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Assessing pseudo-automatic model analysis of small-angle scattering data batches from precipitation in alloys
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DOI：10.1016/j.cpc.2026.110301.png)
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Abstract
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• The applied separable fitting approach allows for a rapid starting guess function. • Decoupled fitting improves convergence rate and reduces the computational wall-time. • The form factor intensity models suffer from pronounced parameter correlations. • The proposed solution strategy is packaged into a modular framework named pySASA.
Keywords:
Small-angle scattering
Separable nonlinear least-squares
Parallelization,
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