Cauchy

class dnois.mt.Cauchy(name: str, a: float, b: float, c: float, min_wl: float = None, max_wl: float = None, default_unit: str = 'um')

Material for which Cauchy formula:

\[n=A+\frac{B}{\lambda^2}+\frac{C}{\lambda^4}\]

Parameters:

• a (float) – \(A\) in Cauchy formula.

• b (float) – \(B\) in Cauchy formula.

• c (float) – \(C\) in Cauchy formula.

See Material for descriptions for other parameters.

classmethod from_dict(d: dict) → Self

Constructs an instance of cls from a dict.

Parameters:

d (dict) – A dict typically returned by to_dict().

Returns:

An instance of cls.

classmethod load_json(file, **kwargs) → Self

Constructs an instance of cls through loading JSON from a file, converting it to a dict and then calling from_dict().

Parameters:

• file (str or pathlib.Path or file-like object) – The JSON file to load. Either its path (str or pathlib.Path) or a file-like object.

• kwargs – Keyword arguments passed to json.load().

Returns:

An instance of cls.

n(wl: Real | Tensor) → Real | Tensor

Computes refractive index.

Parameters:

wavelength – Value of wavelength.

Type:

float or Tensor

Returns:

Refractive index.

Return type:

float or Tensor

save_json(file, **kwargs)

Save self into a JSON file file.

Parameters:

• file – The JSON file to save. Either its path (str or pathlib.Path) or a file-like object.

• kwargs – Keyword arguments passed to json.dump().

to_dict(keep_tensor: bool = True) → dict[str, Any]

Converts self into a dict which recursively contains only primitive Python objects.

Return type:

dict

to_json(**kwargs) → str

Converts self into a JSON string.

Parameters:

kwargs – Keyword arguments passed to json.dumps().

Return type:

str

a

\(A\) in Cauchy formula.

b

\(B\) in Cauchy formula.

c

\(C\) in Cauchy formula.

default_unit

Default unit.

max_wl

Maximum wavelength valid for the material.

min_wl

Minimum wavelength valid for the material.

name

Name of the material.