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 | |
| Publication status | Published - Jan 1 2004 |
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All Science Journal Classification (ASJC) codes
- Nuclear Energy and Engineering
- Condensed Matter Physics
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Statistical theory for transition and sustainment of the improved confinement state. / Itoh, Sanae; Itoh, Kimitaka; Yagi, Masatoshi; Toda, Shinichiro.
In: Plasma Physics and Controlled Fusion, Vol. 46, No. 5 SUPPL. A, 01.01.2004.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Statistical theory for transition and sustainment of the improved confinement state
AU - Itoh, Sanae
AU - Itoh, Kimitaka
AU - Yagi, Masatoshi
AU - Toda, Shinichiro
PY - 2004/1/1
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.
UR - http://www.scopus.com/inward/record.url?scp=2942617199&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2942617199&partnerID=8YFLogxK
U2 - 10.1088/0741-3335/46/5A/038
DO - 10.1088/0741-3335/46/5A/038
M3 - Article
AN - SCOPUS:2942617199
VL - 46
JO - Plasma Physics and Controlled Fusion
JF - Plasma Physics and Controlled Fusion
SN - 0741-3335
IS - 5 SUPPL. A
ER -