dcmri.prop_pass#

dcmri.prop_pass(t)[source]#

Propagator or transit time distribution of a pass.

See section Pass 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 = [0,3,4,6]
>>> dc.prop_pass(t)
array([0.66666667, 0.        , 0.        , 0.        ])