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Proceedings Paper

Deconvolution uncertainty for power sensors at the National Ignition Facility
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Paper Abstract

We used a Monte Carlo method to generate error bars for deconvolved measurements from diagnostics on the National Ignition Facility (NIF). Through a process of masking and normalization of the diagnostic system’s known Impulse Response Function (IRF), we were able to diminish the deconvolved measurement error for all points of the waveform by a factor of < 2. This technique is generally applicable to deconvolutions with measured IRFs.

Paper Details

Date Published: 4 March 2019
PDF: 4 pages
Proc. SPIE 10898, High Power Lasers for Fusion Research V, 108980Q (4 March 2019); doi: 10.1117/12.2511521
Show Author Affiliations
Dominic M. Carrano, Lawrence Livermore National Lab. (United States)
Univ. of California, Berkeley (United States)
Ryan D. Muir, Lawrence Livermore National Lab. (United States)

Published in SPIE Proceedings Vol. 10898:
High Power Lasers for Fusion Research V
Abdul A. S. Awwal; Constantin L. Haefner, Editor(s)

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