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2018

Publication Year

2020-09-29T11:02:15Z

Acceptance in OA@INAF

Orientation effects on quasars SED: the torus IR emission

Title

Bisogni, Susanna; Marconi, Alessandro; Risaliti, G.; Lusso, E.

Authors

10.5281/zenodo.1472717

DOI

http://hdl.handle.net/20.500.12386/27524

Handle

13

Number

(2)

Orientation effects on quasars SED

The torus IR emission

Susanna Bisogni

UniFi - INAF-OA Arcetri - CfA

In collaboration with:

Alessandro Marconi

Guido Risaliti

Elisabeta Lusso

(3)

The longstanding problem

(4)

L

[OIII]

ISOTROPIC

L

DISK

obs

= L

DISK

int

cos #

NLR

Accretion disk

#

Risaliti, Salvati, Marconi 2011

EW

[OIII]

/ f(#)

Susanna Bisogni, AGN13 Milano 9-12 October 2018

(5)

EW[OIII] as an orientation indicator

FLUX-LIMITED

sample

Bisogni, Marconi, Risaliti 2017

dN

d(EW

oss

)

/ EW

3.5

oss

~ 12000 blue objects

SDSS DR7

(6)

EW[OIII] as an orientation indicator

Bisogni, Marconi, Risaliti 2017

• 

Low EW[OIII]

! Mostly face-on sources

• 

High EW[OIII]

à Edge-on sources

(7)

EW[OIII] vs Broad Lines EW

Susanna Bisogni, AGN13 Milano 9-12 October 2018

• 

Low EW[OIII]

! Mostly face-on sources

• 

High EW[OIII]

à Edge-on sources

• 

BLR ! disk-shaped

(8)

EW[OIII] and optical spectral features

>12000 blue objects

from SDSS DR7

Susanna Bisogni, AGN13 Milano 9-12 October 2018

(9)

EW[OIII] and narrow lines

low

EW[OIII]

high

EW[OIII]

Susanna Bisogni, AGN13 Milano 9-12 October 2018

(10)

EW[OIII] and broad lines

v

int

#

high

EW[OIII]

low

EW[OIII]

Susanna Bisogni, AGN13 Milano 9-12 October 2018

v

obs

v

obs

= v

int

sin #

(11)

EW[OIII] and broad lines

Bisogni, Marconi, Risaliti 2017

(12)

EW[OIII] and IR SED

Susanna Bisogni, AGN13 Milano 9-12 October 2018

(13)

EW[OIII] and IR SED

(14)

EW[OIII] and SED of quasars: the data

Susanna Bisogni, AGN13 Milano 9-12 October 2018

10

14

10

15

ν[H]]

1

νL

ν

[

H

rg

s

1

]

15 μ

15 μ

15 μ

15 μ

15 μ

15 μ

(1 − 6)Å (6 − 12)Å (12 − 25)Å (25 − 50)Å (50 − 100)Å (100 − 250)Å

Mid - Near Infrared

Optical

UV

GALEX, SDSS, 2MASS, WISE photometric data

>12000 blue objects

from SDSS DR7

(15)

EW[OIII] and IR SED: the data

10

14

10

15

⌫[Hz]

1

L

[erg

s

1

]

15 µm

4 µm

15 µm

4 µm

15 µm

4 µm

15 µm

4 µm

15 µm

4 µm

15 µm

4 µm

(1

6)˚

A

(6

12)˚

A

(12

25)˚

A

(25

50)˚

A

(50

100)˚

A

(100

250)˚

A

4

6

10

20

[µm]

0.6

1

f

[erg

cm

2

s

1

]

15 µm

Susanna Bisogni, AGN13 Milano 9-12 October 2018

Mid - Near Infrared

Optical

UV

(16)

EW[OIII] and IR SED: the data

Susanna Bisogni, AGN13 Milano 9-12 October 2018

larger family of angular distributions of the formNT(!)¼

N0exp (" !/"j jm), with m a free parameter. In this family, m¼ 2

is the Gaussian, and as m increases the transition region around

!¼ " becomes steeper. Generally, ‘‘softer’’ distributions with

mP 10 show behavior similar to the Gaussian, while those with

larger m produce results similar to the sharp-edge geometry. The SED dichotomy produced by sharp boundaries conflicts with observations. Alonso-Herrero et al. (2003) studied the 0.4 Y

16#m nuclear emission from a complete sample of 58 Seyfert

galaxies, selected from the CfA sample. In a comparison with theoretical models, Alonso-Herrero et al. (2003) point out that a common prediction of all smooth-density models is a dichotomy of SED between type 1 and 2, similar to the one displayed in Figure 3 (top), and that such a dichotomy is not observed in their sample; the dichotomy is present even in model geometries with

soft edges because the exp ("$) attenuation factor varies rapidly,

resulting in a sharp transition around$# 1 between dusty and

dust-free viewing. As is evident from Figure 3 (bottom), this SED dichotomy problem is solved by soft-edge clumpy tori. Therefore, in the following we consider only Gaussian angular distributions.

