Bayesian MCMC decomposition of the G339.884-1.259 methanol maser spectrum identifies seven velocity components and statistically prefers the Voigt profile over Gaussian or Lorentzian based on AIC, BIC, RMSE, and R².
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Bayesian estimation of spectral parameters of the 6.7-GHz methanol maser G339.884-1.259 from GRAO observations
Bayesian MCMC decomposition of the G339.884-1.259 methanol maser spectrum identifies seven velocity components and statistically prefers the Voigt profile over Gaussian or Lorentzian based on AIC, BIC, RMSE, and R².