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ELSA: Euclid Legacy Science Advanced analysis tools@elsa-euclid.bsky.social |
Another application of supervised machine learning is to use human classifications as labels, already successfully demonstrated with clumpy galaxies. Also will deploy unsupervised learning (eg VAE) for photometry and specta, using clustering in latent space to classify and find rare objects
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ELSA: Euclid Legacy Science Advanced analysis tools
@elsa-euclid.bsky.social
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Next up is Andrea Enia, with a science talk on recovering of galaxy physical properties with template fitting and ML (Euclid paper in prep). They used MAMBO to simulate four Euclid surveys (Wide, Deep, calib16 and calib25), fitted with templateS, deep NN, CatBoost single+chained regressors, & NNPZ
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