Massive Galaxies in Massive Datasets

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Massive galaxies in massive datasets

M. Bernardi, J. Hyde and E. Tundo

University of Pennsylvania

OUTLINE

Importance of Early-Type Galaxies

– Stellar masses & Black Holes

The Hierarchical formation picture

– Down-sizing and Dry mergers

Testing Dry mergers using scaling relations

– Luminosities, Sizes, Velocity dispersions, Colors

Selection bias in the M bh

– L – s relations

Early-types don’t dominate number, but they do dominate stellar mass

Renzini 2006

57%

43%

83%

17%

The most massive galaxies are red and dead

Super Massive Black Holes

Connection with “AGN feedback”!!

Ferrarese & Merritt 2000 Gebhardt et al. 2000

We need to find out when ….

stars were formed the galaxy was assembled

Downsizing

Star formation only in smaller systems at late times

Environmental dependence important, but controversial

( Thomas et al.

2005; but see

Bernardi et al.

2006a; Bundy et al . 2006 )

Old stellar population (OK for everybody!!)

?? When were galaxies assembled ??

Population of massive red galaxies seen even at z~1.5 (K20 Survey, VVDS)

Consistent with passive evolution (e.g. Cimatti et al. 2006,

Bundy et al. 2006, Brown et al. 2006)

OR

Still assembling at low z (e.g. Faber et al. 2006)?

In the hierarchical formation picture …..

the problem is to form stars , and assemble them into a single massive system, in a relatively short time (in this respect, LCDM is friendlier than SCDM)

How to do this?

OUTLINE

Importance of Early-Type Galaxies

– Stellar masses & Black Holes

The Hierarchical formation picture

– Down-sizing and Dry mergers

Testing Dry mergers using scaling relations

– Luminosities, Sizes, Velocity dispersions, Colors

Selection bias in the M bh

– L – s relations

New models match K-band luminosity function at z~0

Bower et al. 2006 (Durham)

Croton et al. 2006 (Munich)

Main change is to include AGN related effects

No AGN feedback

AGN feedback

Massive

Redheads?

Latest generation of semi-analytic models, calibrated to z=0, able to match K-band luminosity function at z~1.5

Main change is to include AGN related effects  BCG

Dry mergers common

Passive evolution

+ Dry mergers

Bower et al. 2006 (Durham)

Bimodality

Models now produce reasonable colormagnitude relations

BCGs bluer?

Croton et al. 2006 (Munich)

Satellite galaxies

(not BCGs)

BCGs

BCGs

Bower et al. 2006 (Durham)

OUTLINE

Importance of Early-Type Galaxies

– Stellar masses & Black Holes

The Hierarchical formation picture

– Down-sizing and Dry mergers

Testing Dry mergers using scaling relations

– Luminosities, Sizes, Velocity dispersions, Colors

Selection bias in the Mbh – L – s relations

Brightest

Cluster

Galaxies

C4 cluster catalog

Uses both position and color info

Miller et al. 2005

Properties of early-type galaxies

Pairwise scaling relations

– Faber-Jackson: Ls

– Kormendy: I e

-R e

– L-R e

– Color - L

Inclusion of third parameter

– The Fundamental Plane: I e

-R e

s

Are they the same for BCGs????

BCGs show deviation from Kormendy relation

Oegerle & Hoessel 1991

BCGs

ETGs

Luminosity-Size relation

Upturn to larger sizes at large luminosities

Oegerle & Hoessel 1991

R ~ L 0.8

R ~ L 0.6

Why?

Dry merging?

● BCGs

● Highs

Bernardi et al. 2007a

L-R relation expected to depend on mass ratio and impact parameter of merging spheroids

(Robertson et al. 2006)

Luminosity-

s

relation

Flattening?

● 2 comp

● deV

Scatter correlates with size: consistent with Virial theorem: s

2 ~ M/R

The Fundamental Plane

Bimodality

Models now produce reasonable colormagnitude relations

BCGs bluer?

Satellite galaxies

(not BCGs)

BCGs

Bower et al. 2006 (Durham)

Color-Magnitude

BCGs

Croton et al. 2006 (Munich)

Bower et al. 2006 (Durham)

SDSS measurements OUR measurements

B03-Etypes

C4-BCGs

PL-BCGs

Models

Color-Magnitude

OUR-SDSS

B03-Etypes

C4-BCGs

PL-BCGs

Hyde & Bernardi 2007

Another class of massive galaxies?

BCGs are most luminous galaxies

What about galaxies with largest s

:

– these host the most massive BHs

– constraints on formation mechanism

(cooling cutoff)

Once again, to select a clean sample must worry about systematics!

Galaxies with the largest velocity dispersion

● Single/Massive

 Double

◊ BCG

Sheth et al. 2003

Bernardi et al. 2006b

Expect 1/300 objects to be a superposition

‘Double’ from spectrum and image

‘Double’ from spectrum, not image

‘Single?’

HST images: with ACS-HRC

SDSS J151741.7-004217.6

1’

3”

SDSS s

= 412 ± 27 km/s

HST

SDSS J204712.0-054336.7

1’

3’

SDSS s

= 404 ± 32 km/s

HST

s

= 369 ± 22 s

= 383 ± 27 s

= 385 ± 34 s

= 385 ± 24 s

= 395 ± 27 s

= 402 ± 35 s

= 404 ± 32 s

= 407 ± 27 s

= 408 ± 39 s

= 413 ± 35

HST: ACS-HRC

28 single 15 multiple

Large s not likely due to projection

Luminosity-Size relation

Compared to

BCGs, large s sample has smaller sizes

Large s from extreme dissipation?

Oegerle & Hoessel 1991

L ~ R 0.8

L ~ R 0.6

● Highs

● BCGs

Bernardi et al. 2006b

OUTLINE

Importance of Early-Type Galaxies

– Stellar masses & Black Holes

The Hierarchical formation picture

– Down-sizing and Dry mergers

Testing Dry mergers using scaling relations

– Luminosities, Sizes, Velocity dispersions, Colors

Selection bias in the M bh

– L – s relations

Selection bias in the M bh

- L s

!

Discrepancy between M bh function from L and s

From L

From s

Tundo et al. 2007

What is the cause for this discrepancy?

Selection bias in the s

-L relation!!

Bernardi et al. 2007b

Conclusions

Hierarchical models getting closer to observations … but not there yet

BCGs should be good testing ground

BCGs appear to be consistent with dry merger formation

Large s objects consistent with more dissipation

Selection bias in the M bh

– L s

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