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作 者:袁修林 韦联福 郑昊 石兵 李芳昱[3] YUAN XiuLin;WEI LianFu;ZHENG Hao;SHI Bing;LI FangYu(Information Quantum Technology Laboratory,School of Information Science and Technology,Southwest Jiaotong University,Chengdu 610031,China;School of Physics,Sun Yat-sen University,Guangzhou 529006,China;School of Physics,Chongqing University,Chongqing 610031,China)
机构地区:[1]西南交通大学信息科学与技术学院,信息量子技术实验室,成都610031 [2]中山大学物理学院,广州529006 [3]重庆大学物理学院,重庆610031
出 处:《中国科学:物理学、力学、天文学》2022年第12期61-70,共10页Scientia Sinica Physica,Mechanica & Astronomica
基 金:国家自然科学基金(编号:11974290)资助项目。
摘 要:引力波探测是一种强噪声背景中的微弱信号检测问题,因而不但需要建造极为灵敏的探测装置来实现信号检测,还需要建立在大量噪声中实现信号识别的数据处理方法.不同于相对成熟的面向中、低频引力波天体物理源的激光干涉引力波力学潮汐效应探测系统,本文基于调制强磁场中高频引力波电磁响应探测方案,模拟产生一系列强随机噪声背景下的时域高频随机引力波探测数据;进而利用两台异地同步探测装置模拟探测数据的互相关特性,实现模拟高频随机引力波信号的有效识别,供未来建造瞄准众多宇宙学模型所预期的高频段随机引力波符合探测装置参考.Gravitational wave(GW)detection is a typical open problem for extracting a significantly weak signal from a strong noise background.Therefore,in addition to building extremely sensitive detection installations to achieve the desired signal detection,a highly efficient data processing method is particularly important for identifying the detected signal.Different from the detection of mid and low frequency astrophysical source gravitational waves using laser interferometers,here we focus on the electromagnetic response detection of high-frequency gravitational waves using the modulated strong magnetic field technique.We discuss how to identify the stochastic gravitational wave signals from a strong background of Gaussian white noise by simulating the generation of a series of high-frequency stochastic gravitational wave detection data in the time domain.It is shown that,based on cross-correlation between the detection data obtained by two geosynchronous detection transpositions,the simulated high-frequency stochastic gravitational wave signals can be effectively identified.The current work should be useful in the future for constructing coincidence detection installations to probe the relevant high-frequency stochastic gravitational waves.
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