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GALAXY PROPERTIES DEPEND ON Galaxy mass Redshift Environment

GALAXY PROPERTIES DEPEND ON Galaxy mass Redshift Environment. redshift. environment. galaxy mass. WHY ?. CLUSTERS OF GALAXIES. Abell 2218 - Hubble Space Telescope – courtesy NASA see my reviews on astro-ph.

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GALAXY PROPERTIES DEPEND ON Galaxy mass Redshift Environment

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  1. GALAXY PROPERTIES DEPEND ON • Galaxy mass • Redshift • Environment

  2. redshift environment galaxy mass WHY ?

  3. CLUSTERS OF GALAXIES Abell 2218 - Hubble Space Telescope – courtesy NASA see my reviews on astro-ph

  4. The importance of galaxy clusters in galaxy evolution studies cannot be overstated….. First evidence for galaxy evolution was in clusters (Butcher & Oemler 1978) First evidence for dark matter was in clusters (Zwicky 1933) First evidence for morphological evolution of galaxies was in clusters (Dressler et al. 2004, Couch et al. 2004) Best (+groups only?) place to study elliptical galaxies Nature or nurture? Do I need to continue???

  5. CL1037.5-1243 z=0.58 CL1054.4-1245 z=0.75 CL1354.1-1231 z=0.76 CL1202.4-1224 z=0.42 CL1232.3-1250 z=0.54 ESO Distant Cluster Survey

  6. CL1216.4-1201 z=0.79 CL1037.5-1243 z=0.58 ACS/HST imaging

  7. Velocity dispersion Clusters > 400 km/s Groups < 400 km/s Halliday et al. 2004

  8. HOT GAS Hot (10^8 K) intracluster gas is the other dominant barionic component. ~10% of the mass is gas, 10% is galaxies X-Ray Luminosity and Temperature

  9. Setting the stage Clusters of galaxies are a family of objects that can greatly differ one from the other Knowing a galaxy is part of a cluster does not uniquely identify the galaxy’s “environment” Clusters of galaxies are entities in transformation, not closed boxes – they are currently forming and evolving

  10. MOVIES lcdm millennium_sim S2

  11. ENVIRONMENTAL PHYSICAL MECHANISMS:WHO IS THE CULPRIT? • Mergers and strong galaxy-galaxy interactions (Toomre&Toomre 1972; Farouki&Shapiro 1981) most efficient when low relative velocities (groups) • Tidal forces – Cumulative effect of many weaker encounters - so called “harassment” (Richstone 1976, Moore et al. 1996) most efficient in clusters - especially on smaller galaxies • Gas stripping – Interactions galaxy-IGM (Gunn&Gott 1972, Quilis et al. 00, Vollmer et al. 99) ram pressure stripping, viscous stripping, thermal evaporation - FAST most efficient when IGM gas density and velocity are high • Strangulation (also known as starvation or suffocation) (Larson, Tinsley & Caldwell 1980) loss of hot gas outer envelope affecting gas cooling - SLOW

  12. MORPHOLOGIES

  13. MORPHOLOGY-DENSITY RELATION S0 Fraction of galaxies Spirals E projected surface density (log) 55 nearby clusters from Dressler 1980’s sample – (plot from Dressler et al. 1997)

  14. Fasano et al. 2000

  15. MORPHOLOGY-DENSITY RELATION STAR FORMATION-DENSITY RELATION S0 ~ Median SF Fraction of galaxies Spirals E projected surface density (log) projected surface density (log) Dressler et al. 1997 Lewis et al. 2002 But: Global environmental effects on the MD relation: -- e.g. evidence for small differences with global environment at same local density (high- and low-Lx clusters at z=0.25: Balogh et al. 2002; concentrated and non-concentrated clusters Dressler 1980, Dressler et al. 1997)

  16. STAR FORMATION

  17. In the local Universe, a few starforming galaxies in dense, massive environments (clusters) – many more in lower mass/density regions Terlevich et al. 2001

  18. The oldest galaxies at any redshift Color-Magnitude sequence: zero-point, slope and scatter passive evolution of stellar populations formed at z>2-3. Slope is primarily driven by mass-metallicity relation. Morphologically (HST)-selected Es and S0s (Bower et al. 1992, Aragon-Salamanca et al. 1993, Rakos et al. 1995, Stanford et al. 1995, 1996, 1997, 1998, Schade et al. 1996, 1997, Ellis et al. 1997, Lopez-Cruz 1997, Kodama et al. 1998, Barger et al. 1998, van Dokkum et al.1998, 1999, 2000, 2001, Gladders et al. 1998, de Propris et al. 1999, Terlevich et al. 1999, 2001, Vazdekis et al. 2001, Andreon 2003, Merluzzi et al. 2003; Rosati et al. 1999, Lubin et al. 2000, Stanford et al. 1998, 2002, Kajisawa et al. 2000, van Dokkum et al. 2000, Blakeslee et al. 2003) Fundamental Plane, Mass-to-Light ratios and Mg-sigma relation (van Dokkum & Franx 1996, Kelson et al. 1997, 2000, 2001, van Dokkum et al. 1998, Bender et al. 1996, 1998, Ziegler & Bender 1997, Ziegler et al. 2001, Holden et al. 2004) Bright-end of K-band (mass) luminosity function (Kodama & Bower 2004, Toft et al. 2004, Strazzullo et al. 2006) Z = 1.24 Blakeslee et al. 2003

