$\boldsymbol{B_c}$ Meson Spectroscopy from Bayesian MCMC: Probing Confinement and State Mixing
Christas Mony A., Rohit Dhir

TL;DR
This paper employs Bayesian MCMC to analyze the $B_c$ meson spectrum using Cornell potentials, exploring how potential modifications affect predictions and providing uncertainty-quantified benchmarks for experiments.
Contribution
It introduces a Bayesian approach with MCMC to study $B_c$ mesons using modified potentials, systematically propagating uncertainties and analyzing state mixing and confinement effects.
Findings
Both potentials reproduce known states within uncertainties.
Higher excited states show increased uncertainty and nonlinearity in Regge trajectories.
Logarithmic potential shifts higher excited state predictions systematically.
Abstract
We present a comprehensive Bayesian study of the meson spectrum using non-relativistic Cornell and logarithmically modified Cornell potentials, introducing the logarithmic term as the minimal deformation that preserves short-range Coulombic and long-range linear confinement while adding controlled flexibility at intermediate distances to probe the sensitivity of higher excited states to the confining form. Model parameters are sampled via Markov chain Monte Carlo (MCMC), enabling rigorous propagation of correlated uncertainties to all predictions. Spin-dependent interactions are treated perturbatively, with unequal heavy-quark masses accounted for consistently. Both potentials reproduce the known states within uncertainties, with small errors for low-lying states that grow for higher radial and orbital excitations. Analyzing radial and orbital Regge trajectories using linear and…
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