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Jan, 2024
cDVGAN:一种灵活的多类引力波信号和故障生成模型
cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation
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Tom Dooney, Lyana Curier, Daniel Tan, Melissa Lopez, Chris Van Den Broeck...
TL;DR
利用cDVGAN生成的合成数据可以提高波形信号搜索、机器学习数据集平衡和检测方案验证等任务的效果,其在模拟代表引力波与探测器故障的时域观测数据方面具有优于其他基准GAN模型的性能。
Abstract
Simulating realistic
time-domain observations
of
gravitational waves
(GWs) and
gw detector glitches
can help in advancing GW data analysis
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