Data analysis techniques: Difference between revisions

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This pages collects information on data analysis techniques used in fusion research.
This page collects information on data analysis techniques used in fusion research.


== Temporal analysis ==
== Temporal analysis ==
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=== Linear analysis ===
=== Linear analysis ===


* Correlation
* [[:Wikipedia:Correlation|Correlation]] analysis
* Fourier analysis
* [[:Wikipedia:Fourier transform|Fourier]] analysis
* Wavelet analysis
* [[:Wikipedia:Wavelet|Wavelet]] analysis
* Conditional analysis
* Conditional analysis <ref>I. Teliban, D. Block, A. Piel and F. Greiner, ''Improved conditional averaging technique for plasma fluctuation diagnostics'', [[doi:10.1088/0741-3335/49/4/011|Plasma Phys. Control. Fusion '''49'''(2007) 485–497]]</ref>
* Probability distributions
* Probability distribution, [[:Wikipedia:Cumulative distribution function|Cumulative distribution function]] (rank)
* [[:Wikipedia:Rescaled range|Rescaled range]] or Hurst analysis; Structure functions


=== Non-linear analysis ===
=== Non-linear analysis ===


* [[:Wikipedia:Bicoherence|Bicoherence]] analysis
* [[Bicoherence]], bispectrum
* Chaos analysis (attractors, fractional dimensions)
* Chaos analysis ([[:Wikipedia:Attractor|Strange attractor]], [[:Wikipedia:Fractal dimension|Fractal dimension]], [[:Wikipedia:Mutual information|Mutual information]], [[:Wikipedia:Lyapunov exponent|Lyapunov exponent]], [[Intermittence]])
* [[:Wikipedia:Hilbert-Huang transform|Hilbert-Huang transform]]
* [[:Wikipedia:Hilbert-Huang transform|Hilbert-Huang transform]] <ref>N. Huang and S. Shen, ''Hilbert-Huang transform and its applications'' (World Scientific, London, 2005) {{ISBN|978-9812563767}}</ref><ref>B.A. Carreras et al., ''Reconstruction of intermittent waveforms associated with the zonal flow at the transition leading to the edge shear flow layer'', [[doi:10.1088/0029-5515/51/5/053022|Nucl. Fusion '''51''' (2011) 053022]]</ref>
 
=== Self-similarity ===
 
* [[:Wikipedia:Rescaled range|Rescaled range]] or [[:Wikipedia:Hurst exponent|Hurst]] analysis; Structure functions
* Waiting times, quiet times <ref>R. Sánchez et al., ''Quiet-time statistics: A tool to probe the dynamics of self-organized-criticality systems from within the strong overlapping regime'',  [[doi:10.1103/PhysRevE.66.036124|Phys. Rev. E '''66''', 036124 (2002)]]</ref>
 
=== Causality ===
 
* [[Causality detection]]<ref>B.Ph. van Milligen, G. Birkenmeier, M. Ramisch, T. Estrada, C. Hidalgo, and A. Alonso, ''Causality detection and turbulence in fusion plasmas'', [[doi:10.1088/0029-5515/54/2/023011|Nucl. Fusion '''54''' (2014), 023011]]</ref>: the determination of a causal interaction between two fluctuating variables, based on, e.g., the Transfer Entropy


== Spatial analysis ==
== Spatial analysis ==
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== Spatio-temporal analysis ==
== Spatio-temporal analysis ==


* Biorthogonal decomposition
* [[Biorthogonal decomposition]] <ref>B.Ph. van Milligen, E. Sánchez, A. Alonso, M.A. Pedrosa, C. Hidalgo, A. Martín de Aguilera, A. López Fraguas, ''The use of the Biorthogonal Decomposition for the identification of zonal flows at TJ-II'', [[doi:10.1088/0741-3335/57/2/025005|Plasma Phys. Control. Fusion '''57''', 2 (2015) 025005]]</ref>


== Image analysis ==
== Image analysis ==
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* Twodimensional wavelet analysis
* Twodimensional wavelet analysis
* Event detection using thresholding
* Event detection using thresholding
* Optical flow (for movies)
* [[:Wikipedia:Optical flow|Optical flow]] (for movies)


== Integrated data analysis ==
== Integrated data analysis ==
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The goal of integrated data analysis is to combine the information from a set of diagnostics providing complementary information in order to recover the best possible reconstruction of the actual state of the system subjected to measurement.
The goal of integrated data analysis is to combine the information from a set of diagnostics providing complementary information in order to recover the best possible reconstruction of the actual state of the system subjected to measurement.
* [[Function parametrization]]
* [[Function parametrization]]
* Bayesian analysis
* [[Bayesian data analysis]]
 
== See also ==
 
[[Error propagation]]
 
== References ==
<references />

Latest revision as of 13:11, 21 April 2024

This page collects information on data analysis techniques used in fusion research.

Temporal analysis

Linear analysis

Non-linear analysis

Self-similarity

Causality

  • Causality detection[5]: the determination of a causal interaction between two fluctuating variables, based on, e.g., the Transfer Entropy

Spatial analysis

Most of the techniques listed under 'temporal analysis' can of course be applied to spatial data.

Spatio-temporal analysis

Image analysis

  • Twodimensional Fourier analysis
  • Twodimensional wavelet analysis
  • Event detection using thresholding
  • Optical flow (for movies)

Integrated data analysis

The goal of integrated data analysis is to combine the information from a set of diagnostics providing complementary information in order to recover the best possible reconstruction of the actual state of the system subjected to measurement.

See also

Error propagation

References

  1. I. Teliban, D. Block, A. Piel and F. Greiner, Improved conditional averaging technique for plasma fluctuation diagnostics, Plasma Phys. Control. Fusion 49(2007) 485–497
  2. N. Huang and S. Shen, Hilbert-Huang transform and its applications (World Scientific, London, 2005) ISBN 978-9812563767
  3. B.A. Carreras et al., Reconstruction of intermittent waveforms associated with the zonal flow at the transition leading to the edge shear flow layer, Nucl. Fusion 51 (2011) 053022
  4. R. Sánchez et al., Quiet-time statistics: A tool to probe the dynamics of self-organized-criticality systems from within the strong overlapping regime, Phys. Rev. E 66, 036124 (2002)
  5. B.Ph. van Milligen, G. Birkenmeier, M. Ramisch, T. Estrada, C. Hidalgo, and A. Alonso, Causality detection and turbulence in fusion plasmas, Nucl. Fusion 54 (2014), 023011
  6. B.Ph. van Milligen, E. Sánchez, A. Alonso, M.A. Pedrosa, C. Hidalgo, A. Martín de Aguilera, A. López Fraguas, The use of the Biorthogonal Decomposition for the identification of zonal flows at TJ-II, Plasma Phys. Control. Fusion 57, 2 (2015) 025005