Classifying Gamma-Ray Bursts using Self-organizing Maps

Details Classifying Gamma-Ray Bursts using Self-organizing Maps Classifying Gamma-Ray Bursts using Self-organizing Maps

Feb 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002apj...566..202r&link_type=abstract

The Astrophysical Journal, Volume 566, Issue 1, pp. 202-209.

Astronomy and Astrophysics

Astronomy

22

Gamma Rays: Bursts, Methods: Analytical, Methods: Data Analysis, Methods: Statistical

Scientific paper

Using the self-organizing map (SOM) algorithm developed by Kohonen in 1982, we investigate the three gamma-ray burst classes discovered by Mukherjee et al. in 1998 and classify the bursts in the current BATSE catalog. The validity of the classification and the isotropy of the burst classes is examined using well-known statistical methods. We are able to show by this independent unsupervised classifier that two previously observed burst classes are indeed present in BATSE data. We also support the 2000 conclusion of Hakkila et al. that there is no strong statistical signal for the existence of the third class, which might actually be due to an instrumental bias. This result is obtained through our independent analysis method, which is not related to the 2000 analysis of Hakkila et al.

Affiliated with

Also associated with

No associations

Rating

Classifying Gamma-Ray Bursts using Self-organizing 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 Classifying Gamma-Ray Bursts using Self-organizing Maps, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Classifying Gamma-Ray Bursts using Self-organizing Maps will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1792665