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Kaggle G2Net – Competition Entry

Detecting Continuous Gravitational Waves

"Imagine the mass of our Sun but condensed into a ball the size of a city and spinning over 1,000 times a second."

Kaggle competition entry for the final project of 3253 - Machine Learning at U. Toronto

"The goal of this competition is to find continuous gravitational-wave signals. You will develop a model sensitive enough to detect weak yet long-lasting signals emitted by rapidly-spinning neutron stars within noisy data.

Your work will help scientists detect something new: a second class of gravitational waves! The first gravitational wave discoveries earned a Nobel Prize. Further study of these waves may enable scientists to learn about the structure of the most extreme stars in our universe."

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G2Net – Detecting Continuous Gravitational Waves https://www.kaggle.com/competitions/g2net-detecting-continuous-gravitational-waves/

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