Computer Science – Databases
Scientific paper
Feb 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994apj...421l..83k&link_type=abstract
Astrophysical Journal, Part 2 - Letters (ISSN 0004-637X), vol. 421, no. 2, p. L83-L86
Computer Science
Databases
4
Brightness Distribution, Distribution Functions, Gamma Ray Bursts, Spectral Energy Distribution, Time Measurement, Flux Density, Gamma Ray Observatory, Histograms, Venera Satellites
Scientific paper
We analyze duration and brightness distributions of both the SIGNE Venera 13 and 14 and Burst and Transient Source Experiment (BATSE) gamma-ray burst databases. Choosing T50 as a measure of the burst duration and using both 64 and 1024 ms peak count rates, we search for correlations between duration, peak brightness, and the ratio V identically equals C64/C1024, proposed as a measure of variability by Lamb, Graziani, & Smith. The duration histogram for SIGNE shows a long-duration peak that is consistent with BATSE, but does not exhibit the short population, instead appearing flat below 0.6 s; the difference is presumably caused by the failure of SIGNE to detect the short, faint bursts that were observed by BATSE. Estimating the instantaneous brightness by C64, we find that SIGNE confirms the BATSE result that the long and short bursts have similar maximum instantaneous brightnesses. Scatter-plots between duration, brightness, and V are consistent for both databases; we show that SIGNE confirms the BATSE observation that there is a lack of bursts that are both bright over 1024 ms and contain a short, bright spike.
Barat Claude
Hurley Kevin
Kargatis Vincent Emanuel
Li Handong
Liang Edison P.
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