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* CUSP or CORE CUSP or CORE Antonino Del Popolo Antonino Del Popolo Vulcano Workshop 2010 Workshop 2010 Vulcano May 23-29, Vulcano, Italy * Outline Outline The cusp/core problem in CDM haloes The cusp/core problem in CDM haloes


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SLIDE 1

CUSP or CORE CUSP or CORE

Antonino Del Popolo Antonino Del Popolo

Vulcano Vulcano Workshop 2010 Workshop 2010

May 23-29, Vulcano, Italy

*

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SLIDE 2

Outline Outline

  • The cusp/core problem in CDM haloes

The cusp/core problem in CDM haloes

  • Proposed solutions

Proposed solutions

  • Secondary

Secondary Infall Infall Model (SIM) and the cusp/core Model (SIM) and the cusp/core problem problem

*

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SLIDE 3

*

1.02 0.02 0.73 0.04 0.27 0.04

tot m

  • =

± = ± = ±

71 4 / / 13.7 0.2 H km s Mpc t Gyr = ± = ±

0.044 0.04

B

= ±

Structure formation

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SLIDE 4

Main Main problems problems

  • f
  • f

the the Λ Λ-CDM

  • CDM

paradigm paradigm

Despite successes of ΛCDM on large and intermediate scales, serious issues remain

  • n smaller, galactic and sub-galactic, scales.

Dark matter cusps in galaxy centers, in particular absent LSBs and in dwarf Irr, dominated by dark matter

Flores & Flores & Primack Primack 1994 1994: at small radii halos are not going to be singular (analysis of : at small radii halos are not going to be singular (analysis of the flat rotation curves of the low surface brightness (LSB) galaxies). the flat rotation curves of the low surface brightness (LSB) galaxies). Other studies Other studies (Moore 1994; (Moore 1994; Burkert Burkert 1995; 1995; Kravtsov Kravtsov et al. 1998; et al. 1998; Borriello Borriello & & Salucci Salucci 2001; de 2001; de Blok Blok et al. 2001; de et al. 2001; de Blok Blok & & Bosma Bosma 2003, etc.) indicates that the shape of 2003, etc.) indicates that the shape of the density profile is shallower than what is found in numerical simulations the density profile is shallower than what is found in numerical simulations ( = 0.2 ± 0.2 (de ( = 0.2 ± 0.2 (de Blok Blok, , Bosma Bosma, & , & McGaugh McGaugh 2003)) 2003))

*

cusp core

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SLIDE 5

Navarro, Navarro, Frenk Frenk & & White (1997) White (1997)

log(density log(density) )

log(radius log(radius) )

)] 1 /( ) 1 [ln( 3 ) ( ) ( ) ( ) ( ) / 1 )( / ( ) (

3 2

c c c c M M r M r M c r r r r r

vir c s vir vir s s crit c

+

  • +
  • +

=

  • *

inner slope in higher-resolution simulations is inner slope in higher-resolution simulations is steeper (~ steeper (~ – –1.5) than the NFW value ( 1.5) than the NFW value (– –1.0) 1.0)

Moore et al. (1998) mass resolution

  • Asymptotic outer slope -3;

Asymptotic outer slope -3; inner -1 inner -1

Navarro et al. 2004

ln( /2) = (2/)[(r /r

2) 1]

= dlog /dlogr = 2

r r-2

  • 2 radius at

radius at which which

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SLIDE 6

Stadel Stadel et et al. al. (2009) (2009) (mass (mass resolution resolution 1000 1000 Solar Solar masses.Slope masses.Slope at 0.05% at 0.05% R_vir R_vir is is -0

  • 0.8

.8) )

Fitting Formula, Stadel-Moore *

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SLIDE 7

Gentile et al. 2004 (and similarly Gentile et al. 2007): models with a constant density core are preferred.

Burkert: with a DM core ρ= ρs/(1+r/rs)(1+(r/rs)2) NFW ρ = ρs/(r/rs)(1+r/rs)2 Moore ρ = ρs/(r/rs)1.5(1+(r/rs)1.5) HI-scaling, with a cst factor MOND, without DM

*

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SLIDE 8

CL0024+1654 CL0024+1654

Tyson, Kochanski & Dell’Antonio (1998)

  • Gravitational lensing yield conflicting estimates, as well, sometime in agreement

with Numerical simulations (Dahle et al 2003; Gavazzi et al. 2003) or finding much shallower Slopes (-0.5) (Sand et al. 2002; Sand et al. 2004)

  • On cluster scales X-ray analyses have led to wide ranging of value of the slope

from: -0.6 (Ettori et al. 2002) to -1.2 (Lewis et al. 2003) till -1.9 (Arabadjis et al. 2002) InnerSlope= 0.57 0.02

±

*

Elliptical potentials can be unphysical (Schramm 1994), so the mass distribution is parameterized as a cluster of mass concentrations (“mascons”). Each mascon is based

  • n a power-law (PL)

model (Schneider, Ehlers, & Falco 1993) for the mass density versus projected radius

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SLIDE 9

Proposed solutions Proposed solutions

  • Observational problems

Observational problems – – Beam smearing; non-circular motion etc. Beam smearing; non-circular motion etc.

  • Failure of the CDM model or problems with simulations

Failure of the CDM model or problems with simulations (del Blok et al (del Blok et al 2001, 2003; 2001, 2003; Borriello Borriello & & Salucci Salucci 2001) (resolution; relaxation; 2001) (resolution; relaxation; overmerging

  • vermerging)

)

  • New physics

New physics – – WDM (Colin et al. 2000; WDM (Colin et al. 2000; Sommer Sommer-Larsen &

  • Larsen & Dolgov

Dolgov 2001) 2001) – – Self-interacting DM ( Self-interacting DM (Spergel Spergel & Steinhardt 2000; Yoshida et al. 2000; & Steinhardt 2000; Yoshida et al. 2000; Dave et al. 2001) Dave et al. 2001) – – R Repulsive epulsive DM (Goodman 2000) DM (Goodman 2000) – – Fluid DM (Peebles 2000), Fluid DM (Peebles 2000), – – Fuzzy DM ( Fuzzy DM (Hu Hu et al. 2000), et al. 2000), – – Decaying DM ( Decaying DM (Cen Cen 2001), 2001), – – Self- Self-Annihilating DM ( Annihilating DM (Kaplinghat Kaplinghat et al. 2000), et al. 2000), – – Modified gravity Modified gravity

  • Solutions within standard

Solutions within standard Λ ΛCDM CDM (requires (requires “ “heating heating” ” of dark matter)

  • f dark matter)

– – Rotating bar Rotating bar – – Passive evolution of cold lumps (e.g., El Passive evolution of cold lumps (e.g., El Zant Zant et al., 2001) et al., 2001) – – AGN AGN

*

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SLIDE 10

ALTERNATIVE APPROACH TO N-BODY ALTERNATIVE APPROACH TO N-BODY SIMULATIONS SIMULATIONS

  • Gunn

Gunn & & Gott Gott’ ’s SIM s SIM ( (Ryden Ryden & & Gunn Gunn 1987; 1987; Avila-Reese Avila-Reese 1998; 1998; DP2000; DP2000; Lokas Lokas 2000; 2000; Nusser Nusser 2001; 2001; Hiotelis Hiotelis 2002; Le 2002; Le Delliou Delliou Henriksen Henriksen 2003; 2003; Ascasibar Ascasibar et et al. 2003; Williams

  • al. 2003; Williams et

et al. 2004).

