4.5 Article

Single stellar populations in the near-infrared I. Preparation of the IRTF spectral stellar library

期刊

ASTRONOMY & ASTROPHYSICS
卷 582, 期 -, 页码 -

出版社

EDP SCIENCES S A
DOI: 10.1051/0004-6361/201423837

关键词

infrared: stars; stars: fundamental parameters; catalogs; methods: data analysis; techniques: spectroscopic; stars: kinematics and dynamics

资金

  1. Fund for Scientific Research - Flanders, Belgium [FWO11/PDO/147]
  2. Programa Nacional del Astronomia y Astrofisica of the Spanish Ministry of Science and Innovation [AYA2013-48226-C3-1-P]
  3. FP7 Marie Curie Actions of the European Commission via Initial Training Network DAGAL under REA grant [289313]
  4. [PIEF-GA-2010-271780]

向作者/读者索取更多资源

We present a detailed study of the stars of the NASA InfraRed Telescope Facility (IRTF) spectral library to understand its full extent and reliability for use with stellar population (SP) modeling. The library consist of 210 stars, with a total of 292 spectra, covering the wavelength range of 0.94 to 2.41 mu m at a resolution R approximate to 2000. For every star we infer the effective temperature (T-eff), gravity (log g) and metallicity ([Z/Z circle dot]) using a full-spectrum fitting approach in a section of the K-band (2.19 to 2.34 mu m) and temperature-NIR colour relations. We test the flux calibration of these stars by calculating their integrated colours and comparing them with the Pickles library colour-temperature relations. We also investigate the NIR colours as a function of the calculated effective temperature and compared them in colour-colour diagrams with the Pickles library. This latter test shows a good broad-band flux calibration, important for the SP models. Finally, we measure the resolution R as a function of wavelength. We find that the resolution increases as a function of lambda from about 6 angstrom in J to 10 angstrom the red part of the K-band. With these tests we establish that the IRTF library, the largest currently available general library of stars at intermediate resolution in the NIR, is an excellent candidate to be used in stellar population models. We present these models in the next paper of this series.

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