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Variational Autoencoder with Normalizing flow for X-ray spectral fitting

A probabilistic model is introduced, utilizing a variational autoencoder with a normalizing flow, trained to adopt a physical latent space, which results in a significant improvement in spectral reconstructions over a previous deterministic model while performing three orders of magnitude faster than traditional methods.
arXiv (opens in a new tab)
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