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Proceedings Paper

Adaptation of a cubic smoothing spline algorithm for multi-channel data stitching at the National Ignition Facility
Author(s): Charles G. Brown Jr.; Aaron B. Adcock; Stephen G. Azevedo; Judith A. Liebman; Essex J. Bond
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Paper Abstract

Some diagnostics at the National Ignition Facility (NIF), including the Gamma Reaction History (GRH) diagnostic, require multiple channels of data to achieve the required dynamic range. These channels need to be stitched together into a single time series, and they may have non-uniform and redundant time samples. We chose to apply the popular cubic smoothing spline technique to our stitching problem because we needed a general non-parametric method. We adapted one of the algorithms in the literature, by Hutchinson and deHoog, to our needs. The modified algorithm and the resulting code perform a cubic smoothing spline fit to multiple data channels with redundant time samples and missing data points. The data channels can have different, timevarying, zero-mean white noise characteristics. The method we employ automatically determines an optimal smoothing level by minimizing the Generalized Cross Validation (GCV) score. In order to automatically validate the smoothing level selection, the Weighted Sum-Squared Residual (WSSR) and zero-mean tests are performed on the residuals. Further, confidence intervals, both analytical and Monte Carlo, are also calculated. In this paper, we describe the derivation of our cubic smoothing spline algorithm. We outline the algorithm and test it with simulated and experimental data.

Paper Details

Date Published: 18 February 2011
PDF: 8 pages
Proc. SPIE 7916, High Power Lasers for Fusion Research, 79160P (18 February 2011); doi: 10.1117/12.878918
Show Author Affiliations
Charles G. Brown Jr., Lawrence Livermore National Lab. (United States)
Aaron B. Adcock, Lawrence Livermore National Lab. (United States)
Stanford Univ. (United States)
Stephen G. Azevedo, Lawrence Livermore National Lab. (United States)
Judith A. Liebman, Lawrence Livermore National Lab. (United States)
Essex J. Bond, Lawrence Livermore National Lab. (United States)


Published in SPIE Proceedings Vol. 7916:
High Power Lasers for Fusion Research
Abdul A. S. Awwal; A. Mike Dunne; Hiroshi Azechi; Brian E. Kruschwitz, Editor(s)

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