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Hypercat - hypercube of AGN tori

Published online by Cambridge University Press:  29 January 2021

Robert Nikutta ,
Enrique Lopez-Rodriguez ,
Kohei Ichikawa ,
Nancy A. Levenson  and
Christopher C. Packham
Robert Nikutta
Affiliation:
NSF’s National Optical-Infrared Astronomy Research Laboratory 950 N Cherry Avenue, Tucson, AZ85719, USA email: nikutta@noao.edu
Enrique Lopez-Rodriguez
Affiliation:
SOFIA Science Center, NASA Ames Research Center, Moffett Field, CA94035, USA
Kohei Ichikawa
Affiliation:
Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai980-8578, Japan Astronomical Institute, Tohoku University, Aramaki, Aoba-ku, Sendai, Miyagi 980-8578, Japan
Nancy A. Levenson
Affiliation:
Space Telescope Science Institute, Baltimore, MD21218, USA
Christopher C. Packham
Affiliation:
Department of Physics & Astronomy, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX78249, USA National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
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We introduce Hypercat, a large set of 2-d AGN torus images computed with the state-of-the-art clumpy radiative transfer code Clumpy. The images are provided as a 9-dimensional hypercube, in addition to a smaller hypercube of corresponding projected dust distribution maps. Hypercat also comprises a software suite for easy use of the hypercubes, quantification of image morphology, and simulation of synthetic observations with single-dish telescopes, interferometers, and Integral Field Units. We apply Hypercat to NGC 1068 and find that it can be spatially resolved in Near- and Mid-IR, for the first time with single-dish apertures, on the upcoming generation of 25–40m class telescopes. We also find that clumpy AGN torus models within a range of the parameter space can explain on scales of several parsec the recently reported polar elongation of MIR emission in several sources, while not upending basic assumptions about AGN unification.

Keywords

galaxies: activegalaxies: nucleigalaxies: Seyfertinfrared: galaxies radiative transferinstrumentation: high angular resolutioninstrumentation: interferometersmethods: data analysistechniques: high angular resolution
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S356: Nuclear Activity in Galaxies Across Cosmic Time , October 2019 , pp. 44 - 49
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of International Astronomical Union

References

Antonucci, R. 1993, AR&AA, 31, 473, doi: http://doi.org/10.1146/annurev.aa.31.090193.00235310.1146/annurev.aa.31.090193.002353CrossRefGoogle Scholar
Asmus, D. 2019, MNRAS, 2220, doi: http://doi.org/10.1093/mnras/stz228910.1093/mnras/stz2289CrossRefGoogle Scholar
Combes, F., Garca-Burillo, S., Audibert, A., et al. 2019, A&A, 623, A79, doi: 10.1051/0004-6361/201834560Google Scholar
Gallimore, J. F., Elitzur, M., Maiolino, R., et al. 2016, ApJL, 829, L7, doi: 10.3847/2041-8205/829/1/L7CrossRefGoogle Scholar
Hönig, S. F. & Kishimoto, M. 2017, ApJL, 838, L20, doi: http://doi.org/10.3847/2041-8213/aa683810.3847/2041-8213/aa6838CrossRefGoogle Scholar
Hönig, S. F., Kishimoto, M., Tristram, K. R. W., et al. 2013, ApJ, 771, 87, doi: 10.1088/0004-637X/771/2/87CrossRefGoogle Scholar
Impellizzeri, C. M. V., Gallimore, J. F., Baum, S. A., et al. 2019, ApJL, 884, L28, doi: 10.3847/2041-8213/ab3c64CrossRefGoogle Scholar
Jaffe, W., Meisenheimer, K., Röttgering, H. J. A., et al. 2004, Nature, 429, 47, doi: 10.1038/ nature02531CrossRefGoogle Scholar
López-Gonzaga, N., Burtscher, L., Tristram, K. R. W., Meisenheimer, K., & Schartmann, M. 2016, A&A, 591, A47, doi: http://doi.org/10.1051/0004-6361/20152759010.1051/0004-6361/201527590Google Scholar
Lopez-Rodriguez, E., Fuller, L., Alonso-Herrero, A., et al. 2018, ApJ, 859, 99, doi: 10.3847/ 1538-4357/aabd7bCrossRefGoogle Scholar
Markowitz, A. G., Krumpe, M., & Nikutta, R. 2014, MNRAS, 439, 1403, doi: 10.1093/mnras/stt2492CrossRefGoogle Scholar
Nenkova, M., Sirocky, M. M., Ivezić, Ž., & Elitzur, M. 2008, ApJ, 685, 147, doi: http://doi.org/10.1086/59048210.1086/590482CrossRefGoogle Scholar
Nenkova, M., Sirocky, M. M., Nikutta, R., Ivezić, Ž., & Elitzur, M. 2008, ApJ, 685, 160, doi: http://doi.org/10.1086/59048310.1086/590483Google Scholar
Stalevski, M., Asmus, D., & Tristram, K. R. W. 2017, MNRAS, 472, 3854, doi: 10.1093/mnras/stx2227Google Scholar
Tristram, K. R. W., Burtscher, L., Jaffe, W., et al. 2014, A&A, 563, A82, doi: 10.1051/0004-6361/201322698Google Scholar
Urry, C. M., & Padovani, P. 1995, PASP, 107, 803, doi: http://doi.org/10.1086/13363010.1086/133630CrossRefGoogle Scholar