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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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| Format: | Thesis |
| Language: | English |
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Cosmology and Gravity Group
2018
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