4.7 Article

KINEMATIC MODELING OF THE MILKY WAY USING THE RAVE AND GCS STELLAR SURVEYS

期刊

ASTROPHYSICAL JOURNAL
卷 793, 期 1, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/793/1/51

关键词

galaxies: fundamental parameters; galaxies: kinematics and dynamics; methods: data analysis; methods: numerical; methods: statistical

资金

  1. ARC DP grant [120104562]
  2. HERMES project
  3. Federation Fellowship from the Australian Research Council (ARC)
  4. Australian Astronomical Observatory
  5. Leibniz-Institut fuer Astrophysik Potsdam (AIP)
  6. Australian National University
  7. Australian-Research Council
  8. French National Research Agency
  9. German Research Foundation [SPP 1177, SFB 881]
  10. European Research Council [ERC-StG 240271 Galactica]
  11. Istituto Nazionale di Astrofisica at Padova
  12. Johns Hopkins University
  13. National Science Foundation of the USA [AST-0908326]
  14. W. M. Keck Foundation
  15. Macquarie University
  16. Netherlands Research School for Astronomy
  17. Natural Sciences and Engineering Research Council of Canada
  18. Slovenian Research Agency
  19. Swiss National Science Foundation
  20. Science & Technology Facilities Council of the UK
  21. Opticon
  22. Strasbourg Observatory
  23. Universities of Groningen, Heidelberg, and Sydney
  24. Science and Technology Facilities Council [PP/D001528/1, ST/J00149X/1, PP/D001242/1, ST/G002479/1, ST/G002509/1, ST/H00243X/1, ST/K000977/1, ST/K00106X/1] Funding Source: researchfish
  25. UK Space Agency [PP/D006570/1, ST/K00056X/1, ST/I000852/1] Funding Source: researchfish
  26. STFC [ST/J00149X/1, PP/D001242/1, ST/G002479/1, PP/D001528/1, ST/K00106X/1, ST/G002509/1, ST/K000977/1] Funding Source: UKRI

向作者/读者索取更多资源

We investigate the kinematic parameters of the Milky Way disk using the Radial Velocity Experiment (RAVE) and Geneva-Copenhagen Survey (GCS) stellar surveys. We do this by fitting a kinematic model to the data and taking the selection function of the data into account. For stars in the GCS we use all phase-space coordinates, but for RAVE stars we use only (l, b, v(los)). Using the Markov Chain Monte Carlo technique, we investigate the full posterior distributions of the parameters given the data. We investigate the age-velocity dispersion relation for the three kinematic components (sigma(R), sigma(phi), sigma(z)), the radial dependence of the velocity dispersions, the solar peculiar motion (U-circle dot, V-circle dot, W-circle dot), the circular speed Theta(0) at the Sun, and the fall of mean azimuthal motion with height above the midplane. We confirm that the Besan, con-style Gaussian model accurately fits the GCS data but fails to match the details of the more spatially extended RAVE survey. In particular, the Shu distribution function (DF) handles noncircular orbits more accurately and provides a better fit to the kinematic data. The Gaussian DF not only fits the data poorly but systematically underestimates the fall of velocity dispersion with radius. The radial scale length of the velocity dispersion profile of the thick disk was found to be smaller than that of the thin disk. We find that correlations exist between a number of parameters, which highlights the importance of doing joint fits. The large size of the RAVE survey allows us to get precise values for most parameters. However, large systematic uncertainties remain, especially in V-0 and Theta(0). We find that, for an extended sample of stars, Theta(0) is underestimated by as much as 10% if the vertical dependence of the mean azimuthal motion is neglected. Using a simple model for vertical dependence of kinematics, we find that it is possible to match the Sgr A* proper motion without any need for V-circle dot being larger than that estimated locally by surveys like GCS.

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