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.
翻译:在新千年开始之际,利用所谓的“TeV革命”,在地电热伏尔特政权中揭晓了天空,并启动了所谓的“TeV革命”,通过应用和调整统计工具,分析这些望远镜所收集的淋浴图像,并推断产生此类事件的天体物理来源的特性,也促进了这一革命。图像重建技术、背景歧视和信号探测分析只是近几十年来在分析地电热数据中应用的一些开创性研究。这次(succnct)审查的目的是总结用于分析通过电算中心收集的数据的最常用统计工具,重点是在全面分析链中应用这些工具,包括参考现有文献进行更深入的研究。