Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

475
Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....
475
Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

402
AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
402
Inductively Coupled Plasma Atomic Emission Spectroscopy: Principle01:19

Inductively Coupled Plasma Atomic Emission Spectroscopy: Principle

1.3K
Inductively coupled plasma (ICP) is the most widely used plasma source in atomic emission spectroscopy (AES), also known as Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES). The ICP source, or torch, consists of three concentric quartz tubes with argon gas flowing through them. A spark from a Tesla coil initiates the ionization of argon, generating a high-temperature plasma.
The ions and electrons produced interact with the fluctuating magnetic field created by a water-cooled...
1.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Assessment of Neutron Radiation Effects on the Fiber Optics Current Sensor Performance During JET DTE2 Experimental Campaign.

Sensors (Basel, Switzerland)·2025
Same author

A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors.

Nature communications·2024
Same author

Performance Enhancement of the Polarimetric Fibre Optical Current Sensor at JET Using Polarisation Optimisation.

Sensors (Basel, Switzerland)·2024
Same author

Effects of environmental conditions on COVID-19 morbidity as an example of multicausality: a multi-city case study in Italy.

Frontiers in public health·2023
Same author

Distributed Poloidal Magnetic Field Measurement in Tokamaks Using Polarization-Sensitive Reflectometric Fiber Optic Sensor.

Sensors (Basel, Switzerland)·2023
Same author

On the Potential of Relational Databases for the Detection of Clusters of Infection and Antibiotic Resistance Patterns.

Antibiotics (Basel, Switzerland)·2023

Related Experiment Video

Updated: Nov 27, 2025

Applying X-ray Imaging Crystal Spectroscopy for Use as a High Temperature Plasma Diagnostic
06:46

Applying X-ray Imaging Crystal Spectroscopy for Use as a High Temperature Plasma Diagnostic

Published on: August 25, 2016

11.6K

Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics.

Teddy Craciunescu1,2, Andrea Murari2,3,4, Ernesto Lerche2,5

  • 1EUROfusion Consortium, JET, Culham Science Centre, Abingdon OX14 3DB, UK.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary

This study introduces novel image-based time series analysis methods to evaluate fusion plasma instability control. These techniques, including novel Markov Transition Matrix variations, improve the assessment of pace-making strategies for tokamaks.

Keywords:
Gramian angular fieldMarkov transition fieldchaos game representationcomplex networksentropypacing experimentssawteethtokamaks

More Related Videos

Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses
11:20

Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses

Published on: July 2, 2012

15.3K
Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

1.7K

Related Experiment Videos

Last Updated: Nov 27, 2025

Applying X-ray Imaging Crystal Spectroscopy for Use as a High Temperature Plasma Diagnostic
06:46

Applying X-ray Imaging Crystal Spectroscopy for Use as a High Temperature Plasma Diagnostic

Published on: August 25, 2016

11.6K
Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses
11:20

Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses

Published on: July 2, 2012

15.3K
Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

1.7K

Area of Science:

  • Fusion energy research
  • Plasma physics
  • Time series analysis

Background:

  • Advanced time series analysis and causality detection are crucial for assessing synchronization experiments in tokamaks.
  • Lag synchronization is a key strategy for controlling fusion plasma instabilities using pace-making techniques.
  • Evaluating pace-making efficiency is challenging due to causal effects coexisting with plasma instability periodicity.

Purpose of the Study:

  • To investigate image representation methods for evaluating the efficiency of pace-making techniques in fusion plasma control.
  • To introduce and assess novel image-based approaches for analyzing time series data from tokamak experiments.

Main Methods:

  • Utilized Gramian Angular Field (GAF), Markov Transition Field (MTF), and Chaos Game Representation (CGR) for time series image representation.
  • Proposed an original variation of the Markov Transition Matrix for analyzing coupled time series.
  • Incorporated a cross-visibility network mapping method to represent time series as images.

Main Results:

  • Evaluated the performance of GAF, MTF, CGR, and the novel Markov Transition Matrix variation on synthetic data.
  • Applied the developed methods to analyze real-world data from JET tokamak experiments.
  • Demonstrated the potential of image-based time series analysis for assessing fusion plasma control strategies.

Conclusions:

  • Image representation techniques offer a promising avenue for evaluating the effectiveness of pace-making in fusion plasma control.
  • The proposed methods, including the novel Markov Transition Matrix, provide valuable tools for analyzing complex plasma dynamics.
  • Successful application to JET data highlights the practical utility of these advanced analytical approaches in fusion research.