Acquisition and analysis of time-tagged events is a ubiquitous tool in scientific and industrial applications. With increasing time resolution, number of input channels, and acquired events, the amount of data can be overwhelming for standard processing techniques. We developed the Extensible Time-tag Analyzer (ETA), a powerful and versatile, yet easy to use software to efficiently analyze and display time-tagged data. Our tool allows for flexible extraction of correlation from time-tagged data beyond start-stop measurements that were traditionally used. A combination of state diagrams and simple code snippets allows for analysis of arbitrary complexity while keeping computational efficiency high.

时间标记事件的采集和分析是科学和工业应用中无处不在的工具。随着时间分辨率、输入通道数量和采集事件的增加，数据量对于标准处理技术来说可能是压倒性的。我们开发的è xtensible牛逼IME标签一个nalyzer（ETA），一个强大和灵活的，易于使用的软件，以有效地分析和显示时间标记的数据。除了传统上使用的起止测量之外，我们的工具允许从带有时间标记的数据中灵活地提取相关性。状态图和简单代码片段的组合允许分析任意复杂性，同时保持高计算效率。