LISA Pipeline for Detecting Stellar-Mass Binary Black Holes

This paper introduces a comprehensive pipeline designed for the detection and characterization of gravitational waves (GWs) emitted by the inspiral of stellar-mass binary black holes, utilizing data from the Laser Interferometer Space Antenna (LISA). The analysis framework is built upon an efficient time-frequency implementation of an adaptive semi-coherent detection statistic. This approach demonstrates robustness against non-stationary noise and the presence of gaps of varying duration and cadence within the data. The search is capable of detecting signals with coherent signal-to-noise ratios as low as approximately 11-14 across the full parameter space of binary black holes with spins aligned to the orbital angular momentum and orbital eccentricity less than or equal to 0.01, when deployed on the 2-year-long LISA Data Challenge Yorsh. Notably, the search can be executed within a single day using approximately 40 GPUs, highlighting its computational efficiency. The techniques presented in this work have broader applicability within GW astronomy, particularly in the search for extreme-mass-ratio inspirals within LISA data. This development represents a significant advancement in the tools available for analyzing LISA data and extracting valuable information about binary black hole systems and other GW sources. The pipeline's efficiency and robustness will likely contribute to future discoveries in the field of gravitational wave astronomy.

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