Attributes of GRB Pulses: Bayesian Blocks Analysis of TTE Data; a Microburst in GRB 920229
Astrophysics
2009-10-30 v1
Abstract
Bayesian Blocks is a new time series algorithm for detecting localized structures (spikes or shots), revealing pulse shapes, and generally characterizing intensity variations. It maps raw counting data into a maximum likelihood piecewise constant representation of the underlying signal. This bin-free method imposes no lower limit on measurable time scales. Applied to BATSE TTE data, it reveals the shortest know burst structure -- a spike superimposed on the main burst in GRB 920229 = Trigger 1453, with rise and decay timescales ~ few 100 microseconds.
Cite
@article{arxiv.astro-ph/9712016,
title = {Attributes of GRB Pulses: Bayesian Blocks Analysis of TTE Data; a Microburst in GRB 920229},
author = {Jeffrey D. Scargle and Jay Norris and Jerry Bonnell},
journal= {arXiv preprint arXiv:astro-ph/9712016},
year = {2009}
}
Comments
5 pages, 2 figures; presented at the 4th Huntsville Gamma-ray Burst Symposium