A Simulation-Driven Approach to Infer Hot-Spot Conditions in Inertial Confinement Fusion Implosions

ORAL

Abstract

A 3-D reconstruction of the hot spot of inertial fusion implosion is carried out using a new simulation-driven approach that enables a more-complete inference of hot-spot conditions including the effect of quasi-isotropic flows on apparent ion temperatures. This simulation-driven reconstruction provides a way to determine the consistency of areal density (rR) measurements when the shell mass uniformity is significantly degraded by low modes. This technique uses a set of experimental signatures including neutron yields, apparent ion temperatures and areal densities measured at different lines of sight, as well as hot-spot shape information from x-ray images. All measurements are simultaneously reconstructed using the 3-D deceleration-phase simulation inertial confinement fusion code DEC3D. Both 1-D initial conditions at the onset of the deceleration phase and 3-D initial perturbations are optimized by the gradient descent algorithm. Reasonable agreements between reconstructed and measured observables including neutron yields and rR are obtained. This material is supported by the Department of Energy National Nuclear Security Administration under Award No. DE-NA0003856.

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Presenters

  • Ka Ming M Woo

    • Lab for Laser Energetics
    • University of Rochester
    • Laboratory for Laser Energetics, U. of Rochester
    • Laboratory for Laser Energetics, University of Rochester

Authors

  • Ka Ming M Woo

    • Lab for Laser Energetics
    • University of Rochester
    • Laboratory for Laser Energetics, U. of Rochester
    • Laboratory for Laser Energetics, University of Rochester

  • Riccardo Betti

    • University of Rochester
    • University of Rochester, Laboratory for Laser Energetics
    • Laboratory for Laser Energetics, U. of Rochester
    • Laboratory for Laser Energetics, University of Rochester

  • Cliff A Thomas

    • University of Rochester
    • Laboratory for Laser Energetics, U. of Rochester
    • Laboratory for Laser Energetics, University of Rochester

  • Christian Stoeckl

    • University of Rochester
    • Laboratory for Laser Energetics, U. of Rochester
    • Laboratory for Laser Energetics, University of Rochester

  • Kristen Churnetski

    • University of Rochester
    • Laboratory for Laser Energetics, U. of Rochester
    • Laboratory for Laser Energetics, University of Rochester

  • Chad J Forrest

    • Laboratory for Laser Energetics
    • Laboratory for Laser Energetics, University of Rochester
    • University of Rochester
    • Laboratory for Laser Energetics at the University of Rochester
    • Laboratory for Laser Energetics, U. of Rochester

  • Rahul C Shah

    • Laboratory for Laser Energetics - Rochester
    • Laboratory for Laser Energetics, U. of Rochester
    • University of Rochester
    • Laboratory for Laser Energetics, University of Rochester

  • Duc Cao

    • Laboratory for Laser Energetics, U. of Rochester
    • U. Rochester/LLE
    • Laboratory for Laser Energetics, University of Rochester
    • University of Rochester

  • Timothy J Collins

    • Laboratory for Laser Energetics, University of Rochester
    • University of Rochester, Laboratory for Laser Energetics
    • Laboratory for Laser Energetics, U. of Rochester

  • Varchas Gopalaswamy

    • Laboratory for Laser Energetics - Rochester
    • Laboratory for Laser Energetics, U. of Rochester
    • University of Rochester
    • Laboratory for Laser Energetics, University of Rochester

  • James P Knauer

    • University of Rochester
    • Laboratory for Laser Energetics, U. of Rochester
    • Laboratory for Laser Energetics, University of Rochester

  • Wolfgang R Theobald

    • University of Rochester
    • Laboratory for Laser Energetics, University of Rochester
    • Laboratory for Laser Energetics, U. of Rochester