Statistical theory for transition and sustainment of the improved confinement state

Sanae Itoh; Kimitaka Itoh; Masatoshi Yagi; Shinichiro Toda

doi:10.1088/0741-3335/46/5A/038

Statistical theory for transition and sustainment of the improved confinement state

Sanae Itoh, Kimitaka Itoh, Masatoshi Yagi, Shinichiro Toda

Division of Nuclear Fusion Dynamics

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

The occurrence of stochastic transitions is investigated in the presence of triggers by turbulence noise and external events. The probability of observing the transition is calculated assuming that the global controlling parameters change in time. This is another important prediction of statistical theory in addition to the long time average. This explains the feature of transient response of the system with stochastic transitions. The interpretation of the experimental threshold database is discussed.

Original language	English
Journal	Plasma Physics and Controlled Fusion
Volume	46
Issue number	5 SUPPL. A
DOIs	https://doi.org/10.1088/0741-3335/46/5A/038
Publication status	Published - Jan 1 2004

All Science Journal Classification (ASJC) codes

Nuclear Energy and Engineering
Condensed Matter Physics

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10.1088/0741-3335/46/5A/038

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title = "Statistical theory for transition and sustainment of the improved confinement state",

abstract = "The occurrence of stochastic transitions is investigated in the presence of triggers by turbulence noise and external events. The probability of observing the transition is calculated assuming that the global controlling parameters change in time. This is another important prediction of statistical theory in addition to the long time average. This explains the feature of transient response of the system with stochastic transitions. The interpretation of the experimental threshold database is discussed.",

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AU - Yagi, Masatoshi

AU - Toda, Shinichiro

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Y1 - 2004/1/1

N2 - The occurrence of stochastic transitions is investigated in the presence of triggers by turbulence noise and external events. The probability of observing the transition is calculated assuming that the global controlling parameters change in time. This is another important prediction of statistical theory in addition to the long time average. This explains the feature of transient response of the system with stochastic transitions. The interpretation of the experimental threshold database is discussed.

AB - The occurrence of stochastic transitions is investigated in the presence of triggers by turbulence noise and external events. The probability of observing the transition is calculated assuming that the global controlling parameters change in time. This is another important prediction of statistical theory in addition to the long time average. This explains the feature of transient response of the system with stochastic transitions. The interpretation of the experimental threshold database is discussed.

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SN - 0741-3335

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ER -

Statistical theory for transition and sustainment of the improved confinement state

Abstract

All Science Journal Classification (ASJC) codes

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