高能天体物理中的数据分析
Notes on the data analysis in high-energy astrophysics
摘要：
这些笔记最初是作为我在暑期学校伽马射线天体物理学和多频：数据分析和天体粒子问题上所讲课程的附加材料而准备的，该课程由佩鲁贾大学物理系（意大利）于2006年7月3日至7日组织。由于课程时间有限，不得不对主题进行激烈的选择，因此，我认为用这几页中的注释来完成演示文稿的幻灯片是有用的。这些笔记是大学课程的理论方法和实际使用实践之间的一种“联系”。在这些年里，我已经看到，这份材料是有用的学生开始他们的论文的基础上使用和解释的数据从X和伽马射线卫星的研究课题。因此，我想更新这些笔记的内容，将它们翻译成英文并发布在arXiv上，以便让更多的公众可以使用它们，希望能给其他初学者提供有用的帮助。由于公众基本上是由毕业生组成，我已经假设了基础天体物理学，物理科学仪器的原理和统计分析的基础知识。因此，我把笔记集中在实际问题上，并给出了一些参考书目，只是一些建议，只是为了提请注意一些对于大学课程来说过于详细的问题。尽管如此，对于那些想要进一步探索这些主题的人来说，参考书目也应该是一个很好的起点。
英文摘要：
These notes were originally prepared as additional material for the lessons I have given at the summer school Gamma-ray Astrophysics and Multifrequency: Data analysis and astroparticle problems, organized by the Department of Physics of the University of Perugia (Italy) on July 3-7, 2006. The necessarily limited time of the lessons forced to a drastic selection of the topics and, therefore, I have thought it was useful to complete the slides of the presentation with the notes you find in these few pages. These notes are a kind of ``link'' between the theoretical approach of the University lessons and the practice of the real use. During these years, I have seen that this material is useful for students that are beginning their thesis on research topics based on the use and the interpretation of data from X- and gamma-ray satellites. Therefore, I have thought to update the content of these notes, to translate them into English and to post on arXiv, in order to make them available to a larger public, hoping to give a useful help to other beginners. Since the public is basically composed of graduating students, I have assumed a well-grounded knowledge of basic astrophysics, the principles of instrumentation for physical sciences and the statistical analysis. Therefore, I have focused my notes on the practical issues and given some bibliographic references, just some advice, just to draw the attention on some points that are too much detailed for a university lesson. Nevertheless, the bibliography should be also a good starting point for those who want to further explore these topics.
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。
