Collaborators: Dr. Divya Oberoi, NCRA-TIFR
The ability to generate a large number of images from solar radio emission data has opened up new possibilities in radio solar physics research to tackle some very interesting solar physics problems. The Murchison Widefield Array (MWA) provides solar radio images with good time and frequency resolution, and sufficient angular resolution. Dr. Oberoi is working with the MWA observatory in Australia to convert captured radio solar data into images, and study effects of the Sun in the cosmos. However, it is a challenge to derive valuable information from the thousands of images that are generated, using traditional visual examination techniques. ThoughtWorks in collaboration with Dr Oberoi, apply unsupervised machine learning techniques to identify patterns and anomalies in the data and detect emission structures present in the datasets. This data is used by the MWA to analyse solar radio emissions at low frequencies.
