4 citations · 7 across the 9 of their papers we have counts for
3 papers · 1 filter
The Early Career Workshop of GR-Amaldi 2025
S Al-Shammari, C P L Berry, C E A Chapman-Bird +18
Gravitational physics and astronomy have developed rapidly over the last decade, driven by new observations and theoretical breakthroughs. As new as the science and technology of t…
Joint inference for gravitational wave signals and glitches using a data-informed glitch model
Ann-Kristin Malz, John Veitch
Gravitational wave data are often contaminated by non-Gaussian noise transients, glitches, which can bias the inference of astrophysical signal parameters. Traditional approaches e…
Enhancing gravitational-wave detection: a machine learning pipeline combination approach with robust uncertainty quantification
Gregory Ashton, Ann-Kristin Malz, Nicolo Colombo
Gravitational-wave data from advanced-era interferometric detectors consists of background Gaussian noise, frequent transient artefacts, and rare astrophysical signals. Multiple se…