论文标题
在Advanced Ligo的第二次观察中，从十二个年轻的超新星残留物中搜索带有隐藏的马尔可夫模型的重力波
Search for gravitational waves from twelve young supernova remnants with a hidden Markov model in Advanced LIGO's second observing run
论文作者
论文摘要
来自快速旋转的中子星的持续重力波，例如在一些年轻的超新星残留物中发现的恒星，可能落入晚期激光干涉仪重力波动体（ALIGO）的灵敏度带中。搜索这些信号在计算上具有挑战性，因为频率和频率导数尚不清楚，并且由于来源的青年而迅速发展。隐藏的马尔可夫模型（HMM）与最大似然匹配的滤波器结合使用，以计算有效的方式跟踪快速频率演变半固相。我们介绍了HMM搜索的结果，该搜索针对了Advanced Ligo的第二次观察跑步数据中的12个年轻超新星残留物。六个目标会产生高于搜索阈值的候选者，并在预定义的数据质量否决下生存。但是，对这些候选人的后续分析表明，它们都与工具噪声伪像一致。
Persistent gravitational waves from rapidly rotating neutron stars, such as those found in some young supernova remnants, may fall in the sensitivity band of the advanced Laser Interferometer Gravitational-wave Observatory (aLIGO). Searches for these signals are computationally challenging, as the frequency and frequency derivative are unknown and evolve rapidly due to the youth of the source. A hidden Markov model (HMM), combined with a maximum-likelihood matched filter, tracks rapid frequency evolution semi-coherently in a computationally efficient manner. We present the results of an HMM search targeting 12 young supernova remnants in data from Advanced LIGO's second observing run. Six targets produce candidates that are above the search threshold and survive pre-defined data quality vetoes. However, follow-up analyses of these candidates show that they are all consistent with instrumental noise artefacts.
