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Gabriella De Lucia, November 1,Tucson MPA The emergence of the red-sequence Gabriella De Lucia Max-Planck Institut für Astrophysik A Workshop on Massive.

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Presentation on theme: "Gabriella De Lucia, November 1,Tucson MPA The emergence of the red-sequence Gabriella De Lucia Max-Planck Institut für Astrophysik A Workshop on Massive."— Presentation transcript:

1 Gabriella De Lucia, November 1,Tucson MPA The emergence of the red-sequence Gabriella De Lucia Max-Planck Institut für Astrophysik A Workshop on Massive Galaxies over Cosmic Time II, Tucson, November 1st

2 Gabriella De Lucia, November 1,Tucson MPA An old result Visvanathan & Sandage (1977) De Propris et al. (1998) 5 mag!!! Coma The CMR - some facts Mei et al. 2006

3 Gabriella De Lucia, November 1,Tucson MPA This 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 galaxies a it neglects the infall of new galaxies The CMR - the conjectures #1 A monolithic collapse occuring at high redshift  A 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 passive a 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

4 Gabriella De Lucia, November 1,Tucson MPA The CMR - the conjectures #2 A hierarchical merger model  A hierarchical merger model slope arises because more massive Es form from the slope 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 robust a tight CM up to high redshift - the results are robust against halo-to-halo scatter against halo-to-halo scatter (De Lucia, PhD thesis) Mean progenitor mass normalised to final mass

5 Gabriella De Lucia, November 1,Tucson MPA A truncation in the CMR in high redshift clusters?

6 Gabriella De Lucia, November 1,Tucson MPA deep optical photometry from VLT (14 nights)  deep optical photometry from VLT (14 nights) Completed – White et al. 2005 near-IR photometry from NTT (20 nights)  near-IR photometry from NTT (20 nights) Completed - 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 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 preparation WFI R (120m), V, I (60m)  WFI R (120m), V, I (60m) Completed A detailed follow-up of 20 clusters from LCDCS (Gonzalez et al. 2001) 10 clusters at z  0.5 and 10 clusters at z  0.8 The Eso Distant Cluster Survey

7 Gabriella De Lucia, November 1,Tucson MPA A wide range of masses and structural properties White et al. 2005 Some EDisCS clusters

8 Gabriella De Lucia, November 1,Tucson MPA Some EDisCS CMRs De Lucia et al. 2006, astro-ph/0610373

9 Gabriella De Lucia, November 1,Tucson MPA # of galaxies z = 0.45 z = 0.57 z = 0.75 # of galaxies M I (obs) M V (rest) The build-up of the CMR #1 De Lucia et al. 2006, astro-ph/0610373 l/f = 0.48 +/- 0.08 l/f = 0.53 +/- 0.09 0.71 +/- 0.10 0.86 +/- 0.13 0.89 +/- 0.14 0.95 +/- 0.14 redshift nlum/nfaint

10 Gabriella De Lucia, November 1,Tucson MPA Kajisawa et al. (2000) 3C 324 z  1.2 deficit De Propris et al.(2003) V Composite EDisCS @z=0.75 Coma I-obs V-rest Number of galaxies De Lucia et al. 2004 A controversial result Kodama et al. 2004 Andreon 2006 MS1054-0321

11 Gabriella De Lucia, November 1,Tucson MPA redshift nlum/nfaint The build-up of the CMR #2 De Lucia et al. 2006, astro-ph/0610373 the blue galaxies observed in distant galaxy clusters provide the logical progenitors of faint red galaxies at z=0

12 Gabriella De Lucia, November 1,Tucson MPA Semi-analyticmodels

13 MPA galaxy formation 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)

14 Gabriella De Lucia, November 1,Tucson MPA feedback star formation recycling Hot Gas Cold Gas cooling Ejected Gas Stars re-incorporation De Lucia, Kauffmann & White, 2004 - AGN heating Croton et al. 2006 The SAMs - the (simplified) physics

15 Gabriella De Lucia, November 1,Tucson MPA The evolution of the CM relation in SAM models Coma Single burst zf=3 Exp. tau = 1 The build-up of the CMR in SAMs De Lucia et al. in preparation U-V MVMV MVMV MVMV MVMV MVMV

16 Gabriella De Lucia, November 1,Tucson MPA Very little build-up of the red-sequence! De Lucia et al. in preparation The build-up of the CMR in SAMs V-I nlum/nfaint MVMV MIMI MIMI MIMI MIMI redshift l/f = 0.31 z = 0.0 l/f = 0.37 z = 0.32 l/f = 0.38 z = 0.41 l/f = 0.45 z = 0.62 l/f = 0.47 z = 0.76 U-V

17 Gabriella De Lucia, November 1,Tucson MPA 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 bimodality u - r M r = -22.75 M r = -21.25 M r = -19.75M r = -18.25 Baldry et al. 2004 in preparation

18 Gabriella De Lucia, November 1,Tucson MPA redshift cluster ellipticals field ellipticals Lookback time (Gyr) M star = 10 12 M sun M star = 10 9 M sun The star formation history Most massive elliptical galaxies also the shortest formation timescales De Lucia et al. 2006

19 Gabriella De Lucia, November 1,Tucson MPA 10 10 M  10 11 M  10 12 M  cluster field Lookback time (Gyr) De Lucia et al. 2005 The star formation history

20 Gabriella De Lucia, November 1,Tucson MPA 50 % stars in a single object 80 % redshift Formation and assembly 50 % stars formed 80 % Fraction of galaxies redshift De Lucia et al. 2006

21 Gabriella De Lucia, November 1,Tucson MPA Mstar [M  h -1 ] Effective # of progenitors Neff = 1/2 Mfinal/ Neff = 1/2 Mfinal/ No disk instability Disk instability In the monolithic approximation: Neff=1 The ellipticals progenitors number De Lucia et al. 2006

22 Gabriella De Lucia, November 1,Tucson MPA Log[Mstar] The age and metallicity dependence B - V Log[Mstar] z=0.00 z=0.00 z=0.28 z=0.28 z=0.51 z=0.51 z=0.76 z=0.76 z=1.08 z=1.08 Zstar/Z  Age (Gyr) De Lucia et al. in preparation

23 Gabriella De Lucia, November 1,Tucson MPA Questions  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?


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