NOAO >   Observing Info >   Approved Programs >   2017A-0318

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Program Information for 2017A-0318


PI: Kevin Schlaufman, Carnegie Observatories, kschlaufman@jhu.edu
Address: 813 SANTA BARBARA ST, PASADENA, CA 91101-1232 USA

CoI: Andrew Casey, University of Cambridge
CoI: Timothy Beers, U. of Notre Dame
CoI: Vinicius Placco, U. of Notre Dame

Title: An All-Sky Search for the Brightest Metal-poor Stars

Abstract: Metal-poor stars are local relics of the high-redshift Universe. The acquisition of high signal-to-noise spectra for faint metal-poor stars requires a major telescope time commitment though, making the construction of large samples of metal-poor star abundances prohibitively expensive. The HK and HES Surveys have been exhausted of their bright metal-poor star candidates, while saturation in SDSS imaging precludes its use for the identification of bright metal-poor stars. Schlaufman & Casey (2014) used the lack of molecular absorption at 4.6 microns to efficiently identify bright metal-poor stars, and we propose to observe all 690 of their candidate metal-poor stars with V < 13.0 observable in 2017A. We expect to identify more than 230 stars with [Fe/H] < -2.0. The bright metal-poor stars identified from this survey will likely have precise parallaxes and proper motions available in Gaia Data Release 2 (scheduled for the end of 2017). This synthesis of abundances and kinematics has the potential to break the degeneracies between different models for the origin of the most metal-poor stars. These observations combined with our discoveries from past semesters should yield more than 600 bright stars with [Fe/H] < -2 and Gaia parallaxes and proper motions.

Program Type: Standard/Galactic

Scheduled Nights:
Run 1 (2017A):  GEM-NQ/GMOSN -- 202hrs band 4 (GN-2017A-Q-82)
Run 2 (2017A):  GEM-SQ/GMOSS -- 142.5hrs band 4 (GS-2017A-Q-86)


National Optical Astronomy Observatory, 950 North Cherry Avenue, P.O. Box 26732, Tucson, Arizona 85726, Phone: (520) 318-8000, Fax: (520) 318-8360



NOAO >   Observing Info >   Approved Programs >   2017A-0318

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