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.; Pachajoa, C.; Enßlin, T. A.

doi:10.1051/0004-6361/201321236

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

MPS-Authors

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Selig, M.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons37937

Bell, M. R.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons37400

Junklewitz, H.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons37398

Oppermann, N.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons16134

Reinecke, M.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons104796

Greiner, M.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons16142

Enßlin, T. A.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

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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.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-9B29-0

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