tidy3d.PermittivityData

class PermittivityData

Bases: PermittivityDataset, AbstractFieldData

Data for a PermittivityMonitor: diagonal components of the permittivity tensor.

Parameters:

• attrs (dict = {}) – Dictionary storing arbitrary metadata for a Tidy3D object. This dictionary can be freely used by the user for storing data without affecting the operation of Tidy3D as it is not used internally. Note that, unlike regular Tidy3D fields, attrs are mutable. For example, the following is allowed for setting an attr obj.attrs['foo'] = bar. Also note that Tidy3D` will raise a TypeError if attrs contain objects that can not be serialized. One can check if attrs are serializable by calling obj.json().

• monitor (PermittivityMonitor) – Permittivity monitor associated with the data.

• symmetry (Tuple[Literal[0, -1, 1], Literal[0, -1, 1], Literal[0, -1, 1]] = (0, 0, 0)) – Symmetry eigenvalues of the original simulation in x, y, and z.

• symmetry_center (Optional[Tuple[float, float, float]] = None) – 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 (Optional[Grid] = None) – 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 vector and flux.

• eps_xx (ScalarFieldDataArray) – Spatial distribution of the xx-component of the relative permittivity.

• eps_yy (ScalarFieldDataArray) – Spatial distribution of the yy-component of the relative permittivity.

• eps_zz (ScalarFieldDataArray) – 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

attrs

Methods

Inherited Common Usage

monitor

__hash__()

Hash method.