stellar population synthesis: which uncertainties matter?
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Stellar Population Synthesis: Which Uncertainties Matter?. Charlie Conroy w/ Jim Gunn (Princeton). SPS Ingredients. Stellar evolution e.g., mass-loss, rotation, binaries, horizontal branch, blue stragglers, WR stars, TP-AGB stars Stellar spectral libraries IMF Dust attenuation. - PowerPoint PPT PresentationTRANSCRIPT
Stellar Population Synthesis: Which Uncertainties Matter?
Charlie Conroy
w/ Jim Gunn(Princeton)
1. Stellar evolutiono e.g., mass-loss, rotation, binaries,
horizontal branch, blue stragglers, WR stars, TP-AGB stars
2. Stellar spectral libraries3. IMF4. Dust attenuation
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• Thermally-pulsating AGB stars– Double shell burning– Important especially for
ages of ~0.5-2 Gyr– Carbon star production
• Metallicity-dependent– Dynamic atmospheres– Very uncertain
• How can we constrain these uncertainties??
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ara
ston
20
05
with TP-AGB
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• Compare SSP predictions to colors of `super-star clusters’ as a function of cluster age
• Latest Padova tracks produce near-IR colors too red
• BaSTI tracks are OK
• Flexible SPS allows simple re-calibration of Padova tracks to fit the LMC cluster data
What about
calibration at other Z??
Co
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• Post-starburst (“K+A”) are galaxies that have a strong A star component in their spectrum, without H emission– Implies a significant population of ~0.3-1 Gyr old stars
• Excellent testbed for TP-AGB stars– No stochastic effects– Model testing at ~solar Z
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TP-AGB stars in post-starburst galaxies: I
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FSPS+PadovaBruzual & Charlot 2003Maraston 2005
Post-starbust spectrum
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TP-AGB stars in post-starburst galaxies: II
Near-IR spectra of post-starburst galaxies can jointly constrain: 1. the overall luminosity in the TP-AGB phase2. the presence of carbon stars
Other near-IR features such as VO (1.06m) and H2O (1.33m) will provide additional constraints on the fraction of carbon stars
Near-IR data currently being taken for a sample of post-starburst galaxies from SDSS (w/ Mariska Kriek)
Predictions for Zsol coeval populations
Dn4000=1.2 (t=0.25 Gyr)
D n4000=1.3 (t
=0.44 Gyr)
Dn4000=1.4 (t=
0.79 Gyr)
• Attenuation curve depends on:– Size distribution of grains
• Metallicity• Intensity of UV radiation
– Geometry
• In general, we do not know what the attenuation law “should” be
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• UV bump at 2200A is an important feature in MW and LMC extinction curves, and shows considerable variation amongst environments – Not seen in local starbursts (Calzett et al. 1994), nor in the SMC– seen in z~2 star forming galaxies, (Noll et al. 2009)
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Dust in disk-dominated, star-forming galaxies
face-on edge-on
• Consider a sample of disk-dominated star-forming galaxies at z<0.05– GALEX+SDSS+2MASS
• Consider average photometric properties in bins of inclination– Trends with inclination will
depend only on dust attenuation curve
• SEDs of star-forming, disk-dominated galaxies at z<0.05– GALEX+SDSS photometry as a function of inclination
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Conroy, Schiminovich, & Blanton 2010
• Clear signature of the UV bump– First detection at low redshift– Based on stacking several
hundred galaxies per inclination bin, so must be generic
– Implies that dust corrections in the UV is significantly more complicated than traditionally assumed
UV bump
• Despite impressive progress in SPS model-building, significant uncertainties remain
o However, it is possible to constrain the uncertain SPS inputs directly from observations of galaxies
• Two Examples:o TP-AGB stars in post-starburst galaxieso Dust attenuation curves in disk-dominated star-forming
galaxies
• Additional Directions:o IMF in passive Ellipticals
• Wing-Ford band at 9910A is sensitive to the dwarf/giant ratio
o High mass-loss rates at super-solar metallicity?• If (some) stars bypass the HB/AGB phase it should be
detectable in the integrated light
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