tidy3d.PermittivityData#
- class PermittivityData[source]#
Bases:
PermittivityDataset
,AbstractFieldData
Data for a
PermittivityMonitor
: diagonal components of the permittivity tensor.- Parameters:
monitor (Attribute:
monitor
) –Type
PermittivityMonitor
Default
Description
Permittivity monitor associated with the data.
symmetry (Attribute:
symmetry
) –Type
Tuple[Literal[0, -1, 1], Literal[0, -1, 1], Literal[0, -1, 1]]
Default
= (0, 0, 0)
Description
Symmetry eigenvalues of the original simulation in x, y, and z.
symmetry_center (Attribute:
symmetry_center
) –Type
Optional[Tuple[float, float, float]]
Default
= None
Description
Center of the symmetry planes of the original simulation in x, y, and z. Required only if any of the
symmetry
field are non-zero.grid_expanded (Attribute:
grid_expanded
) –Type
Optional[Grid]
Default
= None
Description
Grid
discretization 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
) –Type
ScalarFieldDataArray
Default
Description
Spatial distribution of the xx-component of the relative permittivity.
eps_yy (Attribute:
eps_yy
) –Type
ScalarFieldDataArray
Default
Description
Spatial distribution of the yy-component of the relative permittivity.
eps_zz (Attribute:
eps_zz
) –Type
ScalarFieldDataArray
Default
Description
Spatial 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.