Euclid will observe billions of galaxies, resulting in huge amounts of data. Data scientists at FHNW have implemented key components for processing these data. These components enable the distributed processing of the data in computing centres spread around the globe. They also manage the extremely complex workflow of the Euclid data processing pipeline. In addition, the team develops deep learning models that aim at automatically identifying different types of galaxies from the huge amount of image data observed by Euclid.
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