Signal1D Tools

The methods described in this section are only available for one-dimensional signals in the Signal1D class.

Cropping

In addition to cropping using the powerful and compact Signal indexing syntax the following method is available to crop spectra using a GUI:

The crop_signal1D(), method is used to crop the spectral energy range. If no parameter is passed, a user interface appears in which to crop the one dimensional signal.

Background removal

The remove_background() method provides background removal capabilities through both a CLI and a GUI. Current background type supported are power law, offset, polynomial and gaussian. By default the background is estimated, but a full fit can also be used. The full fit is more accurate, but slower.

Calibration

The calibrate() method provides a user interface to calibrate the spectral axis.

Alignment

The following methods use sub-pixel cross-correlation or user-provided shifts to align spectra. They support applying the same transformation to multiple files.

  • align1D()
  • shift1D()

Integration

The integrate_in_range() method provides a GUI and a CLI to integrate the 1D signal dimension in a given range using Simpson’s rule.

Data smoothing

The following methods (that include user interfaces when no arguments are passed) can perform data smoothing with different algorithms:

  • smooth_lowess()
  • smooth_tv()
  • smooth_savitzky_golay()

Spike removal

New in version 0.5.

spikes_removal_tool() provides an user interface to remove spikes from spectra.

../_images/spikes_removal_tool.png

Spikes removal tool.

Peak finding

A peak finding routine based on the work of T. O’Haver is available in HyperSpy through the find_peaks1D_ohaver() method.

Other methods

  • Interpolate the spectra in between two positions interpolate_in_between()
  • Convolve the spectra with a gaussian gaussian_filter()
  • Apply a hanning taper to the spectra hanning_taper()