Neutron imaging analysis using jupyter Python notebook

Journal Article · 30 August 2019 · Journal of Physics Communications

DOI: https://doi.org/10.1088/2399-6528/ab3bea · OSTI ID:1564375

Bilheux, Jean-Christophe ; Bilheux, Hassina ; Lin, Jiao ; Lumsden, Ian; Zhang, Yuxuan

Abstract Independently of the image modality (x-rays, neutrons, etc), image data analysis requires normalization, a preprocessing step. While the normalization can sometimes easily be generalized, the analysis is, in most cases, specific to an experiment and a sample. Although many tools (MATLAB, ImageJ, VG Studio…) offer a large collection of pre-programmed image analysis tools, they usually require a learning step that can be lengthy depending on the skills of the end user. We have implemented Jupyter Python notebooks to allow easy and straightforward data analysis, along with live interaction with the data. Jupyter notebooks require little programming knowledge and the steep learning curve is bypassed. Most importantly, each notebook can be tailored to a specific experiment and sample with minimized effort. Here, we present the pros and cons of the main methods to analyse data and show the reason why we have found that Jupyter Python notebooks are well suited for imaging data processing, visualization and analysis.

• Sponsoring Organization: USDOE Office of Science (SC), Basic Energy Sciences (BES)
• OSTI ID: 1564375
• Journal Information: Journal of Physics Communications, Journal Name: Journal of Physics Communications Journal Issue: 8 Vol. 3; ISSN 2399-6528
• Publisher: IOP PublishingCopyright Statement
• Country of Publication: United Kingdom
• Language: English