Mapping the Stars: A Deep Dive into the Kepler Input Catalog

The study refined atmospheric parameters for nearly all 195,478 stars in the Kepler Input Catalog using photometric data and machine-learning techniques. A new 3D dust map improved accuracy in measuring properties like metallicity, temperature, and gravity. The results, validated against independent datasets, enhance our understanding of stellar populations and support exoplanet and astrophysical research, offering a more precise catalog for future studies.