Improved Estimates of the Milky Way's Stellar Mass and Star Formation Rate from Hierarchical Bayesian Meta-Analysis
Timothy C. Licquia, Jeffrey A. Newman

TL;DR
This paper uses hierarchical Bayesian analysis to provide refined estimates of the Milky Way's stellar mass components and star formation rate, integrating literature data with new statistical methods for more accurate galaxy property measurements.
Contribution
It introduces a robust hierarchical Bayesian approach to combine diverse measurements, improving estimates of the Milky Way's stellar mass and star formation rate with quantified uncertainties.
Findings
Milky Way's SFR estimated at 1.65±0.19 M_sun/yr.
Total stellar mass of the Milky Way is 6.08±1.14×10^10 M_sun.
Bulge-to-total mass ratio is approximately 0.15.
Abstract
We present improved estimates of several global properties of the Milky Way, including its current star formation rate (SFR), the stellar mass contained in its disk and bulge+bar components, as well as its total stellar mass. We do so by combining previous measurements from the literature using a hierarchical Bayesian (HB) statistical method that allows us to account for the possibility that any value may be incorrect or have underestimated errors. We show that this method is robust to a wide variety of assumptions about the nature of problems in individual measurements or error estimates. Ultimately, our analysis yields a SFR for the Galaxy of , assuming a Kroupa initial mass function (IMF). By combining HB methods with Monte Carlo simulations that incorporate the latest estimates of the Galactocentric radius of…
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