Demography how many AGN in the sky? - number counts of normal galaxies radio sources optically selected AGN X-ray selected AGN how many AGN per cubic Mpc?

Slides:



Advertisements
Similar presentations
18 July Monte Carlo Markov Chain Parameter Estimation in Semi-Analytic Models Bruno Henriques Peter Thomas Sussex Survey Science Centre.
Advertisements

UNCERTAINTIES ON THE BLACK HOLE MASSES AND CONSEQUENCES FOR THE EDDINGTON RATIOS Suzy Collin Observatoire de Paris-Meudon, France Collaborators: T. Kawaguchi.
A Large Catalogue of Ultraluminous X-ray Source Candidates in Nearby Galaxies Madrid: 2010 DOM WALTON IoA, Cambridge, UK In collaboration with Jeanette.
Growth of massive black holes during radiatively inefficient accretion phases Xinwu Cao Shanghai Astronomical Observatory, CAS.
AGN Eddington Ratio Distributions
Quasar Clustering from SDSS DR7: Dependencies on FIRST Radio Magnitudes Andria C. Schwortz, Sarah Eftekharzadeh, Adam D. Myers, Yue Shen Clustering is.
Yoshihiro Ueda (ISAS) Co-Is on construction of the HXLF:
Swift/BAT Hard X-ray Survey Preliminary results in Markwardt et al ' energy coded color.
The multiwavelength surveys of the ELAIS-S1 and GOODS fields Fabrizio Fiore & M. Brusa, A. Comastri, C. Feruglio, A. Fontana, A. Grazian, F. La Franca,
Luminous obscured quasars in the HELLAS2XMM survey: the Spitzer perspective Cristian Vignali Dipartimento di Astronomia, Universita`degli Studi di Bologna.
Constraining Astronomical Populations with Truncated Data Sets Brandon C. Kelly (CfA, Hubble Fellow, 6/11/2015Brandon C. Kelly,
Everything you wanted to know about the X-ray background … Andrea Comastri (INAF-OABologna-Italy) Andrea Comastri (INAF-OABologna-Italy) Gilli R., Comastri.
The relation among black holes, their host galaxies and AGN activity INAF ISTITUTO NAZIONALE DI ASTROFISICA NATIONAL INSTITUTE FOR ASTROPHYSICS Galaxies.
Bayesian Analysis of X-ray Luminosity Functions A. Ptak (JHU) Abstract Often only a relatively small number of sources of a given class are detected in.
Star formation at high redshift (2 < z < 7) Methods for deriving star formation rates UV continuum = ionizing photons (dust obscuration?) Ly  = ionizing.
Boston, November 2006 Extragalactic X-ray surveys Paolo Tozzi Spectral analysis of X-ray sources in the CDFS.
X-ray Bright, Optically Normal Galaxies - XBONGS Forman, Anderson, Hickox, Jones, Murray, Vikhlinin, Kenter and the Bootes Team Bootes Survey 9.3 sq. degrees.
A Unified, Merger-Driven Model of the Origin of Starbursts, Quasars, the Cosmic X-Ray Background, Supermassive Black Holes, and Galaxy Spheroids Hopkins,
“ Testing the predictive power of semi-analytic models using the Sloan Digital Sky Survey” Juan Esteban González Birmingham, 24/06/08 Collaborators: Cedric.
Gamma-Ray Luminosity Function of Blazars and the Cosmic Gamma-Ray Background: Evidence for the Luminosity-Dependent Density Evolution Takuro Narumoto (Department.
ACCRETION MODELS FOR BLACK HOLE EVOLUTION Francesco Shankar In collaboration with: D. Weinberg J. Miralda-Escude’ L. Ferrarese A. Cavaliere S. Mathur CCAPP/OSU.
Advanced Methods for Studying Astronomical Populations: Inferring Distributions and Evolution of Derived (not Measured!) Quantities Brandon C. Kelly (CfA,
X-ray (and multiwavelength) surveys Fabrizio Fiore.
Σπειροειδείς γαλαξίες
1 The Fundamental Plane Relationship of Astrophysical Black Holes Ran Wang Supervisor: Xuebing Wu Peking University Ran Wang Supervisor: Xuebing Wu Peking.
Environmental Properties of a Sample of Starburst Galaxies Selected from the 2dFGRS Matt Owers (UNSW) Warrick Couch (UNSW) Chris Blake (UBC) Michael Pracy.
Obscured AGN in the (z)COSMOS survey AGN9, Ferrara, May Angela Bongiorno Max-Planck-Institut für extraterrestrische Physik, Garching, GERMANY AND.
The Evolution of Quasars and Massive Black Holes “Quasar Hosts and the Black Hole-Spheroid Connection”: Dunlop 2004 “The Evolution of Quasars”: Osmer 2004.
Gravitational Waves from Massive Black-Hole Binaries Stuart Wyithe (U. Melb) NGC 6420.
