The emergence of the red-sequence

Gabriella De Lucia, November Gabriella De Lucia, November 1,Tucson1,Tucson

MPAMPA

The emergence of the The emergence of the red-sequencered-sequence

Gabriella De LuciaGabriella De LuciaMax-Planck Institut für AstrophysikMax-Planck Institut für Astrophysik

A Workshop on Massive Galaxies over Cosmic Time II, Tucson, November 1stA Workshop on Massive Galaxies over Cosmic Time II, Tucson, November 1st


MPAMPA

An old result

Visvanathan & Sandage (1977)

De Propris et al. (1998)

5 mag!!!

Coma

The CMR - some factsThe CMR - some facts

Mei et al. 2006


MPAMPA

This model may be too naiveThis model may be too naive a galaxy does not have a single well defined progenitor at a galaxy does not have a single well defined progenitor at each redshift each redshift (De Lucia & Blaizot 2006)

a it neglects the infall of new galaxiesa it neglects the infall of new galaxies

The CMR - the conjectures #1The CMR - the conjectures #1

A monolithic collapse occuring at high redshiftA monolithic collapse occuring at high redshift slope naturally arises taking into account SNe winds slope naturally arises taking into account SNe winds (Arimoto & Yoshii 1987)

a tight CM up to high redshift consistent with a passivea tight CM up to high redshift consistent with a passive evolution evolution (Kodama et al. 1998)

Gladders et al. 1998

obs. data

De Lucia & Blaizot 2006


MPAMPA

The CMR - the conjectures #2The CMR - the conjectures #2

A hierarchical merger modelA hierarchical merger model slope arises because more massive Es form from theslope arises because more massive Es form from the mergers of more massive discs mergers of more massive discs (Kauffmann & Charlot 1998)

a tight CM up to high redshift - the results are robusta tight CM up to high redshift - the results are robustagainst halo-to-halo scatter against halo-to-halo scatter (De Lucia, PhD thesis)

Mean progenitor mass normalised to final mass


MPAMPA

A truncation in the A truncation in the CMR in high CMR in high

redshift clusters?redshift clusters?


MPAMPA

deep optical photometry from VLT (14 nights) deep optical photometry from VLT (14 nights)

Completed – White et al. 2005Completed – White et al. 2005

near-IR photometry from NTT (20 nights)near-IR photometry from NTT (20 nights)

Completed - Aragon-Salamanca et al. in preparationCompleted - Aragon-Salamanca et al. in preparation

multi-object spectroscopy with FORS2 on VLT (25 nights)multi-object spectroscopy with FORS2 on VLT (25 nights)

Completed - Halliday+ 2006; Milvang-Jensen+ in prepCompleted - Halliday+ 2006; Milvang-Jensen+ in prep

80 orbits of HST to image 10 high-z clusters!!!80 orbits of HST to image 10 high-z clusters!!!

Completed - Desai et al. in preparationCompleted - Desai et al. in preparation

WFI R (120m), V, I (60m) WFI R (120m), V, I (60m)

CompletedCompleted

A detailed follow-up of 20 clusters from LCDCS (Gonzalez et al. A detailed follow-up of 20 clusters from LCDCS (Gonzalez et al. 2001)2001)

10 clusters at z 10 clusters at z 0.5 and 10 clusters at z 0.5 and 10 clusters at z 0.8 0.8

The The EEso so DisDistant tant CCluster luster SSurveyurvey


MPAMPA

A wide range of masses and A wide range of masses and structural propertiesstructural properties

White et al. 2005

Some Some EDisCS EDisCS clustersclusters


MPAMPA

Some Some EDisCS EDisCS CMRsCMRs

De Lucia et al. 2006, astro-ph/0610373


MPAMPA

# o

f gala

xie

s z = 0.45 z = 0.57

z = 0.75

# o

f gala

xie

s

MI(obs)

MI(obs)

MV(rest)MV(rest)MV(rest)

The build-up of the CMR #1The build-up of the CMR #1


l/f = 0.48 +/- 0.08l/f = 0.53 +/- 0.09

0.71 +/- 0.10 0.86 +/- 0.13

0.89 +/- 0.14 0.95 +/- 0.14

redshift

nlu

m/

nfa

int


MPAMPA

Kajisawa et al. (2000)

3C 324 z 1.2deficit

De Propris et al.(2003)

