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A collection of methods to characterize the atmospheric parameters of white dwarfs using spectroscopic data. The flagship class is the generative fitting pipeline (GFP), which fits ab-initio theoretical models to observed spectra in a Bayesian framework, using high-speed neural networks to interpolate the models. Documentation: https://wdtools.readthedocs.io/en/latest/
astronomy, spectroscopy, machine learning
astronomy, spectroscopy, machine learning
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