The paper predicts effective true muonium production cross sections of 1.23 μb in 200 GeV AuAu and 14.2 μb in 5.02 TeV PbPb collisions, corresponding to O(10^4) and O(10^5) atoms per billion central events.
Applying Bayesian Inference to Galileon Solutions of the Muon Problem
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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.
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Searching for True Muonium in Relativistic Heavy Ion Collisions
The paper predicts effective true muonium production cross sections of 1.23 μb in 200 GeV AuAu and 14.2 μb in 5.02 TeV PbPb collisions, corresponding to O(10^4) and O(10^5) atoms per billion central events.