A Comprehensive Assessment of the Too-Big-to-Fail Problem Arthur - - PowerPoint PPT Presentation

a comprehensive assessment of the too big to fail problem
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A Comprehensive Assessment of the Too-Big-to-Fail Problem Arthur - - PowerPoint PPT Presentation

A Comprehensive Assessment of the Too-Big-to-Fail Problem Arthur Fangzhou Jiang Advisor: Frank van den Bosch Yale University Acknowledgments: Peter Behroozi , Mike Boylan-Kolchin, Shea Garrison-Kimmel, Erik Tollerud, Andrew Hearin, Duncan


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SLIDE 1

A Comprehensive Assessment of the Too-Big-to-Fail Problem

Arthur Fangzhou Jiang

Advisor: Frank van den Bosch

Yale University

Acknowledgments:

Peter Behroozi, Mike Boylan-Kolchin, Shea Garrison-Kimmel, Erik

Tollerud, Andrew Hearin, Duncan Cambell

Workshop on Cosmological Structures, ICTP, Trieste

1 Friday, May 22, 15

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SLIDE 2

Outline

What is “Too Big To Fail” (TBTF) ? Semi-analytical model of dark matter subhaloes Severity of TBTF

Professional Seminar, Yale University

2 Friday, May 22, 15

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SLIDE 3

TBTF

LMC: ≈80km/s

SMC: ≈60km/s

Boylan-Kolchin et al. (2012)

Wolf et al. (2010)

Vcirc(r1/2)

Formulation II:

a Vmax gap between

≈60km/s and ≈25km/s

Formulation I:

simulation: order of 10 subhaloes with Vmax>25km/s MW dSphs: Vmax≤25km/s

“massive subhalo” formulation

Workshop on Cosmological Structures, ICTP

3 Friday, May 22, 15

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SLIDE 4

Boylan-Kolchin et al. (2011)

Γ = 1

Γ = 2

Γ = 0

the most massive subhaloes are too dense ( ) to be consistent with MW dSphs ( )

Γmax > 1

Γ < 1

Formulation III:

the radius at which Vcirc(r) reaches Vmax

Rmax:

Γ ≡ 1 + log(0.0014V 2.2

max/Rmax)

subhalo density proxy

Purcell & Zentner (2012)

Workshop on Cosmological Structures, ICTP

4 Friday, May 22, 15

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SLIDE 5

Outline

What is “Too Big To Fail” (TBTF) ? Semi-analytical model of dark matter subhaloes Severity of TBTF

Workshop on Cosmological Structures, ICTP

5 Friday, May 22, 15

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SLIDE 6

mass abundance

unevolved subhalo mass function

˙ m = −A m τdyn ⇣ m M ⌘0.07

mass evolution:

reflects variance in orbital properties & halo concentrations P(A)

: log-normal

Vmax = Vacc × f(m/macc)

Vacc = g(macc, cacc)

Zhao et al. (2009)

stucture evolution:

Penarrubia et al. (2010)

disruption: mdis = macc(< α × rs,acc)

: log-normal

P(α)

¯ α = ¯ α(macc/Macc)

Jiang & van den Bosch (2014b)

For more about subhalo evolution: arXiv:1403.6827

e v

  • l

v e d

Jiang & van den Bosch (2014a)

dN dm (m, z|M0, z0) dm

Parkinson et al. (2008):

Merger Tree (EPS)

Workshop on Cosmological Structures, ICTP

6 Friday, May 22, 15

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SLIDE 7

Model: Accurate Halo-to-Halo Variance

Jiang & van den Bosch, submitted to MNRAS

benchmark:

Bolshoi simulation

model:

2000

441 1986

500

M0 = 1012.1h1M M0 = 1013.5h1M

M0 = 1013.5±0.05h1M

M0 = 1012.10±0.01h1M

Workshop on Cosmological Structures, ICTP

7 Friday, May 22, 15

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SLIDE 8

Outline

What is “Too Big To Fail” (TBTF) ? Semi-analytical model of dark matter subhaloes

Severity of TBTF

Workshop on Cosmological Structures, ICTP

8 Friday, May 22, 15

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SLIDE 9

“Massive Subhalo” Count

Jiang & van den Bosch, submitted to MNRAS

definition:

Vacc > 30kms−1

Vmax > 25kms−1

Wang et al. (2012): lower MW halo mass ==> significantly lower number of MSs

MW has 2 MSs

Contemporary MW halo mass constraint: M0 ∈ [1011.7, 1012.2]h1M

Kafle et al. (2014)

10,000 realizations for each halo mass

2

Workshop on Cosmological Structures, ICTP

9 Friday, May 22, 15

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SLIDE 10

Jiang & van den Bosch, submitted to MNRAS

Vmax (estimates) for MW satellites from

Kallivayalil et al. (2013) Kuhlen et al. (2010)

for MW satellites with no published Vmax, use

Vmax Gap

Vmax = 2.2σLOS,?

Rashkov et al. (2012) MacConnachie (2012)

Workshop on Cosmological Structures, ICTP

Vcirc(r|Rmax, Vmax, α)

Einasto shape parameter, typically 0.18 (Aquarius) Boylan-Kolchin et al. (2012)

10000 realizations

25 55

M0 = 10^11.8 Msun/h

10 Friday, May 22, 15

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SLIDE 11

Jiang & van den Bosch, submitted to MNRAS

NGap ≤ 1

Nu ≥ 2

NGap ≤ 1 & Nu ≥ 2

  • r

Vmax > 55kms−1 Vmax > 60kms−1

  • r

10,000 realizations for each halo mass

MW-consistent fraction as a function of halo mass

probability of having MW-consistent Vmax Gap: always <1%

Workshop on Cosmological Structures, ICTP

Vmax ∈ [25, 55]kms−1 Vmax ∈ [30, 60]kms−1

(number of MC analogs ≥2)

(number of subhaloes in the gap ≤1)

11 Friday, May 22, 15

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SLIDE 12

Subhalo Density

Jiang & van den Bosch, submitted to MNRAS

recap: MW-consistent <==> Γmax < 1 also can be alleviated by lowering MW halo mass cosmology comes in mainly via Rmax sensitive to cosmology change (Ωm, σ8) = (0.318, 0.834) (Ωm, σ8) = (0.266, 0.801)

WMAP7 Planck

Workshop on Cosmological Structures, ICTP

12 Friday, May 22, 15

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SLIDE 13

Summary

If TBTF is the missing massive subhaloes: If TBTF is a Vmax Gap: If TBTF is the massive subhaloes being too dense:

reconcilable by lowering MW halo mass,

MW-consistent fraction ≥10% for M0=11.8 MW-consistent fraction <1% for MW-size haloes (M0=12.0)

not very sensitive to cosmology (WMAP7 versus Planck)

MW-consistent fraction <5% for MW-size haloes (M0=12.0)

reconcilable by lowering MW halo mass,

MW-consistent fraction ≈10% for M0=11.8 (WMAP7)

very sensitive to cosmology: ≈3% for M0=11.8 (Planck)

MW-consistent fraction always <1%, irrespective of MW halo mass or cosmology

Workshop on Cosmological Structures, ICTP

13 Friday, May 22, 15

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SLIDE 14

Why semi-analytical model? Why not simulations ?

Jiang & van den Bosch, submitted to MNRAS

4800 realizations of ELVIS-size haloes

Model: ELVIS:

48 haloes 100 mock ELVIS suites <==> M0 = 1012.08±0.23h1M

Workshop on Cosmological Structures, ICTP

14 Friday, May 22, 15