In mock CSST-UDF data, an LSTM classifier plus JLA-like cuts yields a >99.5% pure Type Ia sample and recovers Ω_M and w to 14% and 18% in a flat wCDM model.
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Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey
In mock CSST-UDF data, an LSTM classifier plus JLA-like cuts yields a >99.5% pure Type Ia sample and recovers Ω_M and w to 14% and 18% in a flat wCDM model.