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Towards an observationally motivated AGN dusty torus model : I. Dust chemical composition from the modelling of Spitzer spectra

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Abstract
Spectral energy distribution (SED) fitting is one of the most commonly used techniques to study the dust properties in active galactic nuclei (AGN). Works implementing this technique commonly use radiative transfer models that assume a variety of dust properties. Despite the key role of this aspect, limited effort has been put forward to explore the chemical composition, the role of different optical properties, and the grain size distribution of dust, all of which can have a substantial impact on the theoretical radiative transfer calculations. In this work, we explore the role of the dust chemical composition in the AGN dusty torus through SED fitting to Spitzer/IRS spectra of a sample of 49 nearby AGN with silicate features in emission. We implement a mineralogy model including the popular astronomical silicates and a set of oxides and amorphous silicates with different grain sizes. We find that best fits use principally porous alumina, periclase, and olivine. In terms of mass fractions, ∼99 per cent of the dust is composed of dust grains of size 0.1 μm, with a <1 per cent contribution from 3 μm grains. Moreover, the astronomical silicates have a very low occurrence in the best fits, suggesting that they are not the most suited dust species to reproduce the silicate features in our sample.
Keywords
radiative transfer, galaxies: Seyfert, infrared: galaxies – dust, ACTIVE GALACTIC NUCLEI, SILICATE EMISSION, INFRARED RADIATION, ANOMALOUS SILICATE, OPTICAL-PROPERTIES, INTERSTELLAR DUST, MIDINFRARED SEDS, SEYFERT 1, GALAXIES, QUASARS

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MLA
Reyes-Amador, Omar Ulises, et al. “Towards an Observationally Motivated AGN Dusty Torus Model : I. Dust Chemical Composition from the Modelling of Spitzer Spectra.” MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, vol. 531, no. 1, 2024, pp. 1841–55, doi:10.1093/mnras/stae1281.
APA
Reyes-Amador, O. U., Fritz, J., González-Martín, O., Srinivasan, S., Baes, M., Lopez-Rodriguez, E., … Ramos Almeida, C. (2024). Towards an observationally motivated AGN dusty torus model : I. Dust chemical composition from the modelling of Spitzer spectra. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 531(1), 1841–1855. https://doi.org/10.1093/mnras/stae1281
Chicago author-date
Reyes-Amador, Omar Ulises, Jacopo Fritz, Omaira González-Martín, Sundar Srinivasan, Maarten Baes, Enrique Lopez-Rodriguez, Natalia Osorio-Clavijo, Cesar Iván Victoria-Ceballos, Marko Stalevski, and C Ramos Almeida. 2024. “Towards an Observationally Motivated AGN Dusty Torus Model : I. Dust Chemical Composition from the Modelling of Spitzer Spectra.” MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 531 (1): 1841–55. https://doi.org/10.1093/mnras/stae1281.
Chicago author-date (all authors)
Reyes-Amador, Omar Ulises, Jacopo Fritz, Omaira González-Martín, Sundar Srinivasan, Maarten Baes, Enrique Lopez-Rodriguez, Natalia Osorio-Clavijo, Cesar Iván Victoria-Ceballos, Marko Stalevski, and C Ramos Almeida. 2024. “Towards an Observationally Motivated AGN Dusty Torus Model : I. Dust Chemical Composition from the Modelling of Spitzer Spectra.” MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 531 (1): 1841–1855. doi:10.1093/mnras/stae1281.
Vancouver
1.
Reyes-Amador OU, Fritz J, González-Martín O, Srinivasan S, Baes M, Lopez-Rodriguez E, et al. Towards an observationally motivated AGN dusty torus model : I. Dust chemical composition from the modelling of Spitzer spectra. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. 2024;531(1):1841–55.
IEEE
[1]
O. U. Reyes-Amador et al., “Towards an observationally motivated AGN dusty torus model : I. Dust chemical composition from the modelling of Spitzer spectra,” MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, vol. 531, no. 1, pp. 1841–1855, 2024.
@article{01HZEQCD3ZS9C2S3VN603G3Q1D,
  abstract     = {{Spectral energy distribution (SED) fitting is one of the most commonly used techniques to study the dust properties in active galactic nuclei (AGN). Works implementing this technique commonly use radiative transfer models that assume a variety of dust properties. Despite the key role of this aspect, limited effort has been put forward to explore the chemical composition, the role of different optical properties, and the grain size distribution of dust, all of which can have a substantial impact on the theoretical radiative transfer calculations. In this work, we explore the role of the dust chemical composition in the AGN dusty torus through SED fitting to Spitzer/IRS spectra of a sample of 49 nearby AGN with silicate features in emission. We implement a mineralogy model including the popular astronomical silicates and a set of oxides and amorphous silicates with different grain sizes. We find that best fits use principally porous alumina, periclase, and olivine. In terms of mass fractions,  ∼99 per cent of the dust is composed of dust grains of size  0.1 μm, with a  <1 per cent contribution from 3 μm grains. Moreover, the astronomical silicates have a very low occurrence in the best fits, suggesting that they are not the most suited dust species to reproduce the silicate features in our sample.}},
  author       = {{Reyes-Amador, Omar Ulises and Fritz, Jacopo and González-Martín, Omaira and Srinivasan, Sundar and Baes, Maarten and Lopez-Rodriguez, Enrique and Osorio-Clavijo, Natalia and Victoria-Ceballos, Cesar Iván and Stalevski, Marko and Ramos Almeida, C}},
  issn         = {{0035-8711}},
  journal      = {{MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY}},
  keywords     = {{radiative transfer,galaxies: Seyfert,infrared: galaxies – dust,ACTIVE GALACTIC NUCLEI,SILICATE EMISSION,INFRARED RADIATION,ANOMALOUS SILICATE,OPTICAL-PROPERTIES,INTERSTELLAR DUST,MIDINFRARED SEDS,SEYFERT 1,GALAXIES,QUASARS}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{1841--1855}},
  title        = {{Towards an observationally motivated AGN dusty torus model : I. Dust chemical composition from the modelling of Spitzer spectra}},
  url          = {{http://doi.org/10.1093/mnras/stae1281}},
  volume       = {{531}},
  year         = {{2024}},
}

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