tidy3d.FieldProjectionKSpaceData

class FieldProjectionKSpaceData

Bases: AbstractFieldProjectionData

Data associated with a FieldProjectionKSpaceMonitor: components of projected fields.

Parameters:

• monitor (FieldProjectionKSpaceMonitor) – Field projection monitor with a projection grid defined in k-space.

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

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

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

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

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

• Hphi (FieldProjectionKSpaceDataArray) – 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] = Medium(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 FieldProjectionKSpaceDataArray
>>> f = np.linspace(1e14, 2e14, 10)
>>> ux = np.linspace(0, 0.4, 10)
>>> uy = np.linspace(0, 0.6, 20)
>>> r = np.atleast_1d(5)
>>> coords = dict(ux=ux, uy=uy, r=r, f=f)
>>> values = (1+1j) * np.random.random((len(ux), len(uy), len(r), len(f)))
>>> scalar_field = FieldProjectionKSpaceDataArray(values, coords=coords)
>>> monitor = FieldProjectionKSpaceMonitor(
...     center=(1,2,3), size=(2,2,2), freqs=f, name='n2f_monitor', ux=ux, uy=uy, proj_axis=2
...     )
>>> data = FieldProjectionKSpaceData(
...     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

r	Radial distance.
ux	Reciprocal X positions.
uy	Reciprocal Y positions.

Methods

renormalize_fields(proj_distance)

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

monitor

projection_surfaces

Er

Etheta

Ephi

Hr

Htheta

Hphi

property ux

Reciprocal X positions.

property uy

Reciprocal Y positions.

property r

Radial distance.

renormalize_fields(proj_distance)

Return a FieldProjectionKSpaceData 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 radial distance relative to the monitor’s local origin.

Returns:

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

Return type:

FieldProjectionKSpaceData

__hash__()

Hash method.