1.4k citations · 2.3k across the 34 of their papers we have counts for
34 papers
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…
Tilt-to-length coupling in LISA Pathfinder: a data analysis
M Armano, H Audley, J Baird +76
We present a study of the tilt-to-length coupling noise during the LISA Pathfinder mission and how it depended on the system's alignment. Tilt-to-length coupling noise is the unwan…
Accelerating global parameter estimation of gravitational waves from Galactic binaries using a genetic algorithm and GPUs
Stefan H. Strub, Luigi Ferraioli, Cédric Schmelzbach +2
The Laser Interferometer Space Antenna (LISA) is a planned space-based gravitational wave telescope with the goal of measuring gravitational waves in the milli-Hertz frequency band…
Charging of free-falling test masses in orbit due to cosmic rays: results from LISA Pathfinder
LISA Pathfinder Collaboration, M. Armano, H. Audley +72
A comprehensive summary of the measurements made to characterize test mass charging due to the space environment during the LISA Pathfinder mission is presented. Measurements of th…