1. NUMERICAL COLOR-MAGNITUDE DIAGRAM ANALYSIS OF SLOAN DIGITAL SKY SURVEY DATA AND APPLICATION TO THE NEW MILKY WAY SATELLITES
- Author
-
Daniel B. Zucker, J. T. A. de Jong, Nicolas F. Martin, H-W. Rix, Eric F. Bell, A. E. Dolphin, Nick Evans, and Vasily Belokurov
- Subjects
Physics ,Stellar population ,Star formation ,media_common.quotation_subject ,Milky Way ,Diagram ,Astronomy and Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Astrophysics ,Stars ,Space and Planetary Science ,Sky ,Globular cluster ,Magnitude (astronomy) ,Astrophysics::Solar and Stellar Astrophysics ,Astrophysics::Galaxy Astrophysics ,media_common - Abstract
We have tested the application to Sloan Digital Sky Survey data of the software package MATCH, which fits color-magnitude diagrams (CMDs) to estimate stellar population parameters and distances. These tests on a set of six globular clusters show that these techniques recover their known properties. New ways of using the CMD-fitting software enable us to deal with an extended distribution of stars along the line-of-sight, to constrain the overall properties of sparsely populated objects, and to detect the presence of stellar overdensities in wide-area surveys. We then also apply MATCH to CMDs for twelve recently discovered Milky Way satellites to derive in a uniform fashion their distances, ages and metallicities. While the majority of them appear consistent with a single stellar population, CVn I, UMa II, and Leo T exhibit (from SDSS data alone) a more complex history with multiple epochs of star formation.
- Published
- 2008