Abstract
The analysis of small-angle X-ray and neutron scattering data is both time-consuming and fraught with the challenges intrinsic to non-linear least squares minimization processes. These difficulties are compounded by the relatively limited information content of the data. The software sas-temper addresses the first two issues by automating the process of repeated, independent fits to a single data set and by automatically analyzing the set of results generated. The output of sas-temper enables the user to easily decide if additional data fitting is required. The plots and the analysis of the set of results also simplify refinement of the parameter search space.
Original language | English |
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Article number | 100849 |
Journal | SoftwareX |
Volume | 16 |
DOIs | |
State | Published - Dec 2021 |
Funding
A portion of this research was sponsored by the Laboratory Directed Research and Development Program ( LDRD-8235 ) of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy. A portion of this research used resources at the Spallation Neutron Source, a DOE Office of Science User Facility operated by the Oak Ridge National Laboratory. This work benefited from the use of the Sasview application, originally developed under NSF award DMR-0520547 . SasView contains code developed with funding from the European Union’s Horizon 2020 research and innovation programme under the SINE2020 project, grant agreement No 654000 . A portion of this research was sponsored by the Laboratory Directed Research and Development Program (LDRD-8235) of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy. A portion of this research used resources at the Spallation Neutron Source, a DOE Office of Science User Facility operated by the Oak Ridge National Laboratory. This work benefited from the use of the Sasview application, originally developed under NSF award DMR-0520547. SasView contains code developed with funding from the European Union's Horizon 2020 research and innovation programme under the SINE2020 project, grant agreement No 654000.
Funders | Funder number |
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National Science Foundation | DMR-0520547 |
U.S. Department of Energy | |
Office of Science | |
Oak Ridge National Laboratory | |
Laboratory Directed Research and Development | LDRD-8235 |
Horizon 2020 Framework Programme | |
Horizon 2020 | 654000 |
Keywords
- Reproducibility characterization
- Simulated annealing
- Small-angle scattering