Identifying correlations between LIGO’s astronomical range and auxiliary sensors using lasso regression
Identifying correlations between LIGO’s astronomical range and auxiliary sensors using lasso regression
复制标题
DOI：
10.1088/1361-6382/aae593
复制
发表时间：
2018-07
影响因子：
3.5
通讯作者：
M. Walker;A. F. Agnew;J. Bidler;A. Lundgren;A. Macedo;D. Macleod;T. Massinger;O. Patane;J. Smith
中科院分区：
文献类型：
--
作者：
M. Walker;A. F. Agnew;J. Bidler;A. Lundgren;A. Macedo;D. Macleod;T. Massinger;O. Patane;J. Smith
激光干涉仪引力波天文台（LIGO）可以观测到的天体物理系统的范围随着时间的推移而变化，受到仪器及其环境噪声的限制。识别并消除限制LIGO探测范围的噪声源，可以实现更高的信噪比观测，并增加观测次数。LIGO天文台被成千上万的辅助信道持续监测，这些辅助信道可能包含有关这些噪声源的信息。本文描述了一种使用线性回归的算法，即lasso（最小绝对收缩和选择算子）回归，来分析所有这些通道，并确定其中的一小部分可用于重建LIGO天体物理范围的变化。本文给出了将该方法应用于三个不同时期的LIGO Livingston数据的示例性结果，以及计算性能和当前的局限性。
The range to which the Laser Interferometer Gravitational-Wave Observatory (LIGO) can observe astrophysical systems varies over time, limited by noise in the instruments and their environments. Identifying and removing the sources of noise that limit LIGO’s range enables higher signal-to-noise observations and increases the number of observations. The LIGO observatories are continuously monitored by hundreds of thousands of auxiliary channels that may contain information about these noise sources. This paper describes an algorithm that uses linear regression, namely lasso (least absolute shrinkage and selection operator) regression, to analyze all of these channels and identify a small subset of them that can be used to reconstruct variations in LIGO’s astrophysical range. Exemplary results of the application of this method to three different periods of LIGO Livingston data are presented, along with computational performance and current limitations.