sep.Background

class sep.Background(data, mask=None, maskthresh=0.0, bw=64, bh=64, fw=3, fh=3, fthresh=0.0)

Representation of spatially variable image background and noise.

Parameters

data2-d ndarray

Data array.

mask2-d ndarray, optional

Mask array, optional

maskthreshfloat, optional

Mask threshold. This is the inclusive upper limit on the mask value in order for the corresponding pixel to be unmasked. For boolean arrays, False and True are interpreted as 0 and 1, respectively. Thus, given a threshold of zero, True corresponds to masked and False corresponds to unmasked.

bw, bhint, optional

Size of background boxes in pixels. Default is 64.

fw, fhint, optional

Filter width and height in boxes. Default is 3.

fthreshfloat, optional

Filter threshold. Default is 0.0.

__init__(data, mask=None, maskthresh=0.0, bw=64, bh=64, fw=3, fh=3, fthresh=0.0)

Methods

__init__(data[, mask, maskthresh, bw, bh, ...])
back([dtype])	Create an array of the background.
rms([dtype])	Create an array of the background rms.
subfrom(data)	Subtract the background from an existing array.

Attributes

globalback	Global background level.
globalrms	Global background RMS.