  • al. 2004).
  • DP2000,

DP2000, Lokas Lokas 2000 2000 reproduced reproduced the NFW the NFW profile profile considering considering radial radial collapse collapse. .

  • The

The other

  • ther

authors authors in the in the above above list list studied studied the the effect effect of

  • f angular

angular momentum momentum, L, and , L, and non-radial non-radial motions motions in SIM in SIM showing showing a a flattening flattening

  • f the
  • f the inner

inner profile profile with with increasing increasing L. L.

  • El-Zant

El-Zant et et al. (2001)

  • al. (2001)

proposed proposed a a semianalytial semianalytial model: model: dynamical dynamical friction friction dissipate dissipate orbital

  • rbital

energy energy of gas

  • f gas distributed

distributed in in clumps clumps depositing depositing it it in dark in dark matter matter with with the the result result of

  • f erasing

erasing the the cusp cusp. .

*

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SLIDE 11

Why Why SIM (or SIM (or semi-analytical semi-analytical models models) ) ? ?

  • advantages:

advantages:

– – computationally efficient (it takes about 10 s to compute the computationally efficient (it takes about 10 s to compute the density profile of a given object at a given epoch on a density profile of a given object at a given epoch on a desktop PC) desktop PC) – – flexible flexible (one can (one can study study the the effects effects of

  • f physical

physical processes processes one

  • ne

at a time) at a time) – – can incorporate many physical effects in at least a schematic can incorporate many physical effects in at least a schematic manner manner

  • disadvantages:

disadvantages:

– – treatment of physical processes is only approximate treatment of physical processes is only approximate (but (but SIM provides a viable dynamical model for predicting the SIM provides a viable dynamical model for predicting the structure and evolution of the density profile of dark matter structure and evolution of the density profile of dark matter haloes ( haloes (Toth Toth & & Ostriker Ostriker 1992; 1992; Huss Huss et al. 1999; et al. 1999; Ascasibar Ascasibar et et

  • al. 2006, etc.).
  • al. 2006, etc.).
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SLIDE 12

Why Why n numerical umerical n-body simulations? n-body simulations?

  • advantages:

advantages:

– – “ “exact exact” ”, detailed treatment of physical processes (but this, , detailed treatment of physical processes (but this, somehow, turns to be a disadvantage*) somehow, turns to be a disadvantage*)

  • disadvantages:

disadvantages:

– – computationally expensive, so unfeasible to explore large computationally expensive, so unfeasible to explore large parameter space or to simulate large volumes at high resolution parameter space or to simulate large volumes at high resolution – – No baryons physics No baryons physics – – difficulty to incorporate additional physical processes (e.g. BH difficulty to incorporate additional physical processes (e.g. BH growth, AGN feedback) growth, AGN feedback) – – currently, even currently, even ‘ ‘best best’ ’ simulations do poorly at matching simulations do poorly at matching fundamental galaxy observations (e.g. overcooling problem, fundamental galaxy observations (e.g. overcooling problem, angular momentum problem) angular momentum problem) – – * So rich in dynamical processes that it is hard to disentangle * So rich in dynamical processes that it is hard to disentangle and interpret in terms of underlying physics. and interpret in terms of underlying physics.

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SLIDE 13

ASSUMPTIONS ASSUMPTIONS

  • As Hoffman &

As Hoffman & Shaham Shaham (1985) that objects forms (1985) that objects forms around maxima of the (Gaussian) smoothed density around maxima of the (Gaussian) smoothed density field. field.

  • In our approach, the density

In our approach, the density pro profi file le of each

  • f each

protostructure protostructure is approximated by the superposition of a is approximated by the superposition of a spherical spherical pro profi file le, , δ δ(r (r), and a random CDM distribution, ), and a random CDM distribution, ε ε(r (r), which provides the ), which provides the quadrupole quadrupole moment of the moment of the protostructure protostructure. .

  • We study the collapse in presence of ordered and

We study the collapse in presence of ordered and random angular momentum, dynamical friction, and random angular momentum, dynamical friction, and baryons adiabatic contraction (AC). baryons adiabatic contraction (AC).

The Model: SIM +L+DF+BDC

*

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SLIDE 14
  • The dynamical evolution of matter at the distance x

The dynamical evolution of matter at the distance xi

i from the peak is determined by

from the peak is determined by the mean cumulative density perturbation within x the mean cumulative density perturbation within xi

i and the maximum radius of

and the maximum radius of expansion can be obtained knowing x expansion can be obtained knowing xi

i and the mean cumulative density of the

and the mean cumulative density of the perturbation. perturbation.

  • After reaching maximum radius, a shell collapses and will start oscillating and it will

After reaching maximum radius, a shell collapses and will start oscillating and it will contribute to the inner shells with the result that energy will not be an integral of contribute to the inner shells with the result that energy will not be an integral of motion any longer. The dynamics of the motion any longer. The dynamics of the infalling infalling shells is obtained by assuming that shells is obtained by assuming that the potential well near the center varies adiabatically (Gunn 1977; FG84; the potential well near the center varies adiabatically (Gunn 1977; FG84; Ryden Ryden & & Gunn 1987). Gunn 1987).

  • Initial density peak are smooth, but contain many smaller scale positive and negative

Initial density peak are smooth, but contain many smaller scale positive and negative perturbations that originate in the same Gaussian random perturbations that originate in the same Gaussian random fi field eld producing the main producing the main

  • peak. These secondary perturbations will perturb the motion of the dark matter
  • peak. These secondary perturbations will perturb the motion of the dark matter

particles from their otherwise purely radial orbits. particles from their otherwise purely radial orbits.

  • Ordered angular momentum was calculated by means of the standard theory of

Ordered angular momentum was calculated by means of the standard theory of acquisition of angular momentum through tidal torques, while the random part of acquisition of angular momentum through tidal torques, while the random part of angular momentum was assigned to angular momentum was assigned to protostructures protostructures according to Avila-Reese et al. according to Avila-Reese et al. (1998) scheme. (1998) scheme.

  • Dynamical friction was calculated dividing the gravitational

Dynamical friction was calculated dividing the gravitational fi field eld into an average and into an average and a random component generated by the clumps constituting hierarchical universes. a random component generated by the clumps constituting hierarchical universes.

  • The baryonic dissipative collapse (adiabatic contraction) was taken into account by

The baryonic dissipative collapse (adiabatic contraction) was taken into account by means of means of Gnedin Gnedin et al. (2004) model and et al. (2004) model and Klypin Klypin et al. (2002) model taking also et al. (2002) model taking also account of exchange of angular momentum between baryons and DM. account of exchange of angular momentum between baryons and DM.