New Puzzles in Supermassive Black Hole Evolution Charles L. Steinhardt IPMU, University of Tokyo October 14, 2010 Steinhardt & Elvis 2010, MNRAS, 402,
Probing AGN Outflows with Variability Smita Mathur Ohio State Collaborators: Yair Krongold, Fabrizio Nicastro, Anjali Gupta Nancy Brickhouse, Martin Elvis.
The Black-Hole – Halo Mass Relation and High Redshift Quasars Stuart Wyithe Avi Loeb (The University of Melbourne) (Harvard University) Fan et al. (2001)
Obscured AGN and XRB models Andrea Comastri (INAF-OABologna-Italy) Roberto Gilli (INAF-OABologna-Italy) F. Fiore (INAF-OARoma-Italy) G. Hasinger (MPE-Garching-
The Evolution of AGN Obscuration
The Evolution of AGN Obscuration
The Accretion History of SMBHs in Massive Galaxies Kate Brand STScI Collaborators: M. Brown, A. Dey, B. Jannuzi, and the XBootes and Bootes MIPS teams.
Γαλαξίες – 3 Υπερμαζικές Μαύρες Τρύπες στα κέντρα γαλαξιών 15 Ιανουαρίου 2013.
Revealing X-ray obscured Quasars in SWIRE sources with extreme MIR/O Giorgio Lanzuisi Fabrizio Fiore Enrico Piconcelli Chiara Feruglio Cristian Vignali.
Luminosity Functions from the 6dFGS Heath Jones ANU/AAO.
Black holes and accretion flows Chris Done University of Durham.
Compton-thick AGN in the CDFN I. Georgantopoulos NOA A. Akylas NOA A. Georgakakis NOA M. Rovilos MPE M. Rowan-Robinson Imperial College.
Astrophysics from Space Lecture 6: Supermassive black holes Prof. Dr. M. Baes (UGent) Prof. Dr. C. Waelkens (KUL) Academic year
Observations of Obscured Black Holes
Black hole accretion history of active galactic nuclei 曹新伍 中国科学院上海天文台.
The Evolution of AGN Obscuration Ezequiel Treister (ESO) Meg Urry (Yale) Julian Krolik (JHU)
AGN Demographics Christine Black 3/1/12
The dependence on redshift of quasar black hole masses from the SLOAN survey R. Decarli Università dell’Insubria, Como, Italy A. Treves Università dell’Insubria,
Evolution of Accretion Disks around Massive Black Holes: Constraints from the Demography of Active Galactic Nuclei Qingjuan Yu UC Berkeley April 21, 2006.
The History of Black Hole Accretion from X-ray Stacking Ezequiel Treister (IfA, Hawaii) Collaborators: Meg Urry, Priya Natarajan, Kevin Schawinski (Yale),
The History of Active Galaxies A.Barger, P. Capak, L. Cowie, RFM, A. Steffen, and Y. Yang Active Galaxies (AKA quasars, Seyfert galaxies etc) are radiating.
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 luminosity-dependent evolution of the radio luminosity function Emma Rigby University of Nottingham Collaborators: P. Best, M. Brookes, J. Dunlop,
A synthesis model for AGN evolution: unveiling SMBH growth with (past and future) X- ray surveys Ringberg Meeting, 2/2008 Andrea Merloni Max-Planck Institut.
The GOOD NICMOS Survey (GNS): Observing Massive Galaxies at z > 2 Christopher J. Conselice (University of Nottingham) with Asa Bluck, Ruth Gruethbacher,
Tools for computing the AGN feedback: radio-loudness and the kinetic luminosity function Gabriele Melini Fabio La Franca Fabrizio Fiore Active Galactic.
The Radio Properties of Type II Quasars PLAN Type II quasars Motivations Our sample Radio observations Basic radio properties Compare our results with.
Why is the BAT survey for AGN Important? All previous AGN surveys were biased- –Most AGN are ‘obscured’ in the UV/optical –IR properties show wide scatter.
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.
“SPITZER observations of luminous obscured Quasars” Enrica Bellocchi in collaboration with A. Comastri, F. Pozzi, C. Vignali, J. Fritz, L. Pozzetti on.
High Redshift QUASAR Spectra as Probe of Reionization of IGM.
Growth of SMBH studied through X-ray surveys
The Space Density of Compton Thick AGN
UV/Optical Detections of Candidate Tidal Disruption Events by GALEX and CFHTLS Gezari et al Looking for detections of stellar material accreting.
Quasars, Active Galaxies, and super-massive black holes
Cosmic evolution of AGN in several X-ray bands
Black Holes in the Deepest Extragalactic X-ray Surveys
Group Nov. 01, USTC 4/18/2019 Group Nov. 01, USTC AGN-dominated SFG-dominated.
Borislav Nedelchev et al. 2019
Presentation transcript:

