13 citations · 14 across the 8 of their papers we have counts for
4 papers · 1 filter
Robust Bayesian inference with gapped LISA data using all-in-one TDI-
Niklas Houba, Jean-Baptiste Bayle, Michele Vallisneri
The Laser Interferometer Space Antenna (LISA), an ESA L-class mission, is designed to detect gravitational waves in the millihertz frequency band, with operations expected to begin…
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…
Compensation of front-end and modulation delays in phase and ranging measurements for time-delay interferometry
Philipp Euringer, Niklas Houba, Gerald Hechenblaikner +3
In the context of the Laser Interferometer Space Antenna (LISA), the laser subsystems exhibit frequency fluctuations that introduce significant levels of noise into the measurement…
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…