(luke)¶

LUKE solves the bounce-averaged Fokker-Planck equation in one spatial dimension and two momentum dimensions.

Summary of options¶

Option	Description
`luke interptype`	Interpolation method to use.
`dream logarithmize`	Whether or not to interpolate in the logarithm of the distribution function.
`luke name`	Name of file containing distribution function.

Example configuration¶

File layout¶

The file containing the LUKE distribution function must contain the variables listed in the table below:

Variable	Description
`betath_ref`	Reference normalized thermal speed \(\beta_\mathrm{th,ref}\) (for de-normalization).
`f`	Distribution function \(f(\psi,\xi,p)\).
`mhu`	Pitch grid in the variable \(\xi = \cos\theta_{\mathrm{p}}\).
`pn`	Momentum grid, with momentum normalized to \(\beta_{\mathrm{th,ref}}\).
`xrhoG`	Radial grid in the variable \(\psi/\psi_a\), i.e. normalized poloidal flux.

All options¶

interptype¶

Default value:	`cubic`
Allowed values:	`cubic` or `linear`

SOFT interpolates in the given distribution function to evaluate it at arbitrary points on the phase space grid. A linear interpolation scheme is always used to interpolate in the radial coordinate, but interpolation in the momentum coordinates (\(p\) and \(\xi\)) can either be done using bi-linear or bi-cubic splines.

logarithmize¶

Default value:	`no`
Allowed values:	`yes` or `no`

If yes, interpolates in the logarithm of the distribution function instead of in the distribution function directly. This can aid in fitting sharply decaying ditsribution functions.

name¶

Default value:	Nothing
Allowed values:	Any valid file name

Name of the file containing the distribution function.