摘要
The space-borne gravitational wave detectors will observe a large population of double white dwarf binaries in the Milky Way.However,the search for double white dwarfs in the gravitational wave data will be time-consuming due to the large number of templates involved and antenna response calculation.In this paper,we implement an iterative combinatorial algorithm to search for double white dwarfs in MLDC-3.1 data.To quickly determine the rough parameters of the target sources,the following algorithms are adopted in a coarse search process:(1)using the downsampling method to reduce the number of original data points;(2)using the undersampling method to speed up the generation of a single waveform template;(3)using the stochastic template bank method to quickly construct the waveform template bank while achieving high coverage of the parameter space;(4)combining the FFT acceleration algorithm with the stochastic template bank to reduce the calculation time of a single template.A fine search process is applied to further determine the parameters of the signals based on the coarse search,for which we adopt the particle swarm optimization.Finally,we detect O(10^(4))double white dwarf signals,validating the feasibility of our method.
作者
卢杨
李恩坤
胡一鸣
张建东
梅健伟
Yang Lu;En-Kun Li;Yi-Ming Hu;Jian-dong Zhang;Jianwei Mei(MOE Key Laboratory of TianQin Mission,TianQin Research Center for Gravitational Physics&School of Physics and Astronomy,Frontiers Science Center for TianQin,Gravitational Wave Research Center of CNSA,Sun Yat-sen University(Zhuhai Campus),Zhuhai 519082,China)
基金
supported by the Guangdong Major Project of Basic and Applied Basic Research(Grant No.2019B030302001)
the National Natural Science Foundation of China(NSFC,Grant No.12173104)
the fellowship of China Postdoctoral Science Foundation(Grant No.2021M703769)
the Natural Science Foundation of Guangdong Province of China(Grant No.2022A1515011862)
the support by National Supercomputer Center in Guangzhou。