GstLAL 致密双星并合旋进搜索的改进排序统计量
天体物理仪器与方法
2023-08-16 v2 广义相对论与量子宇宙学
摘要
自 2023 年 5 月起，LIGO 科学、Virgo 与 KAGRA 合作组计划以提升的探测器灵敏度及包含 KAGRA 的扩展探测器网络开展第四次观测运行。相应地，优化低延迟搜索管线的探测算法、提升其对致密双星并合引力波的灵敏度至关重要。本工作中，我们讨论了为基于 GstLAL 的旋进管线排序统计量开发的若干新特性，主要包括：信号污染去除、bank- 引入、升级的 信号模型以及 KAGRA 的整合。注入研究表明，这些新特性使管线灵敏度提升约 15% 至 20%，为即将到来的观测运行中进一步的多信使观测铺平道路。
引用
@article{arxiv.2305.06286,
title = {Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences},
author = {Leo Tsukada and Prathamesh Joshi and Shomik Adhicary and Richard George and Andre Guimaraes and Chad Hanna and Ryan Magee and Aaron Zimmerman and Pratyusava Baral and Amanda Baylor and Kipp Cannon and Sarah Caudill and Bryce Cousins and Jolien D. E. Creighton and Becca Ewing and Heather Fong and Patrick Godwin and Reiko Harada and Yun-Jing Huang and Rachael Huxford and James Kennington and Soichiro Kuwahara and Alvin K. Y. Li and Duncan Meacher and Cody Messick and Soichiro Morisaki and Debnandini Mukherjee and Wanting Niu and Alex Pace and Cort Posnansky and Anarya Ray and Surabhi Sachdev and Shio Sakon and Divya Singh and Ron Tapia and Takuya Tsutsui and Koh Ueno and Aaron Viets and Leslie Wade and Madeline Wade},
journal= {arXiv preprint arXiv:2305.06286},
year = {2023}
}
备注
13pages, 6figures