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Fitting AGN/Galaxy X-Ray-to-radio SEDs with CIGALE and Improvement of the Code
Modern and future surveys effectively provide a panchromatic view for large numbers of extragalactic objects. Consistently modeling these multiwavelength survey data is a critical but challenging task for extragalactic studies. The Code Investigating GALaxy Emission ( cigale ) is an efficient python...
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Published in: | The Astrophysical journal 2022-03, Vol.927 (2), p.192 |
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Main Authors: | , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Modern and future surveys effectively provide a panchromatic view for large numbers of extragalactic objects. Consistently modeling these multiwavelength survey data is a critical but challenging task for extragalactic studies. The Code Investigating GALaxy Emission (
cigale
) is an efficient
python
code for spectral energy distribution (SED) fitting of galaxies and active galactic nuclei (AGNs). Recently, a major extension of
cigale
(named
x-cigale
) has been developed to account for AGN/galaxy X-ray emission and improve AGN modeling at UV-to-IR wavelengths. Here, we apply
x-cigale
to different samples, including Cosmological Evolution Survey (COSMOS) spectroscopic type 2 AGNs, Chandra Deep Field-South X-ray detected normal galaxies, Sloan Digital Sky Survey quasars, and COSMOS radio objects. From these tests, we identify several weaknesses of
x-cigale
and improve the code accordingly. These improvements are mainly related to AGN intrinsic X-ray anisotropy, X-ray binary emission, AGN accretion-disk SED shape, and AGN radio emission. These updates improve the fit quality and allow for new interpretation of the results, based on which we discuss physical implications. For example, we find that AGN intrinsic X-ray anisotropy is moderate, and can be modeled as
L
X
(
θ
)
∝
1
+
cos
θ
, where
θ
is the viewing angle measured from the AGN axis. We merge the new code into the major branch of
cigale
, and publicly release this new version as
cigale v2022.0
on
https://cigale.lam.fr
. |
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ISSN: | 0004-637X 1538-4357 |
DOI: | 10.3847/1538-4357/ac4971 |