A team of scientists from the Tata Institute of Fundamental Research in Mumbai and the Indian Institute of Space Science and Technology in Thiruvananthapuram, consisting of Prof. Sudip Bhattacharyya and Mr. Shivam Kumaran, along with Prof. Samir Mandal and Prof. Deepak Mishra, have utilized machine
Application of machine learning techniques to large astronomy data sets can discover thousands of cosmic objects of various classes. Credit: Shivam Kumaran
Astronomy is undergoing a transformation as vast amounts of astronomical data from millions of celestial objects become readily accessible. This is due to large-scale surveys and meticulous observations utilizing top-notch astronomical observatories, combined with a policy of open data availability. In this background, the TIFR-IIST team applied machine learning techniques to hundreds of thousands of cosmic objects observed in X-rays with USA’s Chandra space observatory. This demonstrated how a new and topical technological progress could help and revolutionize basic and fundamental scientific research. The team applied these techniques to about 277000 X-ray objects, the nature of most of which were unknown.
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