Self-Similar Secondary Infall: A Physical Model of Halo ...
Transcript of Self-Similar Secondary Infall: A Physical Model of Halo ...
Self-Similar Secondary Infall:A Physical Model of Halo Formation
Phillip ZukinEd Bertschinger
Berkeley11/15/11
Wednesday, November 16, 2011
Wednesday, November 16, 2011
Wednesday, November 16, 2011
Wednesday, November 16, 2011
What do (Aquarius) simulations tell us?
• Halos have NFW (Einasto) density profiles.
• The density profile is (roughly) universal.
• The pseudo-phase-space density is universal.
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Secondary Infall
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Self-Similarity
1 2 3 4 50.00.20.40.60.81.0
Time
Radius
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Self-Similar Secondary Infall
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Why?
• Numerically (much) easier.
• Analytically tractable:
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(Some) Criticisms
• Spherical Halo?
• Box Orbits?
• Self-Similar?
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Model
• Initial density perturbation:
• Particles torqued throughout evolution.
• Parameters set by halo mass
• difficult to constrain analytically.
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What do we do Numerically?
• Mass profile depends on the location of all shells.
• Trajectory of shells depends on internal mass profile.
• 1) Start with an assumed mass profile.
• 2) Solve for the trajectory of one shell using Newton’s equation.
• 3) Calculate new mass profile.
• 4) Iterate.
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What do we do Analytically?
• Parametrize mass profile and variation of apocenter distance:
• Use adiabatic invariance and a mass consistency relationship to constrain both exponents.
M(r, t) = κ(t)rα
ra/r∗ = (t/t∗)q
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Model Results:Mass Profile
0.001 0.01 0.1 11x10-6
1x10-5
1x10-4
0.001
0.01
0.1
1 = 0.4 = 0.2 = 0 = 0.2 = 0.4
M(
)
rv rtay0
Radius
Mas
s
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Location of ShellsR
adiu
s
Turnaround Time
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Model Results:Mass Profile
0.001 0.01 0.1 11x10-6
1x10-5
1x10-4
0.001
0.01
0.1
1 = 0.4 = 0.2 = 0 = 0.2 = 0.4
M(
)
rv rtay0
Radius
Mas
s
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Model vs N-body
0.01 0.1 1 100.01
0.1
1
Secondary Infall:Aquarius AAquarius B
r2 [2 r
22 ]
r r 2
B2.3
r (7)conv r-2r (1)
conv r-2
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Model Results:Velocity Anisotropy
1e-05 0.0001 0.001 0.01 0.1 1-1.5
-1
-0.5
0
0.5
1 = 0.1 = 0 = 0.1
r rta
vy0 rv rta
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Model Results:Pseudo-Phase-Space Density
0.001 0.01 0.1 1
= 0.4 = 0.2 = 0 = 0.2 = 0.4
r rta
3 [
B t3
r ta3 ]
109
103
106 rv rtay0( = 0)
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Model vs N-body:Velocity Anisotropy
1 10 100
-0.4
-0.2
0
0.2
0.4
0.6
0.8Secondary Infall:Aquarius AAquarius B
v
r [kpc h]
r (7)conv rv
B2.3
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Model vs N-body
-3 -2.5 -2 -1.5 -1 -0.5dln dlnr
-0.4
-0.2
0
0.2
0.4
0.6
0.8
Hansen & Moore (2006)
v
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Model vs N-body:Pseudo-Phase-Space Density
0.1 1 10
Secondary Infall:Aquarius AAquarius B
3 [
-2-2
3 ]
r r 2
r (7)conv r 2
B2.3
105
102
10-1
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Summary
• Inner logarithmic slope of density and velocity profiles dependent on mass ( ) and angular momentum evolution after turnaround ( ).
• Model predicts that higher resolution simulations should see deviations from universal pseudo-phase-space density relationship.
• Model is too simplistic.
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Constraining
• Analyze evolution of angular momentum distribution in simulations.
• Depend on evolution of substructure? Baryons?
• Calculate for different physical processes?
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Understanding Phase Space Evolution: Brownian Motion Example
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What would I like to know?
• Is there an equivalent (analytic) description for Dark Matter Halos?
• Is there relaxation in a halo?
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New Set of Simulations
• Aquarius Simulations (6 highly resolved halos)
• Via Lactea (1 highly resolved halo)
• Caterpillar (~150 highly resolved halos!)
• Collaborators (Anna Frebel, Lars Hernquist, Mark Vogelsberger)
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Conclusions
• Self-Similar model works surprisingly well.
• How does angular momentum evolve in simulated halos (with baryons)?
• What about the phase space evolution?
• References:
• Zukin & Bertschinger (arXiv:1008.0639, arXiv:1008.1980)
• Navarro et. al. (arXiv:0810.1522)
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