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Robust regression on noisy data for fusion scaling laws

Journal Article · · Review of Scientific Instruments
DOI:https://doi.org/10.1063/1.4890403· OSTI ID:22308659
 [1]
  1. Department of Applied Physics, Ghent University, B-9000 Ghent (Belgium)

We introduce the method of geodesic least squares (GLS) regression for estimating fusion scaling laws. Based on straightforward principles, the method is easily implemented, yet it clearly outperforms established regression techniques, particularly in cases of significant uncertainty on both the response and predictor variables. We apply GLS for estimating the scaling of the L-H power threshold, resulting in estimates for ITER that are somewhat higher than predicted earlier.

OSTI ID:
22308659
Journal Information:
Review of Scientific Instruments, Journal Name: Review of Scientific Instruments Journal Issue: 11 Vol. 85; ISSN 0034-6748; ISSN RSINAK
Country of Publication:
United States
Language:
English

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