Bibcode
de la Rosa, I. G.; La Barbera, Francesco; Ferreras, Ignacio; de Carvalho, Reinaldo R.
Bibliographical reference
Monthly Notices of the Royal Astronomical Society: Letters, Volume 418, Issue 1, pp. L74-L78.
Advertised on:
11
2011
Citations
79
Refereed citations
74
Description
The abundance ratios between key elements such as iron and
α-process elements carry a wealth of information on the star
formation history (SFH) of galaxies. So far, simple chemical evolution
models have linked [α/Fe ] with the SFH time-scale, correlating
large abundance ratios with short-lived SFH. The incorporation of full
spectral fitting to the analysis of stellar populations allows for a
more quantitative constraint between [α/Fe ] and the SFH. In this
letter, we provide, for the first time, an empirical correlation between
[α/Fe ] (measured from spectral indices) and the SFH (determined
via a non-parametric spectral-fitting method). We offer an empirical
version of the iconic outline of Thomas et al., relating star formation
time-scale with galaxy mass, although our results suggest, in contrast,
a significant population of old (≳10 Gyr) stars even for the lowest
mass ellipticals (M/dyn ˜ 3 × 1010
M&sun;). In addition, the abundance ratio is found to be
strongly correlated with the time to build up the stellar component,
showing that the highest [α/Fe ] (≳+0.2) are attained by
galaxies with the shortest half-mass formation time (≲2 Gyr), or
equivalently, with the smallest (≲40 per cent) fraction of
populations younger than 10 Gyr. These observational results support the
standard hypothesis that star formation incorporates the Fe-enriched
interstellar medium into stars, lowering the high abundance ratio of the
old populations.
Related projects
Traces of Galaxy Formation: Stellar populations, Dynamics and Morphology
We are a large, diverse, and very active research group aiming to provide a comprehensive picture for the formation of galaxies in the Universe. Rooted in detailed stellar population analysis, we are constantly exploring and developing new tools and ideas to understand how galaxies came to be what we now observe.
Ignacio
Martín Navarro