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Teaching Astronomy – New Opportunities, Challenges, Tools, and Innovations

Session: 14C: 10-Minute Orals (4)

14C-1 - Classifying Stars in Globular Clusters Through a Mobile Application and Machine Learning

Saturday, August 24, 2024

2:15 PM – 3:05 PM US PDT

Lead Presenter(s)

SA

Santiago Arceo Diaz

Universidad de Colima
Villa de Álvarez, Colima, Mexico

Co-Presenter(s)

EB

Elena Elsa Bricio Barrios, Dra.

Tecnologico Nacional de México/Instituto Tecnológico de Colima
XT

Xóchitl Angélica Rosio Trujillo Trujillo, Dra.

Universidad de Colima
KZ

Kai Zuber, Dr.

Techniche Universität Dresden

Abstract: We present the development of a free-access mobile application that utilizes various machine-learning techniques for star classification in color-magnitude diagrams. This application lets students download processed diagrams, highlighting different stellar classes within globular clusters. It also identifies key regions essential for studying stellar evolution, such as the turn-off point, the red giant branch bump, and the tip of the red giant branch.