smart_lorentz_gauss 2.0.8

Provides functionalities to compute mixed Lorentz-Gauss line shapes, also called n-dimensional Pseudo-Voigt function.

Smart Lorentz Gauss

What the package can do for you

This package provides functionalities to compute an n-dimensional mixed Lorentz-Gauss line shape, also called an n-dimensional Pseudo-Voigt function. Typically such functions occur in spectroscopic data originating from electro-magnetic radiation. The function can for example be used for fitting or deconvolution of such data, or for simulating (computing) spectra, i.e. as a superposition of several shapes with different parameters.

The major API functionalities

• class LorentzGauss

This example constructs a LorentzGauss shape with the given height, center, width, and Gaussian fraction.

LorentzGauss lg = new LorentzGauss.fromPars(height, [center], [width], [0.2]);

This example would compute the value of the above shape value at position x.

double val = lg.getValueAt(x]);

Detailed API

Please view the detailed API documentation in the API reference of this package (sidebar at the right of this page).

Related packages

smart_arrays_base: Basic functions for 1D and 2D arrays

smart_arrays_numerics: Numerics with 1D and 2D arrays

smart_arrays_compress: Compress 1D and 2D arrays to a smaller size.

smart_arrays_dbstore: Store 1D and 2D arrays along with metadata on the local device.

smart_arrays_plot_polyline: Plot 1D arrays as polyline along with axes and more.

smart_arrays_peaks: Detect peaks in 1D and 2D arrays.

smart_arrays_lmfit: Fits (x, y) data given as arrays to a specified model function using the Levenberg-Marquardt algorithm.

smart_signal_processing: Fourier transform and more.

smart_dialogs: Easy-to-use dialogs in Web applications