Astr 5460 Mon. Sep. 13, 2004
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Today: Kinematics and Masses |
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Unless noted, all figs and equations from
Combes et al. or Longair’s Galaxy Formation. |
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WIRO… |
Radio vs. Optical
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What are the relative
advantages/disadvantages of each? |
Radio vs. Optical
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What are the relative
advantages/disadvantages of each? |
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Radio has great velocity resolution. |
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Radio sensitive to cool gas, beyond
stars. |
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Radio can map whole galaxy at once. |
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Optical work used to be easier before
VLA |
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Optical work has, usually, better
spatial resolution. |
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Radio: The “Spider”
Isovelocity Diagram, interpreting HI maps
Radio: The “Spider”
Isovelocity Diagram, interpreting HI maps
Isovelocity plots
Galaxy Masses: Analytical
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Spirals -- no perfect solution with so
much dark mass with somewhat unknown distributions! |
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Elliptical/spheroidal components
treated, at least initially here, using the virial theorem. Follow Longair here, more detail. Also no perfect solution. |
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Order of magnitude, really. Dark matter dominates. |
Galaxy Masses:
Ellipticals
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Virial Theorem: A relationship between
gravitational potential energy and velocities for a dynamically relaxed and
bound system. |
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Ellipticals not necessarily rotating. |
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T = ˝ |U|, where T is the total kinetic
energy and U is the potential energy. |
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So, for a cluster of stars or a cluster
of galaxies, measuring T (by measuring velocities) can give U and therefore
M. |
Galaxy Masses
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Virial Theorem: T = ˝ |U| |
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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
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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
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Isotropic case: <v2> =
3<vr2> (why?) |
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If velocity dispersion independent of
masses: |
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T = 3/2 M <vr2>,
where M is total mass |
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More complex if the above is not
true. Assuming spherical symmetry and
an observed surface distribution, get a weighted mean separation Rcl: |
Galaxy Masses
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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 |
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(3/2) M <vr2>
= (3/5) GM2/R |
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Mvirial = 5σr2R/G,
where σr is the radial velocity dispersion |
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Works for elliptical galaxies and
yields mass to light ratios of 10-20 in solar units. |
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Galaxy Masses: Spirals
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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. |
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Key is to use the rotation curve. |
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Solutions are appropriately simple for
flat curves: |
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M(total) = V2rot
R/G (spherical dark matter) |
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M(total) = (2/π) V2rot
R/G (disk dark matter) |
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Where the disk is cut off at r=R, and V
= constant (flat curve) inside r < R. |
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Mass increases linearly with r, for V =
constant |
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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.
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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? |
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What is its origin? |
Significance of
Tully-Fischer (Spirals)
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M(total) = V2rot
R/G |
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Recall M/L = constant (at least within
class – and is more true across classes for H-band) |
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L ~ V2rot R/G |
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Also, surface brightness, μ, L/R2
~ constant (“Freeman’s Law,” μ(r) = μ0exp(-r/r0)) |
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Spiral central surface density = 21.65
B-mag arcsec-2 |
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Together these give L ~ V4,
or in terms of Absolute magnitude, M = -10logV + constant |
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Next chapter, Faber-Jackson equivalent
for ellipticals |
Longair Chapter 4: Galaxy
Clusters
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Large Scale Distribution of Clusters |
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Galaxy Distribution in Clusters |
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Dark Matter in Clusters |
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Forms of Dark Matter |
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(Combes et al. covers this way too
briefly in ch. 11, so something of an aside now.) |
Cluster Catalogs
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Palomar Sky Survey using 48 inch
Schmidt telescope (1950s) |
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Abell (1958) cataloged “rich” clusters
– a famous work and worth a look |
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Abell, Corwin, & Olowin (1989) did
the same for the south using similar plates |
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All original work was by visual
inspection |
Pavo Cluster
Cluster Selection
Criteria (Abell)
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Richness Criterion: 50 members brighter
than 2 magnitudes fainter than the third brightest member. Richness classes are defined by the number
in this range: |
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Cluster Selection
Criteria (Abell)
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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. |
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Cluster Selection
Criteria (Abell)
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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
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Complete Northern Sample: |
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1682 Clusters of richness 1-5, distance
1-6. |
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Counts in Table 4.2 follow: |
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This is consistent with a uniform
distribution*. |
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Space Density of Abell Clusters richer
than 1: |
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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
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Based on Abell’s Northern Sample: |
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Spatial 2-point correlation function
(Bahcall): |
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Scale at which cluster-cluster
correlation function has a value of unity is 5 times greater than that for
the galaxy-galaxy correlation function. |
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Clusters of Clusters
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Peebles (1980) schematic picture: |
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Cloud of galaxies is basic unit, scale
of 50 h-1 Mpc |
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About 25% of galaxies in these clouds |
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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) |
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Remaining 75% follow galaxy-galaxy
function |
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In terms of larger structures, galaxies
hug the walls of the voids, clusters at the intersections of the cell walls. |
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Galaxies within Clusters
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A range of structural types (Abell) |
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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. |
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All others are irregular (e.g., Virgo). |
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I don’t know why he didn’t just call
them type 1 and type 2…! /sarcasm |
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Galaxies within Clusters
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A range of structural types (Oemler
1974) |
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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. |
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Spiral-rich clusters have E : S0 : S
ratios more like 1: 2: 3 – about half spirals. |
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Remainder are spiral-poor clusters. No dominant cD galaxy and typical ratio of
1: 2: 1. |
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Galaxies within Clusters
