Galactic Globular and Open Clusters in the Sloan Digital Sky Survey. I. Crowded-Field Photometry and Cluster Fiducial Sequences in ugriz

An, Deokkeun; Johnson, Jennifer A.; Clem, James L.; Yanny, Brian; Rockosi, Constance M.; Morrison, Heather L.; Harding, Paul; Gunn, James E.; Allende Prieto, Carlos; Beers, Timothy C.; Cudworth, Kyle M.; Ivans, Inese I.; Ivezić, Željko; Lee, Young Sun; Lupton, Robert H.; Bizyaev, Dmitry; Brewington, Howard; Malanushenko, Elena; Malanushenko, Viktor; Oravetz, Dan; Pan, Kaike; Simmons, Audrey; Snedden, Stephanie; Watters, Shannon; York, Donald G.
Referencia bibliográfica

The Astrophysical Journal Supplement Series, Volume 179, Issue 2, pp. 326-354.

Fecha de publicación:
12
2008
Número de autores
25
Número de autores del IAC
0
Número de citas
141
Número de citas referidas
133
Descripción
We present photometry for globular and open cluster stars observed with the Sloan Digital Sky Survey (SDSS). In order to exploit the over 100 million stellar objects with r<22.5 mag observed by SDSS, we need to understand the characteristics of stars in the SDSS ugriz filters. While star clusters provide important calibration samples for stellar colors, the regions close to globular clusters, where the fraction of field stars is smallest, are too crowded for the standard SDSS photometric pipeline to process. To complement the SDSS imaging survey, we reduce the SDSS imaging data for crowded cluster fields using the DAOPHOT/ALLFRAME suite of programs and present photometry for 17 globular clusters and three open clusters in a SDSS value-added catalog. Our photometry and cluster fiducial sequences are on the native SDSS 2.5 m ugriz photometric system, and the fiducial sequences can be directly applied to the SDSS photometry without relying on any transformations. Model photometry for red giant branch and main-sequence stars obtained by Girardi et al. cannot be matched simultaneously to fiducial sequences; their colors differ by ~0.02-0.05 mag. Good agreement (<~0.02 mag in colors) is found with Clem et al. empirical fiducial sequences in u'g'r'i'z' when using the transformation equations in Tucker et al.