gplugins.modes.find_coupling_vs_gap

gplugins.modes.find_coupling_vs_gap#

gplugins.modes.find_coupling_vs_gap(gap1: float = 0.2, gap2: float = 0.4, steps: int = 12, nmodes: int = 4, wavelength: float = 1.55, parity=0, filepath: str | Path | None = None, overwrite: bool = False, **kwargs) → DataFrame[source]#

Returns coupling vs gap pandas DataFrame.

Parameters:

  • gap1 – starting gap in um.

  • gap2 – end gap in um.

  • steps – number of steps.

  • nmodes – number of modes.

  • wavelength – wavelength (um).

  • parity – for symmetries.

  • filepath – optional filepath to cache results on disk.

  • overwrite – overwrites results even if found on disk.

Keyword Arguments:

  • core_width – core_width (um) for the symmetric case.

  • gap – for the case of only two waveguides.

  • core_widths – list or tuple of waveguide widths.

  • gaps – list or tuple of waveguide gaps.

  • core_thickness – wg height (um)

  • slab_thickness – thickness for the waveguide slab

  • core_material – core material refractive index

  • clad_material – clad material refractive index

  • nslab – Optional slab material refractive index. Defaults to core_material.

  • ymargin – margin in y.

  • sz – simulation region thickness (um).

  • resolution – resolution (pixels/um).

  • nmodes – number of modes.

  • sidewall_angles – waveguide sidewall angle (radians), tapers from core_width at top of slab, upwards, to top of waveguide.

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