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Model atmospheres for Red Giant Stars Bertrand Plez GRAAL, Université de Montpellier 2 RED GIANTS AS PROBES OF THE STRUCTURE AND EVOLUTION OF THE MILKY.

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Presentation on theme: "Model atmospheres for Red Giant Stars Bertrand Plez GRAAL, Université de Montpellier 2 RED GIANTS AS PROBES OF THE STRUCTURE AND EVOLUTION OF THE MILKY."— Presentation transcript:

1 Model atmospheres for Red Giant Stars Bertrand Plez GRAAL, Université de Montpellier 2 RED GIANTS AS PROBES OF THE STRUCTURE AND EVOLUTION OF THE MILKY WAY Academia Belgica Roma, Nov 15-17-2010

2 outline What is a model atmosphere (only 1D here) Ingredients Examples of models and their use Determination of stellar parameters : Teff, logg, … accuracy? Seismology / spectroscopy

3 Observed spectra This is not noise !

4 Model spectra Good fit! IR CO lines Optical spectrum (obs + mod) of a red SG (TiO) Not so good fit!

5 What is a model? -> 1D examples in hydrostatic equilibrium (MARCS, Gustafsson et al. 2008) Temperature Optical depth

6 Classical model atmospheres classical = LTE, 1-D, hydrostatic Real stars are not “classical” ! But... classical models include extremely detailed opacities they serve as reference for more ambitious modeling (3-D, NLTE,...) cool star spectra very much affected by molecular lines... and are thus not yet all studied in detail even with classical models. Note impressive recent developments : 3D convection (cf. talk by Ludwig), NLTE (e.g. Hauschildt et al.), pulsation-dust-wind LPVs (e.g. Hoefner et al.).

7 Examples of MARCS 1D models (hydrostatic, LTE) Spectra for S type star mixtures (variable C/O and [s/Fe])

8 Examples of MARCS 1D models (hydrostatic, ETL) Thermal structure, opacity effects (NB: 1bar=10 4 cgs)

9 M-S star photometry: models and observations V-K vs. J-K TiO vs. ZrO index (VanEck et al. 2010)

10 At LTE, radiative energy balance requires: At every level in atmosphere J : radiation from (hotter) deeper atmosphere B : local (cooler) radiation field In the blue J  B >0 and in the red J  B <0 => if an opacity is efficient in upper atmospheric layers, heating (e.g. TiO) or cooling (e.g. H 2 O, C 2 H 2 ). and backwarming, deeper. Effect of lines on the thermal structure (line blanketing)

11 Line blanketing: Heating in deep layers Cooling or heating in shallow layers Metal-rich Metal-poor

12 Importance of line list completeness for the thermal structure (Jørgensen et al. 2001) 0 5 10 15 20 Depth (10 6 km)

13 Interesting experiments: Effect of C/O in M-S-C models 0.5-0.99 0.99-2.40 TiO, H 2 O => C 2, C 2 H 2, HCN the CO lock C/O<1: if C/O increases => TiO, H 2 O decrease; Opacity decreases=> higher P C/O>1 if C/O increases => increase of C 2, C 2 H 2,... Opacity increases => lower P Pression Température

14 Interesting experiments: Models for RSG and AGB of same L and T eff

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17 1D models do a good job: Fit of a very cool red giant spectrum (lines of TiO, ZrO, and atoms) 1D model with obvious physical limitations in this case of an AGB star, but with very good line lists 1 is not the continuum level! From García-Hernández et al. 2007, A&A 462, 711

18 Observed spectra of M giants ( Serote-Roos et al. 1996, A&AS, 117, 93 ) Other example

19 Observed spectra of M giants ( Serote-Roos et al. 1996, A&AS, 117, 93 ), and MARCS model spectra ( from Alvarez & Plez 1998, A&A 330, 1109 )

20 Models and stellar parameters A 1D model atmosphere is defined by T eff, g, M (or R, or L), and chemical composition L =  R   T eff 4 g = GM/R 2  T eff 4 measures the flux per unit surface at a prescribed radius (e.g. R(  Ross )=1) The same radius is used for g These are clear definitions. What about observations?

21 Observations and stellar parameters Spectroscopy : T eff and g from lines. But NLTE ! 3D effects ! Line- broadening theory ! Errors in models ! NB: line measurements to 1% -> errors in analysis/models dominate Photometry / spectrophotometry : in principle same problems; uses global information (spectral shape) Interferometry : what is the angular diameter ?! Real problem for red giants: wavelength dependency, limb-darkening,... Must use models to derive diameter!! 3D better! Use all and check inconsistencies! Absolutely calibrated fluxes very useful ! => (R/d) 2 F mod ( )=f obs ( )

22 Observations and stellar parameters spectroscopic accuracy A good RGB case: if g within 25% (  logg=0.1), and Teff within 2.5% (100K at 4000K), parallax within 5%, and bol flux within 10% (.1 mag) => M within 55% ! Alternatively if angular diameter within 5%, parallax within 5%, and g within 25%, => M within 45% NB: For giants, isochrones pile up and do not allow high precision masses. Also, RGB, AGB, RSG degeneracy in L-T eff If good parallaxes (GAIA), and angular diameters, the problem is with g. => improve spectroscopic techniques! But how?

23 Observations and stellar parameters what seismology can give Seismology : g = M/R 2 = max.T eff 0.5 (in solar units) max is known with high precision (<1%) and T eff (spectro) to 1-2%. If the scaling relation is accurate, we get a very good gravity! This allows detailed testing of e.g. NLTE effects on Fe : FeII/FeI balance is sensitive to g, an often used to determine g, although it is affected by NLTE. => derive corrections!

24 Observations and stellar parameters Questions: Accuracy of scaling relations for max and  Effect of metallicity? Prospect : Pop II stars Does the surface chemical composition reflect the interior’s ? Should be OK for giants

25 Conclusions 1D model atmospheres account in great detail for chromaticity of opacity and radiation BUT lack other crucial ingredients (3D, see Hans Ludwig’s talk) great success in their use (stellar parameters, …) BUT effects of NLTE, 3D ? seismology brings fondamental information (gravity) to test this in return, model atmospheres + spectroscopy => stellar parameters (Teff, chemical composition) I have not discussed atmospheres as boundary conditions for the interior/evolution models


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