V

Composite EDisCS @z=0.75

Coma

I-obs

V-rest

Num

ber

of

gala

xie

s

De Lucia et al. 2004

A controversial resultA controversial result

Kodama et al. 2004

Andreon 2006

MS1054-0321


MPAMPA

redshift

nlu

m/n

fain

t

The build-up of the CMR #2The build-up of the CMR #2


the blue galaxies observed in distant galaxy clusters provide the logical progenitors of faint red galaxies at z=0


MPAMPA

Semi-analytic Semi-analytic modelsmodels


MPAMPA

galaxy galaxy formatioformatio

nn

Cooling (metallicity,structure, conductivity)

Star formation (threshold, efficiency, initial mass function)

Dust (formation, distribution, heating and cooling)

Galaxy interactions (morphological transformations, induced star formation)

Winds (IGM heating, IGM enrichment)

Stellar evolution (spectro-photometric evolution, yields,feedback)

AGN (BH growth, feedback)


MPAMPA

feedback

star formation

recycling

Hot Gas

Cold Gas cooling

Ejected Gas

Stars

re-incorporation

De Lucia, Kauffmann & White, 2004De Lucia, Kauffmann & White, 2004

- AGN heating- AGN heating

Croton et al. 2006Croton et al. 2006

The SAMs - the (simplified) physicsThe SAMs - the (simplified) physics


MPAMPA

The evolution of the CM relation in SAM models

ComaSingle burst zf=3Exp. tau = 1

The build-up of the CMR in SAMsThe build-up of the CMR in SAMsDe Lucia et al. in preparation

U-V

U-VU-V

U-V

U-V

MV MV MV

MV MV


MPAMPA

Very little build-up of the red-sequence!

De Lucia et al. in preparation

The build-up of the CMR in SAMsThe build-up of the CMR in SAMsV

-I V-I

V-I V-I

nlu

m/n

fain

t

MVMI MI

MIMI redshift

l/f = 0.31z = 0.0

l/f = 0.37z = 0.32

l/f = 0.38z = 0.41

l/f = 0.45z = 0.62

l/f = 0.47z = 0.76

U-V


MPAMPA

u - r

Quantitatively the CM bimodality is not well reproduced

oTail of blue bright objects

o Transition region not well populated

o Excess of faint red satellites

The colour-magnitude bimodalityThe colour-magnitude bimodality

u - r

Mr = -

22.75

Mr = -21.25

Mr = -19.75 Mr = -18.25

Baldry et al. 2004

in preparation


MPAMPA

redshift

cluster ellipticals

field ellipticals

Lookback time (Gyr)

Mstar = 1012 Msun

Mstar = 109 Msun

The star formation historyThe star formation history

Most massive elliptical galaxies also the shortest formation timescales



MPAMPA

1010M 1011M 1012M

cluster

field

Lookback time (Gyr)De Lucia et al. 2005

The star formation historyThe star formation history


MPAMPA

50 % stars in a single object

80 %

redshift

Formation and assemblyFormation and assembly

50 % stars formed

80 %

Fract

ion

of

gala

xie

s

redshift De Lucia et al. 2006


MPAMPA

Mstar [M h-1]

Eff

ect

ive #

of

Eff

ect

ive #

of p

rog

en

itors

pro

gen

itors

Neff = 1/2 Neff = 1/2 Mfinal/<Mform>Mfinal/<Mform>

No disk instability

Disk instability

In the monolithicIn the monolithicapproximation: Neff=1approximation: Neff=1

The ellipticals progenitors numberThe ellipticals progenitors number



MPAMPA

Log[Mstar]Log[Mstar]

The age and metallicity dependenceThe age and metallicity dependenceB

- V

B -

V

Log[Mstar]Log[Mstar]

z=0.00z=0.00

z=0.00z=0.00

z=0.28z=0.28

z=0.28z=0.28

z=0.51z=0.51

z=0.51z=0.51

z=0.76z=0.76

z=0.76z=0.76

z=1.08z=1.08

z=1.08z=1.08

Zsta

r/ZZ

star/Z

Age (G

yr)

Age (G

yr)

De Lucia et al. in preparation


MPAMPA

QuestionsQuestions

Is there a truncation of the colour-magnitude relation at some redshift? Does this depend on the environment? Are SAMs able to reproduce quantitatively the colour bimodality? Are there too many satellites or just they go red too fast? Is the late assembly time in agreement with the observed evolution of the mass/luminosity function?

The emergence of the red-sequence

Documents

Transcript of The emergence of the red-sequence