*

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SLIDE 15

R Results esults

*

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SLIDE 16

Dark matter haloes generated with the model described. In panels (a)-(d) the solid line represents the NFW model while the dotted line the density profile obtained with the model

  • f the present paper for masses (panel a), (panel b).

The dashed line in panel (b) represents the density profile obtained reducing the magnitude of h, j and mu.

11

10 M

12

10 M

a b a *

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SLIDE 17

c d * (panel c), (panel d), . The dashed line in panel (c) represents the Burkert fit to the halo.

8

10 M

10

10 M

8

10 M

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SLIDE 18

Distribution of the total specific angular momentum, JTot. The dotted-dashed and dashed line represents the quoted distribution for the halo n. 170 and n. 081, respectively,

  • f van den Bosch et al. (2002). The dashed histogram is the distribution obtained from
  • ur model for the halo and the solid one the angular momentum

distribution for the density profile reproducing the NFW halo.

12

10 M

*

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SLIDE 19

Density profile evolution of a halo. The solid line represents the profile at z=10. The profile at z=5, z=3, z=2, z=1, z=0 is represented by the uppermost dashed line, long-dashed line, short-dashed line, dot-dashed line, dotted line, respectively.

9

10 M

*

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SLIDE 20

Comparison of the rotation curves obtained our model (solid lines) with rotation curves Of four LSB galaxies studied by Gentile et al. (2004). The dotted line represents the fit With a NFW model. *

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SLIDE 21

Comparison of the rotation curves obtained with the model of the present paper (solid lines) with the rotation curves of four LSB galaxies studied by de Blok & Bosma (2002). The dashed line represents the fit with NFW model.

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SLIDE 22

The density profile evolution of a halo. The (uppermost) dot-dashed line represents the total density profile of a halo at z=0. The profile at z=3, z=1.5, z=1 and z=0 is represented by the solid line, dotted-line, short-dashed-line, long-dashed-line, respectively.

14

10 M

14

10 M

*

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SLIDE 23

Final DM density profile Final DM density profile

L_in L_in+L_out L_in+L_out+ DF+BDC

Fitted by Burkert profile

*

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SLIDE 24

– – CDM struggles to answer questions of galaxy formation, including missing satellites, CDM struggles to answer questions of galaxy formation, including missing satellites, cusps vs. cores, and structure in voids. cusps vs. cores, and structure in voids. – – Numerical simulations for Numerical simulations for collisionless collisionless dark matter consistently suggest the formation dark matter consistently suggest the formation

  • f a central cusp rather than a core while galactic rotation curves indicate a relatively
  • f a central cusp rather than a core while galactic rotation curves indicate a relatively

flat core rather than a cusp. flat core rather than a cusp. – – SIM has proven to predict correctly density profiles. It agrees with simulations over all SIM has proven to predict correctly density profiles. It agrees with simulations over all radial ranges if the collapse is purely spherical. radial ranges if the collapse is purely spherical. – – SIM with L SIM with Lin

in , L

, Lout

  • ut , DF, Baryons AC agrees with simulations except in the inner part of

, DF, Baryons AC agrees with simulations except in the inner part of the density profile where predicts core-like profiles (different slopes for galaxies and the density profile where predicts core-like profiles (different slopes for galaxies and clusters). clusters). – – On galactic scales, where DM dynamics and baryons dynamics are entangled, the On galactic scales, where DM dynamics and baryons dynamics are entangled, the cusp/core problem seems to be a cusp/core problem seems to be a “ “genuine genuine” ” one, in the sense that the disagreement

  • ne, in the sense that the disagreement

between observations and N-body simulations is not due to numerical artifacts or between observations and N-body simulations is not due to numerical artifacts or problems with simulations. problems with simulations. – – At the same time it is an apparent problem, since the disagreement between At the same time it is an apparent problem, since the disagreement between

  • bservations and
  • bservations and dissipationless

dissipationless simulations is related to the fact that the latter are simulations is related to the fact that the latter are not taking account of baryons physics. This means that we are comparing two not taking account of baryons physics. This means that we are comparing two different systems, one different systems, one dissipationless dissipationless (i.e., DM) and the other (i.e., DM) and the other dissipational dissipational (i.e., inner (i.e., inner part of structures), and we cannot expect them to have the same behavior. part of structures), and we cannot expect them to have the same behavior.

Summary & Conclusions

*

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SLIDE 25

Del Del Popolo Popolo A., 2009, A., 2009, ApJ ApJ 698:2093-2113 698:2093-2113 Del Del Popolo Popolo A., A., Kroupa Kroupa P., 2009, A&A 502, 733-747 P., 2009, A&A 502, 733-747

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SLIDE 26

Details Details

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SLIDE 27

– – CDM struggles to answer questions of galaxy formation, including missing satellites, cusps vs. CDM struggles to answer questions of galaxy formation, including missing satellites, cusps vs. cores, and structure in voids. cores, and structure in voids. – – Numerical simulations for Numerical simulations for collisionless collisionless dark matter consistently suggest the formation of a central dark matter consistently suggest the formation of a central cusp ( cusp (∝ ∝ r r-1.5

  • 1.5) rather than a core.

) rather than a core. – – The Universality of the profile is no longer so sure . The Universality of the profile is no longer so sure . – – Galactic rotation curves indicate a relatively flat core rather than a cusp, but gravitational Galactic rotation curves indicate a relatively flat core rather than a cusp, but gravitational lensing lensing, , in some cases, indicates the contrary. in some cases, indicates the contrary. – – Some kind of DM can erase the central cusp but new complications appear (e.g., Some kind of DM can erase the central cusp but new complications appear (e.g., collisional collisional dark dark matter with an appropriate cross section can erase the central cusp but result in too spherical matter with an appropriate cross section can erase the central cusp but result in too spherical halos.) halos.) – – Baryons-DM Baryons-DM interaction interaction has has the power the power to to flatten flatten the the inner inner density density profile profile but but it it is is not not clear clear how how they they can can affect affect the the profile profile of

  • f LSBs

LSBs. . – – SIM has proven to predict correctly density profiles. It agrees with simulations over all radial SIM has proven to predict correctly density profiles. It agrees with simulations over all radial ranges if the collapse is purely spherical. ranges if the collapse is purely spherical. – – SIM with non-radial collapse agrees with simulations except in the inner part of the density profile SIM with non-radial collapse agrees with simulations except in the inner part of the density profile where predicts a core. where predicts a core. – – A A simple simple solution solution for for a a complicated complicated problem problem? ? – – In any case several others problems affect LCDM, difficult to solve all together by only one model In any case several others problems affect LCDM, difficult to solve all together by only one model

Summary & Conclusions

*

slide-28
SLIDE 28

(0)

  • =

Initial density profiles of dark matter haloes for Different peak for 2, 3, 4 peaks (2, 3, 4 sigma) ( )

slide-29
SLIDE 29

Specific angular momentum for the previously quoted density peaks: 2 sigma (dotted); 3 sigma (solid); 4 sigma dashed)

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SLIDE 30

Left: Time evolution of the scale parameter for pure sphericall collapse (solid line), and taking account of angular momentum (dashed), and angular momentum and dynamical friction (dotted). Peak: 2 sigma Right: Accreted mass

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SLIDE 31
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SLIDE 32

The random specific angular momentum, j for three values of the parameter nu (nu= 2 solid line, nu = 3 dotted line, nu= 4 dot-dashed line) and for Rf = 0,12 Mpc. The radius r is connected to the mass M as described in the text.

