Resolving Galactic binaries using a network of space-borne gravitational wave detectors

Extracting gravitational wave (GW) signals from individual Galactic binaries (GBs) against their self-generated confusion noise is a key data analysis challenge for space-borne detectors operating in the $\approx 0.1$ mHz to 10$ range. Given likely prospect that there will be multiple such detectors, namely LISA, Taiji, and Tianqin, with overlapping operational periods next decade, it important examine extent which joint of can benefit GB resolution parameter estimation. To investigate this, we use realistic simulated LISA Taiji containing set $30\times 10^6$ GBs used first (Radler), an iterative source extraction method called GBSIEVER introduced earlier work. We find coherent network LISA-Taiji boosts number confirmed sources by 75\%$ over single detector. The residual after subtracting out reported any one much closer expected ideal, but infeasible, multisource perfectly removes all above given signal-to-noise ratio threshold. While estimation common both detector improves broadly line enhanced signal GW latter, deviation scaling error variance predicted Fisher information observed subset parameters.