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Statistical characterization of pulsar glitches and their potential impact on searches for continuous gravitational waves

机译:脉冲星故障的统计特征及其对连续重力波搜索的潜在影响

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Continuous gravitational waves from neutron stars could provide an invaluable resource to learn about their interior physics. A common search method involves matched filtering a modeled template against the noisy gravitational-wave data to find signals. This method suffers a mismatch (i.e., relative loss of the signal-to-noise ratio) if the signal deviates from the template. One possible instance in which this may occur is if the neutron star undergoes a glitch , a sudden rapid increase in the rotation frequency seen in the timing of many radio pulsars. In this work, we use a statistical characterization of the glitch rate and size in radio pulsars to estimate how often neutron star glitches would occur within the parameter space of continuous gravitational-wave searches and how much mismatch putative signals would suffer in the search due to these glitches. We find that for many previous and potential future searches continuous-wave signals have an elevated probability of undergoing one or more glitches and that these glitches will often lead to a substantial fraction of the signal-to-noise ratio being lost. This could lead to a failure to identify candidate gravitational-wave signals in the initial stages of a search and also to the false dismissal of candidates in subsequent follow-up stages.
机译:来自中子星的连续引力波可以为了解其内部物理学提供宝贵的资源。一种常见的搜索方法涉及针对噪声引力波数据对模型化模板进行匹配滤波以找到信号。如果信号偏离模板,则该方法遭受不匹配(即信噪比的相对损失)。发生这种情况的一种可能情况是,中子星发生毛刺,这是在许多无线电脉冲星的定时中看到的旋转频率突然急剧增加。在这项工作中,我们使用无线电脉冲星的毛刺率和大小的统计特征来估计中子星毛刺在连续重力波搜索的参数空间内发生的频率,以及由于以下原因在搜索中会遭受多少失配推定信号这些故障。我们发现,对于许多先前的和潜在的未来搜索,连续波信号具有较高的经历一个或多个毛刺的可能性,并且这些毛刺通常会导致信噪比的大部分损失。这可能导致无法在搜索的初始阶段识别候选重力波信号,也可能导致在后续的后续阶段错误地解雇候选者。

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