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SLIDE 33

The ratio of the ordered, h, to random specific angular momentum, j for three values of the parameter nu (nu= 2 solid line, nu = 3 dotted line, nu = 4 dot- dashed line) and for Rf = 0,12 Mpc. The radius r is connected to the mass M as described in the text.

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SLIDE 34

Variation of the dynamical friction coefficient mu with nuc for a system having Rsys = 5 Mpc and for Rf = 0,12 Mpc (solid line), Rf = 0,3 Mpc (dot- dashed line), Rf = 0,5 Mpc (short-dashed line), Rf = 0,7 Mpc (long-dashed line). Units have been expressed in terms of Msolar, Mpc, Tc0.

slide-35
SLIDE 35
  • A

A bound bound mass mass shell shell having having initial initial comoving comoving radius radius will will expand expand to to a a maximum maximum radius radius ( (apapsis apapsis) of a ) of a shell shell: :

i

x

m

x

1

1 ( ) ( 1)

i m i i i i

x g x x

  • +

= =

  • where the mean fractional density excess inside the shell,

as measured at current epoch to, assuming linear growth is:

  • 2

3

3 ( )

i

x i i

y y dy x

  • =
  • Final radius, x, scales with the turn around radius, ,

as:

m

x ( )

i m

x f x x =

The Model: SIM +L+DF+BDC

  • Eq. 1
  • Eq. 2
  • Eq. 3

*

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SLIDE 36
  • If

If mass mass is is conserved conserved and and each each shell shell is is kept kept at at its its turn- turn- around around radius radius, ,then then the the shape shape of the density

  • f the density profile

profile is is given given by by ( (Peebles Peebles 1980; HS; White & 1980; HS; White & Zaritsky Zaritsky 1992): 1992):

  • Using

Using Virial Virial theorem theorem one

  • ne gets

gets: :

  • So

So that that f=0.5 f=0.5

  • Which

Which gives gives the final the final profile profile using using again again mass mass conservation conservation: :

2

( ) ( )

i i ta m i m m

x dx x x x dx

  • =
  • 1

2

m

x x =

2 2

( ) ( )

i i i

x x dx x x dx

  • =
  • Eq. 4
  • Eq. 5
  • Eq. 6
slide-37
SLIDE 37
  • However

However, after , after reaching reaching maximum maximum radius radius, a , a shell shell collapse collapse and and it it will will contribute contribute to to the the inner inner shells shells: Energy : Energy not not conserved conserved and f and f not not constant constant and so and so even even energy energy is is not not an an integral integral of

  • f motion

motion anymore anymore and f and f is is no no longer longer constant constant. .

  • The

The effect effect of the

  • f the infalling

infalling

  • uter
  • uter

shells shells on the

  • n the dynamics

dynamics of a

  • f a given

given shell shell can can be be described described assuming assuming that that the the potential potential near near the center the center varies varies adiabatically adiabatically ( (Gunn Gunn 1977; FG84; ZH93) 1977; FG84; ZH93)

  • Using

Using this this assumption assumption, the total mas inside , the total mas inside apapsis apapsis is is

  • btained
  • btained

summing summing the mass the mass contained contained in in shells shells with with apapsis apapsis smaller smaller than than ( (permanent permanent component component, ) and the , ) and the second second ( (additional additional mass, ) mass, ) is is the the contribution contribution of the

  • f the outer
  • uter

shells shells passing passing momentarily momentarily through through the the shell shell : :

m

x ( ) ( ) ( )

T m p m add m

m x m x m x = +

m

x

p

m

add

m

m

x ( ) ( ) ( )

m

R add m rm x

dm x m x P x dx dx =

Where the additional component is given by: *

  • Eq. 7
  • Eq. 8

m(x) given by Eq. 4

slide-38
SLIDE 38
  • (

(probability probability to to find find the the shell shell with with apapsis apapsis x inside x inside radius radius ) ) is is calculated calculated as as the ratio of the time the the ratio of the time the outer

  • uter

shell shell ( (with with apapsis apapsis x) x) spends spends inside inside radius radius to to its its period period: :

( )

xm

P x ( ) ( ) ( )

m p p

x x x xm x x x

d v P x d v

  • =
  • m

x

m

x

Where xp is the pericenter of the shell with apapsis x and

( )

x

v

is the radial Velocity of the shell with apapsis x as it passes from the radius The radial velocity is obtained by integrating the equation of motion of the shell: (specific coefficient of dynamical friction) h (specific angular momentum) G (acceleration)

2 * 3

( , ) ( ) 3

r

dv h r dr G r r dt r dt

  • µ
  • =
  • +

*

µ

*

  • Eq. 9
  • Eq. 10
slide-39
SLIDE 39
  • The

The collapse collapse factor factor, f, of a , f, of a shell shell with with initial initial radius radius and and apapsis apapsis x xm

m

is is given given by by ( (Gunn Gunn 1977; FG84; ZH93): 1977; FG84; ZH93):

  • and the final density

and the final density profile profile is is: :

  • The

The problem problem of

  • f determining

determining the density the density profile profile is is then then solved solved fixing the fixing the initial initial conditions conditions ( ), the ( ), the angular angular momentum momentum h(r), and the h(r), and the coefficient coefficient of

  • f dynamical

dynamical friction friction. .

i

x ( ) ( ) ( ) ( )

p m i p m add m

m r f x m r m r = +

1 3

( ) ln ( ) ( ) 1 ( ) ln ( )

ta m i i i

x d f x x f x d g x

  • =

+

  • i
  • Starting from a given shell, one integrates the equation of motion, calculates

the velocity and then the probability that the particle (shell) inside radius r, then one calculates the mass added, , and the collapse factor f. Eq. 12 will give the final density profile.

( )

m

x

P r

add

m

  • Eq. 12

*

  • Eq. 11
slide-40
SLIDE 40

NUMERICAL ISSUES: NUMERICAL ISSUES:

Overmerging Overmerging, , two two body body relaxation relaxation, , softening softening length length; ; multi-mass multi-mass simulations simulations

  • In

In cosmological cosmological simulations simulations of the dark

  • f the dark matter

matter each each particle particle represents represents a a coarse coarse grained grained sampling sampling of

  • f phase

phase space space which which sets sets a mass and a mass and spatial spatial resolution resolution. .

