Astronomy and Astrophysics – Astrophysics
Scientific paper
2004-08-05
Astronomy and Astrophysics
Astrophysics
Accepted for publication in MNRAS
Scientific paper
10.1111/j.1365-2966.2004.08093.x
We apply the technique of self-organising maps (Kohonen 1990) to the automated classification of singly periodic astronomical lightcurves. We find that our maps readily distinguish between lightcurve types in both synthetic and real datasets, and that the resulting maps do not depend sensitively on the chosen learning parameters. Automated data analysis techniques are likely to be become increasingly important as the size of astronomical datasets continues to increase, particularly with the advent of ultra-wide-field survey telescopes such as WASP, RAPTOR and ASAS.
Brett David R.
West Richard G.
Wheatley Peter J.
No associations
LandOfFree
The automated classification of astronomical lightcurves using Kohonen self-organising maps 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 The automated classification of astronomical lightcurves using Kohonen self-organising maps, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The automated classification of astronomical lightcurves using Kohonen self-organising maps will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-500232