THE SEGUE STELLAR PARAMETER PIPELINE. I. DESCRIPTION AND COMPARISON OF INDIVIDUAL METHODS
Autor: | Young Sun Lee, Timothy C. Beers, Thirupathi Sivarani, Carlos Allende Prieto, Lars Koesterke, Ronald Wilhelm, Paola Re Fiorentin, Coryn A. L. Bailer-Jones, John E. Norris, Constance M. Rockosi, Brian Yanny, Heidi J. Newberg, Kevin R. Covey, Hao-Tong Zhang, A.-Li Luo |
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Rok vydání: | 2008 |
Předmět: |
Physics
media_common.quotation_subject Metallicity Astrophysics::Instrumentation and Methods for Astrophysics Astronomy and Astrophysics Astrophysics::Cosmology and Extragalactic Astrophysics Segue Astrophysics Effective temperature Stellar classification Surface gravity Stars Photometry (astronomy) Space and Planetary Science Sky Astrophysics::Solar and Stellar Astrophysics Astrophysics::Earth and Planetary Astrophysics Astrophysics::Galaxy Astrophysics media_common |
Zdroj: | The Astronomical Journal. 136:2022-2049 |
ISSN: | 1538-3881 0004-6256 |
Popis: | We describe the development and implementation of the SEGUE (Sloan Extension for Galactic Exploration and Understanding) Stellar Parameter Pipeline (SSPP). The SSPP derives, using multiple techniques, radial velocities and the fundamental stellar atmospheric parameters (effective temperature, surface gravity, and metallicity) for AFGK-type stars, based on medium-resolution spectroscopy and $ugriz$ photometry obtained during the course of the original Sloan Digital Sky Survey (SDSS-I) and its Galactic extension (SDSS-II/SEGUE). The SSPP also provides spectral classification for a much wider range of stars, including stars with temperatures outside of the window where atmospheric parameters can be estimated with the current approaches. This is Paper I in a series of papers on the SSPP; it provides an overview of the SSPP, and initial tests of its performance using multiple data sets. Random and systematic errors are critically examined for the current version of the SSPP, which has been used for the sixth public data release of the SDSS (DR-6). |
Databáze: | OpenAIRE |
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