bioniumx.preprocessing.savitzky_golay

bioniumx.preprocessing.savitzky_golay(spectrum: BioniumXObject, window: int = 11, polyorder: int = 3)[source]

Apply a Savitzky-Golay filter to smooth a spectrum.

A Savitzky-Golay filter smooths data by fitting successive sub-sets of adjacent data points with a low-degree polynomial. It is excellent for preserving line shapes and peaks while reducing high-frequency noise.

Parameters:

  • spectrum (BioniumXObject) – The input spectrum (TransmissionSpectrum or EmissionSpectrum).

  • window (int, optional) – The length of the filter window. Must be a positive odd integer. Default 11.

  • polyorder (int, optional) – The order of the polynomial used to fit the samples. Must be less than window. Default 3.

Returns:

smoothed – A new spectrum object of the same type with smoothed data.

Return type:

BioniumXObject

Raises:

ValueError – If window is even or if polyorder >= window.

Examples

>>> spec = TransmissionSpectrum.read("data.h5")
>>> smoothed_spec = savitzky_golay(spec, window=15, polyorder=3)