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Detecting solar system objects with convolutional neural networks

Maggie Lieu (European Space Agency

Monday May 6th, 14.00

Lundmarksalen, astronomihuset

With upcoming big astronomical surveys such as LSST and Euclid imaging enormous volumes of the sky at high speeds, the detection of asteroids, comets and other moving bodies with traditional methods will not be feasible. Machine learning methods such as convolutional neural networks can help us to sift through the large amounts of data and quickly identify objects of interest for follow up observation and tracking. In this talk I will show how CNNs can be trained to effectively identify asteroids and other astronomical objects in an unbiased manner even when the training data sample is small.

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This page was last modified on 17 April 2019.