Applying Contrastive Learning to Stellar Spectra
We present StarCLIP, a contrastive learning framework aligning APOGEE and JWST/NIRSpec spectra into a unified latent space, enabling accurate stellar property recovery and demonstrating the feasibility of foundation models for future spectroscopic surveys.
May 1, 2025
