Bibcode
Ricciardelli, Elena; Falcón-Barroso, J.; de Carvalho, Reinaldo R.; Vazdekis, A.; de la Rosa, I. G.; La Barbera, Francesco; Ferreras, Ignacio
Bibliographical reference
Monthly Notices of the Royal Astronomical Society: Letters, Volume 429, Issue 1, p.L15-L19
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2
2013
Citations
205
Refereed citations
192
Description
An essential component of galaxy formation theory is the stellar initial
mass function (IMF) that describes the parent distribution of stellar
mass in star-forming regions. We present observational evidence in a
sample of early-type galaxies (ETGs) of a tight correlation between
central velocity dispersion and the strength of several absorption
features sensitive to the presence of low-mass stars. Our sample
comprises ˜40 000 ETGs from the Spheroids Panchromatic
Investigation in Different Environmental Regions survey (z ≲ 0.1).
The data - extracted from the Sloan Digital Sky Survey - are combined,
rejecting both noisy data, and spectra with contamination from telluric
lines, resulting in a set of 18 stacked spectra at high signal-to-noise
ratio (S/N ≳ 400 Å-1). A combined analysis of
IMF-sensitive line strengths and spectral fitting is performed with the
latest state-of-the-art population synthesis models (an extended version
of the MILES models). A significant trend is found between IMF slope and
velocity dispersion, towards an excess of low-mass stars in the most
massive galaxies. Although we emphasize that accurate values of the IMF
slope will require a detailed analysis of chemical composition (such as
[α/Fe] or even individual element abundance ratios), the observed
trends suggest that low-mass ETGs are better fitted by a Kroupa-like
IMF, whereas massive galaxies require bottom-heavy IMFs, exceeding the
Salpeter slope at σ ≳ 200 km s-1.
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