More Clues to Galaxy Formation: Massive Globular Clusters, Stochastic Self-Enrichment, and Mass/Metallicity Correlations NGC 4696 HST/ACS Harris && 2006
Feb 01, 2016
More Clues to Galaxy Formation: Massive Globular Clusters,
Stochastic Self-Enrichment, and Mass/Metallicity Correlations
NGC 4696
HST/ACS
Harris && 2006
Starburst dwarf NGC 5253 (ESO/HST)
Pregalactic dwarf
Proto-GCs
GMCGC MM 210
Young massive star clusters (YMCs)
forming at ~105 M0 in
starburst dwarfs today
Harris && 2008 Harris && 2006
Bimodal or not?
Harris && 2008 Harris && 2006
Bimodal or not?
Disagreements ahead --
Is this effect caused by ---
(1) A gradual shift of the blue sequence to redder color at higher luminosity? (Mass/Metallicity relation)
(2) The disappearance of bimodality altogether at the highest masses? (Threshold enrichment effect)
(3) An artifact of photometric measurement procedures? (i.e. not real)
Serious questions persist!
If it’s a true, physical MMR then Z ~ M1/2 at high mass, and it may smoothly connect upward to the UCD regime.
Does it continue to low mass? Why no red-sequence MMR?
Is it present in all galaxies? What is its astrophysical origin?
The systematic properties of globular clusters begin to change for M > 2 x 106 M0 …
- Appearance of the MMR
- Multiple populations within a single GC
Cen (Villanova && 2007)
- Different scaling of size vs. mass
Evstigneeva et al. 2008
Category 1: MMR is present and measurable
M87, NGC 1399, several other BCGs and gE’s
Category 2: MMR is not present
M49; any others?
Category 3: presence of MMR not decidable; GC sample too small or does not extend to high enough luminosity
Milky Way; M31; dwarf galaxies; most spirals; GC-poor E’s
The basic feature of bimodality is a first-order and (probably) universal effect. The MMR is a second-order effect and harder to trace. Though new, much confusion already exists:
Can be helped (partially) by constructing composite samples; e.g grouping Virgo Cluster Survey galaxies into 4 luminosity groups (Mieske && 2006) or combining several supergiants (Harris && 2006)
But if amplitude of MMR differs from one galaxy to another, net effect will be diluted in composite samples
1: strong MMR 2: no MMR 3: Not decidable
[Fe/H]
MV
Milky Way GCs
Most galaxies do not have clusters in the 106 – 107 M0 range
First, let’s get the measurements straightened out.
NGC 5128: d=3.8 Mpc
Globular clusters are easily resolved at <1’’ seeing
Photometry must account for individually different scale sizes
GC profile as seen on image =
PSF Intrinsic GC profile
rh ~ 1 – 5 parsecs; averages 3 pc 0.3” width
NGC 3311/3309 (A1060)
d = 50 Mpc
2 rh ~ 6 pc 0.025”
fwhm(PSF) = 0.5”
starlike! psf-fitting photometry is fine
Gemini-S + GMOS, Wehner & Harris
Several regimes determined by distance; no single photometric method is suitable for all regimes
4 distinguishable regimes: compare fwhm of stellar PSF
with intrinsic cluster size D (= 2 rh), half-light diameter
Well resolved: D >> fwhm(PSF)
Partially resolved: D ~ fwhm
Marginally resolved: D ~ 0.1 – 0.3 fwhm
Unresolved (starlike): D < 0.1 fwhm
Aperture photometry r(ap) adjusted for D
PSF-fitting photometryAll this is subject to S/N considerations …
HST/ACS imaging of GCs around 6 central supergiants in Abell-type clusters (Harris et al. 2006, 2008)
(B,I) bandpasses metallicity-sensitive
Thousands of GCs per galaxy, thus good statistical samples and big luminosity (mass) range
NGC 1407 Eridanus d=23 Mpc MV = -22.35
NGC 3258 Antlia 41 Mpc -21.87
NGC 3268 Antlia 41 Mpc -21.96
NGC 3348 CfA69 41 Mpc -22.13
NGC 4696 Centaurus 42 Mpc -23.31
NGC 7626 Pegasus I 49 Mpc -22.58
(M87 Virgo 16 Mpc -22.4)
D = 6 pc at d ~ 40 Mpc half-light profile width ~ 0.03”
compare PSF fwhm = 0.1” marginally resolved
HST/ACS Imaging program for BCGs
(Partial list – biggest GCSs out of 12 studied)
