A two dimensional statistical framework connecting thermodynamic profiles with filaments in the Scrape Off Layer and application to experiments.

A two dimensional statistical framework connecting thermodynamic profiles with filaments in the Scrape Off Layer and application to experiments.

A two dimensional statistical framework connecting thermodynamic profiles with filaments in the Scrape Off Layer and application to experiments. 150 150 UKAEA Opendata
UKAEA-CCFE-PR(18)19

A two dimensional statistical framework connecting thermodynamic profiles with filaments in the Scrape Off Layer and application to experiments.

A statistical framework was introduced in textit{Militello et al., Nucl. Fusion 56, 104004 (2016)} to correlate the dynamics and statistics of L-mode and inter-ELM plasma filaments with the radial profiles of thermodynamic quantities they generate in the Scrape Off Layer. This paper extends the framework to cases in which the filaments are emitted from the separatrix at different toroidal positions and with a finite toroidal velocity. It is found that the toroidal velocity does not affect the profiles, while the toroidal distribution of filament emission renormalises the waiting time between two events. Experimental data collected with visual camera imaging are used to evaluate the statistics of the fluctuations, to inform the choice of the probability distribution functions used in the application of the framework. It is found that the toroidal separation of the filaments is exponentially distributed, thus suggesting the lack of a toroidal modal structure. Finally, using these measurements, the framework is applied to an experimental case and good agreement is found.

Collection:
Journals
Journal:
Physics of Plasmas
Publisher:
AIP
Published date:
09/05/2018