English

Applying Bayesian Inference to Galileon Solutions of the Muon Problem

High Energy Physics - Phenomenology 2016-12-08 v3

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 α\alpha which is also constrained. In this model, we predict shifts to muonic helium of δEHe3=1.971.87+9.28\delta E_{He^3}=1.97^{+9.28}_{-1.87} meV and δEHe4=1.691.61+9.25\delta E_{He^4}=1.69^{+9.25}_{-1.61} meV as well as for true muonium, δETM=0.060.05+0.46\delta E_{TM}=0.06^{+0.46}_{-0.05} meV.

Keywords

Cite

@article{arxiv.1609.07520,
  title  = {Applying Bayesian Inference to Galileon Solutions of the Muon Problem},
  author = {Henry Lamm},
  journal= {arXiv preprint arXiv:1609.07520},
  year   = {2016}
}

Comments

8 pages, 2 figures, updated to match journal version