X-ray flux in the SED modelling: An application of X-CIGALE in the XMM-XXL field
G. Mountrichas, V. Buat, G. Yang, M. Boquien, D. Burgarella, L. Ciesla

TL;DR
This paper demonstrates that X-CIGALE, an SED fitting tool, effectively integrates X-ray data to improve AGN classification and characterization, especially when IR photometry is available, using a large sample from the XMM-XXL field.
Contribution
The work introduces new features in X-CIGALE for fitting X-ray fluxes and obscuring material, enhancing AGN detection and classification accuracy in SED modeling.
Findings
X-CIGALE successfully links X-ray and UV luminosities across the sample.
Inclusion of polar dust increases AGN fraction estimates.
X-CIGALE improves AGN detection among X-ray sources, especially with IR data.
Abstract
X-CIGALE, built upon the spectral energy distribution (SED) code of CIGALE, implements important new features: The code accounts for obscuring material in the polars of the AGN and has the ability to fit X-ray fluxes. In this work, we use ~2500 spectroscopic, X-ray AGN from the XMM-XXL-North field and examine the improvements the new features bring in the SED modelling analysis. Based on our results, X-CIGALE successfully connects the X-ray with the UV luminosity in the whole range spanned by our sample (log Lx(2-10 keV) = (42 - 46) erg/s). The addition of the new features globally improves the efficiency of X-CIGALE in the estimation and characterization of the AGN component. The classification into type 1 and type 2 based on their inclination angle is improved, especially at redshifts lower than 1. The statistical significance of the AGN fraction, fracAGN, measurements is increased,…
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Taxonomy
TopicsAstrophysical Phenomena and Observations · Galaxies: Formation, Evolution, Phenomena · Astrophysics and Cosmic Phenomena
