Gaussian Smooth

Plugin Availability

The plugin will be visible when at least one compatible dataset is loaded.

Smooth spectra or cubes using a Gaussian kernel.

Description

Gaussian Smooth convolves a Gaussian function (kernel) with a Spectrum data object to smooth the data, reducing noise while preserving overall spectral features. The convolution requires a Gaussian standard deviation value (in pixels) which can be entered into the Standard deviation field in the plugin. Smoothing can be applied along the spectral axis or spatial axes (in the case of a spectral cube).

A new Spectrum object is generated and can be added to any spectrum viewers. The object can also be selected and shown in the viewers via the viewer data menus.

Key Features:

• Smooth 1D spectra or 3D cubes

• Configurable smoothing width (stddev)

• Spectral or spatial axis smoothing

• Uncertainty propagation

• Preview before applying

UI Access

Click the Gaussian Smooth icon in the plugin toolbar to open.

API Access

plg = jd.plugins['Gaussian Smooth']
plg.dataset = 'spectrum'
plg.stddev = 3.0  # Standard deviation in pixels
plg.smooth()

API References

Only the following attributes and methods are available through the public plugin API:

• show()

• open_in_tray()

• close_in_tray()

• dataset (DatasetSelect): Dataset to use for computing line statistics.

• mode (SelectPluginComponent) Only available for Cubeviz. Whether to use spatial or spectral smoothing.

• stddev Standard deviation of the gaussian to use for smoothing.

• add_results (AddResults)

• smooth()

For detailed API documentation, see GaussianSmooth.