The human factor: results of a small-angle scattering data analysis Round Robin
Abstrak
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.
Topik & Kata Kunci
Penulis (49)
Brian R. Pauw
Glen J. Smales
Andy S. Anker
Daniel M. Balazs
Frederick L. Beyer
Ralf Bienert
Wim G. Bouwman
Ingo Breßler
Joachim Breternitz
Erik S Brok
Gary Bryant
Andrew J. Clulow
Erin R. Crater
Frédéric De Geuser
Alessandra Del Giudice
Jérôme Deumer
Sabrina Disch
Shankar Dutt
Kilian Frank
Emiliano Fratini
Elliot P. Gilbert
Marc Benjamin Hahn
James Hallett
Max Hohenschutz
Martin Hollamby
Steven Huband
Jan Ilavsky
Johanna K. Jochum
Mikkel Juelsholt
Bradley W. Mansel
Paavo Penttilä
Rebecca K. Pittkowski
Giuseppe Portale
Lilo D. Pozzo
Paulo Ricardo de Abreu Furtado Garcia
Leonhard Rochels
Julian M. Rosalie
Patrick E. J. Saloga
Susanne Seibt
Andrew J. Smith
Gregory N. Smith
Venkatasamy Annadurai
Glenn A. Spiering
Tomasz M. Stawski
Olivier Taché
Andreas F. Thünemann
Kristof Toth
Andrew E. Whitten
Joachim Wuttke
Akses Cepat
- Tahun Terbit
- 2023
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