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Numerical Model Atmospheres (Hubeny

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Title: Numerical Model Atmospheres (Hubeny


1
Numerical Model Atmospheres (Hubeny Mihalas
16, 17)
  • EquationsHydrostatic EquilibriumTemperature
    Correction Schemes

2
Summary Basic Equations
Equation CorrespondingState Parameter
Radiative transfer Mean intensities, J?
Radiative equilibrium Temperature, T
Hydrostatic equilibrium Total particle density, N
Statistical equilibrium Populations, ni
Charge conservation Electron density, ne
3
Physical State
  • Recall rate equations that link the populations
    in each ionization/excitation state
  • Based primarily upon temperature and electron
    density
  • Given abundances, ne, T we can find N, Pg, and ?
  • With these state variables, we can calculate the
    gas opacity as a function of frequency

4
Hydrostatic Equilibrium
  • Gravitational force inward is balanced by the
    pressure gradient outwards,
  • Pressure may have several components gas,
    radiation, turbulence, magnetic
  • µ atomic mass units / free particle in gas

5
Column Density
  • Rewrite H.E. using column mass inwards (measured
    in g/cm2), RHOX in ATLAS
  • Solution for constant T, µ (scale height)

6
Gas Pressure Gradient
  • Ignoring turbulence and magnetic fields
  • Radiation pressure acts against gravity
    (important in O-stars, supergiants)

7
Temperature Relations
  • If we knew T(m) and P(m) then we could get ?(m)
    (gas law) and then find ?? and ??
  • Then solve the transfer equation for the
    radiative field (S? ?? / ?? )
  • But normally we start with T(t) not T(m)
  • Since dm -? dz dt? / ?? we can transform
    results to an optical depth scale by considering
    the opacity

8
ATLAS Approach (Kurucz)
  • H.E.
  • Start at top and estimate opacity ? from adopted
    gas pressure and temperature
  • At next optical depth step down,
  • Recalculate ? for mean between optical depth
    steps, then iterate to convergence
  • Move down to next depth point and repeat

9
Temperature Distributions
  • If we have a good T(t) relation, then model is
    complete T(t) ? P(t) ? ?(t) ? radiation field
  • However, usually first guess for T(t) will not
    satisfy flux conservation at every depth point
  • Use temperature correction schemes based upon
    radiative equilibrium

10
Solar Temperature Relation
  • From Eddington-Barbier (limb darkening)

t0 t(5000 Å)
11
Rescaling for Other Stars
Reasonable starting approximation
12
Temperature Relations for Supergiants
  • Differences smalldespite very different length
    scales

13
Other Effects on T(t)
Including line opacity or line blanketing
Convection
14
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)

15
Some T Correction Methods
  • ? iteration scheme
  • Not too good at depth (cf. gray case)

16
Some T Correction Methods
  • Unsöld-Lucy methodsimilar 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 t at
    discrete points (important for upper and lower
    depths, respectively) interpolate back to
    standard t grid at end (useful even when
    convection carries a significant fraction of flux)

17
Some T Correction Methods
  • Auer Mihalas (1969, ApJ, 158, 641)
    linearization method build in ?T correction in
    Feautrier method
  • Matrices more complicated
  • Solve for intensities then update ?T
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