Using Deep Learning to Localize Gravitational Waves

Last updated on Jun 20, 2022
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Denoising Autoencoder Gravitational Waves Binary Black Holes Deep Learning
Dr. Chayan Chatterjee
Dr. Chayan Chatterjee
AI for New Messengers Postdoctoral Fellow

Dr. Chayan Chatterjee is the A.I. for New Messengers Postdoctoral Fellow at Vanderbilt University. His research focuses on application of machine learning to study gravitational waves - tiny ripples in space-time created by colliding black holes and neutron stars.

Publications

Using deep learning to localize gravitational wave sources
In this work, we use a deep learning based classification model to localize simulated binary black hole gravitational wave signals to a single sector in the sky.
Dr. Chayan Chatterjee, Linqing Wen, Kevin Vinsen, Manoj Kovalam, Amitava Datta
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Using deep learning to localize gravitational wave sources