论文标题
前景清洁和无模板随机背景提取丽莎
Foreground cleaning and template-free stochastic background extraction for LISA
论文作者
论文摘要
基于Ligo和Pirgo测量的分辨出恒星起源黑洞和中子星的合并的速度，预计这些检测器还会在达到设计敏感性时观察到未解决的随机引力背景（SGWB）。由于Ligo和处女座观察到的相同的二进制物在其轨道演化的早期阶段通过Lisa MHz频带，因此可以预见的是，Lisa也可以通过信号比（SNR）$ \ sim 53 $观察到其SGWB。与银河白矮人二进制文件的随机信号不同，预期通过利用其年度调节（由丽莎星座的运动引起的），预计可以减税，未解决的恒星源头黑洞和中子星的背景可以作为其他随机信号的前景，也可以呈现出cosmolys或天文学的其他构成，可能会出现lis orsal of sateropsical of lis of lis of lis of lis of lis of lis or lis sar lis or lis or ins lis of lis of lim sar lim sar lis lim ris of lim ins lis of lim ins lis。在这里，我们采用主成分分析来建模和提取丽莎频段中的其他假设SGWB，而无需对其光谱形状进行任何先验假设。同时，我们考虑了恒星起源黑洞和中子星的前景，以及丽莎噪声校准中可能的不确定性。我们发现我们的技术导致了线性问题，因此适用于SNR的快速和可靠提取SNR的快速和可靠提取，其比Ligo/Pirgo前景弱十倍，这完全独立于其频谱形状。
Based on the rate of resolved stellar origin black hole and neutron star mergers measured by LIGO and Virgo, it is expected that these detectors will also observe an unresolved Stochastic Gravitational Wave Background (SGWB) by the time they reach design sensitivity. Since the same binaries observed by LIGO and Virgo pass through the LISA mHz frequency band at an earlier stage of their orbital evolution,it is foreseen that their SGWB will also be observable by LISA with Signal to Noise Ratio (SNR) $\sim 53$. Unlike the stochastic signal from Galactic white dwarf binaries, for which a subtraction is expected to be possible by exploiting its yearly modulation (induced by the motion of the LISA constellation), the background from unresolved stellar origin black hole and neutron star binaries acts as a foreground for other stochastic signals of cosmological or astrophysical origin, which may also be present in the LISA band. Here, we employ a principal component analysis to model and extract an additional hypothetical SGWB in the LISA band, without making any a priori assumptions on its spectral shape. At the same time, we account for the presence of the foreground from stellar origin black holes and neutron stars, as well as for possible uncertainties in the LISA noise calibration. We find that our technique leads to a linear problem and is therefore suitable for fast and reliable extraction of SGWBs with SNR up to ten times weaker than the LIGO/Virgo foreground, quite independently of their spectral shape.
