Backgrounds (photutils.background)

This subpackage contains tools to estimate the background and background RMS in an image.

Classes

Background2D(data, box_size, *[, mask, ...])	Class to estimate a 2D background and background RMS noise in an image.
BackgroundBase([sigma_clip])	Base class for classes that estimate scalar background values.
BackgroundRMSBase([sigma_clip])	Base class for classes that estimate scalar background RMS values.
BiweightLocationBackground([c, M, sigma_clip])	Class to calculate the background in an array using the biweight location.
BiweightScaleBackgroundRMS([c, M, sigma_clip])	Class to calculate the background RMS in an array as the (sigma- clipped) biweight scale.
BkgIDWInterpolator(*[, leafsize, ...])	This class generates full-sized background and background RMS images from lower-resolution mesh images using inverse-distance weighting (IDW) interpolation (ShepardIDWInterpolator).
BkgZoomInterpolator(*[, order, mode, cval, ...])	This class generates full-sized background and background RMS images from lower-resolution mesh images using the zoom (spline) interpolator.
LocalBackground(inner_radius, outer_radius)	Class to compute a local background using a circular annulus aperture.
MADStdBackgroundRMS([sigma_clip])	Class to calculate the background RMS in an array as using the median absolute deviation (MAD).
MMMBackground([sigma_clip])	Class to calculate the background in an array using the DAOPHOT MMM algorithm.
MeanBackground([sigma_clip])	Class to calculate the background in an array as the (sigma-clipped) mean.
MedianBackground([sigma_clip])	Class to calculate the background in an array as the (sigma-clipped) median.
ModeEstimatorBackground([median_factor, ...])	Class to calculate the background in an array using a mode estimator of the form (median_factor * median) - (mean_factor * mean).
SExtractorBackground([sigma_clip])	Class to calculate the background in an array using the Source Extractor algorithm.
StdBackgroundRMS([sigma_clip])	Class to calculate the background RMS in an array as the (sigma- clipped) standard deviation.

Class Inheritance Diagram