7. non-lte – basic concepts · 10/13/2003 7. non-lte – basic concepts lte vs nlte. occupation...
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10/13/2003
7. Non-LTE – basic concepts
LTE vs NLTE
occupation numbers
rate equation
transition probabilities: collisional and radiative
examples: hot stars, A supergiants
Sprin
g 20
12 LTE vs
NLTE
LTEeach volume element separately in thermodynamic equilibrium at temperature T(r)
1. f(v) dv
= Maxwellian
with T = T(r)
2. Saha: (np
ne
)/n1
/ T3/2
exp(-h1
/kT)3. Boltzmann: ni
/ n1
= gi
/ g1
exp(-h1i
/kT)
However:
volume elements not closed systems, interactions by photons
LTE non-valid if absorption of photons disrupts equilibrium
Equilibrium: LTE vs NLTE
Processes:
radiative – photoionization, photoexcitation
establish equilibrium if radiation field is Planckian and isotropic
valid in innermost atmosphere
however, if radiation field is non-Planckian these processes drive occupation
numbers away from equilibrium, if they dominate
collisional – collisions between electrons and ions (atoms) establish equilibrium if
velocity field is Maxwellian
valid in stellar atmosphere
Detailed balance: the rate of each process is balanced by inverse process
Sprin
g 20
12LTE vs
NLTE
NLTE if
rate of photon absorptions >> rate of electron collisions
I
(T) »
T,
> 1 »
ne
T1/2
LTE
valid:
low temperatures & high densities
non-valid:
high temperatures & low densities
Sprin
g 20
12NLTE1. f(v) dv
remains Maxwellian
2. Boltzmann –
Saha
replaced by dni
/ dt
= 0 (statistical equilibrium)
for a given level i
the rate of transitions out = rate of transitions in
niXj 6=i
Pij =Xj 6=i
njPji
rate out = rate in
rate equations
Pi,j
transition probabilities
i
Calculation of occupation numbers
NLTE1. f(v) dv remains Maxwellian
2. Boltzmann – Saha replaced by dni / dt = 0 (statistical equilibrium)
for a given level i the rate of transitions out = rate of transitions in
niXj 6=i(Rij + C ij) + ni(Rik + Cik) =
Xj 6=i
nj(Rji+ Cji) + np(Rki+ Cki)
lines ionization lines recombination
Transition probabilities
radiative
collisional
Rij = Bij∞R0
ϕij(ν) Jν dν
Rji = Aji+Bji∞R0
ϕij(ν) Jν dν
absorption
emission
Cij = ne∞R0
σcoll(v)vf(v)dv
Cji = gi/gjeEji/kT Cij
RATE EQUATIONS
niXj 6=i
Pij =Xj6=i
njPji
Occupation numbers
can prove that if Cij À Rij or J
B
(T): ni ni (LTE)
We obtain a system of linear equations for ni :
A ·
⎛⎜⎜⎝n1n2...np
⎞⎟⎟⎠ =X
combine with equation of transfer: μdIν(ω)
dr=−κνIν(ω) + ²ν
∞Z0
ϕij(ν)
Z4π
Iν(ω)dω
4πdνWhere matrix A contains
terms:
κν =
NXi=1
NXj=i+1
σlineij (ν)
µni − gi
gjnj
¶+
NXi=1
σik(ν)³ni− n∗i e−hν/kT
´+nenpσkk(ν, T )
³1− e−hν/kT
´+neσe
²ν = ...
non-linear system of integro-differential equations
Occupation numbers
Iteration required:
radiative processes depend on radiation field
radiation field depends on opacities
opacities depend on occupation numbers
requires database of atomic quantities: energy levels, transitions, cross sections20...1000 levels per ion – 3-5 ionization stages per species – ∼
30 species
fast algorithm to calculate radiative transfer required
Transition probabilities: collisions
probability of collision between atom/ion (cross section ) and colliding particles in time dt: ~
v dt
rate of collisions = flux of colliding particles relative to atom/ion (ncoll v) ×
cross section .
for excitations:
and similarly for de-excitation
Cij = ncoll
∞Z0
σcollij (v)vf(v)dv
v
coll from complex quantum mechanical calculations
collisioncylinder:all particles inthat volumecollide withtarget atom
Transition probabilities: collisions
in a hot plasma free electrons dominate: ncoll = ne
vth = < v > = (2kT/m)1/2 is largest for electrons (vth, e '
43 vth, p )
Cij = ne
∞Z0
σcollij (v)vf(v)dv = ne qij
f(v) dv is Maxwellian in stellar atmospheres established by fast belastic e-e collisions.
