1 / 56

Black Holes in    Deep Surveys

Black Holes in    Deep Surveys. Meg Urry Yale University. The formation and evolution of galaxies is closely tied to the growth of black holes.  Cosmic accretion (AGN) important for galaxy formation for black hole physics for understanding ionization, backgrounds, etc.

abram
Télécharger la présentation

Black Holes in    Deep Surveys

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Black Holes in Deep Surveys Meg Urry Yale University

  2. The formation and evolution of galaxies is closely tied to the growth of black holes •  Cosmic accretion (AGN) important • for galaxy formation • for black hole physics • for understanding ionization, backgrounds, etc.

  3. Cosmic Accretion • Opticallyselected quasars not representative, do not fairly sample cosmic accretion • Need less biased surveys

  4. Supermassive black holeslikelyobscuredby gas and dust: • Local AGN Unification • More likely in early Universe (“Grand Unification”) • Explains hard X-ray “background”

  5. Supermassive black holeslikelyobscuredby gas and dust: • Local AGN Unification • More likely in early Universe (“Grand Unification”) • Explains hard X-ray “background”

  6. Supermassive black holeslikelyobscuredby gas and dust: • Local AGN Unification • More likely in early Universe (“Grand Unification”) • Explains hard X-ray “background”

  7. X-Ray “background” spectrum (superposition of unresolved AGN)is very hard Courtesy Brusa, Comastri, Gilli, Hasinger

  8. unabsorbed AGN spectrum Increasing NH

  9. Deep Surveys for Obscured Accretion • Hard X-rays penetrate most obscuration • Energy re-radiated in infrared • High resolution optical separates host galaxy

  10. Chandra HST Spitzer

  11. GOODS Survey Deep Origins Observatories Great

  12. GOODS designed to find obscured AGN out to the quasar epoch, z2-3 Spitzer Legacy, HST Treasury, Chandra Deep Fields Dickinson, Giavalisco, Giacconi, Garmire

  13. MUSYC Chile Yale & Survey by MUltiwavelength Gawiser, van Dokkum, CMU, Lira, Maza

  14. Extended Chandra Deep Field South Do GOODS/MUSYC/surveys reveal hidden populations of obscured AGN? Virani et al. 2006, Lehmer et al. 2006

  15. HST ACS color image (0.3% of GOODS)

  16. HST+Spitzer color image (0.3% of GOODS)

  17. Understanding AGN Demographics Quantitatively • Model X-ray spectrum • constrain N(L,z,NH) w XRBG spectrum, N(Sx), N(z) OR • Model full SED • constrain N(L,z,NH) w XRBG spectrum, N(Sx), N(z), plus N(Sopt), N(SIR), … Also, can assess selection effects in any filter or spectroscopy

  18. Createensemble ofAGN, with continuous range of obscuration, correct SEDs for Unification (model),known luminosity distribution, known cosmic evolution Generate expected survey content at X-ray, Optical, Infrared, or any wavelengths,as function of flux and redshift Compare to dataGOODS, MUSYC,SEXSI, SWIRE, CLASXS, H2XMM, AMSS, GROTH, Lockman, Champ, …

  19. HardX-ray LF & LDDE evolutionfor Type 1 AGN Ueda et al. 2003 Grid ofAGN spectra (LX,NH) with SDSS quasar spectrum (normalized to X-ray) dust/gas absorption (optical/UV/soft X-ray) infrared dust emission Nenkova et al. 2002, Elitzur et al. 2003 L* host galaxy NH distribution corresponding to torus geometry (matches obs) obscured AGN = 3 x unobscured (matches local obs) No dependence on z (for now) Simple linear dependence on luminosity (matches obs) Assumptions Ezequiel Treister, CMU, Jeffrey van Duyne, Brooke Simmons, Eleni Chatzichristou (Yale U.), David Alexander, Franz Bauer, Niel Brandt (Penn State U.), Anton Koekemoer, Leonidas Moustakas (STScI), Jacqueline Bergeron (IAP), Ranga-Ram Chary (SSC), Christopher Conselice (Caltech), Stefano Cristiani (Padova), Norman Grogin (JHU) 2004,ApJ, 616, 123 Also Treister et al. 2005, 2006a, 2006b, 2007

  20. Dust emission models from Nenkova et al. 2002, Elitzur et al. 2003 • Simplest dust distribution that satisfies • NH = 1020 – 1024 cm-2 • 3:1 ratio (divided at 1022 cm-2) • Random angles  NH distribution

