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Detection and Prediction of Future Massive Black Hole Mergers with Machine Learning and Truncated Waveforms
Niklas Houba, Stefan H. Strub, Luigi Ferraioli +1
We present a novel machine learning framework tailored to detect massive black hole binaries observed by spaceborne gravitational wave detectors like the Laser Interferometer Space…
Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries
Stefan H. Strub, Luigi Ferraioli, Cédric Schmelzbach +2
The Laser Interferometer Space Antenna (LISA) is a planned space-based observatory to measure gravitational waves in the millihertz frequency band. This frequency band is expected…
Detection and Mitigation of Glitches in LISA Data: A Machine Learning Approach
Niklas Houba, Luigi Ferraioli, Domenico Giardini
The proposed Laser Interferometer Space Antenna (LISA) mission is tasked with the detection and characterization of gravitational waves from various sources in the universe. This e…