SIMBAD references

2022MNRAS.514.3984D - Mon. Not. R. Astron. Soc., 514, 3984-3992 (2022/August-2)

An MCMC approach to the three-dimensional structure of the Milky Way bulge using OGLE-IV δ Scuti stars.

DEKA M., DEB S. and KURBAH K.

Abstract (from CDS):

We present an analysis of high-latitude δ Scuti stars (|b| > 1°) in the Galactic bulge region (-8.3 < l < 9.4) using a clean sample of the photometric data of 7440 stars recently released by the OGLE-IV project. The geometrical parameters of the bulge are determined based on Maximum Likelihood (ML) analysis in five-dimensional parameter space. More refined values of these parameters as well as their uncertainties are obtained from a fully Bayesian Markov chain Monte Carlo (MCMC) analysis. Approximating the bulge as an ellipsoid, the distribution of the number density of stars as a function of Galacto-centric distance has been modelled using three distribution functions: two Exponential (E1 E2) types and one Gaussian (G) type. Based on the AIC and BIC values, the exponential model E1 is chosen as the best statistical model for the parameter values obtained from the MCMC analysis. The MCMC analysis yields the following results: the mean distance to the Galactic Centre (GC) is found to be R0 = 8.034 ± 0.012stat ± 0.586sys kpc; the bulge δ Scuti distribution has a triaxial shape with normalized (a ≡ 1) axes ratios (a: b: c) as 1.000 ± 0.005: 0.348 ± 0.002: 0.421 ± 0.002. Here a is the semi-major axis lying in the Galactic plane and pointing towards us; b and c are the two semi-minor axes, the former lying in the Galactic plane and the later perpendicular to it. Smaller values of b as compared to a obtained for Galacto-centric distances R >= 2.0 kpc indicate the presence of a bar-like structure of the bulge with a bar angle of 22. 006 ± 2.078.

Abstract Copyright: © 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society

Journal keyword(s): stars: variables: Scuti - stars: distances - Galaxy: bulge - methods: data analysis - methods: statistical

Simbad objects: 6

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