Machine Learning in Gravitational Wave Data Analysis
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Machine Learning in Gravitational Wave Data Analysis
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Abstract
自2015年引力波被美国LIGO首次直接探测以来，我们已探测到超过100例引力波事件。和理论预期的一致，双黑洞并合、双中子星并合和黑洞中子星并合都已被成功观测到。随着探测技术的不断进步，越来越多的引力波事件有望被探测到，这不仅要求我们要进一步提高引力波数据处理的速度和性能，也意味着发现完全未知的波源和引力波信号需求的增长。相比于传统的数据处理方式而言，机器学习技术非常有望解决上述提到的技术难题和科学问题。本报告将对机器学习引力波数据分析等相关研究进展进行概述，对机器学习方法所带来的机遇与挑战做粗浅的讨论。
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