Reconstruction and interpretation of photon Doppler velocimetry spectrum for ejecta particles from shock-loaded sample in vacuum

TL;DR

This paper develops a GPU-accelerated Monte Carlo method and a new optical model to interpret photon Doppler velocimetry spectra, enabling direct extraction of ejecta particle parameters from experimental data.

Contribution

It introduces a novel theoretical optical model and a GPU-accelerated Monte Carlo algorithm for analyzing PDV spectra of ejecta particles.

Findings

The model accurately relates PDV spectral features to particle parameters.

Estimated ejecta parameters agree with independent measurements.

The approach improves interpretation of PDV data in shock physics.

Abstract

The photon Doppler velocimetry (PDV) spectrum is investigated in an attempt to reveal the particle parameters of ejecta from shock-loaded samples in a vacuum. A GPU-accelerated Monte-Carlo algorithm, which considers the multiple-scattering effects of light, is applied to reconstruct the light field of the ejecta and simulate the corresponding PDV spectrum. The influence of the velocity profile, total area mass, and particle size of the ejecta on the simulated spectra is discussed qualitatively. To facilitate a quantitative discussion, a novel theoretical optical model is proposed in which the single-scattering assumption is applied. With this model, the relationships between the particle parameters of ejecta and the peak information of the PDV spectrum are derived, enabling direct extraction of the particle parameters from the PDV spectrum. The values of the ejecta parameters estimated from the experimental spectrum are in good agreement with those measured by a piezoelectric probe.