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This algorithm is intended to subtract background from images with quasi-symmetric radial distribution of intensities. For example, water ring background:
To evaluate background in data, n-d array of data is split for 2-d bins in polar coordinate frame, total intensity and number of involved pixels are counted for each bin and converted to the average bin intensity.
Then this averaged intensity is per-pixel subtracted form data n-d array.
Description
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Input per-pixel coordinates passed in numpy arrays xarr, yarr are used to evaluate per-pixel radius and polar angle:
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Averaged background intensity for default and non-default binning cases (nradbins is changed to 100nphibins=8, nradbins=500):
Results
Background subtracted data for default and non-default binning cases:
References
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Overview
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