  • Unfortunately

Unfortunately these these super-massive super-massive particles particles will will undergo undergo two two body body encounters encounters that that lead lead to to energy energy transfer transfer as as the system the system tends tends towards towards equipartition

  • equipartition. In the

. In the real real Universe Universe the dark the dark matter matter particles particles are are essentially essentially collisionless collisionless and pass and pass unperturbed unperturbed past past each each

  • ther
  • ther.

.

  • The

The artificial artificial smoothing smoothing of the density

  • f the density distribution

distribution in in these these regions regions ( (disruption disruption of dark

  • f dark matter

matter halos halos within within dense dense environments environments) ) is is referred referred to to as as `overmerging `overmerging‘ ‘ ( (for for a a review review of the

  • f the

problem problem see see Moore Moore 2000). 2000).

  • A

A modification modification of the 1/r^2

  • f the 1/r^2 law

law through a through a softening softening length length diminishes diminishes two two body scattering body scattering and and relaxation relaxation and and allows allows larger larger time time steps steps. .

  • Simulation

Simulation results results are are least least reliable reliable in the in the densest densest parts parts of the

  • f the halo

halo, , where where the the dynamical dynamical timescale timescale is is shortest shortest and and artificial artificial heating heating has has the the greatest greatest effect

  • effect. In

. In early early simulations simulations of the

  • f the

formation formation of

  • f galaxy

galaxy clusters clusters, , overmerging

  • vermerging

erased erased substructure substructure completely completely (e.g. White 1976). (e.g. White 1976). When When simulations simulations reached reached sufficient sufficient resolution resolution to to resolve resolve roughly roughly as as many many subsystems subsystems as as there there are are galaxies galaxies in a cluster, the in a cluster, the problem problem was was considered considered `solved' (e.g. Ghigna `solved' (e.g. Ghigna et et al. al. 2000), 2000), although although the scale the scale invariance invariance of

  • f halo

halo properties properties quickly quickly lead lead to to an an excess excess dwarf dwarf satellite satellite problem problem in in galaxy galaxy haloes haloes. .

  • The

The assumption assumption that that the the overmerging

  • vermerging

problem problem is is now now solved solved has has not not been been fully fully tested tested (Taylor (Taylor et et al. 2003).

  • al. 2003).

The The effects effects of

  • f particle

particle discreteness discreteness in in N-body N-body simulations simulations of

  • f Λ

Λ CDM are CDM are still still an an intensively intensively debated debated issue issue (Romeo (Romeo et et al.

  • al. 2008).

2008).

  • The

The processes processes of

  • f relaxation

relaxation is is difficult difficult to to quantify quantify, , but but in the in the large large N N limit limit the the discreteness discreteness effects effects inherent inherent to to the the N-body N-body technique technique vanish vanish, so one , so one tries tries to to use use as as large large a a number number of

  • f particles

particles as as computationally computationally possible possible. . Increasing N helps, but slowly ( N Increasing N helps, but slowly ( N -0.25

  • 0.25)

)

*

slide-41
SLIDE 41
  • low mass/force resolutions

low mass/force resolutions ⇒ ⇒ shallower potential than real shallower potential than real ⇒ ⇒ artificial disruption/ artificial disruption/overmerging

  • vermerging

(especially serious for small (especially serious for small systems) systems)

Moore (2001)

central central 500kpc 500kpc region of a region of a simulated simulated halo in halo in SCDM SCDM ε = 1kpc ε = 7.5kpc

*

slide-42
SLIDE 42

Relaxation Time Relaxation Time

  • Def: Time when

Def: Time when rms rms of energy changes due to

  • f energy changes due to

encounters becomes equal to mean energy. encounters becomes equal to mean energy.

  • Fokker-Planck estimate:

Fokker-Planck estimate:

  • Globular clusters: T

Globular clusters: T ≃ ≃ 100 100 Myr Myr to 10 to 10 Gyr Gyr

  • Stars in a galaxy: T

Stars in a galaxy: T ≃ ≃ 10 1015

15 yr

yr

  • CDM in a galaxy halo: T

CDM in a galaxy halo: T ≃ ≃ 10 1065

65 yr

yr

slide-43
SLIDE 43

Two Body Relaxation Two Body Relaxation

N =10 000 Equilibrium Hernquist Model with massless tracers (green) in a plane

slide-44
SLIDE 44

Two body relaxation Two body relaxation

  • DM in N-body simulation: T = one Hubble time in a

DM in N-body simulation: T = one Hubble time in a halo with N = 5'000, and halo with N = 5'000, and

  • T(r

T(r) = one Hubble time, for r = 0.01 ) = one Hubble time, for r = 0.01 rvir rvir in a in a system with N = 1 million. (Power et al. 2003) system with N = 1 million. (Power et al. 2003)

  • "Resolved radius" ~ N

"Resolved radius" ~ N-0.5

  • 0.5
slide-45
SLIDE 45

Two body relaxation Two body relaxation

  • DM in N-body simulation: T = one Hubble time in a

DM in N-body simulation: T = one Hubble time in a halo with N = 5'000, and halo with N = 5'000, and

  • T(r

T(r) = one Hubble time, for r = 0.01 ) = one Hubble time, for r = 0.01 rvir rvir in a in a system with N = 1 million. (Power et al. 2003) system with N = 1 million. (Power et al. 2003)

  • "Resolved radius" ~ N

"Resolved radius" ~ N-0.5

  • 0.5
  • BUT:

N is always small in the first CDM objects, also at high resolution! (Moore 2001, Binney & Knebe, 2002)

slide-46
SLIDE 46

cluster with 650'000 particles log density log "relaxation"

Relaxation in cosmological runs Relaxation in cosmological runs

cluster with 650'000 particles

slide-47
SLIDE 47

Effect on final object? Effect on final object?

N=4'000 Hernquist halo, after 1 and 3 mean relaxation times:

merging... final profile also shallower

slide-48
SLIDE 48

Relaxation in cosmological simulations Relaxation in cosmological simulations

  • Relaxation is present in CDM simulations

Relaxation is present in CDM simulations

  • Increasing N helps, but slowly ( N

Increasing N helps, but slowly ( N -0.25

  • 0.25)

)

  • Convergence by using more particles

Convergence by using more particles

slide-49
SLIDE 49

Convergence tests in CDM clusters Convergence tests in CDM clusters

  • Numerical flattening due to two body

Numerical flattening due to two body relaxation: relaxation: slow convergence, slow convergence, 1 million to resolve 1% of 1 million to resolve 1% of Rvirial Rvirial, , 1000 to resolve 10% ! 1000 to resolve 10% ! (Moore et al. 1998; (Moore et al. 1998; Diemand Diemand et al. 2004) et al. 2004)

  • To have such a high number of particles

To have such a high number of particles per halo the use of a special technique is per halo the use of a special technique is

