A compact representation of GRB time series using multiscale edge detection

Details A compact representation of GRB time series using multiscale edge detection A compact representation of GRB time series using multiscale edge detection

Aug 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996aipc..384..116y&link_type=abstract

Gamma-ray bursts: 3rd Huntsville symposium. AIP Conference Proceedings, Volume 384, pp. 116-122 (1996).

Mathematics

Mathematical Procedures And Computer Techniques, Gamma-Ray Sources, Gamma-Ray Bursts

Scientific paper

Multiscale edge detection using-wavelet transform maxima provides a robust method to compress information in a transient signal. We apply this method to GRB time series data from the BATSE LADs. With this technique real temporal features manifest themselves as ``edges'' over a wide range of time scales, whereas Poisson noise seldom extends beyond the shortest time scales. This provides a method to quantify the variability, identify structures (e.g. FREDs), significantly suppress noise and compress the volume of data by as much as a factor of 50. There is a potential for further parameterizing a GRB time series by identifying and quantifying ``edge'' families that extend over a range of time scales.

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