arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0711.0433astro-ph
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Swift-XRT数据的自动分析

Automatic analysis of Swift-XRT data

P. A. Evans, L. G. Tyler, A. P. Beardmore, J. P. Osborne

摘要:

雨燕航天器每年探测和自主观测约100个伽马射线暴(GRB),其中约96%由X射线望远镜(XRT)探测到。伽玛射线暴伴随着光学瞬变,在过去几年中,伽玛射线暴的地面跟踪领域已经大大扩展,快速响应仪器能够在几分钟的时间尺度上对Swift触发作出响应。为了最有效地利用有限的望远镜时间,后续天文学家需要在触发后尽快获得伽玛暴的准确位置。此外,在考虑观测策略时,X射线光变曲线等信息也很重要。莱斯特大学的Swift团队已经开发出技术来提高XRT提供的GRB位置的准确性,并产生科学级的GRB X射线光曲线。这些技术是完全自动化的,一旦有数据就立即执行。

英文摘要:

The Swift spacecraft detects and autonomously observes ~100 Gamma Ray Bursts (GRBs) per year, ~96% of which are detected by the X-ray telescope (XRT). GRBs are accompanied by optical transients and the field of ground-based follow-up of GRBs has expanded significantly over the last few years, with rapid response instruments capable of responding to Swift triggers on timescales of minutes. To make the most efficient use of limited telescope time, follow-up astronomers need accurate positions of GRBs as soon as possible after the trigger. Additionally, information such as the X-ray light curve, is of interest when considering observing strategy. The Swift team at Leicester University have developed techniques to improve the accuracy of the GRB positions available from the XRT, and to produce science-grade X-ray light curves of GRBs. These techniques are fully automated, and are executed as soon as data are available.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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