Automated quasar detection in the SGP field - A clustering study

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19

Milky Way Galaxy, Quasars, Southern Sky, Astronomical Catalogs, Automation, Cluster Analysis, Power Spectra, Probability Theory, Red Shift

Scientific paper

The present study is concerned with the application of the Automated Quasar Detection (AQD) process to a field containing the south galactic pole. This field, usually known as the SGP (South Galactic Pole) field, although centered about 1 deg from the pole, represents one of two undisputed 'selected areas' in the Southern Hemisphere. Visual searching procedures for quasar candidates have certain drawbacks. Thus, the selection criteria are not specified numerically, AQD was developed to overcome these shortcomings for objective-prism plates. Clowes et al. (1984) have provided a description of the original implementation of the AQD. The present paper describes some enhancements to AQD which have been introduced since the original implementation. Details regarding the specific application of AQD to the SGP field are also discussed. It is shown that some substantial progress can be made in quasar clustering studies using only objective-prism data.

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

Automated quasar detection in the SGP field - A clustering study 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 Automated quasar detection in the SGP field - A clustering study, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated quasar detection in the SGP field - A clustering study will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1847012

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