tidy3d.PermittivityData#
- class PermittivityData[source]#
Bases:
PermittivityDataset,AbstractFieldDataData for a
PermittivityMonitor: diagonal components of the permittivity tensor.- Parameters:
monitor (Attribute:
monitor) –TypePermittivityMonitor
DefaultDescriptionPermittivity monitor associated with the data.
symmetry (Attribute:
symmetry) –TypeTuple[Literal[0, -1, 1], Literal[0, -1, 1], Literal[0, -1, 1]]
Default= (0, 0, 0)
DescriptionSymmetry eigenvalues of the original simulation in x, y, and z.
symmetry_center (Attribute:
symmetry_center) –TypeOptional[Tuple[float, float, float]]
Default= None
DescriptionCenter of the symmetry planes of the original simulation in x, y, and z. Required only if any of the
symmetryfield are non-zero.grid_expanded (Attribute:
grid_expanded) –TypeOptional[Grid]
Default= None
DescriptionGriddiscretization of the associated monitor in the simulation which created the data. Required if symmetries are present, as well as in order to use some functionalities like getting poynting and flux.eps_xx (Attribute:
eps_xx) –TypeScalarFieldDataArray
DefaultDescriptionSpatial distribution of the xx-component of the relative permittivity.
eps_yy (Attribute:
eps_yy) –TypeScalarFieldDataArray
DefaultDescriptionSpatial distribution of the yy-component of the relative permittivity.
eps_zz (Attribute:
eps_zz) –TypeScalarFieldDataArray
DefaultDescriptionSpatial distribution of the zz-component of the relative permittivity.
Notes
The data is stored as a DataArray object using the xarray package.
Example
>>> from tidy3d import ScalarFieldDataArray >>> x = [-1,1,3] >>> y = [-2,0,2,4] >>> z = [-3,-1,1,3,5] >>> f = [2e14, 3e14] >>> coords = dict(x=x[:-1], y=y[:-1], z=z[:-1], f=f) >>> grid = Grid(boundaries=Coords(x=x, y=y, z=z)) >>> sclr_fld = ScalarFieldDataArray((1+1j) * np.random.random((2,3,4,2)), coords=coords) >>> monitor = PermittivityMonitor(size=(2,4,6), freqs=[2e14, 3e14], name='eps') >>> data = PermittivityData( ... monitor=monitor, eps_xx=sclr_fld, eps_yy=sclr_fld, eps_zz=sclr_fld, grid_expanded=grid ... )
Attributes
Methods
- monitor#
- __hash__()#
Hash method.