Star Formation and Star Cluster Formation: Conditions, Processes and Feedback
Star Cluster (SC) formation is
major/dominant mode of all star formation (SF) (deGrijs+03) and
occurs in very different environments. This raises the question whether
young SCs (YSCs) are similar or different in different environments,
individually or as a population.
YSCs trace SF distribution (& its history) within a galaxy, old SCs
- Globular Clusters (GCs) - trace violent SF phases in their parent
galaxy over a Hubble time. But SCs also fade and dissolve. The
youngest SCs can still be embedded in their native cocoon while part of
the older SCs already gone. It is, hence, important to account for all
these processes when comparing SC populations in different galaxies.
They all depend on the initial properties of individual SCs (masses,
radii, abundances, IMF) and of the SC population (luminosity function
LF, mass function MF, distribution of radii, ages,
)
In the Tadpole and Mice galaxies, we found >35% of all SF to go
into the formation of YSCs. This analysis needs to be extended to
different types of galaxies (starburst/non-starburst, dwarf/normal,
gas-rich/gas-poor, interacting/non-interacting, in various stages of
interaction) to explore the systematics. There are indications that the
ratio between the SFR that goes into the formation of massive
long-lived SCs and the SFR that goes into low-mass, short-lived SCs
increases with increasing burst strength or overall SFE.
Detection and accurate photometry of SCs is possible to large distances
(<= 100 Mpc). We have developed an analysis tool AnalySED that
largely automatically compares observed multi-band spectral energy
distributions (SEDs) of SCs with a grid of GALEV models and determines
their ages, metallicities, extinction values, and masses (Anders+04a).
Artificial star cluster tests with model and observational
uncertainties have shown that a UV- or U-band is important for age
dating of YSCs, while one NIR-band is important for their
metallicities. For YSCs (in dusty galaxies), 4 passbands (UV/U,..., H
or K) are required, for old GCs (in dustfree galaxies) 3 passbands
(U/B,..., H or K) are enough to disentangle ages and metallicities and
get ages to Delta age/age < 0.3, metallicities to +/- 0.2 dex
(Anders+04a, de Grijs+03). We found the isolated dwarf starburst galaxy
NGC 1569 has not formed (many) new GCs (ESA/NASA Press Release 0406),
while the starburst in the massive gas-rich spiral-spiral merger NGC
7252 formed many new GCs. The ongoing starburst in NGC 4038/39 forms a
rich YSC system, its luminosity function (LF) features a turnover to
99.5\% significance (Anders+07), different from the LF of YSCs in
dwarf, spiral, or isolated starbursts, and different from the mass
function of molecular clouds and molecular cloud cores in undisturbed
galaxies. Due to problems with the translation of a completeness limit
in luminosity into a completeness limit in mass we could not yet
determine the MF. If the turnover in the LF would reflect a turnover in
the MF, this would tie in nicely with Parmentier \& Gilmore's
05, 07 result that the Milky Way GC system initially had a mass
spectrum with turnover around 10^5 Msun and indicate that the MF
of the molecular clouds in the massive gas-rich Antennae merger (LIRG)
is different from what it is in undisturbed spirals, dwarf galaxy
starbursts, as expected due to pressure effects. GC formation,
destruction, and the MF of SC systems are being investigated in
collaboration with P. Anders and H. Lamers (Utrecht), R. de Grijs
(Sheffield) and G. Parmentier (Bonn). A worrisome result showed up
recently in our analysis of SC observations in apparently undisturbed
actively SFing spirals observed by S. Larsen: quite a number of these
YSCs have masses and radii in the range of GCs! Either these spirals
are very hostile to their SCs and will destroy even the strongly bound
ones soon or one would expect a continuous age distribution of GCs. In
collaboration with S. Larsen, P. Anders, H. Lamers, R. de Grijs we
began to explore this further.
The condition for the formation of star clusters, and of massive
long-lived clusters in particular, as well as the survival and
destruction during secular evolution are important to explore in view
of the potential of GCs to trace the formation history of their parent
galaxies.
To explore in detail the feedback from strongly clustered violent SF as
opposed to more diffuse lower level SF is important in view of a future
coupling of GALEV with a dynamical code. E.g. has the PhD thesis by
Marc Westmoquette (UCL), that I coadvised, shown, combining integrated
field spectroscopy with various resolutions/field sizes, that massive
star clusters can be the starting points of a major galactic wind and
that this wind entrains a substantial amount of neutral
gas.
Most elliptical and S0 galaxies feature two peaks in their optical GC
colour distributions with a universal blue peak of old and metal-poor
GCs and a variable (in colour and relative height) red peak, the origin
of which is still controversial. Different hypotheses for the formation
of the red GC subpopulation, ranging from in situ
formation in a 2nd step within their galaxy to formation during a
major gas-rich merger and hierarchical accretion of a number of dwarf
galaxies, predict different age, metallicity, and spatial distributions
for the red peak GCs. We have embarked on a campaign to investigate the
nature of the GC population(s) in this red peak. First results from a
feasibility study on a Virgo cluster elliptical for which we
supplemented existing B- and I-imaging with own deep K-data showed that
the optical red peak splits up into several subpopulations of GCs with
different age-metallicity combinations, the youngest being only ~1 Gyr
old. We will investigate more elliptical galaxies like this to find out
their violent SF histories. At the same time, we will test the
luminosity functions of all GCs and of the blue-peak GCs only in their
accuracies for distance determination. We anticipate that using the
turn-over in the luminosity function of the universal blue peak GCs
only will allow to significantly improve this method of distance
determination.
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