@article{7f97751266da4233819d3fb95aed7cfd,
title = "Robust impurity detection and tracking for tokamaks",
abstract = "A robust impurity detection and tracking code, able to generate large sets of dust tracks from tokamak camera footage, is presented. This machine learning-based code is tested with cameras from the Joint European Torus, Doublet-III-D, and Magnum-PSI and is able to generate dust tracks with a 65-100% classification accuracy. Moreover, the number dust particles detected from a single camera shot can be up to the order of 1000. Several areas of improvement for the code are highlighted, such as generating more significant training data sets and accounting for selection biases. Although the code is tested with dust in single two-dimensional camera views, it could easily be applied to multiple-camera stereoscopic reconstruction or nondust impurities.",
author = "C. Cowley and P. Fuller and Y. Andrew and L. James and L. Simons and M. Sertoli and S. Silburn and A. Widdowson and {Jet Contributors}, Contributors and I. Bykov and D. Rudakov and T. Morgan and S. Brons and J. Scholten and J. Vernimmen and P. Bryant and B. Harris",
note = "Funding Information: We thank Michael Coppins for his expert supervision and advice that helped shape the direction for the RIDAT code. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under Grant No. 633053. We acknowledge the support of the Magnum-PSI Facility Team at DIFFER. The Magnum-PSI facility at DIFFER has been funded by the Netherlands Organisation for Scientific Research (NWO) and EURATOM. The views and opinions expressed herein do not necessarily reflect those of the European Commission. This work was supported in part by the U.S. Department of Energy under DE-FC02-04ER54698 and DE-FG02-07ER5491. This work was supported in part by the Engineering and Physical Sciences Research Council, under Grant No. EP/M001709/1. For the contribution to the M-PSI dust experiment, we thank Professor S. Ratynskaia [Space & Plasma Physics, School of Electrical Engineering Royal Institute of Technology (KTH) Stockholm, Sweden] and Marco De Angeli [Institute for Plasma Science and Technology (ISTP) Milan Italy]. Publisher Copyright: {\textcopyright} 2020 American Physical Society.",
year = "2020",
month = oct,
doi = "10.1103/PhysRevE.102.043311",
language = "English (US)",
volume = "102",
journal = "Physical Review E",
issn = "2470-0045",
publisher = "American Physical Society",
number = "4",
}