Fast glitch modelling

Modelling gravitational-wave glitches with autoencoders.


Probabilistic modelling of glitches in gravitational-wave data.

Probabilistic noise estimation

Measuring the amount of non-Gaussian noise in the data.

Sky localisation

The effect of noise in localising gravitational-wave events.

Non-linear noise subtraction

Broadband noise modelling with dense neural networks.

Gamma-ray bursts

Searching for gravitational-waves associated with Gamma-ray bursts.


Producing publicly available galaxy catalogue.


Evaluating the performance of BayesWave.

Revisiting the evidence for precession in GW200129 with machine learning noise mitigation

GW200129 is claimed to be the first-ever observation of the spin-disk orbital precession detected with gravitational waves (GWs) from an individual binary system. However, this claim warrants a cautious evaluation because the GW event coincided with …

Quasi-physical model for removing short glitches from LIGO and Virgo data

Gravitational-wave observatories become more sensitive with each observing run, increasing the number of detected gravitational-wave signals. A limiting factor in identifying these signals is the presence of transient non-Gaussian noise, which …