4.6 Article

The fundamental metallicity relation from SDSS (z ∼ 0) to VIPERS (z ∼ 0.7)

期刊

ASTRONOMY & ASTROPHYSICS
卷 663, 期 -, 页码 -

出版社

EDP SCIENCES S A
DOI: 10.1051/0004-6361/202142430

关键词

galaxies: abundances; galaxies: evolution; galaxies: ISM; ISM: abundances

资金

  1. Polish National Science Centre [UMO-2018/30/E/ST9/00082, UMO-2018/30/M/ST9/00757]
  2. Polish Ministry of Science and Higher Education [DIR/WK/2018/12]
  3. First TEAM grant of the Foundation for Polish Science [POIR.04.04.00-00-5D21/18-00]
  4. ESO Very Large Telescope, under the Large Programme [182.A-0886]

向作者/读者索取更多资源

This study focuses on comparing galaxy samples with different characteristics and examines the effects of selection biases on the fundamental metallicity relation (FMR). The results show that the median metallicities of samples at z similar to 0 and z similar to 0.7 are consistent, taking into account the biases. The study also reveals the influence of biases on the FMR projections.
Context. Our knowledge of galaxy metallicity - the result of the integrated star formation history and the evolution of the interstellar medium - is important for constraining the description of galaxy evolution. As such, it has been widely studied in the local Universe, in particular, using data from the Sloan Digital Sky Survey (SDSS). The VIMOS Public Extragalactic Redshift Survey (VIPERS) allows us to extend such studies up to redshift of z similar to 0.7 and to quantify a possible evolution of the galaxy metallicity with high statistical precision. Aims. We focus on how to homogenize the comparison between galaxy samples having different characteristics. We check the projections of the fundamental metallicity relation (FMR) and the evolution of these projections between a sample selected at z similar to 0 (SDSS) and z similar to 0.7 (VIPERS). We check, in particular, whether and to what extent selection criteria can affect the results. Methods. We checked the influence of different biases introduced either by physical constraints (evolution of the luminosity function and differences in the fraction of blue galaxies) or data selection (the signal-to-noise ratio and quality of the spectra) on the FMR and its projections. To separate the differences occurring due to the physical evolution of galaxies with redshift from the false evolution mimed by these biases, we first analyzed the effects of these biases individually on the SDSS sample, and next, starting from the SDSS data, we built a VIPERS-equivalent z similar to 0 sample, replicating the main characteristics of VIPERS sample at z similar to 0.7 for a fair comparison. Results. We found that the FMR projections are all sensitive to biases introduced by the selection on S/N and the quality flags of the emission line measurements in the spectra, especially the [O III] lambda 4959 line. The exception is the metallicity versus the sSFR plane which is insensitive to these biases. The evolution of the luminosity function introduces a bias only in the plane metallicity versus the star formation rate (SFR) while the fraction of blue galaxies has no impact on results. Conclusions. With the applied methodology, the median metallicities estimated in each stellar mass-SFR bin of the samples at z similar to 0 and z similar to 0.7 agree within the uncertainties between SDSS and VIPERS samples (Delta log (O/H) similar to 0.6 s(VIPERS) = 0.08 dex, where s(VIPERS) stands for the metallicity standard deviation, without taking into account the biases). This difference can be reduced to similar to 0.4 s(VIPERS) = 0.06 dex taking into account the biases, in particular the evolution of the luminosity function. We find a shift of the FMR projections towards lower metallicity which can be mimicked by a conservative selection on the S/N of emission lines. We also find either an overselection of high-metal galaxies at low stellar mass or an overestimation of the metallicity for the same sources at z similar to 0.7. Any bias taken into account in this study cannot mimic this overselection or overestimation at low redshift.

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