Astr 5460     Mon. Sep. 13, 2004
   Today: Kinematics and Masses
  Unless noted, all figs and equations from Combes et al. or Longair’s Galaxy Formation.
WIRO…

Radio vs. Optical
What are the relative advantages/disadvantages of each?

Radio vs. Optical
What are the relative advantages/disadvantages of each?
Radio has great velocity resolution.
Radio sensitive to cool gas, beyond stars.
Radio can map whole galaxy at once.
Optical work used to be easier before VLA
Optical work has, usually, better spatial resolution.

Radio: The “Spider” Isovelocity Diagram, interpreting HI maps

Radio: The “Spider” Isovelocity Diagram, interpreting HI maps

Isovelocity plots

Galaxy Masses: Analytical
Spirals -- no perfect solution with so much dark mass with somewhat unknown distributions!
Elliptical/spheroidal components treated, at least initially here, using the virial theorem.  Follow Longair here, more detail.  Also no perfect solution.
Order of magnitude, really.  Dark matter dominates.

Galaxy Masses: Ellipticals
Virial Theorem: A relationship between gravitational potential energy and velocities for a dynamically relaxed and bound system.
Ellipticals not necessarily rotating.
T = ˝ |U|, where T is the total kinetic energy and U is the potential energy.
So, for a cluster of stars or a cluster of galaxies, measuring T (by measuring velocities) can give U and therefore M.

Galaxy Masses
Virial Theorem: T = ˝ |U|
You do need to worry about the conditions of the theorem in an astrophysical context.  For instance, comparing crossing times with the relevant timescale.  Text examples are the sun’s orbital period and galaxies in Coma.

Galaxy Masses

Galaxy Masses
Astronomical context more complex.  Cannot in general get all the 3D velocities.  In exgal context, uncertain cosmology can translate into uncertain spatial dimensions.  Usually only have position on sky plus radial velocities.  Must make assumptions about velocity distribution to apply virial theorem.

Galaxy Masses
Isotropic case: <v2> = 3<vr2>  (why?)
If velocity dispersion independent of masses:
T = 3/2 M <vr2>, where M is total mass
More complex if the above is not true.  Assuming spherical symmetry and an observed surface distribution, get a weighted mean separation Rcl:

Galaxy Masses
For the specific case of a sphere of total mass M, size R, and constant density, the potential energy U = -3/5 (GM2/R).  Thus the virial theorem says T = ˝ U, so
(3/2) M <vr2> = (3/5) GM2/R
Mvirial = 5σr2R/G, where σr is the radial velocity dispersion
Works for elliptical galaxies and yields mass to light ratios of 10-20 in solar units.

Galaxy Masses: Spirals
Textbook (Combes et al.) goes through the old approach of flattened spheroids with a particular mass density as a function of radius.  This is perhaps useful review for qualifying exam as an exercise in gravitational physics.
Key is to use the rotation curve.
Solutions are appropriately simple for flat curves:
M(total) = V2rot R/G (spherical dark matter)
M(total) = (2/π) V2rot R/G (disk dark matter)
Where the disk is cut off at r=R, and V = constant (flat curve) inside r < R.
Mass increases linearly with r, for V = constant
Mass/Light ratio increases faster

Visible Mass ratios vs. Luminosity

Normalized mass distributions based on average rotation curves for different “types.”  Sc is type I, Sa and Sb are of all three types.
The famous Tully-Fisher law (basically L ~ V4).  Mike Pierce is an expert.  Why is H-band better and why is this so important in extragalactic astronomy?
What is its origin?

Significance of Tully-Fischer (Spirals)
M(total) = V2rot R/G
Recall M/L = constant (at least within class – and is more true across classes for H-band)
L ~ V2rot R/G
Also, surface brightness, μ, L/R2 ~ constant (“Freeman’s Law,” μ(r) = μ0exp(-r/r0))
Spiral central surface density = 21.65 B-mag arcsec-2
Together these give L ~ V4, or in terms of Absolute magnitude, M = -10logV + constant
Next chapter, Faber-Jackson equivalent for ellipticals

Longair Chapter 4: Galaxy Clusters
Large Scale Distribution of Clusters
Galaxy Distribution in Clusters
Dark Matter in Clusters
Forms of Dark Matter
(Combes et al. covers this way too briefly in ch. 11, so something of an aside now.)

