Combined Microwave and Laser Rayleigh Scattering Diagnostics for Pin-to-Pin Nanosecond Discharges

TL;DR

This study combines microwave and laser Rayleigh scattering diagnostics to measure electron decay in atmospheric pin-to-pin nanosecond discharges, accounting for local gas density variations and providing detailed decay characteristics.

Contribution

It introduces a hybrid MRS and LRS diagnostic method for accurately measuring electron decay in microplasmas with density variations due to energy deposition.

Findings

Measured electron number density peak at 4.5×10^15 cm^-3

Observed a 30% reduction in local gas density during decay

Detected a shock front traveling at approximately 500 m/s

Abstract

In this work, the temporal decay of electrons produced by an atmospheric pin-to-pin nanosecond discharge operating in the spark regime was measured via a combination of microwave Rayleigh scattering (MRS) and laser Rayleigh scattering (LRS). Due to the initial energy deposition of the nanosecond pulse, a variance in local gas density occurs on the timescale of electron decay. Thus, the assumption of a constant collisional frequency is no longer applicable when electron number data is extracted from the MRS measurements. To recalibrate the MRS measurements throughout the electron decay period, temporally-resolved LRS measurements of the local gas density were performed over the event duration. Local gas density was measured to be 30% of the ambient level during the later stages of electron decay and recovers at about 1 ms after the discharge. A shock front traveling approximately 500 m/s was additionally observed. Coupled with plasma volume calibration via temporally-resolved ICCD imaging, the corrected decay curves of the electron number and electron number density are presented with a measured peak electron number density of 4.5*10^15 cm^-3 and decay rate of ~ 0.1-0.35*10^7 s^-1. A hybrid MRS and LRS diagnostic technique can be applied for a broad spectrum of atmospheric-pressure microplasmas where a variation in number gas density is expected due to an energy deposition in the discharge.