spectrochempy.asls

asls(dataset, lamb=1e5, asymmetry=0.05, tol=1e-3, max_iter=50)[source]

Asymmetric Least Squares Smoothing baseline correction.

This method is based on the work of Eilers and Boelens ([Eilers and Boelens, 2005]).

Parameters:

  • dataset (NDDataset) – The input data.

  • lamb (float, optional, default:1e5) – The smoothness parameter for the AsLS method. Larger values make the baseline stiffer. Values should be in the range (0, 1e9)

  • asymmetry (float, optional, default:0.05,) – The asymmetry parameter for the AsLS method. It is typically between 0.001 and 0.1. 0.001 gives almost the same fit as the unconstrained least squares.

  • tol = `float`, optional, default (1e-3) – The tolerance parameter for the AsLS method. Smaller values make the fitting better but potentially increases the number of iterations and the running time. Values should be in the range (0, 1).

  • max_iter = `int`, optional, default (50) – Maximum number of AsLS iteration.

Returns:

NDDataset – The baseline corrected dataset.

See also

Baseline

Manual baseline correction processor.

get_baseline

Compute a baseline using the Baseline class.

basc

Make a baseline correction using the Baseline class.

snip

Perform a Simple Non-Iterative Peak (SNIP) detection algorithm.

rubberband

Perform a Rubberband baseline correction.

autosub

Perform an automatic subtraction of reference.

detrend

Remove polynomial trend along a dimension from dataset.