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- per-event evaluates 2-d polar histogram of intensities and subtract it from imaging n-d array. Polarization correction and bin interpolation for imaging n-d array are also included.
- Docs: Radial Background Subtraction Algorithm, self-doc, method polarization_factor, example
Median filter
- input imaging n-d array is treated per event as a set of 2-d frames for two lowest indexes. For each pixel of the 2-d frame median intensity is evaluated using a group of nearest pixels located in the circular region defined by the radial parameter rank (
r≤rank
). If input array has a number of dimensions exceeding 2 the numpy.shape of output array is reduced to 3-d. - Docs: self-doc, method median_filter_ndarr
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Radial background: Radial Background Subtraction Algorithm, self-doc, method polarization_factor, example
Median filter: self-doc, method median_filter_ndarr
Fixed-shape background: self-doc, method subtract_bkgd, example
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