pastas.noisemodels.ArNoiseModel.weights#

pastas.noisemodels.ArNoiseModel.weights(res: pandas.Series, p: pastas.typing.ArrayLike) → pandas.Series#

Calculate the weights for the noise.

Parameters:

  • res (pandas.Series) – Pandas Series with the residuals to compute the weights for. The Series index must be a DatetimeIndex.

  • p (array_like) – NumPy array with the parameters used in the noise model.

Returns:

w – Series of the weights.

Return type:

pandas.Series

Notes

Weights are

\[\begin{split}w = 1 / sqrt((1 - exp(-2 \\Delta t / \\alpha)))\end{split}\]

which are then normalized so that sum(w) = len(res).