首页> 外文OA文献 >Detecting a stochastic background of gravitational waves in the presence of non-Gaussian noise: A performance of generalized cross-correlation statistic
【2h】

Detecting a stochastic background of gravitational waves in the presence of non-Gaussian noise: A performance of generalized cross-correlation statistic

机译:在存在时检测引力波的随机背景   非高斯噪声:广义互相关的表现   统计

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

We discuss a robust data analysis method to detect a stochastic background ofgravitational waves in the presence of non-Gaussian noise. In contrast to thestandard cross-correlation (SCC) statistic frequently used in the stochasticbackground searches, we consider a {\it generalized cross-correlation} (GCC)statistic, which is nearly optimal even in the presence of non-Gaussian noise.The detection efficiency of the GCC statistic is investigated analytically,particularly focusing on the statistical relation between the false-alarm andthe false-dismissal probabilities, and the minimum detectable amplitude ofgravitational-wave signals. We derive simple analytic formulae for thesestatistical quantities. The robustness of the GCC statistic is clarified basedon these formulae, and one finds that the detection efficiency of the GCCstatistic roughly corresponds to the one of the SCC statistic neglecting thecontribution of non-Gaussian tails. This remarkable property is checked byperforming the Monte Carlo simulations and successful agreement betweenanalytic and simulation results was found.
机译:我们讨论了一种可靠的数据分析方法,可以在存在非高斯噪声的情况下检测重力波的随机背景。与随机背景搜索中经常使用的标准互相关(SCC)统计数据相比,我们认为{\ it广义互相关}(GCC)统计数据即使在存在非高斯噪声的情况下也几乎是最佳的。对GCC统计量的效率进行了分析研究,重点研究了虚警概率与虚假概率之间的统计关系,以及重力波信号的最小可检测幅度。我们为这些统计量导出简单的解析公式。基于这些公式,阐明了GCC统计量的鲁棒性,发现GCC统计量的检测效率大致对应于SCC统计量之一,而忽略了非高斯尾部的贡献。通过执行蒙特卡洛模拟来检验这种非凡的性能,并在分析结果和模拟结果之间找到了成功的一致性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号