Detection of Causal Relations in Time Series Affected by Noise in Tokamaks Using Geodesic Distance on Gaussian Manifolds

Detection of Causal Relations in Time Series Affected by Noise in Tokamaks Using Geodesic Distance on Gaussian Manifolds

Abstract: Modern experiments in Magnetic Confinement Nuclear Fusion can produce Gigabytes of data, mainly in form of time series. The acquired signals, composing massive databases, are typically affected by significant levels of noise. The interpretation of the time series can therefore become quite...

Full description

Bibliographic Details
Main Authors: Andrea Murari, Teddy Craciunescu, Emmanuele Peluso, Michela Gelfusa, JET Contributors
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Entropy
Subjects:
information geometry
geodesic distance on Gaussian manifolds
recurrence plots
complex networks
ELMs
sawteeth
pacing experiments
Tokamaks
entropy
Online Access:https://www.mdpi.com/1099-4300/19/10/569

Internet

https://www.mdpi.com/1099-4300/19/10/569

Similar Items