NIFTy5: Numerical Information Field Theory v5

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Ada Coda
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NIFTy5: Numerical Information Field Theory v5

Post by Ada Coda » Sat Mar 30, 2019 9:09 pm

NIFTy5: Numerical Information Field Theory v5

Abstract: 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.

Credit: Arras, Philipp; Baltac, Mihai; Ensslin, Torsten A.; Frank, Philipp; Hutschenreuter, Sebastian; Knollmueller, Jakob; Leike, Reimar; Newrzella, Max-Niklas; Platz, Lukas; Reinecke, Martin; Stadler, Julia


Bibcode: 2019ascl.soft03008A

ID: ascl:1903.008
Last edited by Ada Coda on Sun Jul 14, 2019 12:12 am, edited 1 time in total.
Reason: Updated code entry.

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