2001/05/07 by J. P. Norris, J. D. Scargle, J. T. Bonnell · 2 citations
Engineering · Physics and Astronomy · #Advanced X-ray and CT Imaging #Astrophysics #Biological system #Biology #Computer science #Detector #Gamma-ray burst #Gamma-ray bursts and supernovae #Lag #Lag time #Magnitude (astronomy) #Measure (data warehouse) #Optics #Physics #Pulse (music) #Statistical physics #Time lag #astro-ph
paper · pdf · doi:10.1007/10853853_9
2nd Rome Workshop on Gamma-Ray Bursts in the Afterglow Era, 3 pages
arxiv created 2001/05/07 · openalex publication_date 2006/02/10 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We analyze BATSE time-tagged event (TTE) data for short gamma-ray bursts (T90 duration < 2.6 s), studying spectral lag vs. peak flux and duration, as well as the number of distinct pulse structures per burst. Performing the cross-correlation between two energy bands, we measure an average lag ~ 20-40 x shorter than for long bursts, and a lag distribution close to symmetric about zero - unlike long bursts. Using a "Bayesian Block" method to identify significantly distinct pulse peaks, we find an order of magnitude fewer pulses than found in studies of long bursts. The disparity in lag magnitude is discontinuous across the ~ 2-s valley between long and short bursts. Thus, short bursts do not appear to be representable as a continuation of long bursts' temporal characteristics.