The GALAH survey: characterization of emission-line stars with spectral modelling using autoencoders
The GALAH survey: characterization of emission-line stars with spectral modelling using autoencoders
We present a neural network autoencoder structure that is able to extract essential latent spectral features from observed spectra and then reconstruct a spectrum from those features. Because of the training with a set of unpeculiar spectra, the network is able to reproduce a spectrum of high signal-to-noise ratio that …