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AST 1420 Galactic Structure and Dynamics Today: dynamics of stars - PowerPoint PPT Presentation

AST 1420 Galactic Structure and Dynamics Today: dynamics of stars in galactic disks Last week: galactic rotation using tracers on circular(- ish) orbits But, stars near the Sun typically have non-circular orbits This changes their


  1. AST 1420 Galactic Structure and Dynamics

  2. Today: dynamics of stars in galactic disks • Last week: galactic rotation using tracers on circular(- ish) orbits • But, stars near the Sun typically have non-circular orbits • This changes their dynamics and how they appear as a group • This week consider equilibrium distributions of stars in disk and use them to study the velocity distribution and dark-matter in the solar neighborhood

  3. http://galpy.readthedocs.io/en/latest/

  4. Kinematics-abundance relations in the Solar neighborhood Allende Prieto et al. (2016)

  5. Kinematic relations in the Solar neighborhood

  6. Dynamical equilibrium recap

  7. recap Why dynamical equilibrium? • We would like to understand: • Mass-to-light ratio of galaxies • Orbital structure in galaxies —> formation and evolution • Detect black holes at the centers of galaxies • Distribution of dark matter in galaxies • Gravitational force —> mass density • Newton’s second law: force ~ acceleration • We cannot measure accelerations of stars

  8. recap Galaxies are in a quasi- equilibrium state • Galaxies reach quasi-steady-state on O(t dyn ) time scale • Much happens, but quasi-equilibrium quickly restored • Because dynamical times increases with increasing r, central regions much closer to equilibrium than outer regions • Dynamical time clusters, outer halo: few Gyr —> equilibrium suspect

  9. Galaxy disks are in a quasi- equilibrium state • Dynamical time for the planar motion in a galactic disk is ~few hundred Myr (e.g., near the Sun) • Vertical oscillations are faster, <~ 100 Myr —> vertical structure equilibrates faster • Expect galactic disks to be well-mixed dynamically

  10. recap The equilibrium collisionless Boltzmann equation • Collisionless Boltzmann equation (CBE) holds for any collisionless distribution function • For equilibrium system: f( x , v ,t) = f( x , v ) and the CBE becomes • Fundamental equation of dynamical equilibria of galaxies

  11. Axisymmetric Jeans equations and the asymmetric drift

  12. recap Spherical Jeans equations • in terms of β • In terms of enclosed mass

  13. Axisymmetric Jeans equations • Start by writing down the collisionless Boltzmann equation in cylindrical coordinates; Hamiltonian is • And the collisionless Boltzmann equation is then • That looks complicated! • For axisymmetric system, derivatives wrt φ vanish

  14. Axisymmetric Jeans equations • Multiply by p R and integrate over all momenta • This is the axisymmetric, radial Jeans equation • Multiply by p z and integrate over all momenta • This is the axisymmetric, vertical Jeans equation

  15. recap Separability of disk orbits

  16. recap Separability of disk orbits

  17. Axisymmetric Jeans equations for separable orbits • If orbits separate into independent R and z motions, then the correlation between v R and v z is zero • The Jeans equations then simplify to • The vertical equation becomes similar to the spherical Jeans equation for vanishing anisotropy • An equilibrium vertical density is sustained by random motion —> dispersion supported

  18. Asymmetric drift • Radial Jeans equation represents a balance between (a) the gravitational force, (b) mean motion around the center, and (c) random velocity (velocity dispersion) • Let’s re-write the radial equation to make this more clear at z=0, replacing the force with the circular velocity • or • The square bracket is O(1); for σ R << v c therefore v c -<v T > << v c , so can write

  19. Asymmetric drift • This relation is known as the Stromberg asymmetric drift relation • Because the right-hand side does not vanish in general, it demonstrates that the average velocity of an equilibrium population of stars is not in general equal to the circular velocity • Thus, for a population with non-zero velocity dispersion, we cannot simply assume that <v T > = v c • The relation between <v T > and v c depends on • Radial density profile: d ln nu / d ln R • The velocity dispersion σ R and its radial profile • The ratio of the tangential and radial velocity dispersion • Sign of square bracket is typically positive and therefore <vT> is smaller than v c ; this is the normally assumed behavior • But the sign can be negative as well, and then <vT> is larger than v c !

  20. Distributions functions for thin disks

  21. 
 
