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Intercomparison of Brown Dwarf Model Grids and Atmospheric Retrieval Using Machine Learning
Understanding differences between sub-stellar spectral data and models has proven to be a major challenge, especially for self-consistent model grids that are necessary for a thorough investigation of brown dwarf atmospheres.
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