2023/03/07 by Brian R. Pauw, Glen J. Smales, Pauw, Brian R. +95
Chemistry · Health Professions · Materials Science · #Applied Physics (physics.app-ph) #Data Analysis #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Radiation Shielding Materials Analysis #Radioactivity and Radon Measurements #Spectroscopy and Chemometric Analyses #Statistics and Probability (physics.data-an)
paper · doi:10.48550/arxiv.2303.03772
openalex publication_date 2023/03/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
A Round Robin study has been carried out to estimate the impact of the human element in small-angle scattering data analysis. Four corrected datasets were provided to participants ready for analysis. All datasets were measured on samples containing spherical scatterers, with two datasets in dilute dispersions, and two from powders. Most of the 46 participants correctly identified the number of populations in the dilute dispersions, with half of the population mean entries within 1.5% and half of the population width entries within 40%, respectively. Due to the added complexity of the structure factor, much fewer people submitted answers on the powder datasets. For those that did, half of the entries for the means and widths were within 44% and 86% respectively. This Round Robin experiment highlights several causes for the discrepancies, for which solutions are proposed.