tidy3d.SpaceModulation#

class SpaceModulation[source]#

The modulation profile with a user-supplied spatial distribution of amplitude and phase.

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().
amplitude (Union[float, SpatialDataArray] = 1) – Amplitude of modulation that can vary spatially. It takes the unit of whatever is being modulated.
phase (Union[float, SpatialDataArray] = 0) – [units = rad]. Phase of modulation that can vary spatially.
interp_method (Literal['nearest', 'linear'] = nearest) – Method of interpolation to use to obtain values at spatial locations on the Yee grids.

Note

\[amp\_space(r) = amplitude(r) \cdot e^{i \cdot phase(r)}\]

The full space-time modulation is,

\[amp(r, t) = \Re[amp\_time(t) \cdot amp\_space(r)]\]

Example

>>> Nx, Ny, Nz = 10, 9, 8
>>> X = np.linspace(-1, 1, Nx)
>>> Y = np.linspace(-1, 1, Ny)
>>> Z = np.linspace(-1, 1, Nz)
>>> coords = dict(x=X, y=Y, z=Z)
>>> amp = SpatialDataArray(np.random.random((Nx, Ny, Nz)), coords=coords)
>>> phase = SpatialDataArray(np.random.random((Nx, Ny, Nz)), coords=coords)
>>> space = SpaceModulation(amplitude=amp, phase=phase)

__init__(**kwargs)#: Init method, includes post-init validators.

Methods

`__init__`(**kwargs)	Init method, includes post-init validators.
`add_type_field`()	Automatically place "type" field with model name in the model field dictionary.
`construct`([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
`copy`([deep])	Copy a Tidy3dBaseModel.
`dict`(*[, include, exclude, by_alias, ...])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
`dict_from_file`(fname[, group_path])	Loads a dictionary containing the model from a .yaml, .json, .hdf5, or .hdf5.gz file.
`dict_from_hdf5`(fname[, group_path, ...])	Loads a dictionary containing the model contents from a .hdf5 file.
`dict_from_hdf5_gz`(fname[, group_path, ...])	Loads a dictionary containing the model contents from a .hdf5.gz file.
`dict_from_json`(fname)	Load dictionary of the model from a .json file.
`dict_from_yaml`(fname)	Load dictionary of the model from a .yaml file.
`from_file`(fname[, group_path])	Loads a `Tidy3dBaseModel` from .yaml, .json, .hdf5, or .hdf5.gz file.
`from_hdf5`(fname[, group_path, custom_decoders])	Loads `Tidy3dBaseModel` instance to .hdf5 file.
`from_hdf5_gz`(fname[, group_path, ...])	Loads `Tidy3dBaseModel` instance to .hdf5.gz file.
`from_json`(fname, **parse_obj_kwargs)	Load a `Tidy3dBaseModel` from .json file.
`from_orm`(obj)
`from_yaml`(fname, **parse_obj_kwargs)	Loads `Tidy3dBaseModel` from .yaml file.
`generate_docstring`()	Generates a docstring for a Tidy3D mode and saves it to the __doc__ of the class.
`get_sub_model`(group_path, model_dict)	Get the sub model for a given group path.
`get_submodels_by_hash`()	Return a dictionary of this object's sub-models indexed by their hash values.
`get_tuple_group_name`(index)	Get the group name of a tuple element.
`get_tuple_index`(key_name)	Get the index into the tuple based on its group name.
`help`([methods])	Prints message describing the fields and methods of a `Tidy3dBaseModel`.
`insert_traced_fields`(field_mapping)	Recursively insert a map of paths to autograd-traced fields into a copy of this obj.
`json`(*[, include, exclude, by_alias, ...])	Generate a JSON representation of the model, include and exclude arguments as per dict().
`parse_file`(path, *[, content_type, ...])
`parse_obj`(obj)
`parse_raw`(b, *[, content_type, encoding, ...])
`schema`([by_alias, ref_template])
`schema_json`(*[, by_alias, ref_template])
`sel_inside`(bounds)	Return a new space modulation that contains the minimal amount data necessary to cover a spatial region defined by `bounds`.
`strip_traced_fields`([starting_path, ...])	Extract a dictionary mapping paths in the model to the data traced by `autograd`.
`to_file`(fname)	Exports `Tidy3dBaseModel` instance to .yaml, .json, or .hdf5 file
`to_hdf5`(fname[, custom_encoders])	Exports `Tidy3dBaseModel` instance to .hdf5 file.
`to_hdf5_gz`(fname[, custom_encoders])	Exports `Tidy3dBaseModel` instance to .hdf5.gz file.
`to_json`(fname)	Exports `Tidy3dBaseModel` instance to .json file
`to_static`()	Version of object with all autograd-traced fields removed.
`to_yaml`(fname)	Exports `Tidy3dBaseModel` instance to .yaml file.
`tuple_to_dict`(tuple_values)	How we generate a dictionary mapping new keys to tuple values for hdf5.
`update_forward_refs`(**localns)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
`updated_copy`([path, deep])	Make copy of a component instance with `**kwargs` indicating updated field values.
`validate`(value)

Attributes

`max_modulation`	Estimated maximum modulation amplitude.
`amplitude`
`phase`
`interp_method`
`attrs`

amplitude#

phase#

interp_method#

property max_modulation#: Estimated maximum modulation amplitude.

sel_inside(bounds)[source]#

Return a new space modulation that contains the minimal amount data necessary to cover a spatial region defined by bounds.

Parameters:: bounds (Tuple[float, float, float], Tuple[float, float float]) – Min and max bounds packaged as (minx, miny, minz), (maxx, maxy, maxz).
Returns:: SpaceModulation with reduced data.
Return type:: SpaceModulation

__hash__()#: Hash method.

tidy3d.SpaceModulation

Contents

tidy3d.SpaceModulation#