Self-Similar Secondary Infall: A Physical Model of Halo ...

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Self-Similar Secondary Infall: A Physical Model of Halo Formation Phillip Zukin Ed Bertschinger Berkeley 11/15/11 Wednesday, November 16, 2011

Transcript of Self-Similar Secondary Infall: A Physical Model of Halo ...

Page 1: 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

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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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