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arXiv · 1510.02631

A mid-infrared spectroscopic atlas of local active galactic nuclei on sub-arcsecond resolution using GTC/CanariCam

Abstract

We present an atlas of mid-infrared (mid-IR) ~7.5-13micron spectra of 45 local active galactic nuclei (AGN) obtained with CanariCam on the 10.4m Gran Telescopio CANARIAS (GTC) as part of an ESO/GTC large program. The sample includes Seyferts and other low luminosity AGN (LLAGN) at a median distance of 35Mpc and luminous AGN, namely PG quasars, (U)LIRGs, and radio galaxies (RG) at a median distance of 254Mpc. To date, this is the largest mid-IR spectroscopic catalog of local AGN at sub-arcsecond resolution (median 0.3arcsec). The goal of this work is to give an overview of the spectroscopic properties of the sample. The nuclear 12micron luminosities of the AGN span more than four orders of magnitude, nu*Lnu(12micron)~ 3e41-1e46erg/s. In a simple mid-IR spectral index vs. strength of the 9.7micron silicate feature diagram most LLAGN, Seyfert nuclei, PG quasars, and RGs lie in the region occupied by clumpy torus model tracks. However, the mid-IR spectra of some might include contributions from other mechanisms. Most (U)LIRG nuclei in our sample have deeper silicate features and flatter spectral indices than predicted by these models suggesting deeply embedded dust heating sources and/or contribution from star formation. The 11.3micron PAH feature is clearly detected in approximately half of the Seyfert nuclei, LLAGN, and (U)LIRGs. While the RG, PG quasars, and (U)LIRGs in our sample have similar nuclear 12micron luminosities, we do not detect nuclear PAH emission in the RGs and PG quasars.

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A. Alonso-Herrero, P. Esquej, P. F. Roche, C. Ramos Almeida, O. Gonzalez-Martin, C. Packham, N. A. Levenson, R. E. Mason, A. Hernan-Caballero, M. Pereira-Santaella, C. Alvarez, I. Aretxaga, E. Lopez-Rodriguez, L. Colina, T. Diaz-Santos, M. Imanishi, J. M. Rodriguez Espinosa, E. Perlman. 2015-10-09. A mid-infrared spectroscopic atlas of local active galactic nuclei on sub-arcsecond resolution using GTC/CanariCam. https://doi.org/10.1093/mnras%2Fstv2342

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