Designing Radiation Transport Tests: Simulation-Driven Uncertainty-Quantification of the COAX Temperature Diagnostic

TL;DR

This paper develops simulation-based methods to quantify uncertainties in the COAX temperature diagnostic, aiding the validation of radiation transport models in coupled radiation-hydrodynamics experiments.

Contribution

It introduces a simulation-driven approach to assess and improve the accuracy of temperature diagnostics in radiation transport experiments.

Findings

Simulation studies reveal dominant sources of error in temperature measurements.

Proposed experiments can distinguish between different transport models.

Uncertainty quantification enhances the reliability of diagnostic interpretations.

Abstract

One of the difficulties in developing accurate numerical models of radiation flow in a coupled radiation-hydrodynamics setting is accurately modeling the transmission across a boundary layer. The COAX experiment is a platform design to test this transmission including standard radiograph and flux diagnostics as well as a temperature diagnostic measuring the population of excitation levels and ionization states of a dopant embedded within the target material. Using a broad range of simulations, we study the experimental errors in this temperature diagnostic. We conclude with proposed physics experiments that show features that are much stronger than the experimental errors and provide the means to study transport models.