Bootstrap estimation of the effect of instrument response function uncertainty on the reconstruction of fusion neutron sources
Abstract
Neutron imagers are important diagnostics for the inertial confinement fusion implosions at the National Ignition Facility. They provide two- and three-dimensional reconstructions of the neutron source shape that are key indicators of the overall performance. To interpret the shape results properly, it is critical to estimate the uncertainty in those reconstructions. There are two main sources of uncertainties: limited neutron statistics, leading to random errors in the reconstructed images, and incomplete knowledge of the instrument response function (the pinhole-dependent point spread function). While the statistical errors dominate the uncertainty for lower yield deuterium-tritium (DT) shots, errors due to the instrument response function dominate the uncertainty for DT yields on the order of 1016 neutrons or higher. In this work, a bootstrapping method estimates the uncertainty in a reconstructed image due to the incomplete knowledge of the instrument response function. The main reconstruction is created from the fixed collection of pinhole images that are best aligned with the neutron source. Additional reconstructions are then built using subsets of that collection of images. Variations in the shapes of these additional reconstructions originate solely from uncertainties in the instrument response function, allowing us to use them to provide an additional systematic uncertainty estimate.
- Authors:
-
[1];
[1];
[1];
[1];
[2];
[2];
[1];
[2];
[1];
[2];
[1]
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1868258
- Alternate Identifier(s):
- OSTI ID: 1864086; OSTI ID: 1873642
- Report Number(s):
- LA-UR-22-20005; LLNL-JRNL-831212
Journal ID: ISSN 0034-6748; TRN: US2306619
- Grant/Contract Number:
- 89233218CNA000001; AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Review of Scientific Instruments
- Additional Journal Information:
- Journal Volume: 93; Journal Issue: 4; Journal ID: ISSN 0034-6748
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION; neutron sources; metrology; image processing; electronic noise; tritium; plasma confinement; signal processing; scintillators; deuterium; data science
Citation Formats
Lamb, Kevin Matthew, Geppert-Kleinrath, Verena, Birge, Noah Watson, Danly, Christopher Russell, Divol, Laurent, Fittinghoff, David N., Freeman, Matthew Stouten, Pak, Arthur E., Wilde, Carl Huerstel, Zylstra, Alex B., and Volegov, Petr L. Bootstrap estimation of the effect of instrument response function uncertainty on the reconstruction of fusion neutron sources. United States: N. p., 2022.
Web. doi:10.1063/5.0086450.
Lamb, Kevin Matthew, Geppert-Kleinrath, Verena, Birge, Noah Watson, Danly, Christopher Russell, Divol, Laurent, Fittinghoff, David N., Freeman, Matthew Stouten, Pak, Arthur E., Wilde, Carl Huerstel, Zylstra, Alex B., & Volegov, Petr L. Bootstrap estimation of the effect of instrument response function uncertainty on the reconstruction of fusion neutron sources. United States. https://doi.org/10.1063/5.0086450
Lamb, Kevin Matthew, Geppert-Kleinrath, Verena, Birge, Noah Watson, Danly, Christopher Russell, Divol, Laurent, Fittinghoff, David N., Freeman, Matthew Stouten, Pak, Arthur E., Wilde, Carl Huerstel, Zylstra, Alex B., and Volegov, Petr L. Thu .
"Bootstrap estimation of the effect of instrument response function uncertainty on the reconstruction of fusion neutron sources". United States. https://doi.org/10.1063/5.0086450. https://www.osti.gov/servlets/purl/1868258.
@article{osti_1868258,
title = {Bootstrap estimation of the effect of instrument response function uncertainty on the reconstruction of fusion neutron sources},
author = {Lamb, Kevin Matthew and Geppert-Kleinrath, Verena and Birge, Noah Watson and Danly, Christopher Russell and Divol, Laurent and Fittinghoff, David N. and Freeman, Matthew Stouten and Pak, Arthur E. and Wilde, Carl Huerstel and Zylstra, Alex B. and Volegov, Petr L.},
abstractNote = {Neutron imagers are important diagnostics for the inertial confinement fusion implosions at the National Ignition Facility. They provide two- and three-dimensional reconstructions of the neutron source shape that are key indicators of the overall performance. To interpret the shape results properly, it is critical to estimate the uncertainty in those reconstructions. There are two main sources of uncertainties: limited neutron statistics, leading to random errors in the reconstructed images, and incomplete knowledge of the instrument response function (the pinhole-dependent point spread function). While the statistical errors dominate the uncertainty for lower yield deuterium-tritium (DT) shots, errors due to the instrument response function dominate the uncertainty for DT yields on the order of 1016 neutrons or higher. In this work, a bootstrapping method estimates the uncertainty in a reconstructed image due to the incomplete knowledge of the instrument response function. The main reconstruction is created from the fixed collection of pinhole images that are best aligned with the neutron source. Additional reconstructions are then built using subsets of that collection of images. Variations in the shapes of these additional reconstructions originate solely from uncertainties in the instrument response function, allowing us to use them to provide an additional systematic uncertainty estimate.},
doi = {10.1063/5.0086450},
journal = {Review of Scientific Instruments},
number = 4,
volume = 93,
place = {United States},
year = {Thu Apr 21 00:00:00 EDT 2022},
month = {Thu Apr 21 00:00:00 EDT 2022}
}
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