Evans 2008 自动分析XRT的数据
主要内容:
分析方法不感兴趣. 不过文中列出来318个暴的XRT数据, 值得参考. 文中也说网上有数据, 但列的网站太多了, 估计是在XRT的官网上吧, 比如:
http://www.swift.ac.uk/xrt_curves/
精彩摘抄:
文章信息:
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Title: | Methods and results of an automatic analysis of a complete sample of Swift-XRT observations of GRBs | |
Authors: | Evans, P. A.; Beardmore, A. P.; Page, K. L.; Osborne, J. P.; O'Brien, P. T.; Willingale, R.; Starling, R. L. C.; Burrows, D. N.; Godet, O.; Vetere, L.; Racusin, J.; Goad, M. R.; Wiersema, K.; Angelini, L.; Capalbi, M.; Chincarini, G.; Gehrels, N.; Kennea, J. A.; Margutti, R.; Morris, D. C.; Mountford, C. J.; Pagani, C.; Perri, M.; Rol, E.; Romano, P.; Tanvir, N. | |
Publication: | eprint arXiv:0812.3662 | |
Publication Date: | 12/2008 | |
Origin: | ARXIV | |
Keywords: | Astrophysics | |
Comment: | Submitted to MNRAS. 21 pages inc. 11 figures, plus 38 pages of tables | |
Bibliographic Code: | 2008arXiv0812.3662E |
Abstract
We present a homogeneous X-ray analysis of all 318 Gamma Ray Bursts detected by the X-ray Telescope on the Swift satellite up to 2008 July 23; this represents the largest sample of X-ray GRB data published to date. In Sections 2--3 we detail the methods which the Swift-XRT team has developed to produce the enhanced positions, light curves, hardness ratios and spectra presented in this paper. Software using these methods continues to create such products for all new GRBs observed by the Swift-XRT. We also detail web-based tools allowing users to create these products for any object observed by the XRT, not just GRBs. In Sections 4--6 we present the results of our analysis of GRBs, including probability distribution functions of the temporal and spectral properties of the sample. We demonstrate evidence for a consistent underlying behaviour which can produce a range of light curve morphologies, and attempt to interpret this behaviour in the framework of external forward shock emission. We find several difficulties, in particular that reconciliation of our data with the forward shock model requires energy injection to continue for days to weeks.Bibtex entry for this abstract Preferred format for this abstract (see Preferences)
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