sep.Background¶
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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: data : 2-d
ndarray
Data array.
mask : 2-d
ndarray
, optionalMask array, optional
maskthresh : float, 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, bh : int, optional
Size of background boxes in pixels. Default is 64.
fw, fh : int, optional
Filter width and height in boxes. Default is 3.
fthresh : float, optional
Filter threshold. Default is 0.0.
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__init__
(data, mask=None, maskthresh=0.0, bw=64, bh=64, fw=3, fh=3, fthresh=0.0)¶
Methods
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. -
back
(dtype=None)¶ Create an array of the background.
Parameters: dtype :
dtype
, optionalData type of output array. Default is the dtype of the original data.
Returns: back :
ndarray
Array with same dimensions as original data.
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globalback
¶ Global background level.
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globalrms
¶ Global background RMS.
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