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class
McNearAbsorptionCorrection
[source] McNears absorption correction, takes in a normalised absorption sinogram and xrf sinogram stack.
- Parameters
in_datasets – A list of the dataset(s) to process. Default: [‘xrf’,’stxm’].
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correct_sino
(Ti_ratio, FFI0_Ti, absorption)[source]
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get_exponent_Ti_mu
(Ti_ratio, absorption, trans_ave_array)[source]
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pre_process
()[source] This method is called immediately after base_pre_process().
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process_frames
(data)[source] This method is called after the plugin has been created by the pipeline framework and forms the main processing step
- Parameters
data (list(np.array)) – A list of numpy arrays for each input dataset.