首页|Advancing space-based gravitational wave astronomy:Rapid parameter estimation via normalizing flows

Advancing space-based gravitational wave astronomy:Rapid parameter estimation via normalizing flows

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Gravitational wave(GW)astronomy is witnessing a transformative shift from terrestrial to space-based detection,with missions like Taiji at the forefront.While the transition brings unprecedented opportunities for exploring massive black hole binaries(MBHBs),it also imposes complex challenges in data analysis,particularly in parameter estimation amidst confusion noise.Addressing this gap,we utilize scalable normalizing flow models to achieve rapid and accurate inference within the Taiji en-vironment.Innovatively,our approach simplifies the data's complexity,employs a transformation mapping to overcome the year-period time-dependent response function,and unveils additional multimodality in the arrival time parameter.Our method estimates MBHBs several orders of magnitude faster than conventional techniques,maintaining high accuracy even in complex backgrounds.These findings significantly enhance the efficiency of GW data analysis,paving the way for rapid detection and alerting systems and enriching our ability to explore the universe through space-based GW observation.

Taiji programgravitational wave detectionparameter estimationmachine learning

Minghui Du、Bo Liang、He Wang、Peng Xu、Ziren Luo、Yueliang Wu

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Center for Gravitational Wave Experiment,National Microgravity Laboratory,Institute of Mechanics,Chinese Academy of Sciences,Beijing 100190,China

Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province,Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,China

Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China

Taiji Laboratory for Gravitational Wave Universe(Beijing/Hangzhou),University of Chinese Academy of Sciences,Beijing 100049,China

International Centre for Theoretical Physics Asia-Pacific,University of Chinese Academy of Sciences,Beijing 100049,China

Lanzhou Center of Theoretical Physics,Lanzhou Universi

Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,China

Institute of Theoretical Physics,Chinese Academy of Sciences,Beijing 100190,China

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国家重点研发计划国家重点研发计划国家自然科学基金国家自然科学基金中央高校基本科研业务费专项

2021YFC22030042021YFC22019031214710312247187

2024

10.1007/s11433-023-2270-7

中国科学:物理学 力学 天文学(英文版)
中国科学院

中国科学:物理学 力学 天文学(英文版)

CSTPCD
影响因子：0.91
ISSN：1674-7348
年,卷(期)：2024.67(3)
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