Science Achievements of the DEEP2/AEGIS survey by S. M. Faber and the DEEP & AEGIS Teams Supported by CARA, UCO/Lick Observatory, the National Science.

Slides:



Advertisements
Similar presentations
Quenched and Quenching Galaxies at Low to High Redshifts S.M. Faber & UCSC and CANDELS collaborators Dekel60 Fest December 13, 2011 M31: UV GALEX.
Advertisements

18 July Monte Carlo Markov Chain Parameter Estimation in Semi-Analytic Models Bruno Henriques Peter Thomas Sussex Survey Science Centre.
Growth of massive black holes during radiatively inefficient accretion phases Xinwu Cao Shanghai Astronomical Observatory, CAS.
The Role of Dissipation in Galaxy Mergers Sadegh Khochfar University of Oxford.
Formation of Globular Clusters in  CDM Cosmology Oleg Gnedin (University of Michigan)
1 Mechanisms of Galaxy Evolution Things that happen to galaxies… Galaxy merging Things that happen to galaxies… Galaxy merging.
KASI Galaxy Evolution Journal Club Comparing the Relation between Star Formation and Galaxy Mass in Different Environments - B. Vulcani et al. 2010, ApJ,
Kevin Bundy, Caltech The Mass Assembly History of Field Galaxies: Detection of an Evolving Mass Limit for Star-Forming Galaxies Kevin Bundy R. S. Ellis,
The two phases of massive galaxy formation Thorsten Naab MPA, Garching UCSC, August, 2010.
RESULTS AND ANALYSIS Mass determination Kauffmann et al. determined masses using SDSS spectra (Hdelta & D4000) Comparison with our determination: Relative.
Multivariate Properties of Galaxies at Low Redshift.
Massive galaxies in massive datasets M. Bernardi, J. Hyde and E. Tundo M. Bernardi, J. Hyde and E. Tundo University of Pennsylvania.
Dark Matter and Galaxy Formation Section 4: Semi-Analytic Models of Galaxy Formation Joel R. Primack 2009, eprint arXiv: Presented by: Michael.
Eight billion years of galaxy evolution Eric Bell Borch, Zheng, Wolf, Papovich, Le Floc’h, & COMBO-17, MIPS, and GEMS teams Venice
How Galaxies Assemble Romeel Davé, Univ. of Arizona With: Dušan Kereš & Neal Katz (U.Mass), and David Weinberg (Ohio State)
AGN and Quasar Clustering at z= : Results from the DEEP2 + AEGIS Surveys Alison Coil Hubble Fellow University of Arizona Chandra Science Workshop.
THE MODERATELY LARGE SCALE STRUCTURE OF QUASARS
What Does Clustering Tell Us About the Buildup of the Red Sequence Tinker & Wetzel 2009 Presented by Brandon Patel.
Bell, E. F et al “Nearly 5000 distant Early-type galaxies in COMBO-17: A Red Sequence and its evolution since z~1” Presented by: Robert Lindner (Bob)‏
Dark Matter and Galaxy Formation (Section 3: Galaxy Data vs. Simulations) Joel R. Primack 2009, eprint arXiv: Presented by: Michael Solway.
“ Testing the predictive power of semi-analytic models using the Sloan Digital Sky Survey” Juan Esteban González Birmingham, 24/06/08 Collaborators: Cedric.
Clustering of QSOs and X-ray AGN at z=1 Alison Coil Hubble Fellow University of Arizona October 2007 Collaborators: Jeff Newman, Joe Hennawi, Marc Davis,
Large-Scale Structure at z=1: Results from the DEEP2 Survey Alison Coil Steward Observatory University of Arizona March 2006.
Cosmological formation of elliptical galaxies * Thorsten Naab & Jeremiah P. Ostriker (Munich, Princeton) T.Naab (USM), P. Johannson (USM), J.P. Ostriker.
Establishing the Connection Between Quenching and AGN MGCT II November, 2006 Kevin Bundy (U. of Toronto) Caltech/Palomar: R. Ellis, C. Conselice Chandra:
Dissecting the Red Sequence: Stellar Population Properties in Fundamental Plane Space Genevieve J. Graves, S. M. Faber University of California, Santa.
Star Formation Downsizing: Testing the Role of Mergers and AGN Kevin Bundy (University of Toronto) Richard Ellis (Caltech), Tommaso Treu (UCSB), Antonis.
Feedback & Large Surveys Harry Ferguson (STScI). Feedback Behroozi Halo quenching Quasar mode AGN Radio Mode AGN (SNe) SNe Satellites: Ram pressure,
How to start an AGN: the role of host galaxy environment Rachel Gilmour (ESO Chile & IfA, Edinburgh) Philip Best (Edinburgh), Omar Almaini & Meghan Gray.
The Evolution of Quasars and Massive Black Holes “Quasar Hosts and the Black Hole-Spheroid Connection”: Dunlop 2004 “The Evolution of Quasars”: Osmer 2004.
The Gas Properties of Galaxies on and off of a Star-Forming Sequence David Schiminovich + GALEX Science Team Columbia University.
Chapter 25 Galaxies and Dark Matter Dark Matter in the Universe We use the rotation speeds of galaxies to measure their mass:
Lecture Outlines Astronomy Today 8th Edition Chaisson/McMillan © 2014 Pearson Education, Inc. Chapter 25.