Cluster Catalogs
Palomar Sky Survey using 48 inch Schmidt telescope (1950s)
Abell (1958) cataloged “rich” clusters – a famous work and worth a look
Abell, Corwin, & Olowin (1989) did the same for the south using similar plates
All original work was by visual inspection

Pavo Cluster

Cluster Selection Criteria (Abell)
Richness Criterion: 50 members brighter than 2 magnitudes fainter than the third brightest member.  Richness classes are defined by the number in this range:

Cluster Selection Criteria (Abell)
Compactness Criterion:  Only galaxies within an angular radius of 1.7/z arcmin get counted.  That corresponds to a physical radius of 1.5 h-1 Mpc.  The redshifts are (were) estimated based on the apparent magnitude of the 10th brightest cluster member.

Cluster Selection Criteria (Abell)
Distance Criteria:  Lower redshift limit (z = 0.02) to force clusters onto 1 plate.  Upper limit due to mag limit of POSS, which matches z of about 0.2.  Distance classes based on magnitude of 10th member:

More on Abell Clusters
Complete Northern Sample:
1682 Clusters of richness 1-5, distance 1-6.
Counts in Table 4.2 follow:
This is consistent with a uniform distribution*.
Space Density of Abell Clusters richer than 1:
For uniform distribution, cluster centers would be 50 h-1 Mpc apart, a factor of ten larger than that of mean galaxies.

Clusters of Clusters
Based on Abell’s Northern Sample:
Spatial 2-point correlation function (Bahcall):
Scale at which cluster-cluster correlation function has a value of unity is 5 times greater than that for the galaxy-galaxy correlation function.

Clusters of Clusters
Peebles (1980) schematic picture:
Cloud of galaxies is basic unit, scale of 50 h-1 Mpc
About 25% of galaxies in these clouds
All Abell Clusters are members of clouds (with about 2 per cloud), and contain about 25% of the galaxies in a cloud are in Abell Clusters (superclusters occur when several AC combine)
Remaining 75% follow galaxy-galaxy function
In terms of larger structures, galaxies hug the walls of the voids, clusters at the intersections of the cell walls.

Galaxies within Clusters
A range of structural types (Abell)
Regular indicates cluster is circular, centrally concentrated (cf. Globular clusters), and has mostly elliptical and S0 galaxies.  Can be very rich with > 1000 galaxies.  Coma is regular.
All others are irregular (e.g., Virgo).
I don’t know why he didn’t just call them type 1 and type 2…!  /sarcasm

Galaxies within Clusters
A range of structural types (Oemler 1974)
cD clusters have 1 or 2 central dominant cD galaxies, and no more than about 20% spirals, with a E: S0: S ratio of 3: 4: 2.
Spiral-rich clusters have E : S0 : S ratios more like 1: 2: 3 – about half spirals.
Remainder are spiral-poor clusters.  No dominant cD galaxy and typical ratio of 1: 2: 1.

Galaxies within Clusters
Galaxies differ in these types (Abell)
In cD clusters galaxy distribution is very similar to star distribution in globular clusters.
Spiral-rich clusters and irregular clusters tend not to be symmetric or concentrated.
Spiral-poor clusters are intermediate cf. above.
In spiral rich clusters, all galaxy types similarly distributed and no mass segregation, but in cD and spiral-poor clusters, you don’t see spirals in the central regions where the most massive galaxies reside.

Structures of Regular Clusters
Bahcall (1977) describes distributions as truncated isothermal distributions:
Where f(r) is the projected distribution normalized to 1 at r=0, and C is a constant that makes N(r) = 0 at some radius.  Results in steepening distribution in outer regions vs. pure isothermal soultion.
R1/2 = 150-400 kpc (220 kpc for Coma)

Structures of Regular Clusters
In central regions King profiles work well:
For these distributions N0 = 2Rcρ0.
De Vaucouleur’s law can also work.
Problem is observations do not constrain things quite tightly enough.

