Optimizing multitelescope observations of gravitational-wave counterparts
Optimizing multitelescope observations of gravitational-wave counterparts
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DOI：
10.1093/mnras/stz2485
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发表时间：
2019-09
影响因子：
4.8
通讯作者：
M. Coughlin;S. Antier;D. Corre;K. Alqassimi;S. Anand;N. Christensen;D. Coulter;R. Foley;N. Guessoum;Timothy M. Mikulski;Mouza Al Mualla;D. Reed;D. Tao
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文献类型：
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作者：
M. Coughlin;S. Antier;D. Corre;K. Alqassimi;S. Anand;N. Christensen;D. Coulter;R. Foley;N. Guessoum;Timothy M. Mikulski;Mouza Al Mualla;D. Reed;D. Tao
引力波探测器网络的灵敏度不断提高，导致在先进LIGO和先进处女座的第三次观测中，对紧凑双星合并系统的探测速度加快。不仅事件率增加了，而且可以探测到现象的距离也增加了，导致搜索对应的天空体积覆盖范围增加了。此外，探测器的改进导致发现了涉及中子星的更紧凑的双星合并，使专门的后续活动重新焕发活力。虽然科学界已经做出了巨大的努力来优化单台望远镜的观测，使用天气和星系定位方法，但在一个网络中的协调观测方面付出的努力较少。这一点正变得至关重要，因为引力波天文学的出现引起了全球范围内的兴趣，从而产生了丰富的望远镜网络，可用于搜索对应的引力波。在本文中，我们将为单望远镜开发的一些技术扩展到望远镜网络。我们描述了对这些算法的简单修改，并在现有的网络实例上进行了演示。这些算法在开源软件gwemopt中实现，由一些后续团队使用，便于更广泛的社区使用。
The ever-increasing sensitivity of the network of gravitational-wave detectors has resulted in the accelerated rate of detections from compact binary coalescence systems in the third observing run of Advanced LIGO and Advanced Virgo. Not only has the event rate increased, but also the distances to which phenomena can be detected, leading to a rise in the required sky volume coverage to search for counterparts. Additionally, the improvement of the detectors has resulted in the discovery of more compact binary mergers involving neutron stars, revitalizing dedicated follow-up campaigns. While significant effort has been made by the community to optimize single telescope observations, using both synoptic and galaxy-targeting methods, less effort has been paid to coordinated observations in a network. This is becoming crucial, as the advent of gravitational-wave astronomy has garnered interest around the globe, resulting in abundant networks of telescopes available to search for counterparts. In this paper, we extend some of the techniques developed for single telescopes to a telescope network. We describe simple modifications to these algorithms and demonstrate them on existing network examples. These algorithms are implemented in the open-source software gwemopt, used by some follow-up teams, for ease of use by the broader community.