114 citations · 499 across the 15 of their papers we have counts for
5 papers · 1 filter
Two step clustering for data reduction combining DBSCAN and k-means clustering
Bart J. J. Kremers, Aaron Ho, Jonathan Citrin +1
A novel combination of two widely-used clustering algorithms is proposed here for the detection and reduction of high data density regions. The Density Based Spatial Clustering of…
The data-driven future of high energy density physics
Peter W. Hatfield, Jim A. Gaffney, Gemma J. Anderson +20
The study of plasma physics under conditions of extreme temperatures, densities and electromagnetic field strengths is significant for our understanding of astrophysics, nuclear fu…
Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling
Aaron Ho, Jonathan Citrin, Fulvio Auriemma +7
This paper outlines an approach towards improved rigour in tokamak turbulence transport model validation within integrated modelling. Gaussian process regression (GPR) techniques w…
Neural network surrogate of QuaLiKiz using JET experimental data to populate training space
Aaron Ho, Jonathan Citrin, Clarisse Bourdelle +5
Within integrated tokamak plasma modelling, turbulent transport codes are typically the computational bottleneck limiting their routine use outside of post-discharge analysis. Neur…
Quasilinear gyrokinetic theory: A derivation of QuaLiKiz
Cole Darin Stephens, Xavier Garbet, Jonathan Citrin +3
In order to predict and analyze turbulent transport in tokamaks, it is important to model transport that arises from microinstabilities. For this task, quasilinear codes have been…