Quantifying variability in GRB light curves using multiscale edge detection

Details Quantifying variability in GRB light curves using multiscale edge detection Quantifying variability in GRB light curves using multiscale edge detection

May 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998aipc..428..201y&link_type=abstract

Fourth Huntsville gamma-ray burst symposium. AIP Conference Proceedings, Volume 428, pp. 201-205 (1998).

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2

Gamma-Ray Sources, Gamma-Ray Bursts, Gamma-Ray

Scientific paper

Multiscale edge detection using wavelet transform maxima provides a robust method to reduce noise, quantify variability, and compress information in a transient signal. We have applied this method to gamma-ray burst (GRB) time series data from the Compton Gamma-Ray Observatory (CGRO). We define a variability parameter that provides another way to describe a GRB in a manner similar to duration or peak intensity. We present a study of correlations between our variability parameter and other burst parameters.

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