 Distribution functions for disks and the Jeans theorem • Week 3: Jeans theorem: equilibrium DF is function of integrals of motion f = f( I ) • For separable orbits, we have three integrals: L z , E R , and E z —> f== f(L z ,E R ,E z ) • Because of separability, we can assume that the distribution function separates 
 f(L z ,E R ,E z ) = f(L z ,E R ) x f(E z |L z ) 
 First factor is the planar part of the DF, second factor is a vertical part at a given L z (or, guiding-center radius R g x v c = L z ) • Thus, we can build simple equilibrium models by combining simple planar and vertical DFs

  22. Distribution function for a cold, razor-thin disk • Cold, razor-thin disk = all orbits are circular, with some surface density profile 𝛵 (R) == 𝛵 (L z ) • Distribution function must therefore look like this: • E c [L z ] is the energy of a circular orbit with the given L z • with F(L z ) determined by 𝛵 (R) • We want to integrate this DF over velocity (v R ,v T ) at a given R and then match F(L z ) to 𝛵 (R)

  23. Distribution function for a cold, razor-thin disk • E-E c [L z ] in the epicycle approximation: • At the end of last week’s class we demonstrated that • So we can write E-E c [L z ] in terms of the velocity alone

  24. Distribution function for a cold, razor-thin disk • Then we can write the DF as • And we can perform the following horrendous integral

  25. Distribution function for a cold, razor-thin disk • We match 𝛵 ’(R) = 𝛵 (R) then using the following DF

  26. Distribution functions for a warm, razor-thin disk • A ‘warm’ disk has orbits that are non-circular • We can build such a disk by warming up the cold disk DF • We do this by replacing the δ (E-E c [L z ]) with a finite-width kernel • We have a lot of freedom in this choice! • In general, this will lead to 𝛵 ’(R) =/= 𝛵 (R), but for small dispersion typically 𝛵 ’(R) ~ 𝛵 (R) • Either just live with this, or can adjust the DF’s pre-factor

  27. 
 
 The Schwarzschild DF • One popular choice is to replace 
 δ (E-E c [L z ]) —> exp([E-E c [L z ]]/ σ R2 ) 
 which gives the Shu DF: • If we use the epicycle approximation to replace E-E c [L z ], we get the Schwarzschild DF :

  28. The Schwarzschild DF • For close-to-circular orbits, 𝛵 (R) and σ R (R) ~ constant • The velocity distribution is then a Gaussian with <v R > = 0, <v T > = v c , and • For ‘warmer’ distribution functions, the velocity distribution becomes non-Gaussian

  29. Asymmetric drift re-visited • Previous velocity distribution demonstrates that <vT> less than v c when σ R increases • This is the asymmetric drift • Physically, at a given radius R we see stars coming from radii < R and radii > R; for v c (R) ~ flat • Those with radii < R are on the outer part of their orbits 
 —> v T less than v c • Those with radii > R are on the inner part of their orbits 
 —-> v T greater than v c • For a declining surface density: there are more stars with radii < R than there are stars with radii > R —> mean effect is for <vT> to be less than v c • Exacerbated by declining σ R —> stars with radii < R can be coming from further away • But if the density gradient is different, can get the opposite effect! Often overlooked!

  30. ‘Reverse’ asymmetric drift

  31. Shu distribution function • Schwarzschild is only a a true steady-state DF for very small velocity dispersion (when the epicycle approx. is valid) • True DF: Shu DF • or • Similar to Schwarzschild, but better for large dispersions

  32. Shu vs. Schwarzschild distribution functions

  33. The velocity distribution in the solar neighborhood

  34. Velocities in the solar neighborhood • We can measure the velocities for large samples of stars in the solar neighborhood (e.g., Hipparcos , now Gaia ) • We can investigate these with the tools that we have discussed so far this week • First we can correct the observed motion wrt the Sun for the (small) effect of Galactic rotation using the Oort constants, because the Oort constants give the first-order effect of Galactic rotation wrt distance from the Sun (this is a small effect for stars <~ few 100 pc)

  35. The solar motion • We measure velocities (U,V,W) wrt the Sun, but the Sun’s velocity itself wrt a circular orbit is not well known • But we can use the Stromberg asymmetric drift relation to figure out the Sun’s motion! • If we don’t know the Sun’s motion wrt a circular orbit in the direction of Galactic rotation, but label it as V 0 , we get • If we can apply this equation for a population with small dispersion σ U or extrapolate from populations with larger σ U to zero, then we can read off the Solar motion as minus the mean velocity of this population

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