The detection of stochastic gravitational wave background (SGWB) is among the leading scientific goals of the space-borne gravitational wave observatory, which would have significant impact on astrophysics and fundamental physics. In this work, we developed a data analysis software, \texttt{TQSGWB}, which can extract isotropic SGWB using the Bayes analysis method based on the TianQin detector. We find that for the noise cross spectrum, there are imaginary components and they play an important role in breaking the degeneracy of the position noise in the common laser link. When the imaginary corrections are considered, the credible regions of the position noise parameters are reduced by two orders of magnitude. We demonstrate that the parameters of various signals and instrumental noise could be estimated directly in the absence of a Galactic confusion foreground through Markov chain Monte Carlo sampling. With only a three-month observation, we find that TianQin could be able to confidently detect SGWBs with energy density as low as ΩPL=1.3×10−12, ΩFlat=6.0×10−12, and ΩSP=9.0×10−12, for power-law, flat, and single-peak models respectively.
@article{arxiv.2208.11615,
title = {Detecting the stochastic gravitational wave background with the TianQin detector},
author = {Jun Cheng and En-Kun Li and Yi-Ming Hu and Zheng-Cheng Liang and Jian-dong Zhang and Jianwei Mei},
journal= {arXiv preprint arXiv:2208.11615},
year = {2023}
}