The space-based gravitational wave detector Laser Interferometric Space Antenna is expected to observe signals from a large population of compact object binaries, comprised predominantly of white dwarfs, in the Milky Way. Resolving individual sources from this population against its self-generated confusion noise poses a major data analysis problem. We present an iterative source estimation and subtraction method to address this problem based on the use of particle swarm optimization (PSO). In addition to PSO, a novel feature of the method is the cross-validation of sources estimated from the same data using different signal parameter search ranges. This is found to greatly reduce contamination by spurious sources and may prove to be a useful addition to any multisource resolution method. Applied to a recent mock data challenge, the method is able to find O(104) Galactic binaries across a signal frequency range of [0.1, 15] mHz and, for frequency ≳4 mHz, reduces the residual data after subtracting out estimated signals to the instrumental noise level.
Zhang, Xue-Hao, Soumya D. Mohanty, Xiao-Bo Zou, and Yu-Xiao Liu. 2021. “Resolving Galactic Binaries in LISA Data Using Particle Swarm Optimization and Cross-Validation.” Physical Review D 104 (2): 024023. https://doi.org/10.1103/PhysRevD.104.024023.
Physical Review D