Jupyter Notebooks for Neutron Radiography Data Processing and Analysis

Jupyter Notebooks for Neutron Radiography Data Processing and Analysis

Jean-Christophe Bilheux, Jiao Y. Y. Lin, Hassina Z. Bilheuxc

Abstract. Neutron radiography and computed tomography encompass a vibrant range of scientific applications, requiring advanced technique development and cutting-edge data processing and analysis software. We have developed an extensive portfolio of Python-based Jupyter notebooks that are custom-made for a specific experiment and sample geometry. These notebooks do not require any programming skills, although the code is accessible to programming experts if they wish to modify it. The notebooks are available on our analysis servers where the imaging data is also stored, preventing unnecessary and lengthy data transfer. This manuscript gives an overview of our efforts to empower the research community, that uses both the Spallation Neutron Source and High Flux Isotope Reactor imaging capabilities, to process and analyze their data in collaboration with our imaging team.

Keywords
Notebooks, Jupyter, Python, Neutron, Imaging, Analysis, Normalization

Published online 1/5/2020, 7 pages
Copyright © 2020 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Jean-Christophe Bilheux, Jiao Y. Y. Lin, Hassina Z. Bilheuxc, Jupyter Notebooks for Neutron Radiography Data Processing and Analysis, Materials Research Proceedings, Vol. 15, pp 198-204, 2020

DOI: https://doi.org/10.21741/9781644900574-31

The article was published as article 31 of the book Neutron Radiography

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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