Spiral, barred, elliptical and irregular: Computers automatically classify galaxy shapes
Wednesday, June 2, 2010 - 16:22
in Mathematics & Economics
(PhysOrg.com) -- Scientists at University College London and the University of Cambridge have developed machine-learning codes modelled on the human brain that can be used to classify galaxies accurately and efficiently. Remarkably, the new method is so reliable that it agrees with human classifications more than 90% of the time. The research will appear in a paper in the journal Monthly Notices of the Royal Astronomical Society.