Maximum entropy estimation of the Galactic bulge morphology via the VVV Red Clump

ABSTRACT The abundance and narrow magnitude dispersion of Red Clump (RC) stars make them a popular candidate for mapping the morphology of the bulge region of the Milky Way. Using an estimate of the RC’s intrinsic luminosity function, we extracted the three-dimensional density distribution of the RC...

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Veröffentlicht in:Monthly notices of the Royal Astronomical Society 2020-07, Vol.495 (3), p.3350-3372
Hauptverfasser: Coleman, B, Paterson, D, Gordon, C, Macias, O, Ploeg, H
Format: Artikel
Sprache:eng
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Zusammenfassung:ABSTRACT The abundance and narrow magnitude dispersion of Red Clump (RC) stars make them a popular candidate for mapping the morphology of the bulge region of the Milky Way. Using an estimate of the RC’s intrinsic luminosity function, we extracted the three-dimensional density distribution of the RC from deep photometric catalogues of the VISTA Variables in the Via Lactea (VVV) survey. We used maximum entropy-based deconvolution to extract the spatial distribution of the bulge from Ks-band star counts. We obtained our extrapolated non-parametric model of the bulge over the inner 40° × 40° region of the Galactic centre. Our reconstruction also naturally matches on to a parametric fit to the bulge outside the VVV region and inpaints overcrowded and high extinction regions. We found a range of bulge properties consistent with other recent investigations based on the VVV data. In particular, we estimated the bulge mass to be in the range $[1.3,1.7]\times 10^{10} \, \mathrm{M}_\odot$, the X-component to be between 18 per cent and 25 per cent of the bulge mass, and the bulge angle with respect to the Sun–Galactic centre line to be between 18° and 32°. Studies of the FermiLarge Area Telescope (LAT) gamma-ray Galactic centre excess suggest that the excess may be traced by Galactic bulge distributed sources. We applied our deconvolved density in a template fitting analysis of this Fermi–LAT GeV excess and found an improvement in the fit compared to previous parametric-based templates.
ISSN:0035-8711
1365-2966
DOI:10.1093/mnras/staa1281