A recalibration of strong-line oxygen abundance diagnostics via the direct method and implications for the high-redshift universe
We use direct method oxygen abundances in combination with strong optical emission lines, stellar masses (M ⋆), and star formation rates (SFRs) to recalibrate the N2, O3N2, and N2O2 oxygen abundance diagnostics. We stack spectra of ∼200 000 star-forming galaxies from the Sloan Digital Sky Survey in...
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Published in: | Monthly notices of the Royal Astronomical Society Vol. 458; no. 2; pp. 1529 - 1547 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
London
Oxford University Press
11-05-2016
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Subjects: | |
Online Access: | Get full text |
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Summary: | We use direct method oxygen abundances in combination with strong optical emission lines, stellar masses (M
⋆), and star formation rates (SFRs) to recalibrate the N2, O3N2, and N2O2 oxygen abundance diagnostics. We stack spectra of ∼200 000 star-forming galaxies from the Sloan Digital Sky Survey in bins of M
⋆ and SFR offset from the star-forming main sequence (
$ {\Delta \log (SSFR)}$
) to measure the weak emission lines needed to apply the direct method. All three new calibrations are reliable to within ±0.10 dex from log (M
⋆/M⊙) ∼ 7.5–10.5 and up to at least 200 M⊙ yr−1 in SFR. The N2O2 diagnostic is the least subject to systematic biases. We apply the diagnostics to galaxies in the local Universe and investigate the M
⋆–Z–SFR relation. The N2 and O3N2 diagnostics suggest the SFR dependence of the M
⋆–Z–SFR relation varies with both M
⋆ and
${\Delta \log (SSFR)}$
, whereas the N2O2 diagnostic suggests a nearly constant dependence on SFR. We apply our calibrations to a sample of high-redshift galaxies from the literature, and find them to be metal-poor relative to local galaxies with similar M
⋆ and SFR. The calibrations do reproduce direct method abundances of the local analogues. We conclude that the M
⋆–Z–SFR relation evolves with redshift. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1093/mnras/stw392 |