大型强子对撞机的统计和发现Statistics and Discoveries at the LHC |
|
课程网址: | http://videolectures.net/cernacademictraining2010_cowan_statistic... |
主讲教师: | Glen Cowan |
开课单位: | 伦敦大学学院 |
开课时间: | 2011-10-11 |
课程语种: | 英语 |
中文简介: | 这些讲座将介绍粒子物理学中应用的统计学,并将为大型强子对撞机的数据分析提供所有必要的基础知识。 将特别强调在寻找新现象时出现的问题和问题,包括p值,发现意义,极限设定程序,在大背景下处理小信号。 将要解决的具体问题包括不同统计检验程序(基于切割,似然比等)的优缺点,外观效应和系统不确定性的处理。 |
课程简介: | The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties. |
关 键 词: | 粒子物理学; 统计学; 大型强子对撞机; 数据分析 |
课程来源: | 视频讲座网 |
最后编审: | 2020-10-22:chenxin |
阅读次数: | 51 |