Physics-informed multiprobe instrument for IFE experiments (PiMIX)

POSTER

Abstract

The record-setting MJ neutron yield in the recent NIF experiment opened up a new chapter in burning plasma science and technology. Here we discuss new possibilities that leverage this unprecedented regime of high-energy density laboratory plasmas to advance physics-informed multiprobe instrument (PiMIX), data handling and data interpretation capabilities for IFE experiments. In addition to reconstruction of 3D ICF target implosion movies, our goal is to achieve high-resolution density measurement in the range of one to ten microns, ideally with sub-ns temporal resolution to produce the movies of implosion dynamics. PiMIX will combine multiple-energy photon (X-rays and gamma rays, for example) imaging with neutron and proton measurements to achieve higher information yield than individual diagnostics alone. Initial proof-of-principle measurements will leverage existing LANL and collaborating facilities, new detector capabilities through fast scintillators, perovskites, high-speed imaging sensors, and metamaterial structures. Existing and new data will become available for machine-learning algorithm development and validation. Machine learning and especially physics-informed data-driven algorithms will aim at a unified data pipeline for heterogeneous data processing, constrained by physics models, statistics and the compressed sensing framework.

*This work is supported in part by the U.S. Department of Energy through the Los Alamos National Laboratory. Los Alamos National Laboratory is operated by Triad National Security, LLC, for the National Nuclear Security Administration of U.S. Department of Energy (Contract No. 89233218CNA000001)

Presenters

  • Zhehui Wang

    • Los Alamos Natl Lab
    • LANL
    • Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA

Authors

  • Zhehui Wang

    • Los Alamos Natl Lab
    • LANL
    • Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
  • Karl M Krushelnick

    • University of Michigan
  • Mark A Foster

    • Johns Hopkins University
  • Jinsong Huang

    • University of North Carolina at Chapel Hill
  • Renyuan Zhu

    • California Institute of Technology
  • Liyuan Zhang

    • California Institute of Technology
  • Eric R Fossum

    • Dartmouth College
  • Jifeng Liu

    • Dartmouth College
  • Francis Alexander

    • Brookhaven National Laboratory
  • Abul K Azad

    • Los Alamos National Laboratory
  • Steven H Batha

    • Los Alamos Natl Lab
  • Gabriella Carini

    • Brookhaven National Laboratory
  • Matthew Freeman

    • Los Alamos National Laboratory
  • Haixin Huang

    • Brookhaven National Laboratory
  • Paul A Keiter

    • Los Alamos National Laboratory
  • John L Kline

    • Los Alamos Natl Lab
  • Wenting Li

    • Los Alamos National Laboratory
  • Eric N Loomis

    • Los Alamos Natl Lab
    • Los Alamos National Laboratory
  • David S Montgomery

    • Los Alamos National Lab
    • Los Alamos Natl Lab
    • Los Alamos National Laboratory
  • Nga T Nguyen-Fotiadis

    • Los Alamos National Laboratory
  • Sasi Palaniyappan

    • Los Alamos National Laboratory
    • Los Alamos Natl Lab
    • Los Alamos National Lab
  • Robert E Reinovsky

    • Los Alamos Natl Lab
    • Los Alamos National Lab
  • Joshua P Sauppe

    • Los Alamos National Laboratory
    • LANL
  • Jack S Shlachter

    • Brookhaven National Laboratory
  • Sky K Sjue

    • Los Alamos Natl Lab
  • Xin Yue

    • Dartmouth College
  • Sven Vogel

    • Los Alamos National Laboratory
  • Bradley Wolfe

    • Los Alamos National Laboratory
    • Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
  • Dmitry A Yarotski

    • Los Alamos National Laboratory