.
- FPGA technology allows for customizable, cost-effective, and time-efficient development.
- The system demonstrates potential for external plasma parameter feedback control.
Conclusions:
- The digital MLP controller represents a significant advancement in plasma diagnostic capabilities for fusion research.
- FPGA implementation offers flexibility, scalability, and reduced development costs.
- The project's availability as a git repository encourages collaboration and further development.
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