Demography how many AGN in the sky? - number counts of normal galaxies radio sources optically selected AGN X-ray selected AGN how many AGN per cubic Mpc? - Luminosity functions and their evolution normal galaxies optically selected AGN X-ray selected AGN QSO: probes of high z Universe - Supermassive black hole volume density

Number counts Flux limited sample: all sources in a given region of the sky with flux > than some detection limit Flim. Consider a population of objects with the same L Assume Euclidean space

Number counts Test of evolution of a source population (e.g. radio sources). Distances of individual sources are not required, just fluxes or magnitudes: the number of objects increases by a factor of =4 with each magnitude. So, for a constant space density, 80% of the sample will be within 1 mag from the survey detection limit. If the sources have some distribution in L:

Problems with the derivation of the number counts Completeness of the samples. Eddington bias: random error on mag measurements can alter the number counts. Since the logN-logFlim are steep, there are more sources at faint fluxes, so random errors tend to increase the differential number counts. If the tipical error is of 0.3 mag near the flux limit, than the correction is  15%. Variability. Internal absorption affects “ color ” selection. SED, ‘ K-correction ’, redshift dependence of the flux (magnitude).

Radio sources number counts

Galaxy number counts

Optically selected AGN number counts Z<2.2 B=22.5  100 deg -2 B=19.5  10 deg -2 z>2.2 B=22.5  50 deg -2 B=19.5  1 deg -2 B-R=0.5

X-ray AGN number counts OUV sel. AGN=0.3 R=22 ==> 3   1000deg -2 R=19 ==> 5   25deg -2 The surface density of X-ray selected AGN is 2-10 times higher than OUV selected AGN

The V/V max test Marteen Schmidt (1968) developed a test for evolution not sensitive to the completeness of the sample. Suppose we detect a source of luminosity L and flux F >F lim at a distance r in Euclidean space: If we consider a sample of sources distributed uniformly, we expect that half will be found in the inner half of the volume V max and half in the outer half. So, on average, we expect V/V max =0.5

The V/V max test In an expanding Universe the luminosity distance must be used in place of r and r max and the constant density assumption becomes one of constant density per unit comuving volume.

Luminosity function In most samples of AGN > 0.5. This means that the luminosity function cannot be computed from a sample of AGN regardless of their z. Rather we need to consider restricted z bins. More often sources are drawn from flux-limited samples, and the volume surveyed is a function of the Luminosity L. Therefore, we need to account for the fact that more luminous objects can be detected at larger distances and are thus over-represented in flux limited samples. This is done by weighting each source by the reciprocal of the volume over which it could have been found:

Luminosity function

Galaxy luminosity functions B band rest frame

OUV selected AGN luminosity function AAT 2dF survey

OUV selected AGN luminosity function  -3.5,  -1.5 k  3.5

OUV selected AGN luminosity function

OUV selected AGN LF SDSS survey

X-ray selected AGN luminosity functions luminosity dependent density evolution

2-10 keV AGN luminosity function models LDDE with variable absorbed AGN fraction La Franca et al keV 0.5-2keV

Comparison with HC models

The cosmic backgrounds energy densities

Assume that the intrinsic spectrum of the sources making the CXB has  E =1 I 0 =9.8  erg/cm 2 /s/sr  ’ =4  I 0 /c

Optical (and soft X-ray) surveys gives values 2-3 times lower than those obtained from the CXB (and of the F.&M. and G. et al. estimates)

Black hole mass density A ~ 5x10 39 erg s -1 Mpc -3 A (1-  ) L Bol  BH ~ ——————  c 2 L X  =0.1 L Bol /L X =40  BH ~ 3x10 -5 M Θ Yr -1 Mpc -3  BH ~ 4x10 5 M Θ Mpc -3..

