Extracting galactic binary signals from the first round of Mock LISA Data Challenges
Extracting galactic binary signals from the first round of Mock LISA Data Challenges
We report on the performance of an end-to-end Bayesian analysis pipeline for detecting and characterizing galactic binary signals in simulated LISA data. Our principal analysis tool is the blocked-annealed Metropolis–Hasting (BAM) algorithm, which has been optimized to search for tens of thousands of overlapping signals across the LISA band. The …