  • required. This technique consists of
  • required. This technique consists of

simulating with high mass resolution only simulating with high mass resolution only the particles that will end up in the halo of the particles that will end up in the halo of interest at interest at z z = 0, while having less mass = 0, while having less mass resolution for the particles that end up far resolution for the particles that end up far away from the halo of interest. This has away from the halo of interest. This has the drawback that each simulation can the drawback that each simulation can resolve only one halo at a time, therefore resolve only one halo at a time, therefore selection effect biases and a poor selection effect biases and a poor statistical sample could affect the reliability statistical sample could affect the reliability

  • f the final result even if the simulation is
  • f the final result even if the simulation is

very accurate and has high resolution very accurate and has high resolution

14 million 6 million 1.7 million 0.2 million

3 / 1

  • N

r *

slide-50
SLIDE 50
  • Refinement:

Refinement: Resimulating Resimulating halos with better halos with better mass resolution mass resolution

300 Mpc 3 Mpc

slide-51
SLIDE 51

Highest resolution numerical simulations of the structure of dark matter halos 105 steps 108 particles High mass and force resolution

slide-52
SLIDE 52

Lokas 2000; scale free spectrum

  • Improvement
  • f HS model.
  • Radial collapse

NFW1: values of of c_vir calculated from a model based

  • n merging

formalism provided by NFW that describes better their N-body Simulations. NFW2: c is obtained from NFW fitting formula *

slide-53
SLIDE 53
  • Ascasibar

Ascasibar et et al. 2003 (

  • al. 2003 (radial

radial density density profile profile from from a 3 sigma a 3 sigma fluctuation fluctuation on 1

  • n 1 h^

h^(-1) (-1) Mpc Mpc scale). scale).

  • Angular

Angular momentum momentum introduced introduced as as the the eccentricity eccentricity parameter parameter

  • Changing

Changing the the orbit

  • rbit

eccentricity eccentricity e e ( (proportional proportional to to L) L) produces produces a a flattening flattening of the

  • f the inner

inner profile profile. . Radial Radial

  • rbits
  • rbits

gives gives rise rise to to a a steep steep profile profile similar similar to to that that proposed proposed by by Moore Moore et et al. (1999)

  • al. (1999)
  • Numerical

Numerical experiments experiments, in the , in the same same paper paper shows shows that that central central slopes slopes in in relaxed relaxed haloes haloes could could be be less less steep steep than than the NFW the NFW fit fit in in agreement agreement with with analytical analytical models models based based on the

  • n the velocity

velocity dispersion dispersion profile profile (Taylor & (Taylor & Navarro 2003; Navarro 2003;

Hoeft

Hoeft et et al. 2003)

  • al. 2003)

*

slide-54
SLIDE 54

(Case A: ; (Case A: ; Case B: ) Case B: )

12

9.8 10 M

  • 12

4.3 10 M

  • Hiotelis 2002
  • Improvement of Gunn 1977; ZH93
  • Angular momentum introduced

at turn-around as: where L is obtained by the spin parameter

slide-55
SLIDE 55

Williams et al. (2004)

  • Follows Ryden & Gunn (1987): only

random angular momentum is taken into account

  • More massive galaxy halos

tend to be more centrally concentrated, and have flatter rotation curves

  • Specific angular momentum

(only random L) in Williams haloes is less centrally concentrated and larger than in N-body simulations (e.g. van den Bosch et al. 2002).

  • In order to reproduce a NFW profile one

has to reduce random velocities by a factor of two. As suggested by Williams haloes in N-body simulations lose angular momentum between 0.1 and 1 R_vir. It is well known that numerical haloes have too little angular momentum vs. real disk galaxies (L catastrophe)

*

slide-56
SLIDE 56

*

slide-57
SLIDE 57
slide-58
SLIDE 58
  • El-Zant et al. 2003.
  • Transfer of energy from

baryons to DM by DF.

  • Initial and final DM rotation

curve and profile. Dashed line is a fit using Burkert profile.

  • Bottom left: DM profile in

absence of energy feedback.

slide-59
SLIDE 59

How How does does SIM work? SIM work?

  • In

In order

  • rder

to to describe describe the the evolution evolution of a density

  • f a density perturbation

perturbation in the in the nonlinear nonlinear phase phase we we may may use use some some analytical analytical models models ( (e.g e.g., ., spherical spherical or

  • r ellipsoidal

ellipsoidal, , collapse collapse) )

  • A

A slightly slightly

  • verdense
  • verdense

sphere sphere, , embedded embedded in the in the Universe Universe, , is is a a useful useful non-linear non-linear model, model, as as it it behaves behaves exactly exactly as as a a closed closed sub-universe sub-universe. .

  • The

The overdensity

  • verdensity

expands expands with with Hubble Hubble flow flow till till a a maximum maximum radius radius ( (turn-around turn-around). ). (r= (r=rmax rmax, , dr/dt dr/dt=0) occurs at =0) occurs at δ δlin lin ~1.06 ~1.06

  • Then

Then it it collapses collapses to to a a singularity singularity. . (r=0): (r=0): δ δlin lin ~ 1.69 ~ 1.69

  • Collapse

Collapse to to a a point point will will never never

  • ccurr
  • ccurr in

in practice practice; ; dissipative dissipative physics physics and and the process of violent relaxation will will eventually eventually intervene and intervene and convert convert the the kinetic kinetic energy energy of

  • f

collapse collapse into into random random motions motions. . This This is is named named: : virialization virialization ( (occurs at 2tmax, and

  • ccurs at 2tmax, and rvir

rvir = rmax/2) = rmax/2)

  • Once a

Once a non-linear non-linear

  • bject
  • bject

has has formed formed, , it it will will

  • ntinue
  • ntinue

to to attract attract matter matter in in its its neighbourhood neighbourhood ant ant its its mass mass will will grow grow by by accretion accretion of new material (

  • f new material (secondary

secondary infall infall). ).

  • Through dissipative processes, baryons lose energy and fall deeper in the potential

well of DM.

  • If the cooling time of the baryon gas is smaller than the collapse time, fragmentation

will take place and smaller units can collapse

  • A

A good good deal of deal of insight insight into into this this process process can can be be gained gained by by considering considering the the spherical spherical symmetric symmetric case ( case (Gunn Gunn & & Gott Gott) ) with with further further important important extensions extensions ( (Bertschinger Bertschinger 1985). 1985).

*-

slide-60
SLIDE 60

The The ‘ ‘top-hat model top-hat model’ ’ (spherical collapse) (spherical collapse)

  • uniform, spherical perturbation

uniform, spherical perturbation

δ δi

i =

= ρ ρ(t (ti

i)/

)/ρ ρb

b(t

(ti

i)-1

)-1 M = M = ρ ρb

b(4

(4π πr ri

i 3 3/3)(1+

/3)(1+ δ δi

i)

)

For simplicity, we are neglecting radiation and Lambda, since structure formation (probably) kicks in mainly after epoch of radiation and matter equality and before Lambda comes into play

*

slide-61
SLIDE 61
  • How

How can can we we use use the the collapse collapse model model to to calculate calculate the density the density profile profile of

  • f haloes

haloes? ?

