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Tilt-to-length coupling in LISA Pathfinder: long-term stability
M Armano, H Audley, J Baird +75
The tilt-to-length coupling during the LISA Pathfinder mission has been numerically and analytically modeled for particular timespans. In this work, we investigate the long-term st…
Precision measurements of the magnetic parameters of LISA Pathfinder test masses
M Armano, H Audley, J Baird +76
A precise characterization of the magnetic properties of LISA Pathfinder free falling test-masses is of special interest for future gravitational wave observatory in space. Magneti…
Magnetic-induced force noise in LISA Pathfinder free-falling test masses
M Armano, H Audley, J Baird +76
LISA Pathfinder was a mission designed to test key technologies required for gravitational wave detection in space. Magnetically driven forces play a key role in the instrument sen…
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…
In-depth analysis of LISA Pathfinder performance results: Time evolution, noise projection, physical models, and implications for LISA
M. Armano, H. Audley, J. Baird +77
We present an in-depth analysis of the LISA Pathfinder differential acceleration performance over the entire course of its science operations, spanning approximately 500 days. We f…
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…