BH growth

CXB and SMBH census Two seminal results: 1.The discovery of SMBH in the most local bulges; tight correlation between M BH and bulge properties. 2.The BH mass density obtained integrating the AGN L.-F. and the CXB  that obtained from local bulges  most BH mass accreted during luminous AGN phases! Most bulges passed a phase of activity: Complete SMBH census and full understanding of AGN evolution to understand galaxy evolution

Local SuperMassive Black Hole AGN are powered by accretion on a SuperMassive Black Hole of M, Thus SMBH should exist in the nuclei of all galaxies that have experimented a violently active phase. Are all local SMBH relics of AGN activity? Do other mechanisms, as merging, play a role? There are strong correlations between the BH mass and host galaxy properties: bulge luminosity and mass and central stellar velocity dispersion. These correlations can be used to estimate the mass function of local BH and thus their total mass density  BH in the local Universe. Is possible to answer this question comparing the local BH mass function with that of AGN

The mass function of local BH -  (x)dx number of galaxies per unit of comoving volume with observable x between x and x + dx - logM BH = a + blogx log linear correlation between the BH mass and the observable x -  (M BH ) intrinsic dispersion; it is similar for all the correlations is one refers only to galaxies with secure BH detection - P(logM BH | logx)=(2  ) -1/2 exp-[0.5(logM BH -a-blogx/  (M BH )) 2 ] probability that the M BH is between logM BH and logM BH + dlogM BH for a given logx assuming a normal distribution -  (M BH, x) dM BH dx=[P(logM BH |logx)/M BH log10] dM BH  (x)dx Number of BH with mass between M BH and M BH +dM BH, and observable between x and x + dx

Then the local BH mass function is … and the total mass density of local BH is if the observable x is the bulge luminosity L It is important to test that the M BH -  and M BH -L bul correlation derived from a selected sample are consistent. The selected sample is a SDSS sample of 9000 early type galaxy for which it is possible to determine independently the velocity and luminosity functions.

BHMF from the MBH-s correlation M BH -  correlation from a group of selected early type of galaxy with secure determination of BH mass is: The M BH -  correlation from a group of selected early type of galaxy with secure determination of BH mass is: log M BH =(8.30  0.07)+(4.11  0.33)(log  -2.3) The assumed velocity function is that by Sheth et al for early type galaxy Montecarlo realization of the BH mass function were computed by randomly varying the input parameters. These parameters are assumed normally distributed, and their 1  uncertainties are given by their measurement errors. Two BHMF with  (M BH )=0 and  (M BH )=0.3.

BHMF from the M BH -L bul correlation M BH -L bul correlation from the group of selected early type galaxy with secure determination of BH mass in the K band is: The M BH -L bul correlation from the group of selected early type galaxy with secure determination of BH mass in the K band is: log M BH =(8.21  0.07)+(1.13  0.12)(logL K,bul -10.9) The luminosity function is that by Bernardi et al In the case of S0 galaxy the bulge luminosity has to be corrected for a factor  m, and is related to the total luminosity by:  bulge (m)=f S0  (m-  m)/(f E +f S0 ) f E ~0.1, f S0 ~0.2 The correction factor  m is few dependent on the photometrical band, thus in the computation of the bulge luminosity function is possible to assume the B band. The use of the M BH -  correlation is more secure because it has not to be corrected for the bulge fraction, but it is more difficult to measure

The BHMFs derived from the two correlations The effect of a dispersion in the correlation is that to softening the decrease of the BHMF at high mass thus increasing the total density The use of the same intrinsic dispersion provide consistently BHMF ’ s with the same mass densities  BH

The BHMF for Early Type Galaxies Can the use of luminosity functions from different galaxy survey and photometric band affect the determination of BHMF in early type galaxy? Bernardi et al.: SDSS ( A) sample of 9000 early type galaxies; Marzke et al.: CfA survey (B(0)≤14.5); the luminosity function is for morphological type and the luminosities are in Zwicky magnitudes Kochanek et al.: luminosity function in the K band Nakamura et al.: SDSS sample; luminosity function in the r* band The different BHMF are in good agreement. Discrepancies arise only at low mass, M BH <10 8 M 0, and are due to the extrapolation of the different functions adopted to fit the data.

The BHMF for all Galaxy types It has been derived using both the M BH -L bul and the M BH -  correlations. All the BHMF ’ s and the BH densities  BH are in agreement within the errors. The best estimate in the density of local massive BH is  BH =4.6·10 5 M 0 Mpc -3 About the 70% of this density is given by early type galaxies.

The Mass Function of AGN Relics I. The continuity Equation The continuity equation links the relic BHMF N(M, t) to the AGN luminosity function  (L, z). AGN are powered by mass accretion on the central massive BH.  is the mean accretion rate on the BH of mass M During the BH accretion the AGN luminosity is L=  L Edd and the mass is converted in energy with efficiency  : The intrinsic AGN luminosity is directly related to the BH accretion.  (L, t) dLog L=  (M, t) N(M, t) dM  M=BH with mass M active at t The right term of the eq. containing the source function is equal to zero. All processes, such as merging, that can create or destroy a BH are neglected; the rate is very uncertain and strongly depends on the model adopted.

