The human factor: results of a small-angle scattering data analysis round robin

Brian R. Pauw*, Glen J. Smales, Andy S. Anker, Venkatasamy Annadurai, Daniel M. Balazs, 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 FratiniPaulo R.A.F. Garcia, Elliot P. Gilbert, Marc B. 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, Leonhard Rochels, Julian M. Rosalie, Patrick E.J. Saloga, Susanne Seibt, Andrew J. Smith, Gregory N. Smith, Glenn A. Spiering, Tomasz M. Stawski, Olivier Taché, Andreas F. Thünemann, Kristof Toth, Andrew E. Whitten, Joachim Wuttke

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

836 Lataukset (Pure)

Abstrakti

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%. Due to the added complexity of the structure factor, far 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.

AlkuperäiskieliEnglanti
Sivut1618-1629
Sivumäärä12
JulkaisuJournal of Applied Crystallography
Vuosikerta56
Numero6 Pt
DOI - pysyväislinkit
TilaJulkaistu - 1 jouluk. 2023
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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