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Title

Investigating the sensitivity of observed spectral energy distributions to clumpy torus properties in Seyfert galaxies

AuthorsAlonso-Herrero, A. ; Levenson, N.; Asensio Ramos, A.; Rodríguez-Espinosa, J. M.; González-Martín, Omaira ; Packham, Christopher; Martínez, M.; Ramos-Almeida, Cristina
Issue Date2014
PublisherOxford University Press
Royal Astronomical Society
CitationMonthly Notices of the Royal Astronomical Society 439(4): 3847-3859 (2014)
AbstractWe present nuclear spectral energy distributions (SEDs) from 1 to 18 μm of a small sample of nearby, nearly face-on and undisturbed Seyfert galaxies without prominent nuclear dust lanes. These nuclear SEDs probe the central ~35 pc of the galaxies, on average, and include photometric and spectroscopic infrared (IR) data.We use these SEDs, the clumpy torus models of Nenkova et al. and aBayesian approach to study the sensitivity of different IRwavelengths to the torus parameters.We find that high angular resolution 8-13 μm spectroscopy alone reliably constrains the number of clumps and their optical depth (N0 and Τ V). On the other hand, we need a combination of mid-and near-IR subarcsecond resolution photometry to constrain torus width and inclination, as well as the radial distribution of the clouds (σ, i and q). For flat radial profiles (q = 0, 1), it is possible to constrain the extent of the mid-IR-emitting dust within the torus (Y) when N-band spectroscopy is available, in addition to near-IR photometry. Finally, by fitting different combinations of average and individual Seyfert 1 and Seyfert 2 data, we find that, in general, for undisturbed, nearly face-on Seyferts without prominent nuclear dust lanes, the minimum combination of data necessary to reliably constrain all the torus parameters is J+K+M-band photometry + N-band spectroscopy. © 2014 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society.
Publisher version (URL)http://dx.doi.org/10.1093/mnras/stu235
URIhttp://hdl.handle.net/10261/110543
DOI10.1093/mnras/stu235
Identifiersdoi: 10.1093/mnras/stu235
e-issn: 1365-2966
issn: 0035-8711
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