  • If

If a a perturbation perturbation has has initial initial

  • verdensity
  • verdensity , one can

, one can write write the the equations equations of

  • f motion

motion of a

  • f a given

given shell shell and integrate and integrate it. it. One can One can obtain

  • btain the

the turn-around turn-around radius radius which which is is related related to to the the primordial primordial

  • verdensity
  • verdensity (

(Peebles Peebles 1980). 1980).

  • Using

Using mass mass conservation conservation, one can , one can obtain

  • btain the density

the density profile profile at at turn-around turn-around. . Using Using Virial Virial theorem theorem one

  • ne obtains
  • btains a

a relation relation between between final final radius radius and and turn-around turn-around radius radius which which can can be be used used to to calculate calculate the final density the final density profile

  • profile. One

. One

  • btains
  • btains HS

HS profile profile

  • However

However, , as as successive successive shells shells turn turn around around and and collapse collapse, , the mass interior the mass interior to to a a given given shell shell changes changes in time and so in time and so energy energy is is not not an an integral integral of

  • f motion

motion anymore

  • anymore. One

. One has has to to take account the take account the effect effect of the

  • f the infalling

infalling of

  • f outer
  • uter

shells shells on

  • n

the the dynamics dynamics of a

  • f a given

given shell shell. .

i

  • *--

2 2

( )

i i

r dr r r dr

  • 3(3

) (4 ) n n

r

+

  • +
slide-62
SLIDE 62
  • Other

Other limits of HS model and limits of HS model and several several

  • ther
  • ther

implementation implementation of SIM

  • f SIM

1. 1.

is is not not good good for for regions regions internal internal to to virial virial radius radius ( (Peebles Peebles 1974; 1974; Peebles Peebles & & Groth Groth 1976; Davis & 1976; Davis & Peebles Peebles 1977; 1977; Bonometto Bonometto & & Lucchin Lucchin 1978; 1978; Peebles Peebles 1980; 1980; Fry Fry 1984; DP2000). 1984; DP2000). This This imply imply that that the power the power law law behaviour behaviour of density

  • f density profiles

profiles at at all all scales scales is is not not a a prediction prediction of SIM.

  • f SIM.
  • 2. The
  • 2. The mean

mean peak peak profile profile depends depends on a

  • n a linear

linear combination combination involving involving the the initial initial correlation correlation function function and and its its laplacian laplacian (BBKS). (BBKS).

  • 3. HS model (
  • 3. HS model (similarly

similarly to to many many of

  • f implementation

implementation of SIM)

  • f SIM)

does does not not take account of: a) take account of: a) non-radial non-radial motions motions; b) ; b) dynamical dynamical friction friction; c) ; c) baryonic baryonic dissipative dissipative infall infall; d) etc ; d) etc. .

  • The

The quoted quoted limitations limitations can can be be eliminated eliminated as as follows follows

(3 ) n i

r

  • +
  • *--
slide-63
SLIDE 63
  • A

A bound bound mass mass shell shell having having initial initial comoving comoving radius radius will will expand expand to to a a maximum maximum radius radius ( (apapsis apapsis) of a ) of a shell shell: :

i

x

m

x

1

1 ( ) ( 1)

i m i i i i

x g x x

  • +

= =

  • where the mean fractional density excess inside the shell,

as measured at current epoch to, assuming linear growth is:

  • 2

3

3 ( )

i

x i i

y y dy x

  • =
  • Final radius, x, scales with the turn around radius, ,

as:

m

x ( )

i m

x f x x =

The Model: SIM +L+DF+BDC

*

  • Eq. 1
  • Eq. 2
  • Eq. 3
slide-64
SLIDE 64
  • If

If mass mass is is conserved conserved and and each each shell shell is is kept kept at at its its turn- turn- around around radius radius, ,then then the the shape shape of the density

  • f the density profile

profile is is given given by by ( (Peebles Peebles 1980; HS; White & 1980; HS; White & Zaritsky Zaritsky 1992): 1992):

  • Using

Using Virial Virial theorem theorem one

  • ne gets

gets: :

  • So

So that that f=0.5 f=0.5

  • Which

Which gives gives the final the final profile profile using using again again mass mass conservation conservation: :

2

( ) ( )

i i ta m i m m

x dx x x x dx

  • =
  • 1

2

m

x x =

2 2

( ) ( )

i i i

x x dx x x dx

  • =

*

  • Eq. 4
  • Eq. 5
  • Eq. 6
slide-65
SLIDE 65
  • However

However, after , after reaching reaching maximum maximum radius radius, a , a shell shell collapse collapse and and it it will will contribute contribute to to the the inner inner shells shells: Energy : Energy not not conserved conserved and f and f not not constant constant and so and so even even energy energy is is not not an an integral integral of

  • f motion

motion anymore anymore and f and f is is no no longer longer constant constant. .

  • The

The effect effect of the

  • f the infalling

infalling

  • uter
  • uter

shells shells on the

  • n the dynamics

dynamics of a

  • f a given

given shell shell can can be be described described assuming assuming that that the the potential potential near near the center the center varies varies adiabatically adiabatically ( (Gunn Gunn 1977; FG84; ZH93) 1977; FG84; ZH93)

  • Using

Using this this assumption assumption, the total mas inside , the total mas inside apapsis apapsis is is

  • btained
  • btained

summing summing the mass the mass contained contained in in shells shells with with apapsis apapsis smaller smaller than than ( (permanent permanent component component, ) and the , ) and the second second ( (additional additional mass, ) mass, ) is is the the contribution contribution of the

  • f the outer
  • uter

shells shells passing passing momentarily momentarily through through the the shell shell : :

m

x ( ) ( ) ( )

T m p m add m

m x m x m x = +

m

x

p

m

add

m

m

x ( ) ( ) ( )

m

R add m rm x

dm x m x P x dx dx =

Where the additional component is given by: *

  • Eq. 7
  • Eq. 8

m(x) given by Eq. 4

slide-66
SLIDE 66
  • (

(probability probability to to find find the the shell shell with with apapsis apapsis x inside x inside radius radius ) ) is is calculated calculated as as the ratio of the time the the ratio of the time the outer

  • uter

shell shell ( (with with apapsis apapsis x) x) spends spends inside inside radius radius to to its its period period: :

( )

xm

P x ( ) ( ) ( )

m p p

x x x xm x x x

d v P x d v

  • =
  • m

x

m

x

Where xp is the pericenter of the shell with apapsis x and

( )

x

v

is the radial Velocity of the shell with apapsis x as it passes from the radius The radial velocity is obtained by integrating the equation of motion of the shell: (specific coefficient of dynamical friction) h (specific angular momentum) G (acceleration)

2 * 3

( , ) ( ) 3

r

dv h r dr G r r dt r dt

  • µ
  • =
  • +

*

µ

*

  • Eq. 9
  • Eq. 10
slide-67
SLIDE 67
  • The

The collapse collapse factor factor, f, of a , f, of a shell shell with with initial initial radius radius and and apapsis apapsis x_m x_m is is given given by by ( (Gunn Gunn 1977; FG84; ZH93): 1977; FG84; ZH93):

  • and the final density

and the final density profile profile is is: :

  • The

The problem problem of

  • f determining

determining the density the density profile profile is is then then solved solved fixing the fixing the initial initial conditions conditions ( ), the ( ), the angular angular momentum momentum h(r), and the h(r), and the coefficient coefficient of

  • f dynamical

dynamical friction friction. .

i

x ( ) ( ) ( ) ( )

p m i p m add m

m r f x m r m r = +

1 3

( ) ln ( ) ( ) 1 ( ) ln ( )

ta m i i i

x d f x x f x d g x

  • =

+

  • i
  • Starting from a given shell, one integrates the equation of motion, calculates

the velocity and then the probability that the particle (shell) inside radius r, then one calculates the mass added, , and the collapse factor f. Eq. 12 will give the final density profile.