3.2. Observations and Model Parameters

As discussed in the Introduction, torus IR observations are hampered by uncertainties that are partially alleviated by consid-ering composite spectra. Figure 4 shows compilations of type 1 and type 2 data and some representative models, updating a sim-ilar figure presented in Nenkova et al. (2002). The type 1 data

additionally include the recent Spitzer composite spectra from Hao et al. (2007) and Netzer et al. (2007). The close agreement

between these two SEDs in their common spectral region,k ¼

5Y38#m, indicates that they may have captured the torus

emis-sion in outline, if not in details. The upturn around 60#m in the

Netzer et al. spectrum likely reflects the transition to starburst dominance. To ensure the smallest possible apertures in type 2 sources, the data for individual objects are mostly limited to ground-based and Hubble Space Telescope observations. The data in both panels of this figure display the general character-istics that have to be reproduced by the same models in pole-on and edge-on viewing. The updated models plotted with the data differ from the original ones in Nenkova et al. (2002) in three significant ways: (1) the optical properties of the silicate com-ponent of the dust are taken from the tabulation for ‘‘cool’’ sili-cates in Ossenkopf et al. (1992) instead of the Draine & Lee (1984) dust; (2) the clouds angular distribution is Gaussian rather than sharp edged; and (3) the torus radial thickness Y is 30 instead of 100. As is evident from the figure, the model spectra are gen-erally in reasonable agreement with the data.

We produced a large number of models for various

param-eter sets,4and we now present model results and discuss their

Fig. 3.— Model spectra for a torus of clouds, each with optical depth$V¼ 60.

Radial distribution with q¼ 1 out to Y ¼ 30, with N0¼ 5 clouds along radial

equatorial rays (see eq. [2]). The angular distribution is sharp edged in the top panel, and Gaussian in the bottom one (cf. Fig. 1); both have a width parameter "¼ 45$. Different curves show viewing angles that vary in 10$steps from pole-on

(i¼ 0$) to edge-on (i¼ 90$). Fluxes scaled with F

AGN¼ L/4%D2.

Fig. 4.— Observations of type 1 and type 2 sources compared with clumpy torus model spectra. The type 1 composite data are from Sanders et al. (1989), Elvis et al. (1994), Hao et al. (2007), and Netzer et al. (2007). The type 2 data are from the following sources: (a) Mason et al. (2006); (b) various observations with aperture%0.500listed in Mason et al. (2006); (c) Alonso-Herrero et al. (2003); and

(d ) Prieto et al. (2004). In the model calculations, plotted with broken lines, each cloud has optical depth$V¼ 30. Other parameters are " ¼ 30$, q¼ 0Y3, as

marked, Y¼ 30, and N0¼ 5. The angular distribution in this and all subsequent

figures is Gaussian. The models in the top panel are for pole-on viewing (i¼ 0$),

and those in the bottom panel are for edge-on viewing (i¼ 90$).

4 Tabulations of all the models discussed here, as well as many additional

cases, are available at http://www.pa.uky.edu /clumpy/.

AGN DUSTY TORI. II. OBSERVATIONAL IMPLICATIONS 163

No. 1, 2008

Nenkova et al.(2008)

10

1

4 × 10

0

6 × 10

0

2 × 10

1

λ[μm]

10

0

6 × 10

−1

λ

f

λ

[

e

rg

c

m

2

s

1

]

15 μ 15 μ 15 μ 15 μ 15 μ 15 μ (1 − 6)Å (6 − 12)Å (12 − 25)Å (25 − 50)Å (50 − 100)Å (100 − 250)Å

low

EW[OIII]

high

EW[OIII]

(17)

Susanna Bisogni, AGN13 Milano 9-12 October 2018

SED fitting

11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0

rest-frame log ⌫[Hz]

1044 1045 1046

L

(⌫

)[

erg

s

1

]

ID=6, z =0.649809

100.0 10.0

[µm]

1.0 0.1

SED fitting with

AGNfitter

(18)

Susanna Bisogni, AGN13 Milano 9-12 October 2018

SED fitting

11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0

rest-frame log ⌫[Hz]

1044 1045 1046

L

(⌫

)[

erg

s

1

]

ID=6, z =0.649809

100.0 10.0

[µm]

1.0 0.1

SED fitting with

AGNfitter

Calistro-Rivera et al.(2016)

10

13

10

14

10

15

10

16

⌫[Hz]

10

3

10

2

10

1

10

0

L

[arbitrary

units]

✓ = 10 ✓ = 20 ✓ = 30 ✓ = 40 ✓ = 50 ✓ = 60 ✓ = 70 ✓ = 80 ✓ = 90

Torus templates from CLUMPY

library (>10

6

templates)

Nenkova et al. (2008)

Nikutta et al. (2009)

r

q

e

| / |

m

N

0

V

Y = R

0

/R

d

;

;

;

;

#

(19)

Susanna Bisogni, AGN13 Milano 9-12 October 2018

Results

(20)

Susanna Bisogni, AGN13 Milano 9-12 October 2018

Results

3.5

µ

m

20

µ

m

(21)

Susanna Bisogni, AGN13 Milano 9-12 October 2018

Results

Mostly face-on à

(22)

Susanna Bisogni, AGN13 Milano 9-12 October 2018

(23)

Susanna Bisogni, AGN13 Milano 9-12 October 2018

A missing component?

Shangguan et al. 2018

Mor et al. 2009-2011, Deo et al. 2011,

Mor & Netzer 2012, Garcia-Gonzalez et

al. 2017, Hoenig & Kishimoto 2017. . .

Hot dust Black Body T~1000-1900 K

(24)

Susanna Bisogni, AGN13 Milano 9-12 October 2018

Conclusions

• 

Connect emissions shape to geometry

! morphological study of unresolved, inner regions

Knowing source orientation allows us to:

• 

Correct virial mass estimates for non edge-on sources

M

= f

v

2

int

R

BLR

G

= f

(

v

oss

sin i

)

2

R

BLR

G

v

int

#

v

obs

!

optical:

!

IR:

• 

Further analysis is needed to disentangle the torus contribution

• 

Data in agreement with models in literature:

(25)
(26)

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