Sign on

SAO/NASA ADS Astronomy Abstract Service


· Find Similar Abstracts (with default settings below)
· Electronic Refereed Journal Article (HTML)
· Full Refereed Journal Article (PDF/Postscript)
· arXiv e-print (arXiv:0905.2980)
· References in the article
· Citations to the Article (9) (Citation History)
· Refereed Citations to the Article
· SIMBAD Objects (99)
· Also-Read Articles (Reads History)
·
· Translate This Page
Title:
The Velocity Distribution of Nearby Stars from Hipparcos Data. I. The Significance of the Moving Groups
Authors:
Bovy, Jo; Hogg, David W.; Roweis, Sam T.
Affiliation:
AA(Center for Cosmology and Particle Physics, Department of Physics, New York University, 4 Washington Place, New York, NY 10003, USA ), AB(Center for Cosmology and Particle Physics, Department of Physics, New York University, 4 Washington Place, New York, NY 10003, USA ; Max-Planck-Institut für Astronomie, Königstuhl 17, D-69117 Heidelberg, Germany ), AC(Department of Computer Science, University of Toronto, 6 King's College Road, Toronto, Ontario M5S 3G4, Canada ; Google Inc., Mountain View, CA, USA)
Publication:
The Astrophysical Journal, Volume 700, Issue 2, pp. 1794-1819 (2009). (ApJ Homepage)
Publication Date:
08/2009
Origin:
IOP
ApJ Keywords:
Galaxy: kinematics and dynamics, Galaxy: structure, methods: statistical, solar neighborhood, stars: kinematics, techniques: radial velocities
DOI:
10.1088/0004-637X/700/2/1794
Bibliographic Code:
2009ApJ...700.1794B

Abstract

We present a three-dimensional reconstruction of the velocity distribution of nearby stars (lsim100 pc) using a maximum likelihood density estimation technique applied to the two-dimensional tangential velocities of stars. The underlying distribution is modeled as a mixture of Gaussian components. The algorithm reconstructs the error-deconvolved distribution function, even when the individual stars have unique error and missing-data properties. We apply this technique to the tangential velocity measurements from a kinematically unbiased sample of 11,865 main-sequence stars observed by the Hipparcos satellite. We explore various methods for validating the complexity of the resulting velocity distribution function, including criteria based on Bayesian model selection and how accurately our reconstruction predicts the radial velocities of a sample of stars from the Geneva-Copenhagen Survey (GCS). Using this very conservative external validation test based on the GCS, we find that there is little evidence for structure in the distribution function beyond the moving groups established prior to the Hipparcos mission. This is in sharp contrast with internal tests performed here and in previous analyses, which point consistently to maximal structure in the velocity distribution. We quantify the information content of the radial velocity measurements and find that the mean amount of new information gained from a radial velocity measurement of a single star is significant. This argues for complementary radial velocity surveys to upcoming astrometric surveys.
Bibtex entry for this abstract   Preferred format for this abstract (see Preferences)

   

Find Similar Abstracts:

Use: Authors
Title
Keywords (in text query field)
Abstract Text
Return: Query Results Return    items starting with number
Query Form
Database: Astronomy
Physics
arXiv e-prints