Seeking Edge-on Galaxies with Substantial Extraplanar Dust Using a Radiative Transfer Model: Determination of the Model Parameter Uncertainties for EON_10.477_41.954 (FGC 79)
Jong-Ho Shinn

TL;DR
This study uses Markov-Chain Monte Carlo analysis to accurately estimate uncertainties in a radiative transfer galaxy model, revealing larger confidence intervals than previous estimates, and confirming the galaxy's classification with substantial extraplanar dust.
Contribution
It introduces a rigorous MCMC approach to quantify model parameter uncertainties in galaxy classification, emphasizing the importance of convergence diagnostics.
Findings
Effective sample sizes exceeded 5,650 for all parameters.
Final confidence intervals are 5-100 times larger than previous nominal uncertainties.
Galaxy EON_10.477_41.954 remains classified as having substantial extraplanar dust.
Abstract
We have revisited the target EON_10.477_41.954 in order to determine more accurately the uncertainties in the model parameters that are important for target classification (i.e., galaxies with or without substantial extraplanar dust). We performed a Markov-Chain Monte Carlo (MCMC) analysis for the fifteen parameters of the three-dimensional radiative-transfer galaxy model we used previously for target classification. To investigate the convergence of the MCMC sampling---which is usually neglected in the literature but should not be---we monitored the integrated autocorrelation time (), and we achieved effective sample sizes for all the model parameters. The confidence intervals are unstable at the beginning of the iterations where the values of are increasing, but they become stable in later iterations where those values are almost constant. The final…
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