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Quantifying Experimental Edge Plasma Evolution Via Multidimensional Adaptive Gaussian Process Regression

Journal Article · · IEEE Transactions on Plasma Science

Not provided.

Research Organization:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
SC0014264
OSTI ID:
1980563
Journal Information:
IEEE Transactions on Plasma Science, Journal Name: IEEE Transactions on Plasma Science Journal Issue: 12 Vol. 49; ISSN 0093-3813
Publisher:
IEEE
Country of Publication:
United States
Language:
English

References (16)

Bayesian soft X-ray tomography using non-stationary Gaussian Processes journal August 2013
Improved understanding of physics processes in pedestal structure, leading to improved predictive capability for ITER journal August 2013
Thomson scattering upgrades on Alcator C-Mod journal March 2003
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness book January 2008
Integrated Data Analysis of Profile Diagnostics at ASDEX Upgrade journal October 2010
Scrape-off layer (SOL) power width scaling and correlation between SOL and pedestal gradients across L, I and H-mode plasmas at ASDEX Upgrade journal February 2020
Access to pedestal pressure relevant to burning plasmas on the high magnetic field tokamak Alcator C-Mod journal September 2018
I-mode: an H-mode energy confinement regime with L-mode particle transport in Alcator C-Mod journal August 2010
Chapter 2: Plasma confinement and transport journal June 2007
Spatial modelling using a new class of nonstationary covariance functions journal January 2006
Role of transport versus fueling upon pedestal density report October 2019
Dynamical evolution of pedestal parameters in ELMy H-mode in the National Spherical Torus Experiment journal September 2011
Gaussian Processes for Machine Learning book January 2005
Pedestal stability comparison and ITER pedestal prediction journal July 2009
Progress in quantifying the edge physics of the H mode regime in DIII-D journal December 2001
Improved profile fitting and quantification of uncertainty in experimental measurements of impurity transport coefficients using Gaussian process regression journal January 2015

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