AGN Selection and Demographics in GOODS-S/HUDF from X-Ray to Radio

We present a comprehensive census of the AGNs in GOODS-S/HUDF region from X-ray to radio, covering both obscured and unobscured populations. This work includes robust analysis source optical-to-mid-IR SEDs featuring (semi-)empirical AGN galaxy dust emission models Baysian fitting techniques, ultra-deep VLA 3 6 GHz observations, an integrated various selection including properties, UV-to-MIR SED analysis, optical spectral features, mid-IR colors, radio loudness slope, variability. In total, we report $\sim$900 over $\sim$170 arcmin$^2$ 3D-HST GOODS-S footprint, which has doubled number identified previous sample with $\sim$26\% our undetected deepest Chandra image. With summary demographics different methods, find that no one single band or technique comes close selecting complete despite great depth data GOODS-S/HUDF. estimate yields approaches explore reasons for incompleteness. characterize statistical such as density, obscuration fraction luminosity function this field discuss their immediate implications. also provide some qualitative predictions might be discovered by upcoming JWST surveys.