Scholarlink

Purpose <p>In experiments with multiple detectors, independent data acquisition systems may share a common external trigger signal and produce asynchronous data streams. This paper presents a method for identifying and aligning corresponding events across the data streams with their own timestamps for offline data analysis.</p> Methods <p>The method is based on the time intervals between consecutive events to match events.</p> Results <p>Validation using beam test data demonstrates a high matching efficiency of 99.37%.</p> Conclusion <p>The method provides a reliable and robust solution for offline event matching in independent data acquisitions sharing a common external trigger signal.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Time-interval-based event matching method for asynchronous data streams

  • 期刊论文

  • 发表日期：

    2026年7月30日

查看全文
  • Yuhang You,
  • Zhicheng Tang,
  • Cheng Zhang,
  • Senquan Lu,
  • Zetong Sun,
  • Shanglin Li,
  • Haotian Yang,
  • Hao Chen,
  • Hengyi Cai,
  • Zixuan Yan,
  • Ye Tian,
  • Hongqing Wu,
  • Zuhao Li

摘要

Purpose

In experiments with multiple detectors, independent data acquisition systems may share a common external trigger signal and produce asynchronous data streams. This paper presents a method for identifying and aligning corresponding events across the data streams with their own timestamps for offline data analysis.

Methods

The method is based on the time intervals between consecutive events to match events.

Results

Validation using beam test data demonstrates a high matching efficiency of 99.37%.

Conclusion

The method provides a reliable and robust solution for offline event matching in independent data acquisitions sharing a common external trigger signal.