DataModel

class photonforge.DataModel(s_matrix=None, s_array=None, frequencies=None, ports=None, interpolation_method='linear', interpolation_coords='mag_phase')

Model based on existing S matrix data.

Parameters:

• s_matrix (SMatrix | None) – Model data as an SMatrix instance.

• s_array (ndarray | None) – Complex array with dimensions (F, N, N), in which N is the number of ports.

• frequencies (ndarray | None) – Frequency array with length F.

• ports (Sequence[str] | None) – List of port names. If not set, the sorted list of port components is used.

• interpolation_method (Literal['linear', 'barycentric', 'cubicspline', 'pchip', 'akima', 'makima']) – Interpolation method used for sampling frequencies. See table below for options.

• interpolation_coords (Literal['real_imag', 'mag_phase']) – Coordinate system used for interpolation. One of "mag_phase" or "real_imag".

When s_matrix is provided, s_array, frequencies, and ports should be None, otherwise only ports is optional.

Interpolation method	Description
"linear"	Linear interpolation between neighboring points
"barycentric"	Barycentric Lagrange interpolation
"cubicspline"	Cubic spline interpolation
"pchip"	Piecewise cubic Hermite interpolating polynomial
"akima"	Akima interpolation
"makima"	Modified Akima interpolation

Important

Use of any interpolation method other than "linear" requires scipy >= 1.7, and "makima" requires scipy >= 1.13.

Note

The conversion from array to dictionary for s_data is equivalent to s_dict[(ports[i], ports[j])] = s_array[:, j, i].

See also

Data Model guide

Methods

from_bytes(byte_repr)	De-serialize this model.
s_matrix(component, frequencies[, ...])	Compute the S matrix for a component using this model.
start(component, frequencies, **kwargs)	Start computing the S matrix response from a component.
update(*args, **kwargs)	Update this model.

Attributes

as_bytes	Serialize this model.
parametric_function	Function used to update a parametric component.
parametric_kwargs	Keyword arguments used to update a parametric component.
random_variables	List of monte_carlo.RandomVariable associated to this component's parameters.

property as_bytes: bytes

Serialize this model.

classmethod from_bytes(byte_repr)

De-serialize this model.

Parameters:

byte_repr (bytes)

Return type:

DataModel

start(component, frequencies, **kwargs)

Start computing the S matrix response from a component.

Parameters:

• component (Component) – Component from which to compute the S matrix.

• frequencies (Sequence[float]) – Sequence of frequencies at which to perform the computation.

• **kwargs – Unused.

Returns:

Model result with attributes status and s_matrix.

Return type:

ModelResult