Numerical Model Atmospheres (Gray 9) Equations Hydrostatic Equilibrium

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Transcript Numerical Model Atmospheres (Gray 9) Equations Hydrostatic Equilibrium

Numerical Model Atmospheres (Gray 9)

Equations Hydrostatic Equilibrium Temperature Correction Schemes 1

Summary: Basic Equations

Equation Radiative transfer Corresponding State Parameter Mean intensities,

J ν

Radiative equilibrium Hydrostatic equilibrium Statistical equilibrium Charge conservation Temperature,

T

Total particle density,

N

Populations,

n i

Electron density,

n e

2

Physical State

• Recall rate equations that link the populations in each ionization/excitation state • Based primarily upon temperature and electron density • Given abundances,

n e

,

T

we can find

N

,

P g

, and

ρ

• With these state variables, we can calculate the gas opacity as a function of frequency 3

Hydrostatic Equilibrium

• • Gravitational force inward is balanced by the pressure gradient outwards,

P

g

• Pressure may have several components: gas, radiation, turbulence, magnetic

P

P g

P R

P t

P m

NkT

 4 

c

 

m N H

   1 2  2

turb

B

2 4 

μ

= # atomic mass units / free particle in gas 4

Column Density

• Rewrite H.E. using column mass inwards (measured in g/cm 2 ), “RHOX” in ATLAS

z dm

  

dz

  0

dP

gm

dm

• Solution for constant

T

,

μ P

  (scale height):

dP dz

   

g P

    

m g H

exp   

kT

kT P m g H

d

z

  ln 

P

  

m g H P

 

e

 

kT dz

5

Gas Pressure Gradient

• Ignoring turbulence and magnetic fields:

g

dP dm

dP g dm

dP R dm

dP g dm

 1 

dP R dz

dP g dm

 4

c

    

dK

d

 

d

 

dP g dm

 4

c

    

dP g dm

4

c

        

T eff

4

c

• Radiation pressure acts against gravity (important in O-stars, supergiants)  6

Temperature Relations

• If we knew

T(m)

get

ρ(m)

and

P(m)

then we could (gas law) and then find

χ ν

and

η ν

• Then solve the transfer equation for the radiative field (

S ν

=

η ν / χ ν

) • But normally we start with

T( τ)

not

T(m)

• Since

dm

=

ρ dz

=

d τ ν

/

κ ν

we can transform results to an optical depth scale by considering the opacity 7

ATLAS Approach (Kurucz)

• H.E.

dP dz

 

g

 

dP d

 

g

 • Start at top and estimate opacity κ from adopted gas pressure and temperature • At next optical depth step down,

P g

P g

    0  1   0  • Recalculate κ for mean between optical depth steps, then iterate to convergence • Move down to next depth point and repeat 8

Temperature Distributions

• If we have a good

T( τ)

relation, then model is complete:

T( τ)

P( τ)

ρ(τ

) → radiation field • However, usually first guess for

T( τ)

will not satisfy flux conservation at every depth point 

R T eff

4 /  • Use temperature correction schemes based upon radiative equilibrium          9

Solar Temperature Relation

• From Eddington-Barbier (limb darkening)

τ 0

=

τ

(5000 Å) 10

Rescaling for Other Stars

T

T eff T eff

(

sun

)

T sun

Reasonable starting approximation 11

Temperature Relations for Supergiants • Differences small despite very different length scales 12

Other Effects on

T( τ)

Convection Including line opacity or line blanketing 13

Temperature Correction Schemes • “The temperature correction need not be very accurate, because successive iterations of the model remove small errors. It should be emphasized that the criterion for judging the effectiveness of a temperature correction scheme is the total amount of computer time needed to calculate a model. Mathematical rigor is irrelevant. Any empirically derived tricks for speeding convergence are completely justified.” (R. L. Kurucz) 14

Some

T

Correction Methods

• Λ iteration scheme  0  

T

   

T

 

B

T T

0      

T

    

B

T d

     

T

     (  

J

   

B

T B

 )

d

d

 • Not too good at depth (cf. gray case) 15

Some

T

Correction Methods

• Unsöld-Lucy method similar to gray case: find corrections to the source function = Planck function that keep flux conserved (good for LTE, not non-LTE) • Avrett and Krook method (ATLAS) develop perturbation equations for both

T

and

τ

at discrete points (important for upper and lower depths, respectively); interpolate back to standard

τ

grid at end (useful even when convection carries a significant fraction of flux) 16

Some

T

Correction Methods

• Auer & Mihalas (1969, ApJ, 158, 641) linearization method: build in

ΔT

correction in Feautrier method    

I

  

I

 

B

  

I

 

B

   

B

T

T

I

 

B

   

B

T

    (

J

     

B

T B

 )

d

d

 • Matrices more complicated • Solve for intensities then update

ΔT

17