activity
20192025
most citedBayesian parameter-estimation of Galactic binaries in LISA data with Gaussian Process Regression

23 citations · 31 across the 6 of their papers we have counts for

collaborators

6 papers

gr-qc2025

Searching for extreme mass ratio inspirals in LISA: from identification to parameter estimation

Stefan H. Strub, Lorenzo Speri, Domenico Giardini

The Laser Interferometer Space Antenna (LISA) is a planned space-based observatory designed to detect gravitational waves (GWs) within the millihertz frequency range. LISA is antic…

astro-ph.IM2024

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…

gr-qc2024

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…

astro-ph.IM2023★ 1 cited

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…

astro-ph.IM2022★ 23 cited

Bayesian parameter-estimation of Galactic binaries in LISA data with Gaussian Process Regression

Stefan H. Strub, Luigi Ferraioli, Cedric Schmelzbach +2

The Laser Interferometer Space Antenna (LISA), which is currently under construction, is designed to measure gravitational wave signals in the milli-Hertz frequency band. It is exp…

physics.app-ph2019★ 7 cited

Modeling Deformed Transmission Lines for Continuous Strain Sensing Applications

Stefan H. Strub, Lucas Böttcher

Transmission lines are essential components in various signal and power distribution systems. In addition to their main use as connecting elements, transmission lines can also be e…