Detection of Faint Compact Radio Sources in Wide Field Interferometric Images using the Slope Stability of a Contrast Radial Function

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

2

Scientific paper

Wide field interferometric radio images often contain a remarkable population of faint compact sources. Due to their low intensity/noise ratio, these objects can be easily missed by automated detection methods. We present in this paper a novel detection algorithm based on the structural behaviour of the neighbourhood around each studied pixel. This structural analysis is performed by defining an intensity contrast radial function and analyzing the behaviour of its slope. Our method allows using very low thresholds for the detection of sources with intensities similar to noise levels. As an example we show the validity of our approach with an image from the radio surveys recently performed in the Cygnus OB2 region using the GMRT interferometer at 610 MHz.

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

Detection of Faint Compact Radio Sources in Wide Field Interferometric Images using the Slope Stability of a Contrast Radial Function 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 Detection of Faint Compact Radio Sources in Wide Field Interferometric Images using the Slope Stability of a Contrast Radial Function, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detection of Faint Compact Radio Sources in Wide Field Interferometric Images using the Slope Stability of a Contrast Radial Function will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-834321

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