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Deep learning for supernovae detection

In future astronomical sky surveys it will be humanly impossible to classify the tens of thousands of candidate transients detected per night. This thesis explores the potential of using state-of-the-art machine learning algorithms to handle this burden more accurately and quickly than trained astro...

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Bibliographic Details
Main Author: Amar, Gilad
Other Authors: Bassett, Bruce
Format: Thesis
Language:English
Published: Cosmology and Gravity Group 2018
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