J/ApJ/884/11  Exploring 6 AGN dusty torus models. II.  (Gonzalez-Martin+, 2019)
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Exploring the mid-infrared SEDs of six AGN dusty torus models.
II. The data.
    Gonzalez-Martin O., Masegosa J., Garcia-Bernete I., Ramos Almeida C.,
    Rodriguez-Espinosa J.M., Marquez I., Esparza-Arredondo D.,
    Osorio-Clavijo N., Martinez-Paredes M., Victoria-Ceballos C., Pasetto A.,
    Dultzin D.
   <Astrophys. J., 884, 11 (2019)>
   =2019ApJ...884...11G
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ADC_Keywords: Active gal. nuclei; Models; Spectra, infrared; X-ray sources;
              Galaxies, Seyfert; Interstellar medium; Extinction
Keywords: Active galactic nuclei ; Infrared astronomy ; Dust continuum emission

Abstract:
    This is the second in a series of papers devoted to exploring a set of
    six dusty models of active galactic nuclei (AGN) with available
    spectral energy distributions. These models are the smooth torus by
    Fritz+ (2006MNRAS.366..767F), the clumpy torus by
    Nenkova+ (2008ApJ...685..147N and 2008ApJ...685..160N), the clumpy
    torus by Honig & Kishimoto (2010A&A...523A..27H), the two-phase torus
    by Siebenmorgen+ (2015A&A...583A.120S), the two-phase torus by
    Stalevski+ (2012MNRAS.420.2756S and 2016MNRAS.458.2288S), and the wind
    model by Honig & Kishimoto (2017ApJ...838L..20H). The first paper
    explores discrimination among models and the parameter restriction
    using synthetic spectra. Here we perform spectral fitting of a sample
    of 110 AGN drawn from the Swift/BAT survey with Spitzer/IRS
    spectroscopic data. The aim is to explore which is the model that
    describes better the data and the resulting parameters. The clumpy
    wind-disk model by Honig & Kishimoto provides good fits for ~50% of
    the sample, and the clumpy torus model by Nenkova+ is good at
    describing ~30% of the objects. The wind-disk model by Honig &
    Kishimoto is better for reproducing the mid-infrared spectra of type 1
    Seyferts (with 60% of the type 1 Seyferts well reproduced by this
    model compared to the 10% well represented by the clumpy torus model
    by Nenkova+), while type 2 Seyferts are equally fitted by both models
    (roughly 40% of the type 2 Seyferts). Large residuals are found
    irrespective of the model used, indicating that the AGN dust continuum
    emission is more complex than predicted by the models or that the
    parameter space is not well sampled. We found that all the resulting
    parameters for our AGN sample are roughly constrained to 10%-20% of
    the parameter space. Contrary to what is generally assumed, the
    derived outer radius of the torus is smaller (reaching up to a factor
    of ~5 smaller for 10pc tori) for the smooth torus by Fritz+ and the
    two-phase torus by Stalevski+ than the one derived from the clumpy
    torus by Nenkova+ Covering factors and line-of-sight viewing angles
    strongly depend on the model used. The total dust mass is the most
    robust derived quantity, giving equivalent results for four of these
    models.

Description:
    We built an AGN sample with available low spectral resolution
    mid-infrared IRS/Spitzer spectra to confront with models.

    We based our sample on the 105-month Swift/BAT survey
    (Oh+ 2018, J/ApJS/235/4). Among 447 AGN selected from the Swift/BAT
    survey, we found Spitzer/IRS observations for 110 AGN.

File Summary:
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 FileName    Lrecl  Records   Explanations
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ReadMe          80        .   This file
table1.dat      49      110   Observational details of the AGN sample
table4.dat     262      660   Spectral fits for the AGN sample
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See also:
 J/ApJ/666/806  : SED of Spitzer quasars (QUEST) (Netzer+, 2007)
 J/ApJ/656/770  : Mid-IR spectrum of star-forming galaxies (Smith+, 2007)
 J/A+A/558/A149 : VLTI/MIDI AGN Large Program observations (Burtscher+, 2013)
 J/A+A/578/A74  : Nuclear obscuration in LINERs (Gonzalez-Martin+, 2015)
 J/ApJ/803/109  : Spitzer/IRS decompositon of AGN (Hernan-Caballero+, 2015)
 J/A+A/583/A120 : AGN torus models. SED library (Siebenmorgen+, 2015)
 J/ApJ/822/109  : MIR view of polar dust emission in local AGNs (Asmus+, 2016)
 J/ApJ/841/37   : Tori in AGNs through Spitzer/IRS obs. (Gonzalez-Martin+, 2017)
 J/ApJS/235/4   : The 105-month Swift-BAT all-sky hard X-ray survey (Oh+, 2018)