Rich Cluster Summary

Rich Cluster Summary

Dark Matter in Galaxy Clusters
How do we know it is there?
Dynamical estimates of cluster masses
X-ray emission/masses
(Sunyaev-Zeldovich Effect)
(Gravitational lensing)
What is the dark matter???
Baryons vs. non-Baryons

Dark Matter in Galaxy Clusters
Dynamical estimates of cluster masses
Virial Theorem as we have discussed, but…
Very few clusters exist that can be well done!
E.g, which are cluster members?
Must measure many velocities
Case of Coma
Regular rich cluster, looks like isothermal sphere
Crossing time arguments OK
Virial mass issue for Coma first by Zwicky (1937)
Surface distribution, velocities in next figure…

Dynamic Properties of Coma

Dynamic Masses for Coma
Merritt (1987) analysis:
Assuming constant M/L ratio, then mass is 1.79 x 1015h-1 solar masses, and M/L is 350 h-1 in solar units (think about that!).
Typical M/L for ellipticals is 15 in solar units.
Differ by a factor of 20
Why should the dark matter have the same distribution as the light?
Why should the velocities even be isotropic?

X-ray Masses for Clusters
UHURU in 1970s:
Rich clusters very bright in X-rays!
Bremsstrahlung emission of hot intercluster gas
Very hot gas requires large potential to hold
Can use to estimate the cluster mass

X-ray Masses for Clusters
Fabricant, Lecar, and Gorenstein (1980, ApJ 241, 552):
Assume spherical symmetry (as usual!)
Assume hydrostatic equilibrium (yes!):
Perfect gas law:

X-ray Masses for Clusters
Fabricant, Lecar, and Gorenstein:
For ionized gas, cosmic abundances, μ = 0.6
Differentiating the gas law, and inserting into the hydrostatic equation:
So, the mass distribution can be found if the variation of pressure and temperature with radius are known (measured).

X-ray Masses for Clusters
Fabricant, Lecar, and Gorenstein:
Bremsstrahlung spectral emissivity:
Gaunt factor can be approximated:

X-ray Masses for Clusters
Fabricant, Lecar, and Gorenstein:
Bremsstrahlung spectrum is roughly flat up to X-ray energies, above which it cuts off exponentially.  Cut-off is related to temperature.  E = hν ~ kBT.  The measurement is a projection onto 2D space.  Integrating emissivity and converting to intensity (surface brightness at the projected radius a):

X-ray Masses for Clusters
Simplified procedure:
Luminosity Density = total energy per second per unit volume integrating over all frequencies, for a fully ionized hydrogen plasma:
Lvol = 1.42 x 10-27ne2T1/2 ergs/s/cm3
Sometimes it can be assumed that you have an isothermal sphere (which is the case when the dark matter and the gas have the same radial dependence).  More next week on this.

X-ray Masses for Clusters
So, from the spectrum we can get the temperature as a function of radius, and from the intensity we can get the emissivity and hence the particle density.
Chandra is great for this type of observation:
http://chandra.harvard.edu/photo/2002/0146/
http://chandra.harvard.edu/photo/0087/
http://www1.msfc.nasa.gov/NEWSROOM/news/photos/2002/photos02-037.html
Cooling flows are one possible complication.

X-ray Masses for Clusters
ROSAT pictures: old and busted.
Chandra images: The New Hotness.
Important result is that the dark matter does follow the galaxies.
Typical masses then are 5x1014-15 solar masses, only 5% visible light, 10-30% hot gas, rest is DM.

Forms of Dark Matter???
We’re certain it is present.
Some is baryonic.
More is non-baryonic.

Baryonic Dark Matter
Protons, Neutrons, electrons (include black holes here too).
“Bricks?”
Brown dwarfs and the like.
BB nucleosynthesis constrains baryons to less than 0.036 h-2 of closure density.

Baryonic Dark Matter
Black holes constrained by lensing effects (or lack thereof).
MACHOs (Alcock et al. 1993):

Baryonic Dark Matter
MACHOs:
http://www.owlnet.rice.edu/~spac250/coco/spac.html
MACHOs are rather massive, around half a solar mass, and can contribute up to half of the dark halo mass.
White dwarfs???

Non-Baryonic Dark Matter
I’m no expert on this stuff (and in some sense NO ONE is).  Particle physicists play in this area more than astronomers.
Leading candidates include
Axions.  Cold, low mass, avoid strong CP violation.
Neutrinos.  Hot, low mass (getting better constrained), lots of them.  SN helps.
WIMPs.  Gravitino, photino, etc.
Mirror Matter.