Cosmological growth of supermassive black holes: a synthesis model for accretion and feedback OAR Monteporzio, 17/3/2008 Andrea Merloni Max-Planck Institut.

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Cosmological growth of supermassive black holes: a synthesis model for accretion and feedback OAR Monteporzio, 17/3/2008 Andrea Merloni Max-Planck Institut für Extraterrestrische Physik Garching, Germany

Black Holes in the local Universe Ω SMBH ≈2.7  Ω *BH ≈7  [Fukugita & Peebles (2007)] Sgr A*M87 Stellar physics, SN explosions, GRB Accretion over cosmological times, Active Galactic Nuclei, galaxy evolution Ω baryon ≈4.5  ; Ω stars ≈2.5  Density of stellar mass BHs increases w/galaxy mass How does the high- mass (Supermassive) peak grow?

This talk: What do we know about evolution of SMBH population (mass function, accretion rates, etc.) A lot! (up to z~4-5) Evolution of mass and accretion rte density Constraints on radiative efficiency and avg. BH spin AGN downsizing: the role of accretion modes Anti-hierarchical evolution (downsizing) AGN synthesis models Radiative vs. kinetic energy output Where are the frontiers? Obscured AGN High-z AGN, first BH Iron line spectroscopy: spin evoluton

Accretion efficiency, Eddington limits 1. L Edd,es = 1.3 x10 38 (M BH /M sun )[XRB, AGN] 2. L Edd, = 8x10 53 (E /50MeV) -2 (M BH /M sun )[GRB] ● In order to get close (R), a particle of mass m must get rid of energy E lib = GM BH m/R ● Efficiency of accretion in liberating rest mass energy:   =E lib /mc 2 =R g /2R in, with R g =GM BH /c 2 GR → 0.06<  (a)<0.42 BHs grow by accreting mass: Power released =[  /(1-  )](dM BH /dt)c 2 Self-regulating luminosity L Edd =4πGMcm p / 

AGN and Cosmology: (very) early developments Longair 1966

BH/Galaxy Scaling relations discovered in 2000 (HST) Nowadays QSOs/AGN can: Regulate galaxy formation Stop cooling flows “produce” early type galaxies with the right colors Keep the universe ionized QSOs/AGN tracks the history of star formation in the Universe AGN and Cosmology: a shift of paradigm Gebhardt et al. 2000; Ferrarese et al. 2000; Greene et al. 2005

AGN and Cosmology: a shift of paradigm BH/Galaxy Scaling relations discovered in 2000 (HST) Nowadays QSOs/AGN can: Regulate galaxy formation Stop cooling flows “produce” early type galaxies with the right colors Keep the universe ionized QSOs/AGN tracks the history of star formation in the Universe Merloni et al Hopkins and Beacom (2006)

Recent progresses in AGN activity census Hard X-rays (2-10 keV) Soft X-rays (0.5-2 keV) Optical/UV Marconi et al Gilli, Comastri, Hasinger 2007

Bolometric corrections robustness Hopkins et al 2006 Crucial: varying X-ray bolometric correction with luminosity (Marconi et al 2004) Accretion rate BH growth rate Radiative efficiency

Note: radiative efficiency vs. accretion efficiency Non Spinning BHMaximally Spinning BH radiative efficiency accretion efficiency (BH spin) Determined by the complex physics of gas accretion

Integral constraints BHAR(z) = (Normalized SMBH mass density) Soltan (1982) first proposed that the mass in black holes today is simply related to the AGN population integrated over luminosity and redshift

Convergence in local mass density estimates Graham and Driver (2007)      

SMBH vs TOTAL stellar mass densities Perez-Gonzalez et al.(2007) z 1 3  rad =0.07

Constraints on avg. radiative efficiency  rad  Merloni and Heinz 2008  0 =  BH,0 /(4.2x10 5 )  i =  BH (z=z i )/  BH,0 (Input from seed BH formation models needed!) Begelman & Rees: Gravitiy’s fatal attraction 0.065/[  0 (1+  lost )]  rad  0.069/[  0 (1-  i +  lost )]  lost =  BH,lost /  BH,0 (Mass density of SMBH ejected from galactic nuclei due to GW recoil after mergers)

Constraints on avg. SMBH spin  a*  0.065/[  0 (1+  lost )]  rad  0.069/[  0 (1-  i +  lost )]

