Machine Learning

DeepClean: non-linear noise regression in gravitational-wave detectors with machine learning

In the next few years, an international network of gravitational-wave detectors will create a data boom in gravitational-wave data and provide scientists with many opportunities for physics discoveries. On average, every day we will expect to see one …

Dark Matter Density Profiles in Dwarf Galaxies

Uncovering the dark matter density profiles in dwarf galaxies with graph neural networks

Merger History of the Milky Way

Understanding the merger history of the Milky Way using accreted stars

DeepClean

Using convolutional neural network to subtract non-linear noise in GW detectors

Deep Cleaning for Gravitational-wave Data

Since the sensitivity upgrade in 2015, the Laser Interferometer Gravitational-wave Observatory (LIGO) has detected a number of black-hole and neutron star mergers. However, since strong sources of gravitational waves (GWs) produce a typical …