2016
DOI: 10.1088/0741-3335/58/6/065003
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Dynamic spectra of radio frequency bursts associated with edge-localized modes

Abstract: Electromagnetic emissions in the radio frequency (RF) range are detected in the highconfinement-mode (H-mode) plasma using a fast RF spectrometer on the KSTAR tokamak. The emissions at the crash events of edge-localized modes (ELMs) are found to occur as strong RF bursts with dynamic features in intensity and spectrum. The RF burst spectra (obtained with frequency resolution better than 10 MHz) exhibit diverse spectral features and evolve in multiple steps before the onset and through the ELM crash: (1) a narr… Show more

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Cited by 33 publications
(68 citation statements)
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References 15 publications
(21 reference statements)
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“…The intense RF burst coincides with the pedestal collapse measured by the ECEI. These distinct spectral features of the partial ELM crash are similar to the case of complete ELM crash14, suggesting a common crash mechanism.…”
Section: Resultsmentioning
confidence: 59%
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“…The intense RF burst coincides with the pedestal collapse measured by the ECEI. These distinct spectral features of the partial ELM crash are similar to the case of complete ELM crash14, suggesting a common crash mechanism.…”
Section: Resultsmentioning
confidence: 59%
“…Another accurate indicator of the ELM crash is strong electromagnetic emission in the radio frequency (RF) range14, which may be interpreted as ion cyclotron emission (ICE) attributed to the magnetoacoustic cyclotron instability (MCI) excited by the increase in the population of fusion-born particle at the edge of plasmas15. When the ELM crash occurs, the edge pedestal collapses with the ejection of large energy and particles from the plasma.…”
Section: Resultsmentioning
confidence: 99%
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“…The duration of the proton ICE features during KSTAR ELM crashes is brief, typically a few microseconds; see for example, figure 6 of [1] and figure 1 below. Temporal correlation between an ELM crash and the ICE phenomena observed on KSTAR [1] may be due in part to the action of the ELM in 'flushing out' particles from the edge region.…”
Section: Introductionmentioning
confidence: 99%
“…The last panel of Figure 1 From the filter-bank data, the trends of RF emission can be observed during multiple ELM cycles or the whole time range of discharge. KSTAR is equipped with another fast RF digitizer system (~5 GSa/s), which enables us to see the details of RF emission spectra with a high spectral resolution [11]. The high temporal (~1 μs) and spectral (~1 MHz) resolution are essential to resolve the fast ELM crash process, which proceeds within several hundreds of microseconds.…”
Section: Introductionmentioning
confidence: 99%