The first high precision differential abundance analysis of Extremely Metal Poor stars
arXiv:1512.03349 · doi:10.1051/0004-6361/201527439
Abstract
Context: Studies of extremely metal-poor stars indicate that chemical abundance ratios [X/Fe] have an rms scatter as low as 0.05 dex (12 \%). It remains unclear whether this reflects observational uncertainties or intrinsic astrophysical scatter arising from physical conditions in the ISM at early times. Aims: Measure differential chemical abundance ratios in extremely metal-poor stars to investigate the limits of precision and to understand whether cosmic scatter or observational errors are dominant. Methods: We used high resolution (R ) and high S/N (S/N at 5000) HIRES/Keck spectra, to determine high precision differential abundances between two extremely metal-poor stars through a line-by-line differential approach. We determined stellar parameters for the star G64-37 with respect to the standard star G64-12. We performed EW measurements for the two stars for the lines recognized in both stars and performed spectral synthesis to study the carbon abundances. Results: The differential approach allowed us to obtain errors of (T ) 27 K, (log ) 0.06 dex, ([Fe/H]) 0.02 dex and (v ) 0.06 kms. We estimated relative chemical abundances with a precision as low as ([X/Fe]) 0.01 dex. The small uncertainties demonstrate that there are genuine abundance differences larger than the measurement errors. The observed Li difference can not be explained by the difference in mass, because the less massive star has more Li. Conclusions: It is possible to achieve an abundance precision around 0.01-0.05 dex for extremely metal-poor stars, opening new windows on the study of the early chemical evolution of the Galaxy.
8 pages, 3 tables and 4 figures. Accepted for publication in A&A
References in corpus (11)
- A grid of MARCS model atmospheres for late-type stars I. Methods and general properties
- CH in stellar atmospheres: an extensive linelist
- High-precision abundances of elements in solar twin stars: Trends with stellar age and elemental condensation temperature
- 3D Hydrodynamical Simulations of Surface Convection in Red Giant Stars. Impact on spectral line formation and abundance analysis
- Both accurate and precise gf-values for FeII lines
- The Solar Twin Planet Search. I. Fundamental parameters of the stellar sample
- Sulphur and zinc abundances in Galactic halo stars revisited
- The dissimilar chemical composition of the planet-hosting stars of the XO-2 binary system
- The GAPS Programme with HARPS-N at TNG. X. Differential abundances in the XO-2 planet hosting binary
- Shallow extra mixing in solar twins inferred from Be abundances
- 3D stereoscopic analysis of a Coronal Mass Ejection and comparison with UV spectroscopic data
Cited by in corpus (14)
- Accuracy and precision of industrial stellar abundances
- SPIRou: nIR velocimetry & spectropolarimetry at the CFHT
- The R-Process Alliance: First Release from the Northern Search for r-Process Enhanced Metal-Poor Stars in the Galactic Halo
- High-precision stellar abundances of the elements - methods and applications
- Constraining cosmic scatter in the Galactic halo through a differential analysis of metal-poor stars
- G64-12 and G64-37 are Carbon-Enhanced Metal-Poor Stars
- High-resolution spectroscopy of extremely metal-poor stars from SDSS/SEGUE. III. Unevolved Stars with
- SPIRou: a nIR spectropolarimeter / high-precision velocimeter for the CFHT
- Titans metal-poor reference stars. I. Accurate effective temperatures and surface gravities for dwarfs and subgiants from 3D non-LTE H profiles and Gaia parallaxes
- Evidences of extragalactic origin and planet engulfment in the metal-poor twin pair HD 134439/HD 134440
- High-precision abundances of first population stars in NGC 2808: confirmation of a metallicity spread
- Titans metal-poor reference stars II. Red giants and CEMP stars
- Stellar spots cause measurable variations in atmospheric metallicity
- The metal-poorest tail of the Galactic halo: hypothesis on its origin from precise spectral analysis