tidy3d.FieldProjectionCartesianData

class FieldProjectionCartesianData

Bases: AbstractFieldProjectionData

Data associated with a FieldProjectionCartesianMonitor: components of projected fields.

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 (FieldProjectionCartesianMonitor) – Field projection monitor with a Cartesian projection grid.

• Er (FieldProjectionCartesianDataArray) – Spatial distribution of r-component of the electric field.

• Etheta (FieldProjectionCartesianDataArray) – Spatial distribution of the theta-component of the electric field.

• Ephi (FieldProjectionCartesianDataArray) – Spatial distribution of phi-component of the electric field.

• Hr (FieldProjectionCartesianDataArray) – Spatial distribution of r-component of the magnetic field.

• Htheta (FieldProjectionCartesianDataArray) – Spatial distribution of theta-component of the magnetic field.

• Hphi (FieldProjectionCartesianDataArray) – Spatial distribution of phi-component of the magnetic field.

• medium (Union[Medium, AnisotropicMedium, PECMedium, PoleResidue, Sellmeier, Lorentz, Debye, Drude, FullyAnisotropicMedium, CustomMedium, CustomPoleResidue, CustomSellmeier, CustomLorentz, CustomDebye, CustomDrude, CustomAnisotropicMedium, PerturbationMedium, PerturbationPoleResidue, Medium2D, AnisotropicMediumFromMedium2D] = Medium(attrs={}, name=None, frequency_range=None, allow_gain=False, nonlinear_spec=None, modulation_spec=None, heat_spec=None, type='Medium', permittivity=1.0, conductivity=0.0)) – Background medium through which to project fields.

• projection_surfaces (Tuple[FieldProjectionSurface, ...]) – Surfaces of the monitor where near fields were recorded for projection

Example

>>> from tidy3d import FieldProjectionCartesianDataArray
>>> f = np.linspace(1e14, 2e14, 10)
>>> x = np.linspace(0, 5, 10)
>>> y = np.linspace(0, 10, 20)
>>> z = np.atleast_1d(5)
>>> coords = dict(x=x, y=y, z=z, f=f)
>>> values = (1+1j) * np.random.random((len(x), len(y), len(z), len(f)))
>>> scalar_field = FieldProjectionCartesianDataArray(values, coords=coords)
>>> monitor = FieldProjectionCartesianMonitor(
...     center=(1,2,3), size=(2,2,2), freqs=f, name='n2f_monitor', x=x, y=y,
...     proj_axis=2, proj_distance=50
...     )
>>> data = FieldProjectionCartesianData(
...     monitor=monitor, Er=scalar_field, Etheta=scalar_field, Ephi=scalar_field,
...     Hr=scalar_field, Htheta=scalar_field, Hphi=scalar_field,
...     projection_surfaces=monitor.projection_surfaces,
...     )

Attributes

x	X positions.
y	Y positions.
z	Z positions.
attrs

Methods

renormalize_fields(proj_distance)

Return a FieldProjectionCartesianData with fields re-normalized to a new projection distance, by applying a phase factor based on proj_distance.

Inherited Common Usage

monitor

projection_surfaces

Er

Etheta

Ephi

Hr

Htheta

Hphi

property x

X positions.

property y

Y positions.

property z

Z positions.

renormalize_fields(proj_distance)

Return a FieldProjectionCartesianData with fields re-normalized to a new projection distance, by applying a phase factor based on proj_distance.

Parameters:

proj_distance (float = None) – (micron) new plane distance relative to the monitor’s local origin.

Returns:

Copy of this FieldProjectionCartesianData with fields re-projected to proj_distance.

Return type:

FieldProjectionCartesianData

__hash__()

Hash method.