| Issue |
EPJ Web Conf.
Volume 286, 2023
European Conference on Neutron Scattering 2023 (ECNS 2023)
|
|
|---|---|---|
| Article Number | 06001 | |
| Number of page(s) | 7 | |
| Section | Data Analysis, Software and Simulations | |
| DOI | https://doi.org/10.1051/epjconf/202328606001 | |
| Published online | 09 October 2023 | |
https://doi.org/10.1051/epjconf/202328606001
Quasi Elastic Neutron Scattering model library
1 European Spallation Source ERIC, Ole Maaløes Vej 3, DK-2200 Copenhagen, Denmark
2 Institut Laue Langevin, 38042 Grenoble, France
3 ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Oxford, UK
* e-mail: celine.durniak@ess.eu
Published online: 9 October 2023
This paper reports on the development of a collection of dynamical models of one-dimensional peak profile functions used to fit dynamic structure factors S (Q, ħω) of Quasi Elastic Neutron Scattering (QENS) data. The objective of this development is to create a maintainable and interoperable Python library with models reusable in other projects related to the analysis of data from Quasi Elastic Neutron Scattering experiments. The ambition is that the library also will serve as a platform where scientists can make their models available for others. We illustrate how the library can be used by newcomers to the field as well as by experts via different examples. These examples, provided as Jupyter notebooks, show how the QENS models can be integrated in the whole QENS data processing pipeline.
© The Authors, published by EDP Sciences, 2023
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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