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

MPS-Authors
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Steininger,  Theo
Physical Cosmology, MPI for Astrophysics, Max Planck Society;

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Frank,  Philipp
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons104796

Greiner,  Maksim
Cosmology, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons209463

Hutschenreuter,  Sebastian
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons212631

Knollmüller,  Jakob
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons202009

Leike,  Reimar
Physical Cosmology, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons220933

Porqueres,  Natalia
Physical Cosmology, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons191989

Pumpe,  Daniel
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons232834

Šraml,  Matevž
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons16142

Enßlin,  Torsten
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

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Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-0003-74BE-5
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