论文标题
MLDC-3.1的银河白矮人二进制数据分析的实现
An implementation of Galactic white dwarf binary data analysis for MLDC-3.1
论文作者
论文摘要
太空传播的引力探测器将以银河系的方式观察大量的双重白矮人二进制室。但是，由于涉及大量模板和天线响应计算，重力波数据中对双白色矮人的搜索将耗时。在本文中，我们实现了一种迭代组合算法，以在MLDC-3.1数据中搜索双白色矮人。为了快速确定目标源的粗糙参数，在粗糙的搜索过程中采用了以下算法：（1）使用倒数采样方法减少原始数据点的数量； （2）使用底漆方法来加快单个波形模板的生成； （3）使用随机模板库方法快速构建波形模板库，同时获得参数空间的高覆盖范围； （4）将FFT加速度算法与随机模板库相结合，以减少单个模板的计算时间。采用精细的搜索过程来进一步确定基于粗搜索的信号参数，我们采用粒子群优化。最后，我们检测到$ \ MATHCAL {O}（10^4）$ Double White Dwarf信号，验证了我们方法的可行性。
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 detected $\mathcal{O}(10^4)$ double white dwarf signals, validating the feasibility of our method.
