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The SkyMapper DR1.1 search for extremely metal-poor stars

G. S. Da CostaResearch School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 0200, AustraliaM. S. BessellResearch School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 0200, AustraliaDougal MackeyARC Centre of Excellence for Astrophysics in Three Dimensions (ASTRO-3D), AustraliaThomas NordlanderARC Centre of Excellence for Astrophysics in Three Dimensions (ASTRO-3D), AustraliaM. AsplundARC Centre of Excellence for Astrophysics in Three Dimensions (ASTRO-3D), AustraliaAndrew R. CaseyFaculty of Information Technology, Monash University, Wellington Rd, Clayton, VIC 3800, AustraliaAnna FrebelDepartment of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USAK. LindMax-Planck-Institut für Astronomie, Königstuhl 17, D-69117 Heidelberg, GermanyA. F. MarinoCentro di Ateneo di Studi e Attivita Spaziali ‘Giuseppe Colombo’ – CISAS, Via Venezia 15, I-35131 Padova, ItalySimon J. MurphyResearch School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 0200, AustraliaJohn E. NorrisResearch School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 0200, AustraliaB. SchmidtResearch School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 0200, AustraliaDavid YongARC Centre of Excellence for Astrophysics in Three Dimensions (ASTRO-3D), Australia
2019en
ABI

Abstract

ABSTRACT We present and discuss the results of a search for extremely metal-poor stars based on photometry from data release DR1.1 of the SkyMapper imaging survey of the southern sky. In particular, we outline our photometric selection procedures and describe the low-resolution (R ≈ 3000) spectroscopic follow-up observations that are used to provide estimates of effective temperature, surface gravity, and metallicity ([Fe/H]) for the candidates. The selection process is very efficient: of the 2618 candidates with low-resolution spectra that have photometric metallicity estimates less than or equal to −2.0, 41 per cent have [Fe/H] ≤ −2.75 and only approximately seven per cent have [Fe/H] > −2.0 dex. The most metal-poor candidate in the sample has [Fe/H] < −4.75 and is notably carbon rich. Except at the lowest metallicities ([Fe/H] < −4), the stars observed spectroscopically are dominated by a ‘carbon-normal’ population with [C/Fe]1D, LTE ≤ +1 dex. Consideration of the A(C)1D, LTE versus [Fe/H]1D, LTE diagram suggests that the current selection process is strongly biased against stars with A(C)1D, LTE > 7.3 (predominantly CEMP-s) while any bias against stars with A(C)1D, LTE < 7.3 and [C/Fe]1D,LTE > +1 (predominantly CEMP-no) is not readily quantifiable given the uncertainty in the SkyMapper v-band DR1.1 photometry. We find that the metallicity distribution function of the observed sample has a power-law slope of Δ(Log N)/Δ[Fe/H] = 1.5 ± 0.1 dex per dex for −4.0 ≤ [Fe/H] ≤ −2.75, but appears to drop abruptly at [Fe/H] ≈ −4.2, in line with previous studies.

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