tidy3d.SpaceModulation

class SpaceModulation

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

Parameters:

• amplitude (Attribute: amplitude) –

  Type	Union[float, SpatialDataArray]
  Default	= 1
  Description	Amplitude of modulation that can vary spatially. It takes the unit of whatever is being modulated.

• phase (Attribute: phase) –

  Type	Union[float, SpatialDataArray]
  Default	= 0
  Units	rad
  Description	Phase of modulation that can vary spatially.

• interp_method (Attribute: interp_method) –

  Type	Literal[‘nearest’, ‘linear’]
  Default	= nearest
  Description	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(**kwargs)	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.
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.
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_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(**kwargs)	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

amplitude

phase

interp_method

property max_modulation

Estimated maximum modulation amplitude.

sel_inside(bounds)

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.