AGN evolution from large and deep X-ray surveys

Astronomy and Astrophysics – Astrophysics – Cosmology and Extragalactic Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8 pages, 5 figures. Invited talk, to be published in the proceedings of the IAU Symposium 267 "Co-evolution of central Black H

Scientific paper

Over the last few years, the existence of mutual feedback effects between accreting supermassive black holes powering AGN and star formation in their host galaxies has become evident. This means that the formation and the evolution of AGN and galaxies should be considered as one and the same problem. As a consequence, the search for, and the characterization of the evolutive and physical properties of AGN over a large redshift interval is a key topic of present research in the field of observational cosmology. Significant advances have been obtained in the last ten years thanks to the sizable number of XMM-Newton and Chandra surveys, complemented by multiwavelength follow-up programs. We will present some of the recent results and the ongoing efforts (mostly from the COSMOS and CDFS surveys) aimed at obtaining a complete census of accreting Black Holes in the Universe, and a characterization of the host galaxies properties.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

AGN evolution from large and deep X-ray surveys does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with AGN evolution from large and deep X-ray surveys, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and AGN evolution from large and deep X-ray surveys will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-327085

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.