Hybrid PCA-neural network classifiers trained on full CMB maps, interpreted via SHAP to identify spatial signatures distinguishing LambdaCDM from primordial feature models.
Investigating the constraints on primordial features with future cosmic microwave background and galaxy surveys.Journal of Cosmology and Astroparticle Physics, 2022(09):024
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Explaining Neural Networks on the Sky: Machine Learning Interpretability for Cosmic Microwave Background Maps
Hybrid PCA-neural network classifiers trained on full CMB maps, interpreted via SHAP to identify spatial signatures distinguishing LambdaCDM from primordial feature models.