2026/03/23 by Qingyuan Liang, Chen Yang, Haipeng An +1
Physics and Astronomy · #Bayesian probability #Cosmology and Gravitation Theories #Detector #Gravitational wave #Gravitational wave background #Phase (matter) #Phase transition #Pulsars and Gravitational Waves Research #Stability (learning theory) #Statistical Mechanics and Entropy
paper · pdf · doi:10.1103/h3mz-cckw
openalex publication_date 2026/06/23 · openalex created_date 2026/06/24 · openalex updated_date 2026/08/05
Inflationary phase transitions can generate a stochastic gravitational-wave background that probes primordial physics. We study the detectability and parameter reconstruction of such a signal with a space-based gravitational-wave detector. Using a Taiji-like mission as a benchmark, we construct a realistic data-analysis framework that includes instrumental noise, astrophysical foregrounds and backgrounds, and the A, E, and T time-delay interferometry channels. The target signal is described in a minimal, model-independent form and analyzed using both Fisher-matrix forecasts and Bayesian inference with nested sampling. We quantify detection significance and parameter-recovery thresholds, showing that, while detection is achievable at moderate signal-to-noise ratios, stronger signals provide more reliable parameter reconstruction. These results offer a realistic assessment of the capability of future space-based missions to probe inflationary phase transitions through stochastic gravitational radiation.