  Driven by 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, we provide advice 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, and results of any analysis, and the
posterior probabilities that are the Bayesian equivalent of the error bar, to
enable replicability and improve understanding. We believe that this advice,
grounded in our experience working in the field, will enable greater analytical
reproducibility among the reflectometry community, as well as improve the
quality and usability of results.
