Using H-bump to identify RSGs in NGC6822

DOI

We present a case study in which we used a novel method to identify red supergiant (RSG) candidates in NGC 6822 based on their 1.6um H-bump. We collected 32 bands of photometric data for NGC 6822 ranging from the optical to the mid-infrared (MIR), derived from Gaia, PS1, LGGS, VHS, UKIRT, IRSF, HAWK-I, Spitzer, and WISE. Using the theoretical spectra from MARCS, we demonstrate that there is a prominent difference around 1.6um (H-bump) between targets with high and low surface gravity (HSG and LSG). Taking advantage of this feature, we identify efficient color-color diagrams of rzH (r-z versus z-H) and rzK (r-z versus z-K) to separate HSG (mostly foreground dwarfs) and LSG targets (mainly background red giant stars, asymptotic giant branch stars, and RSGs) from crossmatching of optical and near-infrared (NIR) data. Moreover, synthetic photometry from ATLAS9 gives similar results. We further separated RSG candidates from the remaining LSG candidates as determined by the H-bump method by using semi-empirical criteria on NIR color-magnitude diagrams, where both the theoretic cuts and morphology of the RSG population are considered. This separation produced 323 RSG candidates. The simulation of foreground stars with Besancon models also indicates that our selection criteria are largely free from the contamination of Galactic giants. In addition to the H-bump method, we used the traditional BVR method (B-V versus V-R) as a comparison and/or supplement by applying a slightly aggressive cut to select as many RSG candidates as possible (358 targets). Furthermore, the Gaia astrometric solution was used to constrain the sample, where 181 and 193 targets were selected with the H-bump and BVR method, respectively. The percentages of selected targets in the two methods are similar at ~60%, indicating a comparable accuracy of the two methods. In total, there are 234 RSG candidates after combining targets from the two methods, and 140 (~60%) of them are in common. The final RSG candidates are in the expected locations on the mid-infrared color-magnitude diagram with [3.6]-[4.5]<~0 and J-[8.0]~1.0. The spatial distribution is also coincident with the far-ultraviolet-selected star formation regions, suggesting that the selection is reasonable and reliable. We indicate that our method can also be used to identify other LSG targets, such as red giants and asymptotic giant branch stars, and it can also be applied to most of the nearby galaxies by using recent large-scale ground-based surveys. Future ground- and space-based facilities may promote its application beyond the Local Group.

Cone search capability for table J/A+A/647/A167/rsg (Catalog of 234 identified RSG candidates (table 2))

Cone search capability for table J/A+A/647/A167/gaia (Gaia photometric catalog (table A2))

Cone search capability for table J/A+A/647/A167/ps1 (PS1 photometric catalog (table A1))

Cone search capability for table J/A+A/647/A167/lggs (LGGS photometric catalog (table A3))

Cone search capability for table J/A+A/647/A167/ukirt (UKIRT photometric catalog (table A4))

Cone search capability for table J/A+A/647/A167/vhs (VHS photometric catalog (table A5))

Cone search capability for table J/A+A/647/A167/irsf (IRSF photometric catalog (table A6))

Cone search capability for table J/A+A/647/A167/hawki (HAWK-I photometric catalog ((table A7))

Cone search capability for table J/A+A/647/A167/spitzer (Spitzer photometric catalog (table A8))

Cone search capability for table J/A+A/647/A167/wise (WISE photometric catalog (table A9))

Identifier
DOI http://doi.org/10.26093/cds/vizier.36470167
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/A+A/647/A167
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/647/A167
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/647/A167
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/A+A/647/A167
Provenance
Creator Yang M.; Bonanos A.Z.; Jiang B.W.; Lam M.I.; Gao J.; Gavras P.,Maravelias G.; Wang S.; Chen X.D.; Tramper F.; Ren Y.; Spetsieri Z.T.
Publisher CDS
Publication Year 2021
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Cosmology; Galactic and extragalactic Astronomy; Natural Sciences; Physics; Stellar Astronomy