AGNfitter-rx: Modelling the Radio-to-x-ray SEDs of AGNs
arxiv(2024)
摘要
We present new frontiers in the modelling of the spectral energydistributions (SED) of active galaxies by introducing the radio-to-X-rayfitting capabilities of the publicly available Bayesian code AGNfitter. The newcode release, called AGNfitter-rx, models the broad-band photometry coveringthe radio, infrared (IR), optical, ultraviolet (UV) and X-ray bandsconsistently, using a combination of theoretical and semi-empirical models ofthe AGN and host galaxy emission. This framework enables the detailedcharacterization of four physical components of the active nuclei: theaccretion disk, the hot dusty torus, the relativistic jets/core radio emission,and the hot corona; alongside modeling three components within the host galaxy:stellar populations, cold dust, and the radio emission from the star-formingregions. Applying AGNfitter-rx to a diverse sample of 36 AGN SEDs at z<0.7 fromthe AGN SED ATLAS, we investigate and compare the performance ofstate-of-the-art torus and accretion disk emission models on fit quality andinferred physical parameters. We find that clumpy torus models that includepolar winds and semi-empirical accretion disk templates including emission linefeatures significantly increase the fit quality in 67effectively reducing by 2σ fit residuals in the 1.5-5 μ m and0.7 μ m regimes.We demonstrate that, by applying AGNfitter-rx onphotometric data, we are able to estimate inclination and opening angles of thetorus, consistent with spectroscopic classifications within the AGN unifiedmodel, as well as black hole mass estimates in agreement with virial estimatesbased on Hα. The wavelength coverage and the flexibility for theinclusion of state-of-the-art theoretical models make AGNfitter-rx a uniquetool for the further development of SED modelling for AGNs in present andfuture radio-to-X-ray galaxy surveys.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要