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WillItFit: a framework for fitting of constrained models to small-angle scattering data
A software framework for analysis of small‐angle scattering data is presented. On the basis of molecular constraints and prior knowledge of the chemical composition of the sample, the software is capable of simultaneously fitting small‐angle X‐ray and neutron scattering data to analytical or semi‐an...
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Published in: | Journal of applied crystallography 2013-12, Vol.46 (6), p.1894-1898 |
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container_end_page | 1898 |
container_issue | 6 |
container_start_page | 1894 |
container_title | Journal of applied crystallography |
container_volume | 46 |
creator | Pedersen, Martin Cramer Arleth, Lise Mortensen, Kell |
description | A software framework for analysis of small‐angle scattering data is presented. On the basis of molecular constraints and prior knowledge of the chemical composition of the sample, the software is capable of simultaneously fitting small‐angle X‐ray and neutron scattering data to analytical or semi‐analytical models of biomacromolecules. The software features various fitting routines along with the possibility of incorporating instrumental resolution effects on the fit. Finally, trust region estimation, based on the profile likelihood strategy, is implemented. The algorithms and models are written in C, whereas the user interface is written in Python. Parallelization is implemented using the OpenMP extensions to C. The source code is available for free upon request or via the associated code repository. The software runs on Linux, Windows and OSX and is available as an open‐source initiative published under the General Publishing License. |
doi_str_mv | 10.1107/S0021889813026022 |
format | article |
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On the basis of molecular constraints and prior knowledge of the chemical composition of the sample, the software is capable of simultaneously fitting small‐angle X‐ray and neutron scattering data to analytical or semi‐analytical models of biomacromolecules. The software features various fitting routines along with the possibility of incorporating instrumental resolution effects on the fit. Finally, trust region estimation, based on the profile likelihood strategy, is implemented. The algorithms and models are written in C, whereas the user interface is written in Python. Parallelization is implemented using the OpenMP extensions to C. The source code is available for free upon request or via the associated code repository. 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subjects | Algorithms biomacromolecules computer programs Crystallography Scattering small-angle scattering Software WillItFit |
title | WillItFit: a framework for fitting of constrained models to small-angle scattering data |
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