Conference “Summary” Alice Shapley (Princeton). Overview Multitude of new observational, multi-wavelength results on massive galaxies from z~0 to z>5:
Understanding formation of galaxies from their environments Yipeng Jing Shanghai Astronomical Observatory.
Scaling relations of spheroids over cosmic time: Tommaso Treu (UCSB)
IAU Jong-Hak Woo Univ. California Santa Barbara Collaborators: Tommaso Treu (UCSB), Matt Malkan (UCLA), & Roger Blandford (Stanford) Cosmic Evolution.
The coordinated growth of stars, haloes and large-scale structure since z=1 Michael Balogh Department of Physics and Astronomy University of Waterloo.
The Environmental Effect on the UV Color-Magnitude Relation of Early-type Galaxies Hwihyun Kim Journal Club 10/24/2008 Schawinski et al. 2007, ApJS 173,
Scaling Relations in HI Selected Star-Forming Galaxies Gerhardt R. Meurer The Johns Hopkins University Gerhardt R. Meurer The Johns Hopkins University.
1 The mid-infrared view of red-sequence galaxies Jongwan Ko Yonsei Univ. Observatory/KASI Feb. 28, 2012 The Second AKARI Conference: Legacy of AKARI: A.
Modeling the dependence of galaxy clustering on stellar mass and SEDs Lan Wang Collaborators: Guinevere Kauffmann (MPA) Cheng Li (MPA/SHAO, USTC) Gabriella.
Galaxy and Quasar Clustering at z=1 Alison Coil University of Arizona April 2007.
The Star Formation Histories of Red Sequence Galaxies Mike Hudson U. Waterloo / IAP Steve Allanson (Waterloo) Allanson, MH et al 09, ApJ 702, 1275 Russell.
MNRAS, submitted. Galaxy evolution Evolution in global properties reasonably well established What drives this evolution? How does it depend on environment?
The Role of Galaxy Mergers in Forming the Red-Sequence Galaxies
The dynamics of the gas regulator model and the implied cosmic sSFR-history Yingjie Peng Cambridge Roberto Maiolino, Simon J. Lilly, Alvio Renzini.
AGN feedback in action: constraints on the scaling relations between BH and galaxy at high redshift Andrea Merloni (EXC, MPE) A. Bongiorno (MPE), COSMOS.
1 Carlo Nipoti Dipartimento di Astronomia Università di Bologna Thermal evaporation, AGN feedback and quenched star formation in massive galaxies Chandra.
Galaxy groups Driving galaxy evolution since z=1 Michael Balogh Department of Physics and Astronomy University of Waterloo.
Copyright © 2010 Pearson Education, Inc. Chapter 16 Galaxies and Dark Matter Lecture Outline.
Gas Accretion and Secular Processes 1  How much mass assembled in mergers?  How much through gas accretion and secular evolution? Keres et al 2005, Dekel.
Semi-analytical model of galaxy formation Xi Kang Purple Mountain Observatory, CAS.
Present-Day Descendants of z=3.1 Ly  Emitting (LAE) Galaxies in the Millennium-II Halo Merger Trees Jean P. Walker Soler – Rutgers University Eric Gawiser.
The Galaxy-Forming Main Sequence Bahcall Colloquium Sandra M. Faber February, 2009.
Red-Sequence Galaxies with young stars and dust The cluster A901/902 seen with COMBO-17 Christian Wolf (Oxford) Meghan E. Gray (Nottingham) Klaus Meisenheimer.
How are galaxies influenced by their environment? rachel somerville STScI Predictions & insights from hierarchical models with thanks to Eric Bell the.
KASI Galaxy Evolution Journal Club A Massive Protocluster of Galaxies at a Redshift of z ~ P. L. Capak et al. 2011, Nature, in press (arXive: )
The GOOD NICMOS Survey (GNS): Observing Massive Galaxies at z > 2 Christopher J. Conselice (University of Nottingham) with Asa Bluck, Ruth Gruethbacher,
Chapter 25 Galaxies and Dark Matter. 25.1Dark Matter in the Universe 25.2Galaxy Collisions 25.3Galaxy Formation and Evolution 25.4Black Holes in Galaxies.
Star Formation and Accretion: Systems experience periods of activity on the first passage of the galaxies, where tidal tails and morphological disturbances.
Galaxy evolution in z=1 groups The Gemini GEEC2 survey Michael Balogh Department of Physics and Astronomy University of Waterloo.
9 Gyr of massive galaxy evolution Bell (MPIA), Wolf (Oxford), Papovich (Arizona), McIntosh (UMass), and the COMBO-17, GEMS and MIPS teams Baltimore 27.
The Mass-Dependent Role of Galaxy Mergers Kevin Bundy (UC Berkeley) Hubble Symposium March, 2009 Masataka Fukugita, Richard Ellis, Tom Targett Sirio Belli,
AGN in the VVDS (Bongiorno, Gavignaud, Zamorani et al.) 1.What has been done: main results on Type 1 AGN evolution and accretion properties of faint AGN.
AEGIS-X: Results from the Chandra survey of the Extended Groth Strip
Genevieve J. Graves University of California, Santa Cruz
The interaction-driven model for the starburst galaxies and AGNs
Specific Star Formation Rates to z=1.5
On the
Presentation transcript:

