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Chapter 16 – Chemical Analysis

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1 Chapter 16 – Chemical Analysis
Review of curves of growth The linear part: The width is set by the thermal width Eqw is proportional to abundance The “flat” part: The central depth approaches its maximum value Line strength grows asymptotically towards a constant value The “damping” part: Line width and strength depends on the damping constant The line opacity in the wings is significant compared to kn Line strength depends (approximately) on the square root of the abundance How does line strength depend on excitation potential, ionization potential, atmospheric parameters (temperature and gravity), microturbulence Differential Analysis Fine Analysis Spectrum Synthesis

2 Determining Abundances
Classical curve of growth analysis Fine analysis or detailed analysis computes a curve of growth for each individual line using a model atmosphere Differential analysis Derive abundances from one star only relative to another star Usually differential to the Sun gf values not needed – use solar equivalent widths and a solar model to derive gf values Spectrum synthesis Uses model atmosphere, line data to compute the spectrum

3 Jargon [m/H] = log N(m)/N(H)star – log N(m)/N(H)Sun
[Fe/H] = -1.0 is the same as 1/10 solar [Fe/H] = -2.0 is the same as 1/100 solar [m/Fe] = log N(m)/N(Fe)star – log N(m)/N(Fe)Sun [Ca/Fe] = +0.3 means twice the number of Ca atoms per Fe atom

4 Solar Abundances from Grevesse and Sauval

5 Basic Methodology for “Solar-Type” Stars
Determine initial stellar parameters Composition Effective temperature Surface gravity Microturbulence Derive an abundance from each line measured using fine analysis Determine the dependence of the derived abundances on Excitation potential – adjust temperature Line strength – adjust microturbulence Ionization state – adjust surface gravity

6 Using stellar Fe I lines to determine model atmosphere parameters
derived abundance should not depend on line strength, excitation potential, or wavelength. If the model and atomic data are correct, all lines should give the same abundance

7 Adjusting for Excitation Potential
For weak lines on the linear part of the COG, curves of growth can be shifted along the abcissa until they line up, using the difference in excitation potential If the temperature is right, all the curves will coincide Dlog A = log (gf/g’f) + log l/l’ – log kn/kl – qex(c – c’)

8 Using a good model The temperature distribution of the model - the T(t) relation, can make a difference in the shape of the COG The differences depend on excitation potential because the depth of formation depends on excitation potential

9 The COG for Fe II lines depends on gravity
Fe II lines can be used to determine the gravity The iron abundance from Fe II lines must also match the iron abundance from Fe I lines

10 Strong lines Strong lines are sensitive to gravity and to microturbulence The microturbulence in the Sun is typically 0.5 km s-1 at the center of the disk, and 1.0 km s-1 for the full disk For giants, the microturbulence is typically 2-3 km s-1

11 Compute the line profile to match the observed spectrum
Spectrum Synthesis Compute the line profile to match the observed spectrum Vary the abundance to get a good fit. Jacobson et al. determination of the sodium abundance in an open cluster giant Model profiles are shown for 3 different oxygen abundances

12 Spectrum Synthesis II (Jacobson)
[O I] Oxygen abundance determinations Matching the line profile for 3 different values of the oxygen abundance, with D[O/H] = 0.5 dex Note CN lines also present near the [O I] line. The strength of CN also depends on the oxygen abundance When O is low, CN is stronger… Why?

13 Interesting Problems in Stellar Abundances
Precision Abundances Solar iron abundance Effects of 3D hydro Solar analogs Stellar Populations SFH of the Galactic thin/thick disk Population diagnostics Migrating stars Merger remnants Dwarf spheroidals Galactic Bulge Nucleosynthesis Abundance anomalies in GC Extremely metal poor stars Peculiar red giant stars Metallicity and Planets Evidence for mixing and diffusion

14 Planets and Metallicity
Fisher & Valenti 2005 Planets and Metallicity What does this tell us about planet formation? What about 2nd order effects (O/Fe, Mg/Fe, Ca/Fe)???

15 Iron in the Solar Neighborhood
Why Iron? Fe is abundant Fe is easy Fe is made in supernovae [Fe/H] is not a good indicator of the age of the disk

16 Ultra Metal-Poor Stars
Science Magazine Ultra Metal-Poor Stars Ultra metal-poor stars are rare in the halo Most metal poor star known is ~ [Fe/H] = -6 Surveys use Ca II K line

17 Alpha-process Elements:
Excesses at low metallicity a/Fe ratio originally set by SN II production Later, SN Ia produce a different Ca/Fe ratio Edvardsson et al. Pilachowski et al. McWilliam et al.

18 How to Make Heavy Metals: neutron-capture processes
Main s-process Low mass stars Double shell burning Makes SrYZr, Ba, etc. r-process High neutron flux Type II Supernovae (massive stars) No time for b-decay Eu, Gd, Dy, some Sr, Y, Zr, Ba, La… s-process Low neutron flux B-decay before next n-capture No Eu, Gd, Dy Weak s-process Massive stars He-core and shell Burning Lower neutron flux makes SrYZr only

19 n-capture Synthesis Paths
138 139 La p s,r 130 132 134 135 136 137 138 Ba p p s s,r s s,r s,r 133 Cs s,r 128 129 130 131 132 134 136 Xe s s,r s s,r s,r r r s-process path r-process path

20 r- and s-Process Elements

21 Heavy Metal Abundances
Note: Scatter Deficiencies at low metallicity Excesses at intermediate metallicity

22 r-Process vs. s-Process
Transition from r-process only to r+s process at loge(Ba)=+0.5 Corresponds to [Fe/H] ~ -2.5 S-process nucleosynthesis begins to contribute to galactic chemical enrichment At lower metallicities only r-process contributes

23 n-capture Abundances in BD+17o3248
Scaled solar-system r-process curve: Sneden 2002

24 Solar-System s-process Abundances DON’T Fit
Sneden (2002), Burris et al. (2000)

25 BD +17 3248 Is Typical of Very Metal Poor Stars
Sneden et al. (2000); Westin et al. (2000); Cowan et al. (2002)

26 Abundance Dispersions in Globular Clusters
Christian!!

27 Star Formation History in DSps
CMD for the Carina dwarf spheroidal galaxy from Smecker-Hane Note at least two epochs of star formation Abundance differences?

28 SFH in Omega Centauri Pancino et al. 2000 Lee et al 1999, Nature 402, 55 The globular cluster Omega Cen also shows interesting structure in its CMD indicating multiple epochs of star formation Epochs of star formation reflected in metallicity distribution function


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