( )

m

x

P r

add

m

  • Eq. 12

*

  • Eq. 11
slide-68
SLIDE 68

Initial Initial conditions conditions

Initial Initial

  • verdensity
  • verdensity:

: Radial Radial density density profile profile of a

  • f a fluctuation

fluctuation centered centered on a

  • n a

primordial primordial peak of peak of arbirary arbirary height height nu nu: : Correlation Correlation function function Spectrum Spectrum: :

2 2

1 2

( )

k l CDM

P k P e

  • =

2( ) CDM

P AkT k = *

slide-69
SLIDE 69

Angular Angular momentum momentum

  • We consider a spherical region embedded in the rest of the universe. The

Gravitatinal force on the central region isgiven by (Ryden 1988; Eisenstein & Loeb 1995): The tidal moments are While the density profile of each protostructure is approximated by the Superposition of a spherical density profile and a random CDM distribution

( ) r

  • ( )

r

  • The torque on a thin spherical shell is:

The tidal torque is Whose integral gives the acquired angular momentum:

*

slide-70
SLIDE 70

Dynamical Dynamical friction friction

  • In a hierarchical structure formation model, the large scale cosmic environment

can be represented as a collisionless medium made of a hierarchy of density

  • fluctuations. In these models matter is concentrated in lumps, and the lumps into

groups and so on.

  • Gravitational field can be decomposed into an average field, F0(r), generated

from the smoothed out distribution of mass, and a stochastic component, Fstoch(r), generated from the fluctuations in number of the field particles.

  • The stochastic component is specified assigning a probability density, W(F),

(Holtsmark 1919; Chandrasekhar & von Neumann 1942).

  • In the hypothesis that there are no correlations among random force and their

derivatives (Kandrup 1980):

  • In a homogeneous distribution:
  • Using the Virial theorem:
  • We have:

*

slide-71
SLIDE 71

Baryonic Baryonic dissipation dissipation and and adiabatic adiabatic compression compression of the

  • f the halo

halo

  • The baryonic fraction of the halo dissipates its energy, but conserves h
  • Since the baryon fraction F is much less than one, their infalling mass interior to a given

dark matter orbit changes slowly compared to the orbital period.

  • Adiabatic invariant (r M(r) for circular orbits; rmax M(rmax) for radial orbits) are conserved

(Blummenthal et al. 1986; Ryden & Gun 1987)

  • In the zeroth-order approximation, , and
  • While the dark matter distribution is held constant, the baryons fall inward, preserving h

till they are on circular orbits

  • Then, baryons at radius r will end up at radius:
  • The central concentration of baryons will draw dark matter inward, ending in a more

compact distribution , and the new potential is

  • Fixing the angular momentum for each mass shell, one adjust the value of the

apocenter untill the orbits of DM in have the same value of which they had in the predissipation contribution.

  • The mass distribution of DM is built up in this manner, orbit by orbit, ensuring

that and are conserved.

  • The process of baryonic infall and DM compression is then iterated. The baryons fall to the

radius:

  • The new potential is calculated, and dark matter orbits are adjusted to preserve ,

and

  • Iterations till convergence

*

0( ) B

M FM r = (1 ) ( )

D

M F M r =

  • 1( )

B

M r j

1( )

r

  • r

j

1 D

M

r

j j

2( )

r

  • r

j j

slide-72
SLIDE 72

Observational Observational controversy controversy: : LSB rotation curves LSB rotation curves

  • Flores &

Flores & Primack Primack 1994 1994: pointed out that at small radii, : pointed out that at small radii, the halos are not going to be singular (the density the halos are not going to be singular (the density would not increase monotonically with radius): from would not increase monotonically with radius): from analysis of the flat rotation curves of the low surface analysis of the flat rotation curves of the low surface brightness (LSB) galaxies. brightness (LSB) galaxies.

  • LSBs

LSBs are used because there is not much baryonic are used because there is not much baryonic matter inside LSB systems, therefore, there is not matter inside LSB systems, therefore, there is not much baryonic much baryonic infall infall that could have modified the dark that could have modified the dark matter halo profile. matter halo profile.

  • Other studies

Other studies (Moore 1994; (Moore 1994; Burkert Burkert 1995; 1995; Kravtsov Kravtsov et et

  • al. 1998;
  • al. 1998; Borriello

Borriello & & Salucci Salucci 2001; de Blok et al. 2001; 2001; de Blok et al. 2001; de Blok & de Blok & Bosma Bosma 2003, etc.) indicates that the shape 2003, etc.) indicates that the shape

  • f the density profile is shallower than what is found in
  • f the density profile is shallower than what is found in

numerical simulations ( numerical simulations (

= 0.2 ± 0.2 (de Blok,

= 0.2 ± 0.2 (de Blok, Bosma Bosma, & , & McGaugh McGaugh 2003)) 2003))

  • *
slide-73
SLIDE 73

1 10 100

Fukushige & Makino (1997)

r[kpc]

Moore et al. (1998)

  • inner slope in higher-

inner slope in higher- resolution simulations is resolution simulations is steeper (~ steeper (~ – –1.5) than 1.5) than the NFW value ( the NFW value (– –1.0) 1.0)

Moore et al. (1998)

force resolution mass resolution

*-

slide-74
SLIDE 74

New Models New Models

  • Navarro 200

Navarro 2004 4 proposed a proposed a new analytic form: new analytic form: Where r Where r-2

  • 2 is defined as the

is defined as the radius at which: radius at which:

ln( /2) = (2/)[(r /r

2) 1]

= dlog /dlogr = 2

Shown below: Logarithmic slope of the density

  • profile. Strong dashed line is the newly suggested

model, fitting (from left to right) dwarf, galaxy- sized, cluster-sized halos. Dot-dashed line:NFW. Dotted lines: M99. *-

  • Four orders of magnitude in dynamics

(a few 106p) Navarro et al 2004

  • The profile slope is now varying with

radius to 0.5% of r200

  • The new fit reproduces the density

profile to better than 10% over the reliably resolved radial range

  • Profile becomes shallower, No asymptote
  • Ricotti (2003) Low mass galaxies could

have no cusps….