论文标题
用于成像大气Cherenkov望远镜的统计工具
Statistical Tools for Imaging Atmospheric Cherenkov Telescopes
论文作者
论文摘要
成像大气Cherenkov望远镜（IACTS）的发展在新千年开始时揭示了Teraelectronvolt政权中的天空，启动了所谓的“ Tev Revolution”。通过实施和适应统计工具来分析这些望远镜收集的淋浴图像并推断产生此类事件的天体物理来源的特性，还可以促进这场革命。图像重建技术，背景歧视和信号检测分析只是近几十年来IACTS数据分析中应用的一些开创性研究。此（简洁的）审查的目的是总结最常见的统计工具，用于分析使用IACTS收集的数据，重点关注其在完整分析链中的应用，包括对现有文献进行更深入研究的参考。
The development of Imaging Atmospheric Cherenkov Telescopes (IACTs) unveiled the sky in the teraelectronvolt regime, initiating the so-called "TeV revolution", at the beginning of the new millennium. This revolution was also facilitated by the implementation and adaptation of statistical tools for analyzing the shower images collected by these telescopes and inferring the properties of the astrophysical sources that produce such events. Image reconstruction techniques, background discrimination, and signal-detection analyses are just a few of the pioneering studies applied in recent decades in the analysis of IACTs data. This (succinct) review has the intent of summarizing the most common statistical tools that are used for analyzing data collected with IACTs, focusing on their application in the full analysis chain, including references to existing literature for a deeper examination.
