| Issue |
EPJ Web Conf.
Volume 239, 2020
ND 2019: International Conference on Nuclear Data for Science and Technology
|
|
|---|---|---|
| Article Number | 16001 | |
| Number of page(s) | 4 | |
| Section | New Data Formats | |
| DOI | https://doi.org/10.1051/epjconf/202023916001 | |
| Published online | 30 September 2020 | |
https://doi.org/10.1051/epjconf/202023916001
A computational EXFOR database
Division of Applied Nuclear Physics, Uppsala University, Sweden
* Currently at IAEA NAPC-Nuclear Data Section
** e-mail: g.schnabel@iaea.org
Published online: 30 September 2020
The EXFOR library is a useful resource for many people in the field of nuclear physics. In particular, the experimental data in the EXFOR library serves as a starting point for nuclear data evaluations. There is an ongoing discussion about how to make evaluations more transparent and reproducible. One important ingredient may be convenient programmatic access to the data in the EXFOR library from high-level languages. To this end, the complete EXFOR library can be converted to a MongoDB database. This database can be conveniently searched and accessed from a wide variety of programming languages, such as C++, Python, Java, Matlab, and R. This contribution provides some details about the successful conversion of the EXFOR library to a MongoDB database and shows simple usage examples to underline its merits. All codes required for the conversion have been made available online and are open-source. In addition, a Dockerfile has been created to facilitate the installation process.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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