AGN clustering using photometric redshifts

The clustering properties of active galactic nuclei (AGN) are a powerful diagnostic of the mechanism that dominates the fuelling of supermassive black holes (SMBHs) across cosmic time. The problem is that current clustering analysis techniques depend heavily on spectroscopy for the AGN. I will present a new clustering method that does not require spectroscopy but uses photometric redshift probability distribution functions (PDFs) to determine the real-space correlation function of AGN. Results using this method will be shown for X-ray and IR selected sources and will be compared to the classical spectroscopic approach. This method will allow the optimal exploitation of the data of future and ongoing surveys (e.g. Pan-STARRS1, CANDELS, eROSITA).