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We present Bayesian AGN Decomposition Analysis for SDSS Spectra (BADASS), anopen source spectral analysis code designed for automatic detaileddeconvolution of AGN and host galaxy spectra, implemented in Python, anddesigned for the next generation of large scale surveys. BADASS simultaneouslyfits all spectral components, including power-law continuum, stellarline-of-sight velocity distribution, FeII emission, as well as forbidden(narrow), permitted (broad), and outflow emission line features, all performedusing Markov Chain Monte Carlo to obtain robust uncertainties andautocorrelation analysis to assess parameter convergence. BADASS utilizesmultiprocessing for batch fitting large samples of spectra while efficientlymanaging memory and computation resources and is currently being used in acluster environment to fit thousands of SDSS spectra. We use BADASS to performa correlation analysis of 63 SDSS type 1 AGNs with evidence of strongnon-gravitational outflow kinematics in the [OIII]$\lambda5007$ emissionfeature. We confirm findings from previous studies that show the core of the[OIII] profile is a suitable surrogate for stellar velocity dispersion$\sigma_*$, however there is evidence that the core experiences broadening thatscales with outflow velocity. We find sufficient evidence that $\sigma_*$,[OIII] core dispersion, and the non-gravitational outflow dispersion of the[OIII] profile form a plane whose fit results in a scatter of $\sim0.1$ dex.Finally, we discuss the implications, caveats, and recommendations when usingthe [OIII] dispersion as a surrogate for $\sigma_*$ for the$M_{\rm{BH}}-\sigma_*$ relation.

monthly notices of the royal astronomical society

Bayesian AGN Decomposition Analysis for SDSS Spectra: A Correlation  Analysis of [OIII]$\lambda5007$ Outflow Kinematics with AGN and Host Galaxy  Properties