The influence of crowding on DENIS point source detection rates

Astronomy and Astrophysics – Astronomy

Scientific paper

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Astronomical Photography, Brightness Distribution, Crowding, Galaxies, Infrared Astronomy, Monte Carlo Method, Near Infrared Radiation, Photointerpretation, Sky Surveys (Astronomy), Stellar Magnitude, Accuracy, Computer Programs, Density (Number/Volume), Detection, Statistical Analysis

Scientific paper

In this paper we estimate the effects of crowding (resulting in failure to detect sources due to unresolvable blends) on Deep Near-Infrared Survey (DENIS) point source extraction. Crowding, together with confusion (flux contribution from sources below the detection limit), is expected to be a major quality-degrading factor close to the galactic plane. Correcting for the incompleteness of the DENIS data could produce accurate starcounts very close to the galactic plane.

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