DeltaVariance¶

class turbustat.statistics.DeltaVariance(img, header, weights=None, diam_ratio=1.5, lags=None)[source] [edit on github]¶

Bases: object

The delta-variance technique as described in Ossenkopf et al. (2008).

Parameters:	img : numpy.ndarray The image calculate the delta-variance of. header : FITS header Image header. weights : numpy.ndarray Weights to be used. diam_ratio : float, optional The ratio between the kernel sizes. lags : numpy.ndarray or list, optional The pixel scales to compute the delta-variance at.

Methods Summary

Methods Documentation

compute_deltavar(bootstrap=False, nsamples=100, alpha=0.05)[source] [edit on github]¶

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

run(bootstrap=False, verbose=False, ang_units=True)[source] [edit on github]¶