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| Paper: |
Classifying Stars in Globular Clusters Through a Mobile Application and Machine Learning |
| Volume: |
539, ASP 2024: Astronomy Across the Spectrum |
| Page: |
290 |
| Authors: |
Arceo-DÃaz, S.; Bricio-Barrios, E. E.; Trujillo-rujillo, X. A. R.; Zuber, K. |
| Abstract: |
We present a free, interactive mobile app that helps in astronomy education using machine learning. It lets students explore color–magnitude diagrams (CMDs) of globular clusters from GAIA data, highlighting stellar populations and evolutionary features such as the RGB-bump, the RGB-tip, and the horizontal branch without requiring programming skills. |
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