A fraction  of the mass is converted in energy and escape from the BH with constant  and Integration with initial condition  [M, t(z s )]=1, i.e. all the BH are active at the starting redshift z s. Integration on the mass M gives the density of AGN relics: with

II. The Bolometric Corrections AGN luminosity is determined in a limited energy band b; a suitable bolometric correction, f bol, b =L/L b is required. The observed luminosity is given by the integral of the observed Spectral Energy Distribution. The IR radiation is reprocessed, thus a correction is required. A template spectrum is constructed. Optical-UV band: broken power-law  1 =  m-1300 A (L ~  )  2 = A X-ray band: simple power law + reflection component  =1.9, E b =500 keV The spectrum, and thus the bolometric corrections, are assumed to be independent on the redshift.

III. The Luminosity Function of AGN AGN surveys are performed in limited spectral bands. The LF found in literature describe only a fraction of the AGN population, i.e. a fraction of the local BHMF. Boyle et al : B band, all the population of red quasar is missed Soft X-ray (0.5-2 keV): all sources with important absorption are missed, N H >10 22 cm -2 Hard X-ray (2-10 keV): the most of AGNs; object with N H >10 24 cm -2 are missed The first two LFs function are in good agreement at high luminosity. The third LF samples a larger fraction of AGN population at all luminosities. Differential comoving energy density Objects with L>10 12 L 0 provide ~ 50 % of the total energy High and low luminosity objects have similar redshift distributions U=1.5· erg cm -2  BH =2.2·10 5 M 0 Mpc -3

Integration of the continuity equation with =1,  =0.1 and z s =3 give …. The hard X-ray LF gives the greater number of AGN relics The number of relic at z=0 is greater than the number of relic at z s. BH growth mainly at z ≤ z s. At higher z BH have too little time to growth. The relic BHMF is substantially independent on z s, if z s >2.5. Solid line z=0, Dotted line z=z s, Dashed line only AGN with L >10 12 L 0 The higher mass BH today growth during the quasar phase (L>10 12 L 0 ). If <1, the BH can accrete more mass. The number of relic with high mass increases.

Comparison between local BH’s and AGN relics No correction for missing AGN population Relic BHMF corrected using hard X-ray LF and accounting for Compton Thick AGN ’ s EXCELLENT AGREEMENT! Local BH ’ s are AGN relics mainly grown during active phases of host galaxy Agreement obtained with ε = 0.1 and λ = 1 Merging processes not important (at least for z < 3)

Constraints from the X-ray Background It is possible to estimate the expected mass density of relic BH’s from XRB where The average redshift of X-ray sources emitting the XRB is… Perfectly consistent with the local estimate for  = 0.1 (consistency requires 0.07<  < 0.27)

Accretion efficiency and Eddington ratio Consider the average square deviation between the logarithms of local and relic BHMF ’ s Acceptance region (k 2 ≤ 1)  = 0.054, non-rotating Schwarzschild BH  = 0.42, maximally rotating Kerr BH Best values (k 2 = k 2 min ):  = 0.08, = 0.5 BH ’ s should be slowly rotating k 2 ≤ which corresponds to the “ canonical ” case ( ε = 0.1, λ = 1) 0.1 < λ < 1.7 BH ’ s grow during luminous accretion phases close to the Eddington limit

Growth and accretion history of massive BH’s Redshift dependence of ρ BH BH ’ s accretion proportional to star formation rate + feedback from AGN ’ s explain the observed correlations M BH -  and M BH - L bul with host galaxies Cosmic BH ’ s accretion rate

High mass BH’s grow earlier than low mass BH’s

The lifetime of active BH’s The active time is  ~ 1.5 ·10 8 yr M BH > 10 9 M o  ~ 4.5 ·10 8 yr M BH < 10 8 M o  ~ 10 9 yr smaller  and AGN’s which leave smaller relic masses need longer active phases Results in agreement with upper limit of 10 9 yr set by variability timescale

Summary Local BH’s are AGN relics mainly grown during active phases of host galaxy, in which accreting matter was converted into radiation with efficiencies ε = 0.04 – 0.16 at a fraction λ = 0.1 – 1.7 of the Eddington luminosity Merging processes are not important at redshift z < 3 BH’s growth is anti-hierarchical The average total lifetime of AGN’s active phases ranges between 10 8 and 10 9 yr depending on the BH mass Local BHMFRelic BHMF Consistent and in agreement with XRB constraints