Detecting the stochastic gravitational wave background with the TianQin detector

Abstract

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 ${\Omega }_{\mathrm{PL}}=1.3\times 10^{-12}$, ${\Omega }_{\mathrm{Flat}}=6.0\times 10^{-12}$, and ${\Omega }_{\mathrm{SP}}=9.0\times 10^{-12}$, for power-law, flat, and single-peak models respectively.

28 pages, 8 figures

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Cited by in corpus (12)

• Gravitational Wave Astronomy With TianQin
• Charting the Nanohertz Gravitational Wave Sky with Pulsar Timing Arrays
• Gravitational waves from cosmic strings associated with pseudo-Nambu-Goldstone dark matter
• Impact of combinations of time-delay interferometry channels on stochastic gravitational wave background detection
• GWSpace: a multi-mission science data simulator for space-based gravitational wave detection
• Constraining the EdGB Theory with Extreme Mass-Ratio Inspirals
• Toward a test of Gaussianity of a gravitational wave background
• Distinguish the environmental effects and modified theory of gravity with multiple massive black-hole binaries
• Dealing with data gaps for TianQin with massive black hole binary signal
• Adaptive Modeling of Correlated Noise in Space-Based Gravitational Wave Detectors
• Dynamical backreaction of a mass-acquiring scalar field on first-order phase transitions
• Detection of the stochastic gravitational wave background with the space-borne gravitational-wave detector network