Metallicity gradients in the Milky Way disk as observed by the segue survey

  • Judy Y. Cheng
  • , Constance M. Rockosi
  • , Heather L. Morrison
  • , Ralph A. Schönrich
  • , Young Sun Lee
  • , Timothy C. Beers
  • , Dmitry Bizyaev
  • , Kaike Pan
  • , Donald P. Schneider

Research output: Contribution to journalArticlepeer-review

134 Scopus citations

Abstract

The observed radial and vertical metallicity distribution of old stars in the Milky Way disk provides a powerful constraint on the chemical enrichment and dynamical history of the disk system. We present the radial metallicity gradient, Δ[Fe/H]/ΔR, as a function of height above the plane, |Z|, using 7010 main-sequence turnoff stars observed by the Sloan Extension for Galactic Understanding and Exploration survey. The sample consists of mostly old thin and thick disk stars, with a minimal contribution from the stellar halo, in the region 6 kpc < R < 16kpc, 0.15 kpc < |Z| < 1.5kpc. The data reveal that the radial metallicity gradient becomes flat at heights |Z| > 1kpc. The median metallicity at large |Z| is consistent with the metallicities seen in outer disk open clusters, which exhibit a flat radial gradient at [Fe/H] ∼-0.5. We note that the outer disk clusters are also located at large |Z|; because the flat gradient extends to small R for our sample, there is some ambiguity in whether the observed trends for clusters are due to a change in R or |Z|. We therefore stress the importance of considering both the radial and vertical directions when measuring spatial abundance trends in the disk. The flattening of the gradient at high |Z| also has implications on thick disk formation scenarios, which predict different metallicity patterns in the thick disk. A flat gradient, such as we observe, is predicted by a turbulent disk at high redshift, but may also be consistent with radial migration, as long as mixing is strong. We test our analysis methods using a mock catalog based on the model of Schönrich & Binney, and we estimate our distance errors to be ∼25%. We also show that we can properly correct for selection biases by assigning weights to our targets.

Original languageEnglish (US)
Article number149
JournalAstrophysical Journal
Volume746
Issue number2
DOIs
StatePublished - Feb 20 2012

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

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