LHC新物理学研究的统计挑战
Statistical Challenges for Searches for New Physics at the LHC
摘要：
由于大型强子对撞机的重点是5西格玛发现和大型强子对撞机环境诱导高系统误差，许多常用的统计程序在高能物理是不够的。我回顾了大型强子对撞机搜索的基本成分，分类学的来源，以及几种方法的性能。最后，我指出的方法，似乎最有前途的大型强子对撞机和领域，需要进一步研究。
英文摘要：
Because the emphasis of the LHC is on 5 sigma discoveries and the LHC environment induces high systematic errors, many of the common statistical procedures used in High Energy Physics are not adequate. I review the basic ingredients of LHC searches, the sources of systematics, and the performance of several methods. Finally, I indicate the methods that seem most promising for the LHC and areas that are in need of further study.
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。
