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License: Academic Free License v3.0
Python implementation of pulse profile scattering deconvolution
License: Academic Free License v3.0
Testing infrastructure and CI strategies have changed a bit. The setup/configs need to be updated.
Will need to implement some way of extracting a confidence metric to assign to the taus values trialled. Probably based on one of the figures of merit that are calculated when searching.
Allowing the definition of multiple on-pulse regions will provide the ability to deconvolve profiles with multiple components.
Also, the reconstructed profiles can looks really noisy even after convolution with a Gaussian equivalent of the true restoring function shape. Are there other factors missing there?
Matplotlib 3.1.1 doesn't seem to play well with this at the moment, specifically complaining with
AttributeError: module 'cairo' has no attribute 'version_info'
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