Science Achievements of the DEEP2/AEGIS survey by S. M. Faber and the DEEP & AEGIS Teams Supported by CARA, UCO/Lick Observatory, the National Science Foundation, and NASA

DEEP2 basics Officially finished:  53,000 spectra  39,000 with Quality 3 or 4 redshifts  Reliability > 98%

Sampling density on the sky compared to other surveys

Extended Groth Strip Data Sets Phase I Phase II

Sampling density per Mpc -3 Median redshift x3

Color bimodality persists out to beyond z ~ 1 Combo-17 survey: 25,000 galaxies R-band selected to R = color photo-z’s Bell et al Similar results from DEEP2.

 Red sequence continues to grow at late times (Faber et al. 2007)  Only available pool to draw from is the BLUE CLOUD. Hence, galaxies must be moving from the blue cloud to the red sequence due to a decline in star-formation  Three theories: - Major mergers trigger AGNs and feedback: Hopkins et al Massive halo quenching (10 12 M , Blumenthal et al. 1984, Keres et al. 2005, Birnboim & Dekel 2006) - Gas exhaustion due to declining infall onto galaxies (Dekel 2008)) Formation of the Red Sequence

DEEP2 and COMBO-17: At least half of all L* spheroidal galaxies were quenched after z = 1 Bell et al. 2004, Willmer et al. 2006, Faber et al X4 Back in time ---> <--- Fewer galaxies

8911 Red sequence Blue cloud Flow through the color-mass diagram for “central” galaxies Dry merging Faber et al Quenching band

 Quenching is a gradual process that lasts billions of years. It is not a sudden event, as shown by the scarcity of K+A galaxies (Yan et al. 2008)  This is evidence against *sudden* gas evacuation, such as would be caused with AGNs  Quenching starts first in denser environments (Cooper et al. 2006)  There thus appears to be an environment threshold of some kind that begins to be crossed in dense environments around z ~ 2  Massive red-sequence galaxies quench first. These are probably centrals. The faint end of the red sequence forms later, via satellite quenching. (Bundy et al. 2007, Huang et al., in prep.) - The central-satellite distinction is important for galaxy evolution. Quenching by a massive halo threshold best fits z < 1 data. What is the quenching mechanism?

