Name
Title | ||
|---|---|---|
High-Level Analysis of Flux Measurements in Tokamak Machines for Clustering and Unsupervised Feature Selection |
Abstract | ||
|---|---|---|
Plasma physics is an example of research field where many measurements carried out at very specific working conditions need to be collected and processed. By looking at the properties of these data, it can be possible to explore their hidden features in order to solve challenging problems that usually require high computational efforts, such as the tomographic reconstruction. In this paper, preliminary but nontrivial analyses of flux measurements produced in a Tokamak machine are shown and discussed, with the aim of introducing an application of some algorithms for feature selection to detect hidden, relevant relationships within given sets of channels. All the statistical details, and therefore the feature selection procedure itself, are introduced in view of further deepenings, such as the aforementioned problem of tomographically reconstructing plasma profiles from flux measurements or modelling the system in terms of its input-output relationship. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/CoDIT49905.2020.9263861 | 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) |
Keywords | DocType | Volume |
Data mining,Fractal dimension,Plasma current,Signal filtering | Conference | 1 |
ISSN | ISBN | Citations |
2576-3547 | 978-1-7281-5954-6 | 0 |
PageRank | References | Authors |
0.34 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo Giuseppe Spinosa | 1 | 0 | 0.34 |
| Matteo Iafrati | 2 | 0 | 0.34 |
| g mazzitelli | 3 | 0 | 1.69 |
| Paolo Arena | 4 | 261 | 47.43 |
| Arturo Buscarino | 5 | 101 | 26.01 |
| Luigi Fortuna | 6 | 761 | 128.37 |