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[ascl:1903.008] NIFTy5: Numerical Information Field Theory v5

NIFTy (Numerical Information Field Theory) facilitates the construction of Bayesian field reconstruction algorithms for fields being defined over multidimensional domains. A NIFTy algorithm can be developed for 1D field inference and then be used in 2D or 3D, on the sphere, or on product spaces thereof. NIFTy5 is a complete redesign of the previous framework (ascl:1302.013), and requires only the specification of a probabilistic generative model for all involved fields and the data in order to be able to recover the former from the latter. This is achieved via Metric Gaussian Variational Inference, which also provides posterior samples for all unknown quantities jointly.

Code site:
https://gitlab.mpcdf.mpg.de/ift/nifty http://ift.pages.mpcdf.de/nifty/
Described in:
https://ui.adsabs.harvard.edu/#abs/2019AnP...53100290S https://ui.adsabs.harvard.edu/#abs/2013A&A...554A..26S
Bibcode:
2019ascl.soft03008A

Views: 492

ascl:1903.008
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