  19. Butcher-Oemler effect Fraction of blue galaxies versus Redshift • In clusters at z>0.1-0.2, • excess of galaxies bluer than the color-magnitude red sequence. • (Butcher & Oemler 1978, 1984)

  20. z 0.43 0.33 0.23 0.02 D(U-V) MV Fraction of blue galaxies Redshift Kodama & Bower 2001

  21. Kodama & Bower 2001

  22. Spectroscopy: using the [OII]3727 line Incidence of emission-line galaxies in 10 clusters at z=0.5: ~30% (Poggianti et al. 1999, Dressler et al. 1999; 25% in CNOC (Balogh et al. 1999) Z=0.5 Z=0.5 EW(Hdelta) in absorption Z=0 Z = 0 Cluster composite spectra EW(OII) in emission Dressler at al. 2004

  23. ABSORPTION-LINE SPECTRA: the smoking gunsWhen first spectra, surprise surprise... Spectra with strong Balmer lines in absorption and no emission (E+A/k+a galaxies) – post-starburst/post-starforming galaxies (Dressler & Gunn 1982,1983, Couch & Sharples 1987, Henry & Lavery 1987, Fabricant et al. 1991,1994, Dressler & Gunn 1992, Barger et al. 1996, Belloni et al. 1995, 1996, Abraham et al. 1996, Fisher et al. 1998, Morris et al. 1998, Couch et al. 1998)Larger % in clusters (10-20%) than in field at similar z’s (Dressler et al. 1999, Poggianti et al. 1999, Tran et al. 2003,2004 – as opposed to Balogh et al. 1999)-- SF truncation in clusters --

  24. EW(Hdelta) > 3 A

  25. z = 0.4 – 0.5 Poggianti et al. 1999

  26. ABSORPTION-LINE SPECTRA:the smoking guns in clusters at z=0.5When first spectra, surprise surprise... Spectra with strong Balmer lines in absorption and no emission (E+A/k+a galaxies) – post-starburst/post-starforming galaxies (Dressler & Gunn 1982,1983, Couch & Sharples 1987, Henry & Lavery 1987, Fabricant et al. 1991,1994, Dressler & Gunn 1992, Barger et al. 1996, Belloni et al. 1995, 1996, Abraham et al. 1996, Fisher et al. 1998, Morris et al. 1998, Couch et al. 1998)Larger % in clusters (10-20%) than in field at similar z’s (Dressler et al. 1999, Poggianti et al. 1999, Tran et al. 2003,2004 – as opposed to Balogh et al. 1999)-- SF truncation in clusters --

  27. Ellingson et al. 2001

  28. The “global” environment is best characterized by the mass of the structure. An estimate of the mass of the system is given by the velocity dispersion, the X-ray luminosity or temperature etc.

  29. Global or no-global?? General trends soon recognized: richer, more concentrated and relaxed clusters have more passive/early-type galaxy populations. But apparently constrating results regarding the presence(Martinez et al. 2002, Biviano et al. 1997, Zabludoff & Mulchaey 1998, Margoniner et al. 2001, Goto et al. 2003)or absence(eg Smail et al. 1998, Andreon & Ettori 1999, Ellingson et al.2001, Fairley et al. 2002, De Propris et al. 2004, Goto 2005, Wilman et al.2005) of clear correlations of galaxy properties with global cluster properties, such as velocity dispersion, X-ray luminosity and richness. Martinez et al. 2002 Wilman et al. 2005

  30. Global or no-global?? Apparently constrating results regarding the presence(Martinez et al. 2002, Biviano et al. 1997, Zabludoff & Mulchaey 1998, Margoniner et al. 2001, Goto et al. 2003)or absence(eg Smail et al. 1998, Andreon & Ettori 1999, Ellingson et al.2001, Fairley et al. 2002, De Propris et al. 2004, Goto 2005, Wilman et al.2005) of clear correlations of galaxy properties with global cluster properties, such as velocity dispersion, X-ray luminosity and richness. Ellingson et al. 2001 Edge & Stewart 1991 + Postman et al. 2005

  31. Halpha studies Integrated cluster SFR per unit of cluster mass Very hard to discriminate evolution and dependence on “cluster mass” Redshift Cluster velocity dispersion Finn et al. (eg Kodama et al. 2004, Finn et al. 2004,2005)

  32. EDisCS: [OII] – sigma relation Poggianti et al. 2006 z = 0.4 to 0.8 Fraction of galaxies with [OII] emission • Most clusters on a stripe • Outliers • Anticorrelation or upper envelope? • At a given cluster σ, AT MOST a given % of star-forming galaxies – or AT LEAST a certain % of passive galaxies • Suggests dependence SF-Mass of the system, but might well be a secondary relation – density? (e.g. existence of outliers) Fraction of members with OII within R200 500 1000 Velocity dispersion

