Bayesian analysis of resolved stellar spectra: application to MMT/Hectochelle Observations of the Draco dwarf spheroidal
Matthew G. Walker, Edward W. Olszewski, Mario Mateo

TL;DR
This paper presents a Bayesian spectral fitting method to derive stellar parameters from faint resolved spectra, applied to Draco dwarf spheroidal galaxy observations, effectively identifying galaxy members and interlopers.
Contribution
The paper introduces a novel Bayesian approach for analyzing stellar spectra to simultaneously estimate multiple physical parameters with quantified uncertainties.
Findings
Successfully applied to thousands of spectra from Draco dSph
Achieved median errors of 0.88 km/s in velocity and 0.20 dex in metallicity
Identified approximately 470 likely Draco galaxy members
Abstract
We introduce a Bayesian method for fitting faint, resolved stellar spectra in order to obtain simultaneous estimates of redshift and stellar-atmospheric parameters. We apply the method to thousands of spectra---covering 5160-5280 Angs. at resolution R~20,000---that we have acquired with the MMT/Hectochelle fibre spectrograph for red-giant and horizontal branch candidates along the line of sight to the Milky Way's dwarf spheroidal satellite in Draco. The observed stars subtend an area of ~4 deg^2, extending ~3 times beyond Draco's nominal `tidal' radius. For each spectrum we tabulate the first four moments---central value, variance, skewness and kurtosis---of posterior probability distribution functions representing estimates of the following physical parameters: line-of-sight velocity v_los, effective temperature (T_eff), surface gravity (logg) and metallicity ([Fe/H]). After rejecting…
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