dcmri.prop_trap#

dcmri.prop_trap(t)[source]#

Propagator or transit time distribution of a trap.

See section Trap for more detail.

Parameters:

t (array_like) – Time points where the propagator is calculated.

Returns:

propagator as a 1D array.

Return type:

numpy.ndarray

Example

>>> import dcmri as dc
>>> t = [0,1,2,3,4]
>>> dc.prop_trap(t)
array([0., 0., 0., 0., 0.])