Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences
Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences
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DOI：
10.1103/physrevd.108.043004
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发表时间：
2023-05
影响因子：
5
通讯作者：
L. Tsukada;Prathamesh Joshi;S. Adhicary;Richard N. George;A. Guimaraes;C. Hanna;R. Magee;A. Zimmerman;Pratyusava Baral;A. Baylor;K. Cannon;S. Caudill;B. Cousins;J. Creighton;B. Ewing;H. Fong;P. Godwin;Reiko Harada;Yun-Jing Huang;R. Huxford;J. Kennington;Soichiro Kuwahara;A. Li;D. Meacher;C. Messick;S. Morisaki;D. Mukherjee;Wanting Niu;A. Pace;C. Posnansky;Anarya Ray;S. Sachdev;S. Sakon;Divya R. Singh;R. Tapia;T. Tsutsui;K. Ueno;A. Viets;L. Wade;M. Wade
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作者：
L. Tsukada;Prathamesh Joshi;S. Adhicary;Richard N. George;A. Guimaraes;C. Hanna;R. Magee;A. Zimmerman;Pratyusava Baral;A. Baylor;K. Cannon;S. Caudill;B. Cousins;J. Creighton;B. Ewing;H. Fong;P. Godwin;Reiko Harada;Yun-Jing Huang;R. Huxford;J. Kennington;Soichiro Kuwahara;A. Li;D. Meacher;C. Messick;S. Morisaki;D. Mukherjee;Wanting Niu;A. Pace;C. Posnansky;Anarya Ray;S. Sachdev;S. Sakon;Divya R. Singh;R. Tapia;T. Tsutsui;K. Ueno;A. Viets;L. Wade;M. Wade
从2023年5月开始，LIGO Scientific，Virgo和KAGRA合作计划进行第四次观测运行，提高探测器灵敏度并扩大包括KAGRA在内的探测器网络。因此，优化低延迟搜索管道的检测算法至关重要，提高它们对来自紧凑二元聚结的引力波的灵敏度。在这项工作中，我们讨论了几个新的功能开发的排名统计的GstLAL为基础的inspiral管道，其中主要包括：信号污染的去除，银行-$\xi ^2 $纳入，升级的$\rho-\xi ^2 $信号模型和KAGRA的集成。一项注入研究表明，这些新功能将管道的灵敏度提高了约15%至20%，为在即将到来的观测运行期间进一步进行多信使观测铺平了道路。
Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration is planning to conduct the fourth observing run with improved detector sensitivities and an expanded detector network including KAGRA. Accordingly, it is vital to optimize the detection algorithm of low-latency search pipelines, increasing their sensitivities to gravitational waves from compact binary coalescences. In this work, we discuss several new features developed for ranking statistics of GstLAL-based inspiral pipeline, which mainly consist of: the signal contamination removal, the bank-$\xi^2$ incorporation, the upgraded $\rho-\xi^2$ signal model and the integration of KAGRA. An injection study demonstrates that these new features improve the pipeline's sensitivity by approximately 15% to 20%, paving the way to further multi-messenger observations during the upcoming observing run.