class photutils.background.MMMBackground(**kwargs)[source]

Bases: photutils.background.ModeEstimatorBackground

Class to calculate the background in an array using the DAOPHOT MMM algorithm.

The background is calculated using a mode estimator of the form (3 * median) - (2 * mean).

sigma_clipastropy.stats.SigmaClip object, optional

A SigmaClip object that defines the sigma clipping parameters. If None then no sigma clipping will be performed. The default is to perform sigma clipping with sigma=3.0 and maxiters=5.


>>> from astropy.stats import SigmaClip
>>> from photutils.background import MMMBackground
>>> data = np.arange(100)
>>> sigma_clip = SigmaClip(sigma=3.0)
>>> bkg = MMMBackground(sigma_clip=sigma_clip)

The background value can be calculated by using the calc_background method, e.g.:

>>> bkg_value = bkg.calc_background(data)
>>> print(bkg_value)  

Alternatively, the background value can be calculated by calling the class instance as a function, e.g.:

>>> bkg_value = bkg(data)
>>> print(bkg_value)