The Close AGN Reference Survey

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CARS is a survey of nearby (z<0.05) unobscured AGN. 41 galaxies were observed with MUSE and complemented by many multi-wavelength observations.

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Welcome to the Close AGN Reference Survey homepage!

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Active Galactic Nuclei (AGN) are powered by the accretion of material onto super-massive black holes at the centre of galaxies. The enormous energy released by AGN can couple to the interstellar medium and is suspected to influence the conditions for star formation in their host galaxies, making it an important facet in galaxies’ evolution. Although AGN have long been studied, the precise mechanisms of feedback to their host galaxies requires further investigation.

The Close AGN Reference Survey (CARS) aims to provide the most detailed view on the AGN-host galaxy connection based on a sample of 40 nearby unobscured AGN (0.01<z<0.06). Our goal is to establish a unique reference data set for AGN host galaxies at low redshift as an anchor point for comparison with high-redshift AGN. We systematically combine spatially-resolved observations across the entire electromagnetic spectrum from X-ray to radio for a representative sample of local AGN. This is only possible by combining many observatories using state-of-the-art instrumentation. The project started by acquiring panchromatic optical integral-field spectroscopy with the 2nd generation instrument at the Very Large Telescope, the Multi-Unit Spectroscopic Explorer (MUSE). A large number of observations have been or will be taken to provide a complete the multi-wavelength coverage with a minimum of spatial resolution. The list below given an indication for the incredible valuable data set:

Combining these datasets will allow us to tackle a large range of science question related to the AGN-host galaxy connection ranging from:

This website provides an overview data and the science projects pursued by the team. In the future it will host dedicated data released of the data and high-level data produces as the survey continues to be productive.