Volume 394, Number 3, November II 2002
|Page(s)||807 - 822|
|Section||Cosmology (including clusters of galaxies)|
|Published online||21 October 2002|
An inverse method to recover the SFR and reddening properties from spectra of galaxies
Observatoire Astronomique de Strasbourg (UMR 7550), 11 rue de l'Université, 67000 Strasbourg, France
Corresponding author: A. Lançon, firstname.lastname@example.org
Accepted: 26 August 2002
We develop a non-parametric inverse method to investigate the star formation rate, the metallicity evolution and the reddening properties of galaxies based on their spectral energy distributions (SEDs). This approach allows us to clarify the level of information present in the data, depending on its signal-to-noise ratio. When low resolution SEDs are available in the ultraviolet, optical and near-IR wavelength ranges together, we conclude that it is possible to constrain the star formation rate and the effective dust optical depth simultaneously with a signal-to-noise ratio of 25. With excellent signal-to-noise ratios, the age-metallicity relation can also be constrained. We apply this method to the well-known nuclear starburst in the interacting galaxy NGC 7714. We focus on deriving the star formation history and the reddening law. We confirm that classical extinction models cannot provide an acceptable simultaneous fit of the SED and the lines. We also confirm that, with the adopted population synthesis models and in addition to the current starburst, an episode of enhanced star formation that started more than 200 Myr ago is required. As the time elapsed since the last interaction with NGC 7715, based on dynamical studies, is about 100 Myr, our result reinforces the suggestion that this interaction might not have been the most important event in the life of NGC 7714.
Key words: methods: statistical - stars: formation / ISM: dust, extinction / galaxies: individual: NGC 7714 / galaxies: stellar content
© ESO, 2002
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.