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Comment cleanup

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jan 2016-07-03 01:20:30 -07:00
parent 8f202fd061
commit 5bf902212e
1 changed files with 9 additions and 6 deletions
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15
fdfd_tools/grid.py
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@ -26,7 +26,7 @@ def prepare_s_function(ln_R: float = -16,
use. use.
""" """
def s_factor(distance: numpy.ndarray) -> numpy.ndarray: def s_factor(distance: numpy.ndarray) -> numpy.ndarray:
s_max = (m + 1) * ln_R / 2 # / 2 because we have assume boundaries s_max = (m + 1) * ln_R / 2 # / 2 because we assume periodic boundaries
return s_max * (distance ** m) return s_max * (distance ** m)
return s_factor return s_factor
@ -43,13 +43,16 @@ def uniform_grid_scpml(shape: numpy.ndarray or List[int],
If you want something more fine-grained, check out stretch_with_scpml(...). If you want something more fine-grained, check out stretch_with_scpml(...).
:param shape: Shape of the grid, including the PMLs (which are 2*thicknesses thick) :param shape: Shape of the grid, including the PMLs (which are 2*thicknesses thick)
:param thicknesses: [th_x, th_y, th_z] Thickness of the PML in each direction. Both polarities are added. :param thicknesses: [th_x, th_y, th_z] Thickness of the PML in each direction.
Both polarities are added.
Each th_ of pml is applied twice, once on each edge of the grid along the given axis. Each th_ of pml is applied twice, once on each edge of the grid along the given axis.
th_* may be zero, in which case no pml is added. th_* may be zero, in which case no pml is added.
:param omega: Angular frequency for the simulation :param omega: Angular frequency for the simulation
:param epsilon_effective: Effective epsilon of the PML. Match this to the material at the edge of your grid. :param epsilon_effective: Effective epsilon of the PML. Match this to the material
at the edge of your grid.
Default 1. Default 1.
:param s_function: s_function created by prepare_s_function(...), allowing customization of pml parameters. :param s_function: s_function created by prepare_s_function(...), allowing
customization of pml parameters.
Default uses prepare_s_function() with no parameters. Default uses prepare_s_function() with no parameters.
:return: Complex cell widths (dx_lists) :return: Complex cell widths (dx_lists)
""" """
@ -145,9 +148,9 @@ def stretch_with_scpml(dxes: dx_lists_t,
return dxes return dxes
def generate_dx(pos: List[numpy.ndarray]) -> dx_lists_t: def generate_periodic_dx(pos: List[numpy.ndarray]) -> DXList:
""" """
Given a list of 3 ndarrays cell centers, creates the cell width parameters. Given a list of 3 ndarrays cell centers, creates the cell width parameters for a periodic grid.
:param pos: List of 3 ndarrays of cell centers :param pos: List of 3 ndarrays of cell centers
:return: (dx_a, dx_b) cell widths (no pml) :return: (dx_a, dx_b) cell widths (no pml)