Automatic detection of the HI gas line in massive data from pre-Square Kilometre Array surveys
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Object of study: Galaxies and neutral hydrogen gas (HI 21 cm emission line);
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Method: Deep Learning (detection and characterization);
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Data: Big Data from the Square Kilometre Array (SKA) precursors/pathfinders (MeerKAT, ASKAP, LOFAR, …);
Goal: Produce high-confidence Deep Learning detection and confirm candidate detections. Eventually, statistically and physically analyze the detections.