Carbon abundances in metal-poor stars

DOI

We develop and test a method for the estimation of metallicities ([Fe/H]) and carbon abundance ratios ([C/Fe]) for carbon-enhanced metal-poor (CEMP) stars based on the application of artificial neural networks, regressions, and synthesis models to medium-resolution (1-2{AA}) spectra and J-K colors. We calibrate this method by comparison with metallicities and carbon abundance determinations for 118 stars with available high-resolution analyses reported in the recent literature.

Cone search capability for table J/AJ/130/2804/calib (Data for calibration stars (tables 1, 3 and 4of the paper))

Cone search capability for table J/AJ/130/2804/program (Data for program stars (tables 6 and 7 of the paper))

Identifier
DOI http://doi.org/10.26093/cds/vizier.51302804
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/AJ/130/2804
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/130/2804
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/AJ/130/2804
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/AJ/130/2804
Provenance
Creator Rossi S.; Beers T.C.; Sneden C.; Sevastyanenko T.; Rhee J.; Marsteller B.
Publisher CDS
Publication Year 2006
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; Interdisciplinary Astronomy; Natural Sciences; Physics; Stellar Astronomy