arXiv · 1609.07520
Applying Bayesian Inference to Galileon Solutions of the Muon Problem
Abstract
We derive corrections to atomic energy levels from disformal couplings in Galileon theories. Through Bayesian inference, we constrain the cutoff radii and Galileon scale via these corrections. To connect different atomic systems, we assume the various cutoff radii related by a one-parameter family of solutions. This introduces a new parameter $\alpha$ which is also constrained. In this model, we predict shifts to muonic helium of $\delta E_{He^3}=1.97^{+9.28}_{-1.87}$ meV and $\delta E_{He^4}=1.69^{+9.25}_{-1.61}$ meV as well as for true muonium, $\delta E_{TM}=0.06^{+0.46}_{-0.05}$ meV.
Explore related subjects
Keep this discovery
Henry Lamm. 2016-09-23. Applying Bayesian Inference to Galileon Solutions of the Muon Problem. https://doi.org/10.1103/physrevd.94.115007
Cite the original work for its findings. Save a collection to share your selection of sources.