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Anomaly_Detection_with_cGANs
Anomaly_Detection_with_cGANs PublicA proof of concept for mining JWST NIRcam imaging data for anomalous galaxy populations with a conditional Generative Adversarial Network.
Jupyter Notebook 1
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Phase-Transition-Ising-Model
Phase-Transition-Ising-Model PublicSimulating a phase transition in the 2D Ising model using a Monte Carlo method and utilising a machine learning architecture to predict the order parameter.
Python
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cGAN-JWST
cGAN-JWST PublicPredicting filters F277W, F356W and F444W from filters F115W, F150W and F200W of the JWST NIRcam imaging data from all four NIRcam pointings.
Python
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cGANs_in_astronomy
cGANs_in_astronomy PublicProducing cutouts of galaxy images from JWST NIRcam imaging data to feed to a cGAN to predict features and structure of galaxies.
Jupyter Notebook
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