1 / 36

Multi-wavelength AGN spectra and modeling

This research focuses on understanding the non-thermal emission from different types of Active Galactic Nuclei (AGN), including Blazars, Radio Galaxies, and Accretion Dominated AGN. The study involves analyzing multi-wavelength data and developing models to explain the observed spectra. The findings have implications for our understanding of the particle acceleration mechanisms and the role of jets in AGN.

ebaxter
Télécharger la présentation

Multi-wavelength AGN spectra and modeling

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. Multi-wavelength AGN spectra and modelingPaolo GiommiASI

  2. Microwave Optical Radio X-Ray g-Ray TeV Non-thermal emission AP-AGN (accretion onto SMBH) Radio Galaxies non-thermal emission Stars+Galaxies (black body)

  3. Accretion Dominated AGN (AD-AGN) • Radio-quiet QSO • Seyfert galaxies • Obscured AGN • about 90% of AGN • Non-Thermal Radiation Dominated AGN (NT-AGN) • Blazars (FSRQ + BLLACS) • Misdirected NT-AGN (Radio Galaxies, SSRQs) • about 10% of AGN AGN Types

  4. Blazars • AGN • Highly variable at all frequencies • Highly polarized • Radio core dominance • Superluminal speeds Observed at a small angle to the jet and therefore rare AGN : 5-8% of all AGN (but only at optical or X-ray frequencies!) Blazars are the dominant population of extragalactic point sources at • Gamma-ray • TeV • Microwave frequencies

  5. Normally the electromagnetic emission from blazars is assumed to be due to the Synchrotron-Self Compton mechanism (SSC) or SSC+External Component of a population of electrons in a jet of material that is moving at relativistic speed at a small angle with respect to the observer.

  6. g-ray g-ray Radio Radio TeV TeV Microwave Microwave Optical Optical X-ray X-ray LBL Objects LBL Objects UHBL Objects ? HBL Objects HBL Objects

  7. Swift/AGILE ToO observations of S5 0716+714 (Oct-Nov 2007) Giommi et al. 2008, A&A in press, arXiv:0806.1855

  8. Swift observations of 3C454.3during the giant flare of May 2005Giommi et al. 2006, A&A 456, 911

  9. XRT data BeppoSAX TeV dectected BL LacsTramacere et al. 2006 UVOT data SED of MRK 421 in 2005: large changes in luminosity and peak energy. SED of 1H1100 – 230 observed on 30 June (blue) and 13 July 2005 (red). BeppoSAX 1997 and 1998 data are shown as open symbols.

  10. TeV dectected BL Lacs SED of 1ES 1553+113 observed on 20 April (red), 6 Octobe (blue), and 8 October 2005 (green) SED of 1ES 1959+650 (19 April 2005)

  11. May 1999 MKN421 in a bright state: the BeppoSAX observation of May 2000 Massaro, Perri, Giommi, Nesci, 2004 A&A

  12. Log parabolic photon spectra can be explained as due to Synchrotron radiation from a log-parabolic particle distribution (Massaro et al. 2004a A&A 413, 489, 2004b, A&A 422,103) SSC from a log parabolic electron distribution (Massaro et al. 2005, in press)

  13. Spectral curvature observed around the Synchrotron peak is due to intrinsic curvature of emitting particle distribution SSC of a particle distribution distributed as a Log-Parabola implies intrinsic curvature around Inverse Compton peak leaving little room for curvature resulting from EBL absorption Absorption due to EBL could be significantly lower than previously thought Supported also by Aharonian et al. 2005 A&A 437, 395 Cut off energy in TeV spectrum of MKN421 (3.1TeV) lower than that of MKN501 (6.2 TeV), but redshift is very similar Aharonian et al. 2005 astro/ph 0508073 HESS detection of the “high redshift” Blazars: H2356-309 (z=0.165) and 1ES1101-232