One can show that under these circumstances the collisional transition probabilities for excitation and de-excitation are related by
Cij =gj
gie−Eij/kTCji
Transition probabilities: collisions
for bound-free transitions:
Cki = Cik negi
g+1
1
2
µh2
2πmkT
¶3/2eEi/kTcollisional recombination (very
inefficient 3-particle process) =
collisional ionization (important at high T)
In LTE: µnjni
¶∗=gjgie−Eij/kT Boltzmann
µn1
n+1
¶∗= neφ1(T) Saha
Cij =
µnjni
¶∗Cji Cki =
µnin+1
¶∗Cik
Transition probabilities: collisions
Approximations for Cji
line transition i j
ji = collision strengthfor forbidden transitions: ji '
1
for allowed transitions: ji = 1.6 ×
106 (gi / gj ) fij ij (Eij /kT)
Cji = ne8.631× 10−6
T1/2e
Ωjigjs−1 Ωji ∼ σji
max (g’, 0.276 exp(Eij /kT) E1 (Eij /kT)
g’ = 0.7 for nl -> nl’ =0.3 for nl n’l’
Transition probabilities: collisions
for ionizations Cik = ne1.55× 1013T1/2e
g0iσphotik (νik)
e−Ei /kT
Ei/kT
photoionization cross section at ionization edge= 0.1 for Z=1
= 0.2 for Z=2
= 0.3 for Z=3
Transition probabilities: radiative processes
Line transitions
absorption i j (i < j)
probability for absorption
integrating over x and d d
= 2
d
emission (i > j)Rji = Aji+BjiJji
dWij = BijIxdω
4πϕ(x)dx x=
ν − ν0∆νD
Rij = BijJij Jij(r) =1
2
∞Z−∞
1Z−1I(x,μ, r)ϕ(x)dμdx
Transition probabilities: radiative processes
Bound-free
photo-ionization i k
photo-recombination k i
Rik =
∞Zνik
σik(ν) c nphot(ν)dν
×
v for photons
uν = hν nphot (ν) =4π
cJν energy density
Rik = 4π
∞Zνik
σik(ν)
hνJνdν
Rki =
µnin+1
¶∗Rki
Rki = 4π
∞Zνik
σikhν(2hν3
c2+ Jν) e
−hν/kT dν
LTE vs NLTE in hot stars
difference between NLTE and LTE H
equivalent width as a function of log g for Teff = 45,000 K
NLTE and LTE emperature stratifications for two different Helium abundances at Teff = 45,000 K, log g = 5
Kudritzki 1978
LTE vs NLTE: departure coefficients - hydrogen
bi =nNLTEi
nLTEi
Orionis (B8 Ia)
Teff = 12,000 K
log g = 1.75 (Przybilla 2003)
α
Her Davies, Kudritzki, Figer, 2010 MNRAS, 407,1203
J-band spectroscopy of red supergiants
Cosmic abundance probes out to 70 Mpc
distance
Red supergiants, IR lines NLTE abundance corrections for TiI
D(NLTE-LTE) = logN(Ti)/N(H)NLTE – logN(Ti)/N(H)LTE
Bergemann, Kudritzki
et al., 2012
AWAP 05/19/05
consistent treatment of expanding atmospheres along withspectrum synthesis techniquesspectrum synthesis techniques allow the determination of
stellar parameters, wind parameters, andstellar parameters, wind parameters, and abundancesabundancesPauldrach, 2003, Reviews in Modern Astronomy, Vol. 16