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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.

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Presentation on theme: "UV to Mid-IR SEDs of Low Redshift Quasars Zhaohui Shang (Tianjin Normal University/University of Wyoming) Michael Brotherton, Danny Dale (University of."— Presentation transcript:

1 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

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., L Bol =9λL λ (5100Å).

4 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

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 < 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

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 III ]15.56 µm, [O IV ]25.89 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 (z<0.4) 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 (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

10 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 (L MIR ~8% to 30% of L Bol, assuming L Bol =9λL λ (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.

11 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

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/L Edd.

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 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%

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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