Major quenching in high-density environments starts near z = 1.3 Cooper et al. 2006

Yan et al. 2008, based on Quintero et al Post-starburst galaxies are rare. Most galaxies quench gradually. Ratio A stars/K stars Emission Post-starbursts

The red sequence grows from top down Z = 1.1 Z = 0.7 time A new set of photoz’s with 3% accuracy complete to K AB = -20 Huang et al., in prep Satellites

 Star-formation is tightly correlated with stellar mass - Scatter is <0.3 dex (1-sigma) (Noeske et al. 2007a)  Abrupt fall-off at high mass corresponds to creation of red sequence  A simple model fits the data after z~3: (Noeske et al. 2007b) - 1-d family of star-forming trajectories, labeled by stellar mass today - More massive galaxies have more rapid declines and start earlier  Thus star-formation is a wave that starts in massive galaxies and sweeps downward to small ones at late times. DOWNSIZING!  Observed scatter matches that of semi-analytic models that include merger-driven SFR! Nevertheless, only a few percent of stars in models are triggered by merger events (Kollipara et al., in prep) Most star-formation is “quiescent” and is tightly correlated with stellar mass. Star formation varies smoothly and predictably

AEGIS: Star-forming “main sequence”  Star formation declines exponentially in each galaxy  Bigger galaxies turn on sooner and decay faster  Downsizing! Noeske et al  -model sequence:

Salim et al Log Stellar Mass Rapid color change Blue Red SDSS+GALEX: Similar trend based on absorption-corrected UV flux satellites Red, dead, massive Blue, active, small SSFR based on UV (reddening corrected)

 Major mergers do not increase rapidly back in time (Lotz et al. 2008, in prep)  High-star-forming galaxies are not preferentially disturbed (Kollipara et al., in prep). Pair-enhanced SFR rate is < 2x (Lin et al. 2007)  AGN are found in massive galaxies in blue cloud, GV, and RS (Nandra et al. 2007)  Typical AGN are not noticeably correlated with disturbed galaxies (Pierce et al. 2008) BUT….  “Dry” mergers likely do create pure spheroidals on red sequence  AGN likely are important for “maintenance mode”  High-luminosity QSO phase may be associated with mergers The role of major mergers and AGN

Mergers do not rise that rapidly back in time AEGIS: Lotz et al (1+z) 3.4

X-ray AGNs are found in massive galaxies Nandra et al. (2007) QSO phase

Pierce et al AGNs are NOT preferentially in mergers

 Raw rotation speeds of star-forming galaxies are low on average, but there is a large random component (Kassin et al. 2007)  S 0.5 is a theoretically motivated combination of rotation and random motions (Weiner et al. 2006)  Using S 0.5 brings all star-forming galaxies to the same Tully-Fisher line, including mergers and irregular-looking objects  This line is the same as the local Faber-Jackson line for spheroidal galaxies The Faber-Jackson relation comes from the TF relation of pre-existing star-forming galaxies The origin of early-type galaxy scaling laws

Kassin et al. 2007, after Weiner et al M * vs S 0.5 =(0.5V rot 2 +  2 ) 1/2 M * vs V rot The M * -  4 relation: S 0.5 makes sense of pecs+mergers Raw rotation speed V rot

Kassin et al. 2007, after Weiner et al M * vs S 0.5 =(0.5V rot 2 +  2 ) 1/2 M * vs V rot The M * -  4 relation: S 0.5 makes sense of pecs+mergers

S 0.5 rationalizes merging galaxies, puts them on the TF line M * vs S 0.5 =(0.5V rot 2 +  2 ) 1/2 M * vs V rot Covington et al. (2009) Black points: pre-merger Red points: during merger

Kassin et al. 2007, after Weiner et al Same as local Faber-Jackson relation! The M * -  4 relation: S 0.5 makes sense of pecs+mergers

02468 Redshift, z Log (M halo /M  ) Dark halos of progressively smaller mass Cattaneo et al time

02468 Redshift, z Log (M halo /M  ) Dark halos of progressively smaller mass Cattaneo et al time

02468 Redshift, z Log (M halo /M  ) A schematic model of average halo mass growth Star-forming band

02468 Redshift, z Log (M halo /M  ) A schematic model of average halo mass growth Star-forming band SFR = f(M halo, z) C. Conroy, R. Wechsler, D. Croton M crit

02468 Redshift, z Log (M halo /M  ) A schematic model of average halo mass growth Star-forming region C. Conroy, R. Wechsler, D. Croton Dekel & Birnboim 2006 ?

02468 Redshift, z Log (M halo /M  ) A schematic model of average halo mass growth Red, dead, massive Blue, active, small

A similar model arrived at from HOD model fitting

 Hierarchical clustering is fully consistent with downsizing if there is an upper edge to the “star-forming band”  The major determiner of a galaxy’s evolution is its dark-halo mass at a given redshift  This gives rise to a mass sequence in which a galaxy’s stellar mass today is closely correlated with its past evolutionary history and thus its properties today  The roots of galaxy scaling relations of galaxies were laid down during their star-forming phase  General conclusions