tidy3d.plugins.StableDispersionFitter

class tidy3d.plugins.StableDispersionFitter

Stable fitter based on web service

Parameters

• wvl_um (Union[Tuple[float, ...], Array]) – [units = um]. Wavelength data in micrometers.

• n_data (Union[Tuple[float, ...], Array]) – Real part of the complex index of refraction.

• k_data (Union[Tuple[float, ...], Array] = None) – Imaginary part of the complex index of refraction.

• wvl_range (Tuple[float, float] = (None, None)) – [units = um]. Truncate the wavelength-nk data to wavelength range [wvl_min,wvl_max] for fitting

Show JSON schema

{
   "title": "StableDispersionFitter",
   "description": "Stable fitter based on web service\n\nParameters\n----------\nwvl_um : Union[Tuple[float, ...], Array]\n    [units = um].  Wavelength data in micrometers.\nn_data : Union[Tuple[float, ...], Array]\n    Real part of the complex index of refraction.\nk_data : Union[Tuple[float, ...], Array] = None\n    Imaginary part of the complex index of refraction.\nwvl_range : Tuple[float, float] = (None, None)\n    [units = um].  Truncate the wavelength-nk data to wavelength range [wvl_min,wvl_max] for fitting",
   "type": "object",
   "properties": {
      "wvl_um": {
         "title": "Wavelength data",
         "description": "Wavelength data in micrometers.",
         "units": "um",
         "anyOf": [
            {
               "type": "array",
               "items": {
                  "type": "number"
               }
            },
            {
               "title": "Array Like",
               "description": "Accepts sequence (tuple, list, numpy array) and converts to tuple.",
               "type": "tuple",
               "properties": {},
               "required": []
            }
         ]
      },
      "n_data": {
         "title": "Index of refraction data",
         "description": "Real part of the complex index of refraction.",
         "anyOf": [
            {
               "type": "array",
               "items": {
                  "type": "number"
               }
            },
            {
               "title": "Array Like",
               "description": "Accepts sequence (tuple, list, numpy array) and converts to tuple.",
               "type": "tuple",
               "properties": {},
               "required": []
            }
         ]
      },
      "k_data": {
         "title": "Extinction coefficient data",
         "description": "Imaginary part of the complex index of refraction.",
         "anyOf": [
            {
               "type": "array",
               "items": {
                  "type": "number"
               }
            },
            {
               "title": "Array Like",
               "description": "Accepts sequence (tuple, list, numpy array) and converts to tuple.",
               "type": "tuple",
               "properties": {},
               "required": []
            }
         ]
      },
      "wvl_range": {
         "title": "Wavelength range [wvl_min,wvl_max] for fitting",
         "description": "Truncate the wavelength-nk data to wavelength range [wvl_min,wvl_max] for fitting",
         "default": [
            null,
            null
         ],
         "units": "um",
         "type": "array",
         "minItems": 2,
         "maxItems": 2,
         "items": [
            {
               "type": "number"
            },
            {
               "type": "number"
            }
         ]
      },
      "type": {
         "title": "Type",
         "default": "StableDispersionFitter",
         "enum": [
            "StableDispersionFitter"
         ],
         "type": "string"
      }
   },
   "required": [
      "wvl_um",
      "n_data"
   ],
   "additionalProperties": false
}

fit(num_poles: pydantic.types.PositiveInt = 1, num_tries: pydantic.types.PositiveInt = 50, tolerance_rms: pydantic.types.NonNegativeFloat = 0.01, advanced_param: tidy3d.plugins.dispersion.fit_web.AdvancedFitterParam = AdvancedFitterParam(bound_amp=None, bound_f=None, bound_f_lower=0.0, bound_eps_inf=10.0, constraint='hard', nlopt_maxeval=5000, random_seed=0, type='AdvancedFitterParam')) → Tuple[tidy3d.components.medium.PoleResidue, float]

Fits data a number of times and returns best results.

Parameters

• num_poles (PositiveInt, optional) – Number of poles in the model.

• num_tries (PositiveInt, optional) – Number of optimizations to run with random initial guess.

• tolerance_rms (NonNegativeFloat, optional) – RMS error below which the fit is successful and the result is returned.

• advanced_param (AdvancedFitterParam, optional) – Other advanced parameters.

Returns

Best results of multiple fits: (dispersive medium, RMS error).

Return type

Tuple[PoleResidue, float]