  14. Swift observation of MKN421 in 2006Tramacere et al. 2008 in preparation

  15. WMAP bright foreground source catalog 208 bright sources, of which WMAP CMB fluctuation map • 140 FSRQs • 23 BL Lacs • 13 Radio galaxies • 5 Steep Spectrum QSOs • 2 starburst galaxies • 2 planetary nebule • 17 unidentified • 6 without radio counterpart • (probably spurious) The vast majority of bright WMAP foreground sources are Blazars

  16. Radio Galaxy PKS 0518-45 Radio Galaxy 3C 111 Fiocchi, Grandi et al. in preparation

  17. Boomerang 90 GHz CMB MAP De Bernardis et al. 2000

  18. PMN J0419-3010 PKS 0405-385 PKS 0521-365 PKS 0422-380 PKS 0537-441 PKS 0438-436 PKS 0454-463 PKS 0513-491l PKS 0539-543 PKS 0549-575 PKS 0252-549 PKS 0506-61 [Giommi & Colafrancesco 2003]

  19. 1RXS0531-3533 PKS 0548-317 PMN J0419-3010 PKS 0548-322 PKS 0435 -300 PKS 0534-340 1RXS0608-3041 PKS 0602-31 PKS 0439-331 PMN0510-3533 PKS 0610-316 PKS 0613-312 PKS 0448-392 PKS 0426-380 WGA 0428.2-3805 WGA 0624-3230 1RXS0432-3506 PMN J0525-3343 PKS 0443-387 PKS 0402-362 1RXS0606-3447 PMNJ0529-3555 PKS 0618-37 PKS 0532-378 1RXS0557-3728 PKS 0405-385 PKS 0558-396 PMN 0422-3844 PKS 0521-365 PKS 0422-380 1RXS0543-3956 WGA 0424-3849 PKS 0537-441 PKS 0524-460 1RXS0502-4221 PKS 0622-441 Pictor A PKS 0427-435 PKS 0646-437 RGal PKS 0518-45 PKS 0438-436 PKS 0514-459 PKS 0454-463 RXS J 0606-4730 PKS 0355-483 PKS 0524-485 PKS 0558-504 PKS 0257-51 PKS 0513-491l PKS 0431-512 WGA 0631-5404 PKS 0446-519 PKS 0452-515 PKS 0539-543 PKS 0549-575 PKS 0252-549 WGA 0533-5817 PKS 0506-61 [Giommi & Colafrancesco 2003]

  20. WMAP 035 = 3C345 WMAP 047 = CTA 102 WMAP 150 = Pictor A WMAP 190 = PKS 2153-69 WMAP 139 = PKS 0521-365 WMAP 067 = 3C371 WMAP 108 = 3C120 Nuclear compact radio emission WMAP SEDs

  21. The Blazar LogN-LogS

  22. Giommi & Colafrancesco 2003

  23. 2007 A&A, 468, 571 All microwave selected blazars are X-ray sources.

  24. <x> = -1.07 = 0.08 Number of WMAP sources detected at 94 GHz x Fromwave flux to X-rays and vice-versa f94GHz = f1keV•106.41 <x> f94GHz = 106.85•f1keV f94GHz = 7.1 • 106f1keV Effect of  3 variability • f94GHz= 10 0.086.41• f94GHz • f94GHz~ 3• f94GHz Microwave fluxes can be estimated from X-ray flux to within a factor  3 LBL Blazar contribution to soft CXB: 4%, total (LBL+HBL 12%)

  25. x Fixed at -waves From -wave to X-rays

  26. Hard-Xray/Soft Gamma-Ray Cosmic Background

  27. Contribution to the X and -ray backgrounds

  28. Radio —-ray flux ratio & duty cycle Define a slope/trend:

  29. Max EGRET Min EGRET

  30. 3C 279 scaled down by a factor 1000 (1milli 3C279) GLAST LAT Swift BAT Swift XRT Planck LFI+HFI Swift UVOT A ~10 mJy Blazar

More Related