SCF_Distance¶

class turbustat.statistics.SCF_Distance(cube1, cube2, size=11, fiducial_model=None, weighted=True)[source] [edit on github]¶

Bases: object

Calculates the distance between two data cubes based on their SCF surfaces. The distance is the L2 norm between the surfaces. We weight the surface by 1/r^2 where r is the distance from the centre.

Parameters:	cube1 : numpy.ndarray Data cube. cube2 : numpy.ndarray Data cube. size : int, optional Maximum size roll over which SCF will be calculated. fiducial_model : SCF Computed SCF object. Use to avoid recomputing. weighted : bool, optional Sets whether to apply the 1/r^2 weighting to the distance.

Methods Summary

Methods Documentation

distance_metric(verbose=False)[source] [edit on github]¶

Compute the distance between the surfaces.

Parameters:	verbose : bool, optional Enables plotting.