Byte-by-byte Description of file: table1.dat
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   Bytes Format Units  Label    Explanations
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   1-  3 I3     ---    Seq      [1/110] Sequential running number identifier
   5- 26 A22    ---    Name     Object Name
  28- 32 F5.1   Mpc    Dist     [3.8/168.6] Distance
  34- 36 F3.1   kpc    Scale    [0.1/2.9] Spatial scale obtained with the
                                 short-low Spitzer/IRS spectral module
  38- 43 A6     ---    Type     AGN optical class (1)
  45- 49 F5.2   [Lsun] logLx    [40.8/44.5] Log of Swift BAT 14-195keV
                                 intrinsic X-ray luminosity
                                 (Oh+ 2018, J/ApJS/235/4)
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Note (1): AGN type from Oh+ 2018, J/ApJS/235/4 as follows:
   B. AGN = beamed AGN: jet closely oriented toward the line of sight to
             the observer (8 occurrences)
   Sy1    = Seyfert 1 (5 occurrences)
   Sy1.2  = Seyfert 1.2 (13 occurrences)
   Sy1.5  = Seyfert 1.5 (17 occurrences)
   Sy1.8  = Seyfert 1.8 (1 occurrences)
   Sy1.9  = Seyfert 1.9 (24 occurrences)
   Sy2    = Seyfert 2 (42 occurrences)
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Byte-by-byte Description of file: table4.dat
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   Bytes Format Units    Label     Explanations
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  1-  22 A22    ---      Name      Object Name
 24-  26 A3     ---      Model     Model Name (1)
      28 I1     ---      Class     [0/2] Classification (2)
 30-  34 F5.1   %        pAGN      [1.1/100] AGN model contribution (3)
 36-  39 F4.1   %        pStellar  [0/70] Stellar model contribution (3)
 41-  44 F4.1   %        pISM      [0/98.6] ISM model contribution (3)
 46-  51 F6.2   ---      chi2      [0.39/192.6] Reduced {chi}^2^ ({chi}^2^/dof)
 53-  58 F6.1   mag      E(B-V)    [0/10.2]?=-999.9 Color excess for the
                                    foreground extinction
 60-  65 F6.1   mag    b_E(B-V)    [0/10.1]?=-999.9 E(B-V) Lower confidence
                                    interval on E (B-V)
 67-  70 F4.1   mag    B_E(B-V)    [0/10.4] E(B-V) Upper confidence interval
                                    on E (B-V)
 72-  78 F7.2   ---      P1        [0.2/89.5]?=-999.9 Model Parameter 1 (4)
 80-  86 F7.2   ---    b_P1        [0/90]?=-999.9 Lower bound on confidence
                                    interval or limit on P1 (5)
 88-  94 F7.2   ---    B_P1        [0/89.7]?=-999.9 Upper bound on confidence
                                    interval or limit on P1 (5)
 96- 102 F7.2   ---      P2        [1.3/78.3]?=-999.9 Model Parameter 2 (4)
104- 110 F7.2   ---    b_P2        [1.1/80]?=-999.9 Lower bound on
                                    confidence interval or limit on P2 (5)
112- 118 F7.2   ---    B_P2        [1/78.7]?=-999.9 Upper bound on confidence
                                    interval or limit on P2 (5)
120- 126 F7.2   ---      P3        [-2.93/76.3]?=-999.9 Model Parameter 3 (4)
128- 134 F7.2   ---    b_P3        [-2.94/77.7]?=-999.9 Lower bound on
                                    confidence interval or limit on P3 (5)
136- 142 F7.2   ---    B_P3        [-3/77]?=-999.9 Upper bound on confidence
                                    interval or limit on P3 (5)
144- 150 F7.2   ---      P4        [-1.92/237]?=-999.9 Model Parameter 4 (4)
152- 158 F7.2   ---    b_P4        [-1.93/999]?=-999.9 Lower bound on
                                    confidence interval or limit on P4 (5)
160- 166 F7.2   ---    B_P4        [-2/262]?=-999.9 Upper bound on
                                    confidence interval or limit on P4 (5)
