Phot-Gal, an ML model with KNN imputation trained on simulated galaxy photometry, recovers galaxy properties more accurately than prospector on held-out simulation test data.
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Reimagining SED Fitting with Cosmological Galaxy Simulations and Machine Learning
Phot-Gal, an ML model with KNN imputation trained on simulated galaxy photometry, recovers galaxy properties more accurately than prospector on held-out simulation test data.