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The SkyMapper Transient team launched a citizen science project last week. In this talk, I will present the motivation behind this project, explain the process, goals and early results. For some context, in our survey, the transient detection procedure includes pre-processing SkyMapper images, extracting sources, classifying Real and Bogus candidates based on a machine learning algorithm and then visual confirmation by a member of our team. Now, we incorporate in this last part citizen scientists which, in less than 24 hours performed 30,000 classifications! |
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