Fine-tuned Vision Transformers applied to 2D spectral plots from real SDSS and LAMOST data achieve higher classification accuracy than SVMs and Random Forests while matching AstroCLIP performance on redshift estimation across diverse objects.
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Planet-hosting wide binaries display diverse differential abundance trends with condensation temperature that are not universal across systems.
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Applying Vision Transformers on Spectral Analysis of Astronomical Objects
Fine-tuned Vision Transformers applied to 2D spectral plots from real SDSS and LAMOST data achieve higher classification accuracy than SVMs and Random Forests while matching AstroCLIP performance on redshift estimation across diverse objects.
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Chemical signatures of planetary systems in their host stars. Near-infrared spectroscopy of four planet-hosting wide binaries
Planet-hosting wide binaries display diverse differential abundance trends with condensation temperature that are not universal across systems.