Quantification and visualization of uncertainties in reconstructed penumbral images of implosions at Omega
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24ja060_full.pdf
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Author(s)
Kunimune, Justin H.
Heuer, P.V.
Reichelt, Benjamin L.
Johnson, Timothy M.
Frenje, Johan A.
Date Issued
June 2024
Journal
Review of Scientific Instruments
Publisher
AIP
Abstract
Penumbral imaging is a technique used in plasma diagnostics in which a radiation source shines through one or more large apertures onto a detector. To interpret a penumbral image, one must reconstruct it to recover the original source. The inferred source always has some error due to noise in the image and uncertainty in the instrument geometry. Interpreting the inferred source thus requires quantification of that inference’s uncertainty. Markov chain Monte Carlo algorithms have been used to quantify uncertainty for similar problems but have never been used for the inference of the shape of an image. Because of this, there are no commonly accepted ways of visualizing uncertainty in two- dimensional data. This paper demonstrates the application of the Hamiltonian Monte Carlo algorithm to the reconstruction of penumbral images of fusion implosions and presents ways to visualize the uncertainty in the reconstructed source. This methodology enables more rigorous analysis of penumbral images than has been done in the past.
Description
Submitted for publication in Review of Scientific Instruments
MIT Department
Massachusetts Institute of Technology. Plasma Science and Fusion Center
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1063/5.0214641
