Mathematics – Logic
Scientific paper
May 1998
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998aipc..428..261l&link_type=abstract
Fourth Huntsville gamma-ray burst symposium. AIP Conference Proceedings, Volume 428, pp. 261-265 (1998).
Mathematics
Logic
5
Gamma-Ray Sources, Gamma-Ray Bursts, Gamma-Ray
Scientific paper
The time profiles of many gamma-ray bursts observed by BATSE consist of distinct pulses, which offers the possibility of characterizing the temporal structure of these bursts using a relatively small set of pulse shape parameters. This pulse analysis has previously been performed on a small sample of bright long bursts using binned data, which comes in several data types, and on a sample of short bursts using the BATSE Time-Tagged Event (TTE) data type. The BATSE Time-to-Spill (TTS) burst data type records the times required to accumulate a fixed number of photons, in each of four energy channels. These spill times give the inverse of the average count rate for the spill interval. There has been almost no analysis done with the TTS data, because it is difficult to use with standard algorithms. The TTS data offer variable time resolution, ranging from about 50 ms to under 1 ms, which usually allows the complete time profiles of bright, long bursts to be stored in the limited memory on board the CGRO. The spill times recorded in the TTS data behave as a gamma distribution. We have developed an interactive pulse-fitting program written in IDL using the phenomenological pulse model of Norris et al. [1], a maximum-likelihood fitting routine, and a semi-automatic routine to determine initial guesses for the fitting routine from time profiles smoothed by a wavelet denoising algorithm. We have used this program to analyze all bursts observed by BATSE up through trigger number 2000, covering the period from April 1991 through July 1994, in all energy channels for which there is TTS data available. We present statistical information on the attributes of pulses comprising these bursts.
Bloom Elliott
Lee Andrew
Scargle Jeffrey
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