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Clustering of AGN Using Photometric Redshifts: Insights and Future Directions

This study explores the clustering of active galactic nuclei (AGN) through photometric redshifts, utilizing data from the AEGIS and DEEP2 surveys. Building on previous findings by A. Coil et al. (2009), we address limitations in the existing literature, notably the limited number of X-ray AGNs and the unique nature of the DEEP2 spectroscopic redshifts. We analyze approximately 110 AGN galaxies and up to 21,000 photometric redshift PDFs, enhancing our understanding of AGN clustering and informing future research directions in cosmic evolution, particularly in varied fields like Lockman Hole and the Chandra Deep Field.

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Clustering of AGN Using Photometric Redshifts: Insights and Future Directions

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  1. The Clustering of AGN Using Photometric Redshifts Elias Koulouridis Antonis Georgakakis National Observatory of Athens

  2. Previous Results • A. Coil et al. 2009 projected cross-correlation function (wp) in AEGIS of 132 X-ray AGNs with 4669 galaxies from DEEP2 survey.

  3. Limitations • Deep2 is a unique catalogue of spectroscopic redshifts. • Small number of X-ray AGN in AEGIS/DEEP2. • Other studies are not possible, like the study of the Luminosity dependent evolution of the AGN clustering.

  4. Limitations Hopkins et al. 2007 Bias b(L) Log(Lbol/Lo)

  5. Probability Density Function (PDF) of Photometric Redshifts • Binned distribution with dz=0.04 from z=0 up to z=6 • Our redshift bin is ±300 h -1Mpc = 5 bins in the PDF

  6. Samples • 110 X-ray detected AGN galaxies in AEGIS/CFHTLS • ~21000 PDFs • ~106 random galaxies

  7. Results --- spectrum z (A. Coil et al. 2009) --- photometric z

  8. Possible fields : Lockman-Hole XMM-LSS CFHTLS D4 Chandra Deep Field North Chandra Deep Field South Cosmos Subaru-XMM (UDS) } Future Work CFHTLS

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