NIFTY - Numerical Information Field Theory - a versatile Python library for signal inference

@article{Selig2013NIFTYN,
title={NIFTY - Numerical Information Field Theory - a versatile Python library for signal inference},
author={Marco Selig and Michael R. Bell and H. Junklewitz and Niels Oppermann and Martin Reinecke and Maksim Greiner and Carlos Pachajoa and Torsten A. Ensslin},
journal={ArXiv},
year={2013},
volume={abs/1301.4499}
}
• Published 18 January 2013
• Computer Science
• ArXiv
NIFTy, “Numerical Information Field Theory”, is a software package designed to enable the development of signal inference algorithms that operate regardless of the underlying spatial grid and its resolution. Its object-oriented framework is written in Python, although it accesses libraries written in Cython, C++, and C for eciency. NIFTy oers a toolkit that abstracts discretized representations of continuous spaces, fields in these spaces, and operators acting on fields into classes. Thereby…
51 Citations

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