dark matter and galaxy formationspd3/teaching/phys2220/phys2220... · 2011. 11. 2. · dark matter...
TRANSCRIPT
Dark matter and galaxy formation • Galaxy rotation
– The virial theorem – Galaxy masses via K3 – Mass-to-light ratios
• Rotation curves – Milky Way – Nearby galaxies
• Dark matter – Baryonic or non-baryonic – A problem with gravity?
• Galaxy formation – Hierarchical merging – Monolithic collapse – Secular evolution
Galaxy Rotation
• Galaxies form via collapse due to gravity • As they collapse the rotation increases (conservation of
angular momentum)
• Eventually, equilibrium is reached:
2rGMmF =
rmvF
2
=GRAVITY
= CENTRIFUGAL
The Virial Theorem • The Virial theorem applies when the galaxy is in equilibrium
and we can equate these two Forces:
• v = the velocity of rotation at radius r which depends only on
the mass interior to r
mv2
r=GMmr2
v = GMr
m v
r
The Mass of a Galaxy A star at the edge of a distant galaxy has a velocity about the
galaxy’s centre of 200 km/s. Its distance from the centre of the galaxy is 15 kpc. What is the mass of the galaxy ?
kgsMGrvM
rGMv
41
11
164252
107.21067.6
103105.1)102(
!=!
!!!!!==
=
"
The Mass-to-light Ratio For the same galaxy if its absolute magnitude is -‐20.5 mags
what is its mass-‐to-‐light raHo ?
So the mass-‐to-‐light raHo (within the stellar disc) is:
47.510102.1
10102107.2
)48.55.20(4.011
)(4.030
41GAL
GAL
GAL
GAL
GAL
=
!!=
!
!=
=
=
""
"
#
#
#
#
#
XX
X
LLX
LX
L
MM
MM
MM
!
!
LM5.5
The Mass Distribution • Stars and gas are centrally concentrated • Hence if stars trace the mass then the mass must also be
centrally concentrated • Stars at large radii should see almost all the mass, i.e.,
• If stars trace mass:
A B
BABABA vvrrMM !"#$ so,
We need to measure v as a function of r => Rotation curve
Measuring Rotation Curves Take spectra at different locations in the galaxy
The two spectra are slightly offset and this difference gives a velocity difference between the centre and the edge of the galaxy
I
I
λ
crvBULGE!!"
=)(
Δλ
Rotation Curves • As the stars and gas are
centrally concentrated we expect: v ∼ r -0.5
• But by measuring rotation curves we observe: – A flat rotation curve beyond
the stellar population
RADIUS
VELO
CITY
RADIUS
VELO
CITY
B A
B A
=> Additional Mass Component
MW rotation curve
A Universal Flat Rotation Curve
and a few more….
Implication • At large radii:
• Hence:
• i.e., Mass is proportional to radius • Or:
• This is the equation for an isothermal sphere and implies a spherical halo of extra mass
BA vv =
B
B
A
A
rGM
rGM
=
rA !rB "MA !MB,"M #R
23
1RR
RVM
!!="
Conclusions • Almost all spiral galaxies have flat rotation curves • Those that don’t are usually interacting (not in equilibrium) • Stars do not trace the mass • Stars are a minor mass component, about 10% • Some kind of DARK MATTER must exist • It must be distributed in a large outer halo (isothermal sphere)
Our Working Galaxy Model
BULGE DARK MATTER HALO
STELLAR DISK
HI GAS DISK GLOBULAR CLUSTER
COMPANION
Dark Matter in Galaxy Clusters • Original argument for Dark Matter originated in Clusters
– Pre-dates rotation curve observations and analysis – Discovered by Fritz Zwicky (1930s) – Motions of galaxies within clusters suggests clusters should not be
bound: very large velocities observed – The fact that clusters are bound indicates more mass than present in
luminous matter – Dark matter required to keep cluster bound – Can measure mass of cluster from dynamics, lensing and SZ effect all
imply a high mass-to-light ratio suggesting Dark Matter
• Further evidence comes from Cosmology – Big Bang Nucleosynthesis predicts the baryon density – Large scale structure predicts the mass density – Above are off by a factor of 6 implying Dark Matter in non-baryonic
Mass via Grav. Lensing
To create realisHc simulaHons of Large Scale Structure a modest to high mass density is required (25% closure) To explain the element abundances in low metalicity stars a low baryonic mass density is required (4% closure) The baryonic maSer we can idenHfy in galaxies adds up to and even smaller amount (2%) Results imply both a small missing baryonic component and a large non-‐baryonic mass component But what?
Blue = data Red = simulaHons
DARK MATTER candidates • Normal (i.e., Baryonic)
– Ionised gas – Cold dust – Planets – White dwarfs – Black Holes – MACHOS (Massive Compact Halo Objects)
• ExoHc (i.e., non-‐Baryonic) – Cold -‐ WIMPs (Weakly InteracHng Massive ParHcles) – Warm – Sterile Neutrinos, GravaHnos – Hot -‐ Neutrinos (A wee bit of nothing that spins)
Many studies in progress
Many DM experiments underway
Alternatively… • We do not have the correct theory of gravity
– Enhanced GR • In the same way that Newtonian gravity could not explain all
observations (e.g., Mercury’s orbit), General Relativity may not be the whole story…
• We either need an observational breakthrough to “discover” the dark matter particle, or a more convincing theoretical model
• Both avenues being heavily pursued: – MOND – Modified Newtonian Gravity (non-relativistic) – TeVeS – Tensor Vector Scalar theory (relativistic version of MOND) – Weyl Gravity – Conformal Gravity (motivated by an attempt to unify
gravity and EM) • See recent paper on this topic: http://arxiv.org/pdf/1110.5026
How did Galaxies Form? • Hierarchical merging • For
– Mergers seen – Ellipticals in high density
environments – Irrs isolated
• Against – Ellipticals seen at early epochs – Irregulars forming today
• Initial Collapse • For
– Ellipticals are old – Ellipticals seen at high z – Spirals/Irrs rotating – Irregulars forming today
• Against – Mergers seen
PROBABLY SOME OF EACH OCCURRING
How did Galaxies Form ?
• Hierarchical Merging • Initial Collapse TWO COMPETING SCENARIOES
TIME
The Antennae Galaxy: mid-merger
Formation of an Elliptical galaxy
Quiescent Period
Era of SF, Mergers and HTF formation
27
Puang it together ? Dark MaSer Baryonic MaSer 0yrs 5Gyrs
13Gyrs
Rapid merging
Slow merging
SMBHs AGN
BULG
ES
DISKS
P-‐BU
LGES
??
?? ??
??
COLLAPSE
INFALL
SECULAR
ACCE
LERA
TING DEC
ELER
ATING
U
Model of energy output of Universe v data
Orange = IniHal collapse & mergers Blue = Slow gas infall Black = Total energy
UV
OPTICAL
NEAR-‐IR
Age of Universe
Cluster Formation Simulation
John Dubinski: www.cita.utoronto.ca/~dubinski