PowerSpectrum¶

class turbustat.statistics.PowerSpectrum(img, header, weights=None)[source] [edit on github]¶

Bases: object

Compute the power spectrum of a given image. (Burkhart et al., 2010)

Parameters:	img : numpy.ndarray 2D image. header : FITS header The image header. Needed for the pixel scale.

Methods Summary

Methods Documentation

compute_pspec()[source] [edit on github]¶

Compute the 2D power spectrum.

compute_radial_pspec(return_index=True, wavenumber=False, return_stddev=False, azbins=1, binsize=1.0, view=False, **kwargs)[source] [edit on github]¶

Computes the radially averaged power spectrum. This uses Adam Ginsburg’s code (see https://github.com/keflavich/agpy). See the above url for parameter explanations.

run(phys_units=False, verbose=False)[source] [edit on github]¶

Full computation of the Spatial Power Spectrum.

Parameters:	phys_units : bool, optional Sets frequency scale to physical units. verbose: bool, optional Enables plotting.