GSTLAL：重力波发现的软件框架

论文标题

GSTLAL：重力波发现的软件框架

GstLAL: A software framework for gravitational wave discovery

论文作者

Cannon, Kipp, Caudill, Sarah, Chan, Chiwai, Cousins, Bryce, Creighton, Jolien D. E., Ewing, Becca, Fong, Heather, Godwin, Patrick, Hanna, Chad, Hooper, Shaun, Huxford, Rachael, Magee, Ryan, Meacher, Duncan, Messick, Cody, Morisaki, Soichiro, Mukherjee, Debnandini, Ohta, Hiroaki, Pace, Alexander, Privitera, Stephen, de Ruiter, Iris, Sachdev, Surabhi, Singer, Leo, Singh, Divya, Tapia, Ron, Tsukada, Leo, Tsuna, Daichi, Tsutsui, Takuya, Ueno, Koh, Viets, Aaron, Wade, Leslie, Wade, Madeline

论文摘要

GSTLAL库是从GSTREAMER和LIGO算法库中得出的，它支持一种基于流的引力波数据处理的方法。尽管GSTLAL的主要目的是搜索合并黑洞和中子星的重力波签名，但它也有助于其他重力波搜索，数据校准和检测器 - 特征化工作。 GSTLAL在所有Ligo-Virgo协作检测中都发挥了不可或缺的作用，其低延迟配置已实现了数十个紧凑型二进制候选者的快速电磁随访。

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.

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