168- 174 F7.2   ---      P5        [0.3/143.2]?=-999.9 Model Parameter 5 (4)
176- 182 F7.2   ---    b_P5        [0.1/149.3]?=-999.9 Lower bound on
                                    confidence interval or limit on P5 (5)
184- 190 F7.2   ---    B_P5        [0/149.5]?=-999.9 Upper bound on confidence
                                    interval or limit on P5 (5)
192- 198 F7.2   ---      P6        [-2.3/195.5]?=-999.9 Model Parameter 6 (4)
200- 206 F7.2   ---    b_P6        [-2.4/289.1]?=-999.9 Lower bound on
                                    confidence interval or limit on P6 (5)
208- 214 F7.2   ---    B_P6        [-2.5/224.3]?=-999.9 Upper bound on
                                    confidence interval or limit on P6 (5)
216- 222 F7.2   ---      P7        [0.2/0.41]?=-999.9 Model Parameter 7 (4)
224- 230 F7.2   ---    b_P7        [0.17/0.5]?=-999.9 Lower bound on
                                    confidence interval or limit on P7 (5)
232- 238 F7.2   ---    B_P7        [0.1/0.45]?=-999.9 Upper bound on
                                    confidence interval or limit on P7 (5)
240- 246 F7.2   ---      P8        [0.18/0.7]?=-999.9 Model Parameter 8 (4)
248- 254 F7.2   ---    b_P8        [0.16/0.7]?=-999.9 Lower bound on
                                    confidence interval or limit on P8 (5)
256- 262 F7.2   ---    B_P8        [0.19/0.74]?=-999.9 Upper bound on
                                    confidence interval or limit on P8 (5)
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Note (1): Model names as follows:
    F06 = Smooth toroidal model, Fritz+ (2006MNRAS.366..767F);
    N08 = Clumpy toroidal model, Nenkova+ (2008ApJ...685..160N);
    H10 = Clumpy toroidal model, Honig & Kishimoto (2010A&A...523A..27H);
    S15 = Two phase (clumpy+smooth) toroidal model,
           Siebenmorgen+ (2015A&A...583A.120S);
    S16 = Two phase (clumpy+smooth) toroidal model,
           Stalevski+ (2016MNRAS.458.2288S);
    H17 = Clumpy disk and outflowing model,
           Honig & Kishimoto (2017ApJ...838L..20H);
Note (2): Classification of AGN and fits as follows:
    1 = AGN dominated spectrum (314 occurrences);
    2 = AGN dominated spectrum and comparably good fit,
        {chi}^2^/dof<min({chi}^2^/dof)+0.5 (124 occurrences).
Note (3): Contributions are the percentage contribution to the 5-30um
    waveband per component, AGN, Stellar, ISM.
Note (4): Parameter listing, by Model --
   -----------------------------------------------------------------------------
    Model:  P1  P2      P3      P4        P5          P6           P7    P8
   -----------------------------------------------------------------------------
    F06:    i   sigma   Gamma   beta      Y           tau_9.7um_   null  null
    N08:    i   N_0_    sigma   Y         q           tau_v_       null  null
    H10:    i   N_0_    theta   a         tau_cl_     null         null  null
    S15:    i   R_in_   eta     tau_cl_   tau_disk_   null         null  null
    S16:    i   sigma   p       q         Y           tau_9.7um_   null  null
    H17:    i   N_0_    a       sigma     theta       a_w_         h     f_w_
   -----------------------------------------------------------------------------
Note (5): When only an upper bound on the confidence interval is given for
    a parameter and the lower bound and parameter values are null (-999.9)
    the upper bound is an upper limit; when only a lower bound is given, it
    is a lower limit.
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History:
    From electronic version of the journal

References:
    Gonzalez-Martin et al.   Paper I.   2019ApJ...884...10G

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(End)                   Prepared by [AAS], Emmanuelle Perret [CDS]   17-Mar-2021
