Constraining the properties of AGN host galaxies with Spectral Energy Distribution modeling

TL;DR

This study uses advanced SED modeling to analyze how AGN activity affects the estimation of galaxy properties like star formation rate and stellar mass, highlighting the importance of accounting for AGN contribution in such measurements.

Contribution

It demonstrates the impact of different AGN types and contributions on SED fitting accuracy and compares SFH models for better galaxy property estimation.

Findings

Constraining AGN contribution below 20% is challenging, especially without FIR/sub-mm data.

AGN power influences stellar mass estimates in Type 1 and intermediate AGNs, but not in Type 2.

Delayed SFH models provide accurate estimates of stellar mass and SFR with minimal bias.

Abstract

[abridged] We use the latest release of CIGALE, a galaxy SED fitting model relying on energy balance, to study the influence of an AGN in estimating both the SFR and stellar mass in galaxies, as well as the contribution of the AGN to the power output of the host. Using the galaxy formation SAM GALFORM, we create mock galaxy SEDs using realistic star formation histories (SFH) and add an AGN of Type 1, Type 2, or intermediate type whose contribution to the bolometric luminosity can be variable. We perform an SED fitting of these catalogues with CIGALE assuming three different SFHs: a single- and double-exponentially-decreasing, and a delayed SFH. Constraining thecontribution of an AGN to the LIR (fracAGN) is very challenging for fracAGN<20%, with uncertainties of ~5-30% for higher fractions depending on the AGN type, while FIR and sub-mm are essential. The AGN power has an impact on the estimation of $M_*$ in Type 1 and intermediate type AGNs but has no effect for galaxies hosting Type 2 AGNs. We find that in the absence of AGN emission, the best estimates of $M_*$ are obtained using the double-exponentially-decreasing model but at the expense of realistic ages of the stellar population. The delayed SFH model provides good estimates of $M_*$ and SFR, with a maximum offset of 10% as well as better estimates of the age. Our analysis shows that the underestimation of the SFR increases with fracAGN for Type 1 systems, as well as for low contributions of an intermediate AGN type, but it is quite insensitive to the emission of Type 2 AGNs up to fracAGN~45%. Similarly the UV emission is critical in accurately retrieving the $M_*$ for Type 1 and intermediate type AGN, and the SFR of all of the three AGN types. We show that the presence of AGN emission introduces a scatter to the SFR-$M_*$ main sequence relation derived from SED fitting, which is driven by the uncertainties on $M_*$.