Spectroscopically Characterizing Radiation Flow in Stochastic Media

ORAL

Abstract

Precise characterization of radiation flow experiments is required to distinguish among transport models. Cassio radiation-hydrodynamics simulations are used to design experimental platforms at the OMEGA Laser Facility that can measure the radiation flow using the spatially-resolved COAX absorption spectroscopy diagnostic. The simulations model radiation flow through stochastic media foam configurations containing optically thick clumps that are heterogeneously dispersed within an optically thin background aerogel. The radiation flow can be characterized within inhomogeneous configurations (specific initial conditions of a stochastic media), within homogeneous foams containing the same amount of component particles as the inhomogeneous configurations, and within the background-only material. Spectroscopy measurements are obtained of both the optically thick clumps and optically thin background, simultaneously.

*This work was supported by the U.S. Department of Energy (DOE) contract number 89233218CNA000001 for Los Alamos National Laboratory, owned by Triad National Security, LLC, for the U.S. DOE's NNSA.

Publication: C. L. Fryer, et al., HEDP 35, 100738 (2020). H. M. Johns, et al., HEDP 39, 100939 (2021). P. M. Kozlowski, et al., RSI 92, 033532 (2021). S. X. Coffing, et al., PoP 29, 083302 (2022). C. L. Fryer, et al., HEDP 46, 101023 (2023). T. Byvank, et al., PoP, in preparation.

Presenters

  • Tom Byvank

    • Los Alamos National Laboratory

Authors

  • Tom Byvank

    • Los Alamos National Laboratory
  • Pawel M Kozlowski

    • LANL
  • Heather M Johns

    • Los Alamos Natl Lab
  • Shane X Coffing

    • Los Alamos National Laboratory
  • Chris L Fryer

    • Los Alamos National Laboratory
  • Dominic A Lioce

    • Los Alamos National Laboratory
  • Christopher J Fontes

    • Los Alamos National Laboratory
  • Daniel H Barnak

    • Laboratory for Laser Energetics
    • University of Rochester
  • Dzafer Camdzic

    • Los Alamos National Laboratory
  • Ahmed T Elshafiey

    • LANL
  • David D Meyerhofer

    • Los Alamos National Laboratory
  • Todd J Urbatsch

    • Los Alamos National Laboratory