5 papers
Full-Covariance Bayesian Inference of Stochastic Gravitational Wave Backgrounds with Time-Domain Simulations for Taiji-like Missions
Qingyuan Liang, Ju Chen, Minghui Du +1
For Taiji-like missions, we implement a Bayesian spectral inference framework that combines second-generation time-domain (TD) simulations of time-delay interferometry (TDI) with a…
Inflationary phase transitions in the early Universe: A Bayesian study with space-based gravitational-wave detectors
Qingyuan Liang, Chen Yang, Haipeng An +1
Inflationary phase transitions can generate a stochastic gravitational-wave background that probes primordial physics. We study the detectability and parameter reconstruction of su…
Measuring gravitational wave spectrum from electroweak phase transition and Higgs self-couplings
Shuo Guan, Huai-Ke Guo, Dian Jiao +3
In this work, we demonstrate the complete process of using space-based gravitational wave detectors to measure properties of the stochastic gravitational wave background arising fr…
Growth of Gravitational Wave Spectrum from Sound Waves in a Universe with Generic Expansion Rate
Yang Xiao, Huai-Ke Guo, Jiahang Hu +2
We derive a compact analytical expression for the growth factor , which characterizes how the gravitational wave spectrum sourced by sound waves evolves in a universe with a gen…
A Precise Fitting Formula for Gravitational Wave Spectra from Phase Transitions
Huai-ke Guo, Fazlollah Hajkarim, Kuver Sinha +2
Obtaining a precise form for the predicted gravitational wave (GW) spectrum from a phase transition is a topic of great relevance for beyond Standard Model (BSM) physicists. Curren…