Constraints on avg. SMBH spin  a*  ( SMBH more easily ejected If avg. spin higher

AGN/SMBH downsizing: clues from X-rays Ueda et al. 2003; Fiore et al. 2003; Barger et al. 2005; Hasinger et al AGN downsizing

Cavaliere et al. (1973); Small & Blandford (1992); Marconi et al. (2004) Continuity equation for SMBH growth 1- Need to know simultaneously mass function  M (M,t 0 ) and accretion rate distribution 2- At any z (or t), it is possible to combine mass function and bolometric luminosity function to calculate accretion rate distribution Picture from Di Matteo et al. (2007)

Merloni and Heinz Solved continuity equation backwards in time Mass function must get narrower with z L/L edd function gets wider

“Active” BH Fractions/Mass Sensitivity curves Consequences of broad accretion rate distributions: Number density and mass functions of AGN are very sensitive to survey selection function The concept of “active” BH must be defined observationally Merloni and Heinz (2008)

The anti-hierarchical evolution at low z seems reversed at high z Heckman et al ~ 3 Log M BH 23,000 type 2 AGN at z<0.1 Growth Time SMBH downsizing

Future work: comparison with galaxies growth Noeske et al AEGIS Survey: Star forming galaxies 1/ Growth Time SMBH downsizing

Noeske et al AEGIS Survey: Star forming galaxies 1/ Growth Time Future work: comparison with galaxies growth SMBH downsizing

Merloni and Heinz (2008) Radiated energy density by BH mass We can follow the history of progenitors of local black holes

AGN downsizing: changing accretion modes SMBH must accrete at lower (average) rates at later times Accretion theory (and observations of X-ray Binaries) indicate that The energy output of an accreting BH depends crucially on its accretion rate Low-accretion rate systems tend to be “jet dominated” In the recent Cosmology jargon: Quasar mode vs. Radio mode (explosive vs. gentle)

BH transients: window on accretion physics GX Fender et al. 1999

L R /1.3  M 1.38 Radio cores scaling with M and mdot Open triangles: XRB Filled squares: AGN A “fundamental plane” of active BHs [Merloni et al. 2003; Falcke et al. 2004] Maccarone et al Very little scatter if only flat- spectrum low- hard state sources are considered (Körding et al. 2006)

1 Msec observation of the core of the Perseus Cluster with the Chandra X-ray Observatory True color image made from (red), (green), 2-7 (blue) keV photons First direct evidence of ripples, sound waves and shocks in the hot, X-ray emitting intracluster gas Radio maps reveal close spatial coincidence between X-ray morphology and AGN- driven radio jets Fabian et al AGN feedback: evidence on cluster scale

Cyg X-1 Merloni and Heinz (2007) By studying the nuclear properties of the AGN we can establish a link between jet power and accretion power The observed slope (0.50±0.045) is perfectly consistent with radiatively inefficient “jet dominated” models (see E. Churazov’s talk) Log L kin /L Edd =0.49 Log L bol /L edd Low Power AGN are jet dominated

(Blandford & Begelman 1999, Merloni 2004, Körding et al. 2007) Accretion diagram for LMXB & AGN Model parameter LK (low-kinetic; LLAGN, FRI) HK (high-kinetic; RLQ) HR (high-radiative; RQQ)

Most of SMBH growth in radiatively efficient mode Merloni 2004; Merloni et al SMBH growth 20-26%   Marconi et al. (2004)

Körding, Jester and Fender (2007); Merloni and Heinz. (2008) Kinetic Energy output and SMBH growth

Kinetic Energy output by SMBH mass

Kinetic efficiency of growing black holes

SMBH grow with a broad accretion rate distribution Most of SMBH growth occurred in radiatively efficient episodes of accretion. The anti-hierarchical trend is clearly seen in the low-z evolution of SMBH mass function. Reversal at higher z? Feedback from “Low-luminosity AGN” are most likely dominated by kinetic energy The efficiency with which growing black holes convert mass into mechanical energy is % (but strongly dependent on BH mass and redshift). Conclusions

Large, wide-area surveys (eROSITA) Tighten N H (z,L) Bolometric corrections: SED variance Hard X-ray spectroscopy (Simbol-X) Where are the Compton Thick AGN? Spin properties of AGN from iron line spectroscopy Deep and very deep surveys (XEUS) Seed Black holes distribution Open questions

The M87 jet Hubble Heritage Project