Attributes of GRB pulses: An improved Bayesian Blocks algorithm for binned data
作者:
Jeffrey D. Scargle,
Jay Norris,
Gabriela Marani,
Jerry Bonnell,
期刊:
AIP Conference Proceedings
(AIP Available online 1900)
卷期:
Volume 526,
issue 1
页码: 873-876
ISSN:0094-243X
年代: 1900
DOI:10.1063/1.1361658
出版商: AIP
数据来源: AIP
摘要:
A procedure to estimate temporal locations, amplitudes, widths, rise and decay times of pulses occurring within a large sample of GRB light curves, using BATSE 64-ms concatenated data, is based on an improved version of Bayesian Blocks. It determines the maximum likelihood value of the number of blocks by marginalizing over all the other parameters (block locations and sizes). The blocks are then used to obtain objective, automatic estimates of pulse parameters, which can either be used to study pulse-attribute correlations or as the starting solution for iterative, nonlinear fits of parametric models. ©2000 American Institute of Physics.
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