Application of the Stockwell Transform for Analysis of Experimental Data of the Tokamak MHD Diagnostics

The application of the computational algorithm based on the Stockwell transform for the analysis of experimental data of MHD diagnostics in a tokamak is presented. The capability to apply this method for analyzing the dynamics of multimode tearing instability is demonstrated, in particular, for denoising signals, analyzing the dynamics of components of the initial multicomponent signal, time–frequency analysis of cross-phase correlation of sensor signals, and determining the spatial structure of an individual MHD perturbation component.

Authors

Institutions

Publication Details

Journal
Physics of Atomic Nuclei
Published
2025-12-01
DOI
https://doi.org/10.1134/s1063778825140054
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of the Stockwell Transform for Analysis of Experimental Data of the Tokamak MHD Diagnostics

N. V. Ivanov, A. M. Kakurin
Physics of Atomic Nuclei
Magnetic confinement fusion research
article

Application of the Stockwell Transform for Analysis of Experimental Data of the Tokamak MHD Diagnostics

N. V. Ivanov, A. M. Kakurin
article en

Abstract

The application of the computational algorithm based on the Stockwell transform for the analysis of experimental data of MHD diagnostics in a tokamak is presented. The capability to apply this method for analyzing the dynamics of multimode tearing instability is demonstrated, in particular, for denoising signals, analyzing the dynamics of components of the initial multicomponent signal, time–frequency analysis of cross-phase correlation of sensor signals, and determining the spatial structure of an individual MHD perturbation component.

Physics of Atomic NucleiVol. 88(S2)
Kurchatov Institute (RU)
Openalex Percentile: Top 18%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.