Supernova cosmology for the 21st century : how I learnt to stop worrying about likelihoods and train a neural network /
This thesis breaks new ground in supernova type Ia cosmology, developing novel and powerful machine-learning methods scalable to the next generation of astronomical surveys. It demonstrates the feasibility of a fully simulation-based approach to inference, which overcomes the limitations of current...
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| Format: | eBook |
| Language: | English |
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Cham :
Springer,
[2026]
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| Series: | Physics and Astronomy Series.
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| Call Number: |
QB843.S95 K37 2026 |
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| Notes: |
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| Call Number | Status | Get It |
| QB843.S95 K37 2026 | Available | |