不可逆转性:用于评估和操纵现实世界时间序列的时间不可逆转性的Python包
1Instituto de Física Interdisciplinar y Sistemas Complejos CSIC-UIB, Edifici Complex de Recerca de les Illes Balears, Parc Bit, E-07120 Palma de Mallorca, Spain.
Entropy (Basel, Switzerland)
|November 26, 2025
概括
本研究介绍了"不可逆转性",这是一个用于分析时间序列数据的Python包. 它提供各种指标和测试,以检测动态系统中的时间不可逆性,提高数据分析可重现性.
科学领域:
- 物理 物理学 物理
- 计算机科学 计算机科学
- 数据分析 数据分析
背景情况:
- 不可逆性的理论基础可以追溯到统计物理学.
- 在现实世界时间序列中对不可逆转性的分析是最近的发展.
研究的目的:
- 引入一个名为"不可逆转性"的开源Python包 (版本≥3.11).
- 为动态系统和时间序列分析提供一套全面的不可逆性指标和测试.
- 促进这些测试的实际应用和比较.
主要方法:
- 开发一个开源的Python包 ("不可逆转性").
- 包括各种不可逆转度指标和统计测试.
- 用于时间序列操纵的实用函数的集成 (下方采样,参数优化).
主要成果:
- "不可逆转性"套件提供了一个统一的软件解决方案,用于分析现实世界的时间序列数据.
- 研究人员现在可以轻松地比较多个测试,以便更好地理解系统动态.
- 该套件简化了在不可逆转性分析中获得可重现的结果.
结论:
- "不可逆转性"方案使时间序列不可逆转性的分析变得民主化.
- 它为研究人员提供了研究复杂系统中的时间方向性的工具.
- 该方案旨在促进统计物理和数据科学领域的可重复的科学研究.
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