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GOODS K-band mosaic

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The major spectral diagnostics, MgUV, D4000, and Hd ... 6114 4.07 -1.79 (Clem et al. 2004) Define new spectral indices; get wide-baseline SED, colors ... – PowerPoint PPT presentation

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Title: GOODS K-band mosaic


1
Making Sense of Restframe Mid-UV Spectra of
Galaxies Using Hubbles Next Generation Spectral
Library Sally Heap, NASA/Goddard Granada, 3
Oct 2007
BC03
GOODS K-band mosaic
Daddi et al. 2005
2
The major spectral diagnostics, MgUV, D4000, and
Hd are all visible in the spectra of galaxies at
z0.4-1.0
z
3
Age(z, zf) Age(MSTO Teff,
Fe/H)
MgUV lgt3500lt8000
logZ
-2.0
-1.5
-1.0
-0.5
0.5
4
  • z1 galaxies
  • oldest stars lt6 Gyr
  • wide spread in restframe B-V
  • restframe near-UV comes into view

De Lucia Blaizot 2006, astro-ph
z0.36 z0.62 z1.0 z1.7
5
The Mid-UV (2000-3000 Å) flux is produced
mainly by MSTO stars, the clock for stellar
evolution
Hottest stars MSTO
  • Dealing with MSTO stars simplifies things
    greatly
  • Observed spectrum looks like that of a single
    F-type MS star
  • Modeling of the atmosphere and spectrum is
    easier for MS F-type stars
  • Modeling of the interior structure is easier for
    F-type MS stars.

6
Except that blue HB stars may contaminate the
UV spectrum of very old, metal-poor stellar
populations
Blue HB
7
At z1, blue HB stars should not be a problem
8
The spread in Teff increases with lower
metallicities
Fe/H0 Fe/H-1.01 a/Fe0.3
Isochrone log g
Teff
V-R isochrones
9
The primary mid-UV feature is MgUV (composed of
MgII, FeI, FeII, etc.)
BC03 models Kurucz library
HST UDF
Daddi et al. 2005
10
The MgUV feature can distinguish between a dusty,
star-forming galaxy and an older, passively
evolving galaxy but it cannot tell its age
because of the age-metallicity degeneracy. Can
we do better?
BC03 Models of the Evolution of MgUV
Adapted from Daddi et al. 2005
11
Line blanketing, especially in the UV,
distinguishes high-metallicity stars Can UV
colors help?
12
Problems with Spectral Models Assumption of LTE,
Missing Opacities
B2640 MgII
2800 MgI 2850
Munari Castelli
Chromospheric Emission
13
Next Generation Spectral Library
HD 16031
HD 2665 (G5 IIIw) Teff5004 log g2.27 log
Z -1.96 ELODIE
Teff log g log Z
6341 4.19 -1.12 (this
study) 6114 4.07 -1.79 (Clem et al.
2004)
14
  • Estimating the Stellar Parameters Teff, logg,
    logZ, E(B-V)
  • Set up
  • Resample STIS spectrum to resolution of
    Castellis models
  • Normalize observed model spectra over 0.4-0.7
    m
  • Make c2 fit to spectrum (Dl0.20 -1.00 m) for
    Teff, logZ, and E(B-V)
  • Determine Lv range corresponding to V, p, ep
  • Calculate Lbol from BCv(Teff, logZ, E(B-V))
  • Derive possible ilogg from comparison with
  • V-R evolutionary models
  • Make c2 fit for Teff, logg, logZ, and E(B-V)
    with
  • wt 1 for l0.2-1.0 m, and wt 10 for Mgb
  • wt 0 for MgII and CaII resonance
    lines

ilogg cube (DT x DL x DZ)
15
The most important stars for the UV-blue spectrum
have Teff5000-8000 K, log g 3.8-4.5
Flux Contributions to stellar population at 6
Gyr, Fe/H0
16
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17
Mid-UV colors are good distinguishers of
metallicity among MSTO stars having similar
line spectra
2500 2600 2700
2800 2900 3000
18
BC03 Predictions
19
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20
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21
Even fine spectral analyses have their
uncertainties! (1)
22
Even fine spectral analyses have their
uncertainties! (2)
Valenti Fischer 2005
Log gSME iso log g 0.1
23
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25
MSTO stars can have the same Teff and log g but
very different ages if they have different
metallicities
log g
Teff
26
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27
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28
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29
MSTO
MSTO
30
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31
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32
0.1 0.3 1 3 10 Gyr
33
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34
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