  21. Treister et al. 2004

  22. Treister et al. 2004

  23. Results • Match optical counts, N(z) • 50% AGN not in CDFs • MatchX-ray background • MatchIR counts • AGN are low % of IR EBL • Integral & Swift surveys for Compton-thick AGN • Number of Compton-thick AGN may be lower than assumed • Gives limit on reflection, accretion efficiency • Meta-analysis  obs/unobs ratio increases with z

  24. GOODS N+S Treister et al. 2004

  25. redshifts of Chandra deep X-ray sources GOODS-N Treister et al. 2004 Barger et al. 2002,3, Hasinger et al. 2002, Szokoly et al. 2004

  26. redshifts of Chandra deep X-ray sources GOODS-N Treister et al. 2004 Barger et al. 2002,3, Hasinger et al. 2002, Szokoly et al. 2004

  27. Results • Match optical counts, N(z) • 50% AGN not in CDFs • Match X-ray background • MatchIR counts • AGN are low % of IR EBL • Integral & Swift surveys for Compton-thick AGN • Number of Compton-thick AGN may be lower than assumed • Gives limit on reflection, accretion efficiency • Meta-analysis  obs/unobs ratio increases with z

  28. X-ray background synthesis Treister et al. 2005

  29. X-ray background synthesis Treister et al. 2005

  30. X-ray background synthesis Treister et al. 2005

  31. Results • Match optical counts, N(z) • 50% AGN not in CDFs • MatchX-ray background • Match IR counts • AGN are low % of IR EBL • Integral & Swift surveys for Compton-thick AGN • Number of Compton-thick AGN may be lower than assumed • Gives limit on reflection, accretion efficiency • Meta-analysis  obs/unobs ratio increases with z

  32. Near & mid-IR Spitzer counts Treister et al. 2005

  33. Infrared “Background” Total AGN contribution to EBL <10% Treister et al. 2005

  34. Results • Match optical counts, N(z) • 50% AGN not in CDFs • MatchX-ray background • MatchIR counts • AGN are low % of IR EBL • Integral & Swift surveys for Compton-thick AGN • Number of Compton-thick AGN may be lower than assumed • Gives limit on reflection, accretion efficiency • Meta-analysis  obs/unobs ratio increases with z

  35. X-Ray “Background” Spectrum 100 60 40 20 10 6 4 E F(E) [keV2 cm2 s1 keV1 str1] • 5 10 50 100 500 Energy (keV) Treister & Urry 2005

  36. 10 1 Treister et al. (2007) 3 1 # of Compton Thick AGN Integral & SWIRE 1 3 0 0.2 0.4 0.6 0.8 1 Normalization of Reflection Component

  37. 10 8 6 4 2 Treister et al. (2007) Local Black Hole Mass Density (105 Mo Mpc3) Marconi et al. (2004) Shankar et al. (2004) 0 0.2 0.4 0.6 0.8 1 Normalization of Reflection Component

  38. Results • Match optical counts, N(z) • 50% AGN not in CDFs • MatchX-ray background • MatchIR counts • low AGN % of IR EBL • Integral & Swift surveys for Compton-thick AGN • Number of Compton-thick AGN may be lower than assumed • Gives limit on reflection, accretion efficiency • Meta-analysis obs/unobs ratio increases with z

  39. 7 surveys 2341 AGN 1229 with z BL=unobscured NL=obscured Area as function of X-ray flux & optical mag Treister & Urry 2006b

  40. Treister & Urry 2006b

  41. Treister & Urry 2006b

  42. Black Hole Accretion • Obscured AGN dominate at 0<z<2 • Obscuration decreases w luminosity • Obscuration increases w redshift • Explains X-ray “background” &  surveys • True z-distr does peak at z>1 (incomplete spectra) • Limits on Compton Thick AGNintegral, swift, spitzer • High degree of Compton reflection • to match observed low #s of CT AGN • to avoid overproducing local BH density • Total bolometric AGN light < 10% of extragalactic light (mostly stars) • Compare to local BH mass • efficiency of accretion, 0.1-0.2, where =L/mc2 

  43. Carie Cardamone Shanil ViraniJeff van DuyneBrooke SimmonsEzequiel Treister (PhD 2005) Jonghak Woo (PhD 2005)Matt O’Dowd (PhD 2004)Yasunobu UchiyamaEleni Chatzichristou Graduate students: Postdocs:

  44. Luminosity-dependent density evolution 1042-3 ergs/s 1043-4 ergs/s 1044-5 ergs/s 1045-6 ergs/s >1046 ergs/s Hasinger et al. 2005

  45. AGN SEDs in GOODS Objects with hard (absorbed) X-ray spectra: (weak) AGNor galaxy in optical luminous thermal infrared emission Van Duyne et al. 2007

  46. Van Duyne et al. 2007

  47. Van Duyne et al. 2007

  48. Van Duyne et al. 2007

More Related