4 papers
Measuring the rate of glitches in interferometric gravitational wave detectors with a hierarchical Bayesian model
Gregory Ashton, Colm Talbot, Andrew Lundgren +2
Ground-based gravitational wave detectors are now routinely surveying the dark Universe, finding hundreds of collisions between compact objects such as black holes and neutron star…
TemplateGeNN: Neural Networks used to accelerate Gravitational Wave Template Bank Generation
Susanna Green, Andrew Lundgren
We introduce TemplateGeNN, a fast stochastic template bank generation algorithm which uses Graphical Processing Units (GPUs) and a LearningMatch model (Siamese neural network). Tem…
LearningMatch: Siamese Neural Network Learns the Match Manifold
Susanna Green, Andrew Lundgren, Xan Morice-Atkinson
The match, which is defined as the the similarity between two waveform templates, is a fundamental calculation in computationally expensive gravitational-wave data-analysis pipelin…
GWtuna: Trawling through the data to find Gravitational Waves with Optuna and Jax
Susanna Green, Andrew Lundgren
GWtuna is a fast gravitational-wave search prototype built on Optuna (optimisation software library) and JAX (accelerator-orientated array computation library) [1, 2]. Using Optuna…