2023
DOI: 10.1088/1674-1056/acd2b0
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Prediction of multifaceted asymmetric radiation from the edge movement in density-limit disruptive plasmas on Experimental Advanced Superconducting Tokamak using random forest

Abstract: MARFE movement which can cause density limit disruption is often encountered during high density operation on many tokamaks. Therefore, identifying and predicting MARFE movement is meaningful to mitigate or avoid density limit disruption for the steady-state high-density plasma operation. A machine learning method named Random Forest (RF) has been used to predict the MARFE movement based on the density ramp-up experiment in the 2022’s first campaign of EAST. The RF model shows that besides Greenwald fraction w… Show more

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“…The density limit is commonly accompanied by a radiative phenomenon, the so-called MARFE [30][31][32][33][34]. The evolution of such a MARFE, in diverted plasmas, is illustrated in figure 1.…”
Section: Density Limitmentioning
confidence: 99%
“…The density limit is commonly accompanied by a radiative phenomenon, the so-called MARFE [30][31][32][33][34]. The evolution of such a MARFE, in diverted plasmas, is illustrated in figure 1.…”
Section: Density Limitmentioning
confidence: 99%