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