Issue |
A&A
Volume 688, August 2024
|
|
---|---|---|
Article Number | A46 | |
Number of page(s) | 25 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202449329 | |
Published online | 02 August 2024 |
AGNFITTER-RX: Modeling the radio-to-X-ray spectral energy distributions of AGNs
1
European Southern Observatory (ESO),
Karl-Schwarzschild-Straße 2,
85748
Garching bei München,
Germany
e-mail: ltmartinez@uc.cl
2
Instituto de Astrofísica, Facultad de Física, Pontificia Universidad Católica de Chile
Av. Vicuña Mackenna 4860,
7820436
Macul, Santiago,
Chile
3
Millennium Institute of Astrophysics (MAS),
Nuncio Monseñor Sótero Sanz 100,
Providencia, Santiago,
Chile
4
Max Planck Institut für Astronomie,
Königstuhl 17,
69117
Heidelberg,
Germany
5
Dipartamento di Fisica e Astronomia, Universitá di Firenze,
Via G. Sansone 1,
50019
Sesto Fiorentino,
FI,
Italy
6
INAF – Osservatorio Astrofisico di Arcetri,
Largo E. Fermi 5,
50125
Firenze,
Italy
7
Max Planck Institute for Extragalactic Physics,
Gießenbachstraße,
85741
Garching,
Germany
8
School of Physics & Astronomy, Monash University, Clayton Campus VIC
3800,
Australia
9
Escuela de Física – Universidad Industrial de Santander,
680002
Bucaramanga,
Colombia
10
Instituto de Estudios Astrofísicos, Facultad de Ingeniería y Ciencias, Universidad Diego Portales,
Av. Ejército Libertador 441,
Santiago
8320000,
Chile
11
Centre for Extragalactic Astronomy, Department of Physics, Durham University,
South Road,
Durham
DH1 3LE,
UK
12
School of Physics and Astronomy, University of Southampton,
Southampton
SO17 1BJ,
UK
13
Astronomical Observatory,
Volgina 7,
11060
Belgrade,
Serbia
14
Sterrenkundig Observatorium, Universiteit Gent,
Krijgslaan 281-S9,
Gent
9000,
Belgium
15
Physics Department, Broida Hall, University of California,
Santa Barbara,
CA
93106-9530,
USA
16
Leiden Observatory, Leiden University,
PO Box 9513,
2300
RA
Leiden,
The Netherlands
Received:
24
January
2024
Accepted:
20
May
2024
We present new advancements in the modeling of the spectral energy distributions (SEDs) of active galaxies by introducing the radio-to-X-ray fitting capabilities of the publicly available Bayesian code AGNFITTER. The new code release, called AGNFITTER-RX, models the broad-band photometry covering the radio, infrared (IR), optical, ultraviolet (UV), and X-ray bands consistently using a combination of theoretical and semi-empirical models of the active galactic nucleus (AGN) and host-galaxy emission. This framework enables the detailed characterization of four physical components of the active nuclei, namely the accretion disk, the hot dusty torus, the relativistic jets and core radio emission, and the hot corona, and can be used to model three components within the host galaxy: stellar populations, cold dust, and the radio emission from the star-forming regions. Applying AGNFITTER-RX to a diverse sample of 36 AGN SEDs at z ≲ 0.7 from the AGN SED ATLAS, we investigated and compared the performance of state-of-the-art torus and accretion disk emission models in terms of fit quality and inferred physical parameters. We find that clumpy torus models that include polar winds and semi-empirical accretion disk templates including emission-line features significantly increase the fit quality in 67% of the sources by reducing by 2σ fit residuals in the 1.5-5 μm and 0.7 μm regimes. We demonstrate that, by applying AGNFITTER-RX to photometric data, we are able to estimate the inclination and opening angles of the torus, consistent with spectroscopic classifications within the AGN unified model, as well as black hole masses congruent with virial estimates based on Hα. We investigate wavelength-dependent AGN fractions across the spectrum for Type 1 and Type 2 AGNs, finding dominant AGN fractions in radio, mid-infrared, and X-ray bands, which are in agreement with the findings from empirical methods for AGN selection. The wavelength coverage and the flexibility for the inclusion of state-of-the-art theoretical models make AGNFITTER-RX a unique tool for the further development of SED modeling for AGNs in present and future radio-to-X-ray galaxy surveys.
Key words: methods: statistical / galaxies: active / galaxies: nuclei / quasars: general
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model.
Open Access funding provided by Max Planck Society.
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