Fitting AGN/galaxy X-ray-to-radio SEDs with CIGALE and improvement of the code
Guang Yang (TAMU), M\'ed\'eric Boquien, William N. Brandt, V\'eronique, Buat, Denis Burgarella, Laure Ciesla, Bret D. Lehmer, Katarzyna E. Ma{\l}ek,, George Mountrichas, Casey Papovich, Estelle Pons, Marko Stalevski, Patrice, Theul\'e, Shifu Zhu

TL;DR
This paper presents enhancements to the CIGALE code, specifically its X-ray extension X-CIGALE, improving modeling of AGN and galaxy spectral energy distributions across multiple wavelengths, validated on various astronomical samples.
Contribution
The authors identify weaknesses in X-CIGALE and implement improvements related to AGN X-ray anisotropy, X-ray binary emission, and radio emission, enhancing fit quality and physical interpretation.
Findings
AGN X-ray anisotropy is moderate and modeled as $L_X( heta) \\propto 1+\\cos \\theta$
Improvements lead to better fit quality and more accurate physical insights
The updated code is publicly released as CIGALE v2022.0
Abstract
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 COSMOS spectroscopic type 2 AGNs, CDF-S X-ray detected normal galaxies, SDSS 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,…
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