  The Bayes factor surface is a new way to present results from experimental
searches for new physics. Searches are regularly expressed in terms of
phenomenological parameters - such as the mass and cross-section of a weakly
interacting massive particle. Bayes factor surfaces indicate the strength of
evidence for or against models relative to the background only model in terms
of the phenomenological parameters that they predict. They provide a clear and
direct measure of evidence, may be easily reinterpreted, but do not depend on
choices of prior or parameterization. We demonstrate the Bayes factor surface
with examples from dark matter, cosmology, and collider physics.
