GstLAL: A software framework for gravitational wave discovery
GstLAL: A software framework for gravitational wave discovery
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DOI：
10.1016/j.softx.2021.100680
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发表时间：
2020-10
期刊：
影响因子：
3.4
通讯作者：
K. Cannon;S. Caudill;C. Chan;B. Cousins;J. Creighton;B. Ewing;H. Fong;P. Godwin;C. Hanna
中科院分区：
文献类型：
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作者：
K. Cannon;S. Caudill;C. Chan;B. Cousins;J. Creighton;B. Ewing;H. Fong;P. Godwin;C. Hanna
GstLAL库源自Gstreamer和LIGO算法库，支持基于流的引力波数据处理方法。虽然GstLAL主要是为了寻找黑洞和中子星合并的引力波特征，但它也为其他引力波搜索，数据校准和探测器表征工作做出了贡献。GstLAL在所有LIGO-Virgo合作探测中发挥了不可或缺的作用，其低延迟配置使数十个紧凑型二元候选者的快速电磁跟踪成为可能。
The GstLAL library, derived from Gstreamer and the LIGO Algorithm Library, supports a stream-based approach to gravitational-wave data processing. Although GstLAL was primarily designed to search for gravitational-wave signatures of merging black holes and neutron stars, it has also contributed to other gravitational-wave searches, data calibration, and detector-characterization efforts. GstLAL has played an integral role in all of the LIGO-Virgo collaboration detections, and its low-latency configuration has enabled rapid electromagnetic follow-up for dozens of compact binary candidates.