A cautionary tale in fitting galaxy rotation curves with Bayesian techniques: does Newton's constant vary from galaxy to galaxy?
arXiv:2101.11644 · doi:10.1051/0004-6361/202040101
Abstract
The application of Bayesian techniques to astronomical data is generally non-trivial because the fitting parameters can be strongly degenerated and the formal uncertainties are themselves uncertain. An example is provided by the contradictory claims over the presence or absence of a universal acceleration scale (g) in galaxies based on Bayesian fits to rotation curves. To illustrate the situation, we present an analysis in which the Newtonian gravitational constant is allowed to vary from galaxy to galaxy when fitting rotation curves from the SPARC database, in analogy to in the recently debated Bayesian analyses. When imposing flat priors on , we obtain a wide distribution of which, taken at face value, would rule out as a universal constant with high statistical confidence. However, imposing an empirically motivated log-normal prior returns a virtually constant with no sacrifice in fit quality. This implies that the inference of a variable (or g) is the result of the combined effect of parameter degeneracies and unavoidable uncertainties in the error model. When these effects are taken into account, the SPARC data are consistent with a constant (and constant ).
Accepted for publication in A&A Letters
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