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Paper: An Exposition on Globular Clusters: Theory and Observation
Volume: 533, ASP 2021: Sharing Best Practices – AstronomyTeaching and Public Engagement
Page: 70
Authors: Onubi, P. O.; Sani, I. A.; Idogbe, E. A.; Njoku-Achu, N. O.; Sunday, C. N.; Okany, C. F.; Okere, A. R.; Nnaji, J. C.; Parker, S.; Gozman, K.; McCulloch, A.; Nowinski, M.; Pagul, A.
Abstract: In this paper, we discuss the collaboration and focus between the Geneva Lake Astrophysics and STEAM (GLAS) group and the West Africa Office of Astronomy for Development (WAROAD). In particular, this collaboration aims to provide upcoming scientists with data analysis tools and resources in astrophysics to observe, reduce, and analyze globular cluster data from the Stone Edge Observatory (SEO). Within our framework, each student is equipped to stack images using Jupyter notebooks, plot histograms, and statistics (mean, std), observe and download images using SEO, as well as leverage different filters for mosaicing, flux calibration, and data reduction (bias, darks, flats). We show some of our initial results. In particular, we present the mosaics of our chosen globular cluster (M3), our data reduction process, and statistics of our data, as well as our work on what we have done on asteroid photometry. We also include preliminary color-magnitude diagram (CMD) of our globular cluster.
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