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Causality detection: Difference between revisions
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* Predict the system evolution from a (numerical) model. If successful, the model equations may reveal causal relations. | * Predict the system evolution from a (numerical) model. If successful, the model equations may reveal causal relations. | ||
* Quantify parameters related to system evolution (growth rates, damping rates). | * Quantify parameters related to system evolution (growth rates, damping rates). | ||
* Use techniques such as correlations, conditional averages; these linear analysis techniques by themselves cannot reveal causality, but | * Use techniques such as correlations, conditional averages; these linear analysis techniques by themselves cannot reveal causality, but additional reasoning (based on physical insight or models) may allow drawing conclusions. | ||
In the fusion context, see <ref>K.H. Burrell, ''Tests of causality: Experimental evidence that sheared <math>E \times B</math> flow alters turbulence and transport in tokamaks,[[doi:10.1063/1.873728|'' Phys. Plasmas, '''6'''(12):4418, 1999]]</ref>. | In the fusion context, see <ref>K.H. Burrell, ''Tests of causality: Experimental evidence that sheared <math>E \times B</math> flow alters turbulence and transport in tokamaks,[[doi:10.1063/1.873728|'' Phys. Plasmas, '''6'''(12):4418, 1999]]</ref>. | ||