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