Photometric technique:
- Uniform catalog of detected objects with DAOPHOT
- Construct PSF from average of many bright starlike objects
- For each individual source, convolve PSF with “King30” model GC profile and vary D(model) to obtain best match (ISHAPE; Larsen 1999)
- finally, use fixed-aperture photometry corrected for profile width to obtain final magnitude in each band
S/N=441
fwhm a=1.3 px
b/a = 0.91
S/N=24
fwhm a=0.82 px
b/a = 0.50
S/N=108
starlike
ISHAPE sample fits
1 px = 0.05”
HST/ACS
Growth curves for simulated GC profiles convolved with PSF
ISHAPE solve for best-fit D
Measure magnitude through 2.5-px aperture, corrected back to the growth curve for a starlike profile
Simulations show that the systematically correct intrinsic D (FWHM of GC profile) is returned for D > 0.1 (PSF) (transition boundary from unresolved to marginally resolved)
Our regime
More tests …
Measured size a not affected by modestly elliptical shape
b/a, returned correctly for a > 0.1 PSF
S/N > 50 !!
Full, profile-corrected aperture photometry for 6 supergiant ellipticals Previous PSF-fitting data
(Harris && 2006)
Trend lines:
- blue and red?
- linear slope? or top end only?
- how steep?
N=12000 brighter
than MI = -8.
Largest sample in existence!
RMIX fits of bimodal gaussians within selected magnitude intervals: forces two modes into the solution, but (a) less affected by field contamination, (b) avoids the strong assumption imposed by a ‘linear fit’
Red sequence: no trend
Blue sequence: gradual changeover to MMR toward higher mass
Z ~ M0.3+-0.1
The top end: uni- or bi-modal?
A detour: the measured cluster sizes
Trends (?) versus galactocentric distance and metallicity: projection effects, or intrinsic?
Low-metallicity GCs average larger size at any galactocentric zone
The MMR is not due to an unaccounted-for size-mass relation.
What is responsible for the metallicity distribution function (MDF)?
Is a proto-GC
- PRE-enriched from the surrounding GMC gas?
- internally SELF-enriched by its own SNe within the first few Myr?
- stochastic? (can self-enrichment be responsible for the internal dispersion of the MDF?)
Input assumptions to self-enrichment model:
SNe from >8 M0 stars enrich lower-mass stars while still in formation
Salpeter IMF 0.3 100 M0 and SF efficiency f* ~ 0.3
Woosley/Weaver SN yields, and fraction fZ of heavy elements retained in GMC
c
ZZc M
MfZ )(log38.0]/[ ZffHm and thus
Bailin & Harris 2008
NSN ~ 1 per 100 M0Pre-enrichment
level for fZ = 0.08
2/1
510059.0
GC
c
Z M
Z
Internal dispersion of MDF due
to statistical variation in NSN
Stochastic self-enrichment fails to explain the MDF
dispersion at any cluster mass higher than 104 M0
Two additional, major factors to add:
- reff ~ M1/2 at high mass
- fZ is a strong function of M(init) and thus reff as well
Proto-GC = truncated isothermal sphere logarithmic potential (R). All SNe go off while PGC is still highly gaseous; all ejected energy absorbed and thermalized.
Gas will leave if outside an “escape radius” defined by total energy > potential energy at edge of cloud.
Ejecta become efficiently retained at a characteristic mass (after star formation)
MGM
rfEretainM effSN
GC7
2* 10
100)(
Combined effects of pre-enrichment, self-enrichment, and mass/radius relation
Match to BCG data for 6 galaxies
-pre-enrichment of each “mode” (blue, red) tuned to match mean color
-self-enrichment drives shape of mean MDF at high mass
Basic features of the model:
- No MMR for cluster masses < ~106 M0 (i.e., sequences vertical)
- Very metal-poor, very massive GCs should be rare (anywhere)
- blue and red sequence converge at high-mass end
- Similar red-sequence MMR should exist at top end, but smaller amplitude
- Internal dispersion and mean metallicity of each mode driven by pre-enrichment
Wehner && 2008