Searching for cross-correlation between stochastic gravitational-wave background and galaxy number counts
Searching for cross-correlation between stochastic gravitational-wave background and galaxy number counts
复制标题
寻找随机引力波背景和星系计数之间的互相关性
DOI:
10.1093/mnras/staa3159
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发表时间:
2020
影响因子:
4.8
通讯作者:
Banagiri, Sharan
中科院分区:
文献类型:
--
作者:
Yang, Kate Z;Mandic, Vuk;Scarlata, Claudia;Banagiri, Sharan
Advanced Laser Interferometer Gravitational-Wave Observatory (LIGO) and Advanced Virgo have recently published the upper limit measurement of persistent directional stochastic gravitational-wave background (SGWB) based on data from their first and second observing runs. In this paper, we investigate whether a correlation exists between this maximal likelihood SGWB map and the electromagnetic (EM) tracers of matter structure in the Universe, such as galaxy number counts. The method we develop will improve the sensitivity of future searches for anisotropy in the SGWB and expand the use of SGWB anisotropy to probe the formation of structure in the Universe. In order to compute the cross-correlation, we used the spherical harmonic decomposition of SGWB in multiple frequency bands and converted them into pixel-based sky maps inhealpixbasis. For the EM part, we use the Sloan Digital Sky Survey alaxy catalogue and formhealpixsky maps of galaxy number counts at the same angular resolution as the SGWB maps. We compute the pixel-based coherence between these SGWB and galaxy count maps. After evaluating our results in different SGWB frequency bands and in different galaxy redshift bins, we conclude that the coherence between the SGWB and galaxy number count maps is dominated by the null measurement noise in the SGWB maps, and therefore not statistically significant. We expect the results of this analysis to be significantly improved by using the more sensitive upcoming SGWB measurements based on the third observing run of Advanced LIGO and Advanced Virgo.
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影响因子:
12.5
作者:
Rory J. E. Smith;E. Thrane
通讯作者:
Rory J. E. Smith;E. Thrane
影响因子:
2.9
作者:
M. Cavaglià;Ashini Modi
通讯作者:
M. Cavaglià;Ashini Modi
影响因子:
5
作者:
A. Jenkins;M. Sakellariadou;T. Regimbau;É. Slezak
通讯作者:
É. Slezak
影响因子:
5
作者:
A. Jenkins;M. Sakellariadou
通讯作者:
M. Sakellariadou
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
G. Cañas;O. Contigiani;V. Vardanyan
通讯作者:
V. Vardanyan