Comment cleanup
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@ -21,9 +21,9 @@ def prepare_s_function(ln_R: float = -16,
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:param ln_R: Natural logarithm of the desired reflectance
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:param m: Polynomial order for the PML (imaginary part increases as distance ** m)
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:return: An s_function, which takes an ndarray (distances) and returns an ndarray (complex part of
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the cell width; needs to be divided by sqrt(epilon_effective) * real(omega)) before
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use.
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:return: An s_function, which takes an ndarray (distances) and returns an ndarray (complex part
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of the cell width; needs to be divided by sqrt(epilon_effective) * real(omega))
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before 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 assume periodic boundaries
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@ -96,11 +96,11 @@ def stretch_with_scpml(dxes: dx_lists_t,
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:param axis: axis to stretch (0=x, 1=y, 2=z)
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:param polarity: direction to stretch (-1 for -ve, +1 for +ve)
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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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Default 1.
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:param epsilon_effective: Effective epsilon of the PML. Match this to the material at the
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edge of your grid. Default 1.
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:param thickness: number of cells to use for pml (default 10)
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:param s_function: s_function created by prepare_s_function(...), allowing customization of pml parameters.
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Default uses prepare_s_function() with no parameters.
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:param s_function: s_function created by prepare_s_function(...), allowing customization
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of pml parameters. Default uses prepare_s_function() with no parameters.
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:return: Complex cell widths
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"""
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if s_function is None:
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