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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Ring galaxies in voids are predominantly outer, more massive, redder, and lower in star formation than typical void galaxies, pointing to secular internal dynamics as the main driver over large-scale environment.
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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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Environmental Dependence of Galaxy properties: A study of 341 Ring Galaxies in Cosmic Voids
Ring galaxies in voids are predominantly outer, more massive, redder, and lower in star formation than typical void galaxies, pointing to secular internal dynamics as the main driver over large-scale environment.