MassiveBlack Rupert Croft Tiziana Di Matteo Yu Feng Nishikanta - - PowerPoint PPT Presentation

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MassiveBlack Rupert Croft Tiziana Di Matteo Yu Feng Nishikanta Khandai Colin Degraf Evan Tucker Nicholas Battaglia + Volker Springel Public data store and simulation browser: http://mbii.phys.cmu.edu where do supermassive black holes


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MassiveBlack Rupert Croft Tiziana Di Matteo Yu Feng Nishikanta Khandai Colin Degraf Evan Tucker Nicholas Battaglia + Volker Springel

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Public data store and simulation browser: http://mbii.phys.cmu.edu

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where do supermassive black holes form?

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problems with usual zoom approach

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MassiveBlack Simulation, Uniform ~ 1 Gpc3 Volume Di Matteo et al (2012) kpc resolution

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Large-scale environment can cause black hole mass to vary by factor 1000 for 1012 solar mass halos

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AGN luminosity vs halo mass

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For statistics we need large volumes. We can see what large scale physics does: e.g. gas supply

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MassiveBlack simulations: PetaGadget code SPH, cooling, star formation, black holes.

MBII

MBIII

h-1Mpc zfinal Nparticle Mres/msun 533 4.75 64 billion 5x107 100 0 11.5 billion 2x106 400 ? 0.7 trillion 2x106

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What we can resolve with 100 particles:

Simulation particle mass vs year

Superclusters of galaxies Clusters of galaxies Milky way-sized galaxies Dwarf galaxies

MBII, III

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Hopkins 2013 Gnedin et al. 2009 Battaglia et al. 2014 Springel & Hernquist 2002 Springel & Hernquist 2003 Haardt & Madau 1996 Density-entropy SPH Pressure-entropy SPH Multiphase star formation Molecular hydrogen Uniform UVBG Patchy reionization

MBIII

MBII

Physics algorithms

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MBIII

running, reached z=16 (30 million particles in galaxies so far) density entropy

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Springel & Hernquist 2002 Springel & Hernquist 2003 Haardt & Madau 1996 Density-entropy SPH Multiphase star formation Uniform UVBG

MBII

“old SPH”

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Some black holes grow to 109 Msun by z~6-7

Eddington rates sustained long enough before AGN feedback able to act

Di Matteo et al . 2012

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Now we know where black holes form, we can test resolutions, models, parameters using zoom from hydro (first)…

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Feng et al. 2014

3 halos, 4 different resolutions: final black hole mass insensitive to resolution

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Feng et al. 2014

3 halos, 2 feedback depositions: (constant volume or constant mass)

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Lower mass seed grows later grows faster

Final BH mass does not depend on BH seed mass Mseed/ Msun= 103 104 105

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Feng et al. 2014

but: bigger MBH

Zoom simulations varying Hydro Formulation (Sph/P-Sph) : Black hole growth (and SF) histories remain mostly unchanged

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AMR (RAMSES) ZOOM vs

SPH (P-GADGET) ZOOM Dubois et al

RAMSES predicts similar black hole growth

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High redshift conclusion: large scale gas inflows govern black hole growth before onset of feedback black hole subgrid modelling not important comparison to obs...

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Quasar luminosity function

McGreer et al. 2013

Sloan - Stripe 82 ‘faint’ z=5 quasars

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MB and MBII predict a high-z Galaxy Stellar Mass Function consistent with observations

Wilkins et al 2013

z=5 z=6 z=7

Stellar Mass LUV M/L

Mass to light Ratio vs UV luminosity

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at lower z: gas supply limited feedback limited

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In context of stellar feedback, Hopkins et al. 2013 show in cosmological simulations that feedback governs star formation. We expect black hole accretion (scaling between accretion rate and local gas properties) to be governed by feedback too (and not black hole model). Let’s look at lower redshift galaxies in MBII…

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Illustris simulation (AREPO) –Springel, Vogelsberger et al. but our MBII sim is based

  • n SPH from 2002
  • how bad is it?

But first, we note that there is the famous

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20 kpc “old SPH” galaxies

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20 kpc

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20 kpc

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M* - Mhalo relation in MBII simulation is consistent with observations.

Tucker et al. in prep

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Black-hole mass vs σ

Log(Stellar velocity dispersion_[km/s],

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Log(stellar mass) [Msun]

Black-hole mass vs galaxy stellar mass:

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AGN luminosity function at different redshifts

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Present day galaxy stellar mass function compared to observations

No AGN feedback

AGN feedback helps reconciling high mass end (factor 10)

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High mass end is very sensitive to how AGN are excised in observations

Mass of stars in each galaxy Log Number density of galaxies

No AGN feedback

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But watch out: how stellar masses are measured in simulation affects GSMF:

  • grav. bound

stellar mass centrals

  • nly

centrals, M*<2r1/2

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Vogelsberger et al. 2014 centrals

  • nly

centrals, M*<2r1/2 grav. bound mass?

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put MB curves on top:

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Summary At high z, large-scale flows can grow black holes as observed, within standard cosmology. At lower z, even “old” SPH galaxies & AGN look broadly OK (but GSMF too steep for M*<109 Msun) Selection and measurement of L* for galaxies in simulations (and observations) can easily change mass function by as much as AGN feedback