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Galaxies differ in these types (Abell) |
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In cD clusters galaxy distribution is
very similar to star distribution in globular clusters. |
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Spiral-rich clusters and irregular
clusters tend not to be symmetric or concentrated. |
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Spiral-poor clusters are intermediate
cf. above. |
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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. |
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Structures of Regular
Clusters
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Bahcall (1977) describes distributions
as truncated isothermal distributions: |
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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. |
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R1/2 = 150-400 kpc (220 kpc
for Coma) |
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Structures of Regular
Clusters
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In central regions King profiles work
well: |
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For these distributions N0 =
2Rcρ0. |
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De Vaucouleur’s law can also work. |
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Problem is observations do not
constrain things quite tightly enough. |
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Rich Cluster Summary
Rich Cluster Summary
Dark Matter in Galaxy
Clusters
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How do we know it is there? |
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Dynamical estimates of cluster masses |
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X-ray emission/masses |
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(Sunyaev-Zeldovich Effect) |
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(Gravitational lensing) |
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What is the dark matter??? |
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Baryons vs. non-Baryons |
Dark Matter in Galaxy
Clusters
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Dynamical estimates of cluster masses |
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Virial Theorem as we have discussed,
but… |
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Very few clusters exist that can be
well done! |
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E.g, which are cluster members? |
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Must measure many velocities |
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Case of Coma |
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Regular rich cluster, looks like
isothermal sphere |
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Crossing time arguments OK |
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Virial mass issue for Coma first by
Zwicky (1937) |
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Surface distribution, velocities in
next figure… |
Dynamic Properties of
Coma
Dynamic Masses for Coma
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Merritt (1987) analysis: |
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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!). |
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Typical M/L for ellipticals is 15 in
solar units. |
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Differ by a factor of 20 |
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Why should the dark matter have the
same distribution as the light? |
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Why should the velocities even be
isotropic? |
X-ray Masses for Clusters
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UHURU in 1970s: |
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Rich clusters very bright in X-rays! |
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Bremsstrahlung emission of hot
intercluster gas |
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Very hot gas requires large potential
to hold |
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Can use to estimate the cluster mass |
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X-ray Masses for Clusters
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Fabricant, Lecar, and Gorenstein (1980,
ApJ 241, 552): |
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Assume spherical symmetry (as usual!) |
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Assume hydrostatic equilibrium (yes!): |
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Perfect gas law: |
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X-ray Masses for Clusters
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Fabricant, Lecar, and Gorenstein: |
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For ionized gas, cosmic abundances, μ
= 0.6 |
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Differentiating the gas law, and
inserting into the hydrostatic equation: |
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So, the mass distribution can be found
if the variation of pressure and temperature with radius are known
(measured). |
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X-ray Masses for Clusters
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Fabricant, Lecar, and Gorenstein: |
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Bremsstrahlung spectral emissivity: |
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Gaunt factor can be approximated: |
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X-ray Masses for Clusters
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Fabricant, Lecar, and Gorenstein: |
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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): |
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X-ray Masses for Clusters
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Simplified procedure: |
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Luminosity Density = total energy per
second per unit volume integrating over all frequencies, for a fully ionized
hydrogen plasma: |
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Lvol = 1.42 x 10-27ne2T1/2
ergs/s/cm3 |
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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. |
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X-ray Masses for Clusters
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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. |
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Chandra is great for this type of
observation: |
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http://chandra.harvard.edu/photo/2002/0146/ |
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http://chandra.harvard.edu/photo/0087/ |
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http://www1.msfc.nasa.gov/NEWSROOM/news/photos/2002/photos02-037.html |
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Cooling flows are one possible
complication. |
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X-ray Masses for Clusters
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ROSAT pictures: old and busted. |
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Chandra images: The New Hotness. |
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Important result is that the dark
matter does follow the galaxies. |
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Typical masses then are 5x1014-15
solar masses, only 5% visible light, 10-30% hot gas, rest is DM. |
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Forms of Dark Matter???
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We’re certain it is present. |
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Some is baryonic. |
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More is non-baryonic. |
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Baryonic Dark Matter
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Protons, Neutrons, electrons (include
black holes here too). |
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“Bricks?” |
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Brown dwarfs and the like. |
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BB nucleosynthesis constrains baryons
to less than 0.036 h-2 of closure density. |
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Baryonic Dark Matter
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Black holes constrained by lensing
effects (or lack thereof). |
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MACHOs (Alcock et al. 1993): |
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Baryonic Dark Matter
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MACHOs: |
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http://www.owlnet.rice.edu/~spac250/coco/spac.html |
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MACHOs are rather massive, around half
a solar mass, and can contribute up to half of the dark halo mass. |
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White dwarfs??? |
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Non-Baryonic Dark Matter
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I’m no expert on this stuff (and in
some sense NO ONE is). Particle
physicists play in this area more than astronomers. |
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Leading candidates include |
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Axions.
Cold, low mass, avoid strong CP violation. |
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Neutrinos. Hot, low mass (getting better constrained),
lots of them. SN helps. |
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WIMPs.
Gravitino, photino, etc. |
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Mirror Matter. |
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