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Paper: Data Discovery with the NRAO VLA Sky Survey, Alpha-Cen, and University of Belize
Volume: 538, ADASS XXXII
Page: 210
Authors: Paolo Estrada; Brian R. Kent
DOI: 10.26624/PVCW7294
Abstract: This is a summary of the NRAO National and International Non-traditional Exchange (NINE) project carried out in conjunction with the University of Belize and Alpha-Cen astronomy consortium. We aim to use data from the NRAO VLA Sky Survey (VLASS) that are made publicly available by the observatory to the astronomical community. We obtain VLASS images with Python code via the Google Colab platform and NRAO archive. We outline plans to implement these exercises in our physics courses in the department, and with students in the Physics and Mathematics Club. Our workshops with students in Belize and through the Astrophysics for Central America and the Caribbean (Alpha-Cen) consortium will help disseminate astronomy, data science methodologies, and coding practices.
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