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  NIFTy 3 – Numerical Information Field Theory: A Python framework for multicomponent signal inference on HPC clusters

Steininger, T., Dixit, J., Frank, P., Greiner, M., Hutschenreuter, S., Knollmüller, J., et al. (2019). NIFTy 3 – Numerical Information Field Theory: A Python framework for multicomponent signal inference on HPC clusters. Annalen der Physik, 531(3): 1800290. doi:10.1002/andp.201800290.

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NIFTy 3 – Numerical Information Field Theory A Python Framework for Multicomponent Signal Inference on HPC Clusters.pdf (Any fulltext), 7MB
 
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 Creators:
Steininger, Theo1, Author           
Dixit, Jait, Author
Frank, Philipp2, Author           
Greiner, Maksim3, Author           
Hutschenreuter, Sebastian2, Author           
Knollmüller, Jakob2, Author           
Leike, Reimar1, Author           
Porqueres, Natalia1, Author           
Pumpe, Daniel2, Author           
Reinecke, Martin, Author
Šraml, Matevž2, Author           
Varady, Csongor, Author
Enßlin, Torsten2, Author           
Affiliations:
1Physical Cosmology, MPI for Astrophysics, Max Planck Society, ou_2205644              
2Computational Structure Formation, MPI for Astrophysics, Max Planck Society, ou_2205642              
3Cosmology, MPI for Astrophysics, Max Planck Society, ou_159876              

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 Dates: 2019-01-23
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/andp.201800290
Other: LOCALID: 3050019
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Title: Annalen der Physik
  Other : Ann. Phys.
Source Genre: Journal
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Publ. Info: Weinheim : Wiley-VCH
Pages: - Volume / Issue: 531 (3) Sequence Number: 1800290 Start / End Page: - Identifier: Other: 0003-3804
CoNE: https://pure.mpg.de/cone/journals/resource/954925379961