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Citing
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If you used this codebase or any software making use of it in a scientific publication, we ask you to cite the following paper:

    Nicuşan AL, Windows-Yule CR. Positron emission particle tracking using machine learning. Review of Scientific Instruments. 2020 Jan 1;91(1):013329.
    https://doi.org/10.1063/1.5129251


Because `pept` is a project bringing together the expertise of many people, it hosts multiple algorithms that were developed and published in other papers. Please check the documentation of the `pept` algorithms you are using in your research and cite the original papers mentioned accordingly.



References
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Papers presenting PEPT algorithms included in this library: [1]_, [2]_, [3]_.

.. [1] Parker DJ, Broadbent CJ, Fowles P, Hawkesworth MR, McNeil P. Positron
   emission particle tracking-a technique for studying flow within engineering
   equipment. Nuclear Instruments and Methods in Physics Research Section A:
   Accelerators, Spectrometers, Detectors and Associated Equipment. 1993
   Mar 10;326(3):592-607.
.. [2] Nicuşan AL, Windows-Yule CR. Positron emission particle tracking using
   machine learning. Review of Scientific Instruments. 2020 Jan 1;91(1):013329.
.. [3] Wiggins C, Santos R, Ruggles A. A feature point identification method
   for positron emission particle tracking with multiple tracers. Nuclear
   Instruments and Methods in Physics Research Section A: Accelerators,
   Spectrometers, Detectors and Associated Equipment. 2017 Jan 21;843:22-8.