Improving pulsed laser induced fluorescence distribution function analysis through matched filter signal processing

Area of Science:

• Plasma Physics
• Astrophysics
• Laser Spectroscopy

Background:

• Magnetic reconnection is a fundamental plasma process driving energetic particle acceleration.
• Laser-induced fluorescence (LIF) is a key diagnostic for measuring ion properties in plasmas.
• Optimizing LIF signal-to-noise ratio (SNR) is crucial for accurate measurements.

Purpose of the Study:

• To develop an improved data processing method for LIF measurements in the PHASMA experiment.
• To enhance the signal-to-noise ratio (SNR) of argon ion temperature measurements during magnetic reconnection.
• To reduce the number of laser shots required for high-fidelity plasma diagnostics.

Main Methods:

• Implementation of a matched filter processing technique for pulsed laser-induced fluorescence data.
• Analysis of simulated and experimental data from the PHASMA experiment.
• Comparison of the matched filter method against traditional averaging techniques.

Main Results:

• The matched filter method demonstrated a significant improvement in the processed SNR.
• Up to a 20% increase in processed SNR was observed compared to conventional methods.
• Reduced uncertainty in the determination of ion distribution functions was achieved.

Conclusions:

• The matched filter technique offers a more efficient approach to LIF data analysis.
• This method enables more precise measurements of ion heating in magnetic reconnection events.
• The improved SNR facilitates better understanding of plasma dynamics and particle acceleration.