kappa_thermal_speed¶

plasmapy.formulary.parameters.kappa_thermal_speed(T: Unit("K"), kappa, particle='e-', method='most_probable') -> Unit("m / s")¶

Return the most probable speed for a particle within a Kappa distribution.

Aliases: vth_kappa_

Parameters:	T (Quantity) – The particle temperature in either kelvin or energy per particle kappa (float) – The kappa parameter is a dimensionless number which sets the slope of the energy spectrum of suprathermal particles forming the tail of the Kappa velocity distribution function. Kappa must be greater than 3/2. particle (str, optional) – Representation of the particle species (e.g., ‘p’ for protons, ‘D+’ for deuterium, or ‘He-4 +1’ for singly ionized helium-4), which defaults to electrons. If no charge state information is provided, then the particles are assumed to be singly charged. method (str, optional) – Method to be used for calculating the thermal speed. Options are ‘most_probable’ (default), ‘rms’, and ‘mean_magnitude’.
Returns:	V – Particle thermal speed
Return type:	Quantity
Raises:	`TypeError` – The particle temperature is not a ~astropy.units.Quantity. `astropy.units.UnitConversionError` – If the particle temperature is not in units of temperature or energy per particle. `ValueError` – The particle temperature is invalid or particle cannot be used to identify an isotope or particle.
Warns:	RelativityWarning – If the particle thermal speed exceeds 5% of the speed of light, or ~astropy.units.UnitsWarning – If units are not provided, SI units are assumed.

Notes

The particle thermal speed is given by:

\[V_{th,i} = \sqrt{(2 \kappa - 3)\frac{2 k_B T_i}{\kappa m_i}}\]

For more discussion on the mean_magnitude calculation method, see [1].

Examples

>>> from astropy import units as u
>>> kappa_thermal_speed(5*u.eV, 4, 'p') # defaults to most probable
<Quantity 24467.87... m / s>
>>> kappa_thermal_speed(5*u.eV, 4, 'p', 'rms')
<Quantity 37905.47... m / s>
>>> kappa_thermal_speed(5*u.eV, 4, 'p', 'mean_magnitude')
<Quantity 34922.98... m / s>

References

[1]	PlasmaPy Issue #186, https://github.com/PlasmaPy/PlasmaPy/issues/186