Journal Article

IMPULSE-2023-00053

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Advice on describing Bayesian analysis of neutron and X-ray reflectometry

McCluskey, A. R. (Corresponding author) ; Caruana, A. J. ; Kinane, C. J. ; Armstrong, A. J. ; Arnold, T. ; Cooper, J. F. K. ; Cortie, D. L. ; Hughes, A. V. ; Moulin, J.-F.MLZ* ; Nelson, A. R. J. ; Potrzebowski, W. ; Starostin, V.

2023
Wiley-Blackwell [Erscheinungsort nicht ermittelbar]

Please use a persistent id in citations: doi:10.1107/S1600576722011426

Abstract: As a result of the availability of modern software and hardware, Bayesian analysis is becoming more popular in neutron and X-ray reflectometry analysis. The understandability and replicability of these analyses may be harmed by inconsistencies in how the probability distributions central to Bayesian methods are represented in the literature. Herein advice is provided on how to report the results of Bayesian analysis as applied to neutron and X-ray reflectometry. This includes the clear reporting of initial starting conditions, the prior probabilities, the results of any analysis and the posterior probabilities that are the Bayesian equivalent of the error bar, to enable replicability and improve understanding. It is believed that this advice, grounded in the authors’ experience working in the field, will enable greater analytical reproducibility in the work of the reflectometry community, and improve the quality and usability of results.

Keyword(s): Instrument and Method Development (1st) ; Instrument and Method Development (2nd) ; Condensed Matter Physics (2nd)

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Contributing Institute(s):

1. REFSANS (REFSANS)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2023

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Wiley ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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