Utility functions

This section summarizes various useful functions implemented in LumiSpy.

Join spectra

In case several spectra (or spectral images) where subsequently recorded for different, but overlapping spectral windows, LumiSpy provides a utility join_spectra() to merge these into a single spectrum. The main argument is a list of two or more spectral objects. Spectra are joined at the centre of the overlapping range along the signal axis. To avoid steps in the intensity, several parameters (see docstring: join_spectra()) allow to tune the scaling of the later signals with respect to the previous ones. By default, the scaling parameter is determined as average ratio between the two signals in the range of +/- 50 pixels around the centre of the overlapping region.

>>> import lumispy as lum
>>> s = lum.join_spectra((s1,s2))

Utilities for spectral maps

The function crop_edges() removes the specified number of pixels from all four edges of a spectral map. It is a convenience wrapper for the inav method in HyperSpy.

>>> s.crop_edges(crop_px=2)

[TODO: add possibility to crop different amounts of pixels on different sides]

Unit conversion

For convenience, LumiSpy provides functions that convert between different units commonly used for the signal axis. Namely,

For the energy axis, the conversion uses the wavelength-dependent refractive index of air.

Solving the grating equation

The function solve_grating_equation() follows the conventions described in the tutorial from Horiba Scientific.