tidy3d.SpaceTimeModulation

class SpaceTimeModulation

Space-time modulation applied to a medium, adding on top of the time-independent part.

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().

• space_modulation (SpaceModulation = SpaceModulation(attrs={}, type='SpaceModulation', amplitude=1.0, phase=0.0, interp_method='nearest')) – Space modulation part from the separable SpaceTimeModulation.

• time_modulation (ContinuousWaveTimeModulation) – Time modulation part from the separable SpaceTimeModulation.

Note

The space-time modulation must be separable in space and time. e.g. when applied to permittivity,

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

__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, validate])	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-time 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_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, validate])	Make copy of a component instance with **kwargs indicating updated field values.
validate(value)

Attributes

max_modulation	Estimated maximum modulation amplitude.
negligible_modulation	whether the modulation is weak enough to be regarded as zero.
space_modulation
time_modulation
attrs

space_modulation

time_modulation

property max_modulation

Estimated maximum modulation amplitude.

property negligible_modulation

whether the modulation is weak enough to be regarded as zero.

sel_inside(bounds)

Return a new space-time 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:

SpaceTimeModulation with reduced data.

Return type:

SpaceTimeModulation

__hash__()

Hash method.