Everything SAXS: Small-angle scattering pattern collection and correction
Brian Richard Pauw

TL;DR
This paper provides a comprehensive overview of data collection and correction techniques in Small-Angle Scattering (SAS), emphasizing the importance of data quality and error estimation for reliable nanostructural analysis.
Contribution
It systematically reviews all data correction steps in SAS, offering mathematical descriptions and error propagation methods to improve data reliability.
Findings
Detailed correction procedures for SAS data
Mathematical frameworks for correction and error estimation
Guidelines for high-quality nanostructural data analysis
Abstract
For obtaining reliable nanostructural details of large amounts of sample --- and if it is applicable --- Small-Angle Scattering (SAS) is a prime technique to use. It promises to obtain bulk-scale, statistically sound information on the morphological details of the nanostructure, and has thus led to many a researcher investing their time in it over the last eight decades of development. Due to pressure both from scientists requesting more details on increasingly complex nanostructures, as well as the ever improving instrumentation leaving less margin for ambiguity, small-angle scattering methodologies have been evolving at a high pace over the last few decades. As the quality of any results can only be as good as the data that goes into these methodologies, the improvements in data collection and all imaginable data correction steps are reviewed here. This work is intended to provide a…
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