  33. The % of SF-ing galaxies as a fn. of environment Sloan Digital Sky Survey z = 0.04-0.1 Fraction of members with OII within R200 500 1000 500 1000 Velocity dispersion Velocity dispersion Poggianti et al. 2006

  34. Evolution with z of the % of SF-ing galaxies EDisCS: z = 0.4-0.8 Sloan (Abell): z = 0.04-0.1 The fact that distant clusters contain more SFing galaxies than nearby clusters is not new of course. But for the first time, evolution is quantified as a function of the system mass At z=0, trend with sigma remains only at < 500 km/s ?

  35. Evolution of the OII-sigma relation How are these trends established? Why a general trend at z=0.8, and a broken one at z=0? What is special about a 500 km/s system at z=0?

  36. EDisCS: [OII] – sigma relation Z=0.4 to 0.8 Fraction of galaxies with [OII] emission Groups “close” to clusters different from “isolated” groups? Another hint for density? Cluster velocity dispersion

  37. STAR-FORMATION versus MORPHOLOGY Desai et al. 2007 in press Sp+Irr E+S0 S0 E % SF-ing: SF-ing spirals (85%) Spirals: SF-ing spirals (87%) and and SF-ing E+S0s (15%) passive spirals (13%)

  38. The origin of the observed trends: star formation activity and structure growth

  39. Origin of the OII-sigma relation If SF depends on the mass of the system, there should be a connection between the SF trends and the growth history of structures Press-Schechter (Bower 1991, Lacey & Cole 1993) for mass fraction Millennium Simulation (Springel etal 05,De Lucia et al. 2005) for galaxy fraction Searching for the link….. What drives the existence and the evolution of the [OII]-sigma relation?

  40. HIGH REDSHIFT (z=0.4-0.8) Two families of passive galaxies: “primordial” passive galaxies that completed their SF at z>2 “quenched” galaxies that stopped forming stars after they entered the dense environment for the first time • The fraction of passive galaxies observed at high-z agrees with the fraction of mass/galaxies that were already in groups (M > 3 X 10^12) at z=2.5 (When primordial galaxies finished forming stars (z>2), the most massive systems were groups (M > 3 X 10^12))

  41. LOW REDSHIFT The break at ~500 km/s observed at z=0 corresponds to M~10^14 = reference mass for efficient quenching 3 Gyr a reasonable upper limit for quenching timescale • The fraction of passive galaxies observed at low-z agrees with the fraction of galaxies in clusters (M > 10^14) at z~0.28 (3 Gyr before observations) • Of these, 20% are primordial passive galaxies and 60% are quenched galaxies • “Group” environment (M << 10^14) cannot efficiently and universally quench star formation Poggianti et al. 2006

  42. SO, WHY? • Why anticorrelation between OII and sigma at high-z? Because more massive systems at high-z have a higher fraction of their mass/galaxies that were already in groups at z=2.5, and the most massive systems also have a significant population of quenched galaxies. • Why evolution in the way it is observed (why Butcher-Oemler effect)? The star-forming population of galaxies is made up of galaxies that were not in groups at z=2.5 and were not in clusters in the last few Gyrs. The way structure grows determines the evolutionary behaviour as a function of mass.

  43. Popesso & Biviano 2007

  44. LOW REDSHIFT Trends with environments in large redshift surveys

  45. ~ Mean star formation rate per galaxy/L Lewis et al. 2002 – see also Gomez et al. 2003 See also Gray et al. 2004 for a cute result: trend of star formation with dark matter density

  46. Fraction of galaxies Number of galaxies Halpha equivalent width Halpha equivalent width Balogh et al. 2004

  47. Clusters Groups The relative numbers of emission-line and non-emission-line galaxies varies strongly and continuously with local density, over a huge range of densities. Such correlation is observed to exist in ALL environments. This is REMARKABLE. However, the emission-line fraction of a galaxy population depends both on local density AND on large-scale structure, in the sense that, at a given local density, the fraction of emission-line galaxies is LOWER in environments with high density on large scales (~5Mpc) (but see also Kauffmann et al. 2004) EW distribution in starforming galaxies does not depend on density – the fraction of starforming galaxies does Balogh et al. 2004

  48. Not so at high redshift!! EW(OII) distributions in different environments The % of starforming galaxies changes with environment and z Does the SF activity in SFing galaxies change with environment? (only EDisCS) The EW([OII]) distribution is more skewed towards high values in environments with higher [OII] fractions. We find that BOTH the EWs at a given L and the luminosity distribution of SFing galaxies vary with environment.

  49. LOW REDSHIFT Gas content Gas and star formation distribution

  50. HI content in cluster spirals • Gas deficiency • The sizes of gaseous disks smaller than optical disks • Results point to ram pressure stripping Bravo-Alfaro et al. 2000, Coma cluster

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