breakdown of lte sometimes the lte approximation can be rather good, sometimes really poor. the only...

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Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE and non-LTE and compare with the expectations from observations But we already know from non-LTE computations/general considerations that LTE is an acceptable approximation when the rate of collisional-induced transitions over radiatively- induced transitions is large If this ration is not large, LTE conditions can still be reached if the loss of radiation is small with respect to the radiation field in the volume (= i.e. If tau is large)

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Page 1: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor.The only way to tell is to compute the problem in both, LTE and non-LTE and compare with the expectations from observations

But we already know from non-LTE computations/general considerations that LTE is an acceptable approximation

when the rate of collisional-induced transitions over radiatively-induced transitions is large

If this ration is not large, LTE conditions can still be reached if the loss of radiation is small with respect to the

radiation field in the volume (= i.e. If tau is large)

Page 2: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

We must exoect:

LTE is a poor approximation in the outer photospheric layers, where radiation is free to escape into

space. The cores of strong lines are formed in these high layers => an LTE approach is inapplicable for them In O stars, radiation field is so large that it dominates

over collisions on a large part of the atmosphere and by a large factor

Similarly, in supergiants the density is very low and collisions are just a few.

=> in all these cases, we expect a much better interpretation of the data by using models not restricted to LTE.

Page 3: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Photoelectric observations of Hgamma in Theta Leo, compared to a theoretical profile computed in LTE

a) The fit to the wing is good, but the observed line core is deeper than the theoretical one

b) this is a common failure on LTE computationsAuer and Mihalas (1970), Mihalas (1972) found a much better agreement when using non LTE computations

Page 4: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Schild et al (1971)• Fowler (1974)• Dreiling and Bell (198), Bell and Dreiling (1981, 1982)

More generally, a better agreement with non LTE is found in the analysis of Vega and Sirius Paschen continuum, Balmer jump and Balmer lines (exclusive to the core)

Page 5: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Similar situation with other lines. The sodium D lines can be matched well by LTE models except within the

cores

D lines cores in the Sun studied by Curtis and Jefferies (1967), Athay and Canfield (1969)

Page 6: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Non LTE calculations generally show deeper cores than LTE ones, but still sometimes they do not fit:

- discrepancy due to non thermal motions? Solar-D lines observations show their profile varies with time and with position on the solar disk. For other stars the spatial information is lost and we need to deal with average properties.

Saturated lines are stronger then predicted => turbolence effect?

Many stars show spectral lines braodened by large amounts. Ex lines of delta Cas are broadened by ~130km/s, nearly two order of magnitudesmore than what is expected from thermal broadening => rotational Doppler broadening, effect from macroturbolence

Page 7: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Comparison between LTE and non LTE models: a) continuum formation

It is usual to define departures from LTE by using the parameter

b_i = N_i/ N*_i * = LTE value

Page 8: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

1) B Stars (15000 K < Teff < 30000 K)

nLTE effects are negligible for main sequence B stars(log g = 4) Atmospheres are very dense=> collisionsforce LTE

nLTE effects become important for giants and supergiants=> here radiative processes dominate over collisional ones

The effect on the continuum jumps at the Lyman, Balmer and Paschen edges can be substantial

Page 9: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

In particular:

1) the Lymal jump DL is increased by nLTE effectsThis is because for these stars (B stars) in non LTE the ground state is greatly increased => b_1 >>1 amd hence the flux at Lambda < 912A is reduced. We have J_nu < B_nu => theradiation field is controlling the level population but is not able to ionize substantially because is much less than a BB, so n=1 is overpopulated

2) The Balmer junp is reduced as n=2 level is drained (=> 1) by nLTE effects, so b_2 <1. Moreover, it is also b_3 >1 so the opacity contrast across the edge is reduced

3) the Paschen jump is only slightly affected as both b3, b4 are >1, so the opacity contrast stays more or less the same.

Page 10: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

As as result, errors in Teff when Teff is computed from the depth of the Balmer jump are negligible for main sequence B stars, but are of order of 350K for log g=3 and ~500K for log g=2.

The parameter Phi=D_P/D_B provides a sensitive indicator of nLTE effects:

LTE models predict Phi= 0.16-0.17 independent of g NLTE models predict Phi much larger, increasing with decreasing g

Page 11: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Fig. 7.22 from Mihalas book: late B-type stars

See the effect of the decrease in the Balmer jump DB in B-type stars

As the Paschen jump is almost unchanged => DP/DB increases Almost no effect for log g = 4, but substantial effects fro lower g=> stars are less dense and radiative effects become important

Page 12: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Fig. 7.23 from Mihalas book: similar effect for middle B-type stars

Page 13: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

2) O Stars (Teff > 30000 K) the situation is reversed!

nLTE effects are most pronounced for O stars

Now the ground state of H is UNDERPOPULATED (opposite to the B stars. Now Jnu > B_nu => more photoionization so level 1 is drained and flux at lambda < 912 A increases => DL (Lyman jump) decreases

changes alter the energy output of O stars i.e. The ionizing flux predicted from these sources, which is important for ionizing HII regions

In visible, Balmer jump is increased and shows little variation with gravity

at the highest T, discrepancy amounts to errors in Teff ~ 15000K

Page 14: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Fig. 7.24 from Mihalas book: in O stars the situation is reversed

Here the ordinate is DB: for a given T, it is INCREASED by nLTE effects

Also, it shows little variation with g

Page 15: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Comparison between LTE and non LTE models: b) expectations for lines

Page 16: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Fig 12.10 from Mihalas book: H lines

Page 17: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE
Page 18: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

Fig 12.12 from Mihalas book: He lines

Page 19: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE

P-Cygni profile: effects of motion/rotation

Page 20: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE
Page 21: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE
Page 22: Breakdown of LTE Sometimes the LTE approximation can be rather good, sometimes really poor. The only way to tell is to compute the problem in both, LTE