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  NIFTY – Numerical Information Field Theory - A versatile PYTHON library for signal inference

Selig, M., Bell, M. R., Junklewitz, H., Oppermann, N., Reinecke, M., Greiner, M., et al. (2013). NIFTY – Numerical Information Field Theory - A versatile PYTHON library for signal inference. Astronomy & Astrophysics, 554: A26, pp. 1-9. doi:10.1051/0004-6361/201321236.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-9B29-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-3ABA-C
Genre: Journal Article

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 Creators:
Selig, M.1, Author              
Bell, M. R.1, Author              
Junklewitz, H.1, Author              
Oppermann, N.1, Author              
Reinecke, M.1, Author              
Greiner, M.1, Author              
Pachajoa, C., Author
Enßlin, T. A.1, Author              
Affiliations:
1Computational Structure Formation, MPI for Astrophysics, Max Planck Society, ou_2205642              

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Language(s): eng - English
 Dates: 2013-06
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: DOI: 10.1051/0004-6361/201321236
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Title: Astronomy & Astrophysics
  Abbreviation : Astron. Astrophys.
Source Genre: Journal
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Pages: - Volume / Issue: 554 Sequence Number: A26 Start / End Page: 1 - 9 Identifier: ISSN: 0004-6361