Signal evaluations using singular value decomposition for Thomson scattering diagnostics

Area of Science:

• Plasma Physics
• Spectroscopy
• Data Analysis

Background:

• Incoherent Thomson scattering is crucial for plasma diagnostics.
• Evaluating signal intensities can be challenging due to noise and stray light.
• Existing methods may not sufficiently mitigate interference.

Purpose of the Study:

• To develop a novel method for evaluating signal intensities in Thomson scattering diagnostics.
• To assess the effectiveness of singular value decomposition in noisy data.
• To improve the accuracy of electron temperature (Te) measurements.

Main Methods:

• Utilized a double-pass Thomson scattering system.
• Applied singular value decomposition (SVD) to analyze scattering data.
• Compared SVD results with low-pass filtering (<20 MHz) and unfiltered data.

Main Results:

• Singular value decomposition effectively processed Thomson scattering data with significant noise.
• The SVD method demonstrated superior average accuracy for measured electron temperature (Te).
• Accuracy improvements were noted compared to low-pass filtering and unfiltered approaches.

Conclusions:

• Singular value decomposition offers a robust method for signal evaluation in noisy Thomson scattering data.
• This technique enhances the reliability and accuracy of electron temperature measurements.
• SVD presents a viable alternative to conventional filtering methods for plasma diagnostics.