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.
bd-j/sedpy: sedpy v0.2.0,
2 Pith papers cite this work. Polarity classification is still indexing.
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SemiConLens is a visual analytics platform that uses correlation-aware imputation and linked views with uncertainty glyphs to support reliable discovery of 2D semiconductors from limited datasets.
citing papers explorer
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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.
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SemiConLens: Visual Analytics for 2D Semiconductor Discovery
SemiConLens is a visual analytics platform that uses correlation-aware imputation and linked views with uncertainty glyphs to support reliable discovery of 2D semiconductors from limited datasets.