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Properties of time profiles of gamma -ray bursts using pulse decomposition analysis.

机译:使用脉冲分解分析的伽马射线爆发时间曲线的属性。

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摘要

The time profiles of many gamma-ray bursts 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 decomposition analysis has previously been performed on a small sample of bright long bursts using binned data from BATSE, which comes in several data types, and on a sample of short bursts using the BATSE Time-Tagged Event (TTE) data type. I have developed an interactive pulse-fitting program written in IDL using the phenomenological pulse model of Norris, et al., 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 de-noising algorithm. I have used this program to analyze the Time-to-Spill (TTS) data for all bursts observed by BATSE up through trigger number 2000, in all energy channels for which TTS data is available.;I present statistical information on the attributes of pulses comprising these bursts, including relations between pulse characteristics in different energy channels, and the evolution of pulse characteristics through the course of a burst. I carry out simulations to determine the biases that our procedures may introduce. Among the results are that pulses tend to have shorter rise times than decay times, and tend to be narrower and peak earlier at higher energies. I also examine correlations between brightness measures and timescale measures which may result from cosmological time dilation of bursts, or from intrinsic properties of burst sources or from selection effects. The correlations between these parameters among pulses within individual bursts give a measure of the intrinsic effects while the correlations among bursts could result both from intrinsic and cosmological effects. I find that timescales tend to be shorter in bursts with higher peak fluxes, but tend to be longer in bursts with higher total fluences. I also find that peak fluxes and total fluences of bursts are uncorrelated, indicating that they cannot both be good distance indicators for bursts.
机译:许多伽马射线脉冲的时间分布由不同的脉冲组成,这提供了使用相对较小的一组脉冲形状参数来表征这些脉冲的时间结构的可能性。以前,使用来自BATSE的合并数据对少量明亮的长脉冲样本进行脉冲分解分析,该数据有几种数据类型,对于使用BATSE时标事件(TTE)数据类型的短脉冲样本也进行了脉冲分解分析。我使用Norris等人的现象学脉冲模型开发了一个用IDL编写的交互式脉冲拟合程序,该函数采用最大似然拟合例程和半自动例程,用于从通过小波消噪算法。我已经使用此程序分析了在可用TTS数据的所有能量通道中,通过BATSE直到触发次数2000为止,BATSE观察到的所有突发的溢出时间(TTS)数据。;我提供了有关脉冲属性的统计信息包括这些脉冲串,包括不同能量通道中脉冲特征之间的关系,以及脉冲特征在脉冲串过程中的演变。我进行模拟以确定我们的程序可能会引入的偏差。在这些结果中,脉冲的上升时间比衰减的时间短,并且趋向于更窄,在更高的能量下达到峰值。我还研究了亮度量度和时间刻度量度之间的相关性,这些相关性可能是由于脉冲的宇宙学时间膨胀,脉冲源的内在特性或选择效应所导致的。这些脉冲之间的各个脉冲之间的这些参数之间的相关性提供了一种内在效应的量度,而脉冲之间的相关性可能既来自于固有效应又具有宇宙效应。我发现在具有较高峰值通量的脉冲串中时间尺度往往较短,但在具有总通量的脉冲串中时间尺度往往较长。我还发现,峰值通量和突发的总通量是不相关的,这表明它们不能同时作为突发的良好距离指标。

著录项

  • 作者

    Lee, Andrew.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Physics Astronomy and Astrophysics.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 180 p.
  • 总页数 180
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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