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UV to Mid-IR SEDs of Low Redshift Quasars. Zhaohui Shang (Tianjin Normal University/University of Wyoming) Michael Brotherton, Danny Dale (University of Wyoming) Dean Hines (Space Science Institute). Xi’an Oct. 20, 2006. Quasar Spectral Energy Distributions (SED). - PowerPoint PPT Presentation
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UV to Mid-IR SEDs of Low Redshift Quasars
Zhaohui Shang(Tianjin Normal University/University of Wyoming)
Michael Brotherton, Danny Dale(University of Wyoming)
Dean Hines(Space Science Institute)
Xi’an Oct. 20, 2006
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
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., LBol=9λLλ(5100Å).
Recent Results from Spitzer (broad band – IRAC, MIPS)
• 13 high-redshift (z>4.5) 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
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 < 0.5• Quasi-simultaneous UV-optical spectra to reduce uncertainty from
variability• Rest wavelength coverage 1000 – 8000 Å, (some 900 – 9000 Å)
FUSE HST ground-based
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-opticalTotal 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 III]15.56 µm, [O IV]25.89 µm, ……
• Power-law between ~5-8 µm, and beyond
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
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 (z<0.4)• 1 micron inflexion
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 (z<0.4)• 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
Result 1 of 3: Spectral Energy Distributions (diversity)
Normalized at 5600 Å
Normalized at 8 µm
• Individual mid-IR spectral are different.
• Contribute differently to the bolometric luminosity(LMIR~8% to 30% of LBol, assuming LBol=9λLλ(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.
Result 1 of 3: Spectral Energy Distributions (radio-loud/quiet)
Normalized at 5600 Å Normalized at 8 µm
Small difference between radio-loud and radio-quiet
Result 2 of 3: Evidence of Intrinsic Reddening
Result 2 of 3: Evidence of Intrinsic Reddening (Is it real?)
• Correlation holds without the “outliers”.
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.
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.
Result 3 of 3: Eigenvector one (EV1) in Mid-IR
(Boroson & Green 1992)
Result 3 of 3: Eigenvector one (EV1) in Mid-IR
• Equivalent width of Silicates 10µm seems also to be a parameter of EV1.
• Consistent with the picture of covering factor.
r=0.64, p=1.0%
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.