UV to Mid-IR SEDs of Low Redshift Quasars - PowerPoint PPT Presentation

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UV to Mid-IR SEDs of Low Redshift Quasars

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Recent Results from Spitzer (broad band IRAC) ... Mid-IR SED from spectra (Spitzer IRS) Study emission features ... Spitzer IRS mid-IR spectra (rest frame ~5 ... – PowerPoint PPT presentation

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Title: UV to Mid-IR SEDs of Low Redshift Quasars


1
UV to Mid-IR SEDs of Low Redshift Quasars
Zhaohui Shang(Tianjin Normal University/Universit
y of Wyoming) Michael Brotherton, Danny
Dale(University of Wyoming) Dean Hines(Space
Science Institute)
Xian Oct. 20, 2006
2
Quasar Spectral Energy Distributions (SED)
  • Significant energy output over wide frequency
    range
  • Big blue bump (UV bump) strongest energy
    output
  • Infrared bump energy output comparable to UV
    bump
  • Important in determining the bolometric
    luminosity of quasars (AGNs)
  • Quasar SED (Elvis et al. 1994)
  • Infrared broad band photometry

3
Recent Results from Spitzer (broad band IRAC)
  • 259 SDSS quasars (Richards et al. 2006,
    astro-ph/0601558)
  • Overall SEDs consistent with the mean SEDs of
    Elvis et al. 1994
  • SED diversity leads to large uncertainty in
    determining bolometric luminosity if assuming
    mean SED, e.g., LBol9?L?(5100Å).

4
Recent Results from Spitzer (broad band IRAC,
MIPS)
  • 13 high-redshift (zgt4.5) quasars (Hines et al.
    2006, ApJ, 641, L85)
  • Consistent with SEDs of low-redshift quasars
    (Elvis et al. 1994)
  • Our project
  • Mid-IR SED from spectra (Spitzer IRS)
  • Study emission features
  • Add best data from other bands (e.g., X-ray)
  • Improve bolometric correction

5
Sample and Data (UV-optical)
  • Sample 1 22 PG quasars (Laor et al. 1994, Shang
    et al. 2003)
  • Sample 2 17 AGNs from FUSE UV-bright sample
    (Kriss 2000, Shang et al. 2005)
  • Z lt 0.5
  • Quasi-simultaneous UV-optical spectra to reduce
    uncertainty from variability
  • Rest wavelength coverage 1000 8000 Å, (some 900
    9000 Å)

FUSE
ground-based
HST
6
Sample and Data (Infrared)
  • Sample 1 22 PG quasars (Laor et al. 1994, Shang
    et al. 2003)
  • Sample 2 17 AGNs from FUSE UV-bright sample
    (Kriss 2000, Shang et al. 2005)
  • Spitzer IRS mid-IR spectra (rest frame 5-35 µm)
  • MIPS far-IR (24, 70, 160 µm) photometry (not
    used)
  • Available mid-IR spectra UV-optical
  • Total 15 objects (6 radio-loud, 9 radio-quiet)
  • Silicates features at 10 and 18 µm(Siebenmorgen
    et al. 2005, Sturm et al. 2005, Hao et al. 2005,
    Weedman et al. 2005)
  • Emission lines Ne III15.56 µm, O IV25.89 µm,
  • Power-law between 5-8 µm, and beyond

7
Results 1 of 3 Spectral Energy Distributions
  • Our sub-sample of 15 objects
  • Composite spectrum (UV optical mid-IR)
  • Normalized at 5600 Å
  • Clear Silicates features around 10 and 18 µm

8
Results 1 of 3 Spectral Energy Distributions
  • Our sub-sample of 15 objects
  • Composite spectrum (UV optical mid-IR)
  • Normalized at 5600 Å
  • Clear Silicates features around 10 and 18 µm
  • Near-IR composite spectrum (Glikman et al. 2006)
  • 27 AGNs (zlt0.4)
  • 1 micron inflexion

9
Result 1 of 3 Spectral Energy Distributions
  • Our sub-sample of 15 objects
  • Composite spectrum (UV optical mid-IR)
  • Normalized at 5600 Å
  • Clear Silicates features around 10 and 18 µm
  • Near-IR composite spectrum (Glikman et al. 2006)
  • 27 AGNs (zlt0.4)
  • 1 micron inflexion
  • Compared to the mean SEDs of Elvis et al. 1994
  • Normalized to UV-optical
  • Overall similar patterns
  • More details with emission features

10
Result 1 of 3 Spectral Energy Distributions
(diversity)
  • Individual mid-IR spectral are different.
  • Contribute differently to the bolometric
    luminosity(LMIR8 to 30 of LBol, assuming
    LBol9?L?(5100Å)
  • Bolometric luminosity estimate must take into
    account the diversity of the (mid-) infrared
    spectra.
  • Mid-IR spectra can help to improve the bolometric
    correction.

Normalized at 8 µm
Normalized at 5600 Å
11
Result 1 of 3 Spectral Energy Distributions
(radio-loud/quiet)
Normalized at 8 µm
Normalized at 5600 Å
Small difference between radio-loud and
radio-quiet
12
Result 2 of 3 Evidence of Intrinsic Reddening
13
Result 2 of 3 Evidence of Intrinsic Reddening
(Is it real?)
  • Correlation holds without the outliers.

14
Result 2 of 3 Evidence of Intrinsic Reddening
(is it real?)
  • Correlation holds without the outliers
  • Correlation is NOT caused by a correlation
    between spectral slope and the UV luminosity.
  • Show direct evidence of intrinsic dust reddening.
  • All quasars have intrinsic reddening (our sample
    is blue).
  • Mid-IR UV-optical info could lead to good
    estimate of intrinsic reddening.

15
Result 3 of 3 Eigenvector one (EV1) in Mid-IR
  • Our sub-sample of 15 objects
  • Composite spectrum (UV optical mid-IR)
  • Normalized at 5600 Å
  • Clear Silicates features around 10 and 18 µm

(Boroson Green 1992)
  • Strong anti-correlation between OIII and FeII
    emissions
  • Involve many other UV-optical, soft X-ray
    parameters.
  • May related to covering factor.
  • May be driven by Eddington Accretion ratio L/LEdd.

16
Result 3 of 3 Eigenvector one (EV1) in Mid-IR
(Boroson Green 1992)
17
Result 3 of 3 Eigenvector one (EV1) in Mid-IR
r0.64, p1.0
  • Equivalent width of Silicates 10µm seems also to
    be a parameter of EV1.
  • Consistent with the picture of covering factor.

18
Summary
  • We constructed the UV-optical and mid-IR
    composite spectra of low-redshift broad-line
    (type I) quasars from a sub-sample.
  • Unlike borad-band SEDs, the composites show
    detailed mid-IR features.
  • Mid-IR spectra needs to be considered in
    estimating a better bolometric luminosity.
  • All quasars seem to have intrinsic dust
    reddening.
  • Mid-IR and UV-optical information may be used to
    estimate the intrinsic reddening.
  • Silicates 10µm feature is a parameter in the
    Eigenvector 1 relationships.
  • This agrees with the UV-optical results.
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