In the latest of our #UndergradResearch series, check out high school student Rohan Nagavardhan’s research on using computational techniques to find planets beyond our solar system!
We report on Day 2 of the virtual summer AAS meeting.
When studying the Universe becomes too complicated for human brains, we turn to artificial intelligence! Check out how today’s authors used a neural network to predict motions on the Universe’s largest scales
Astronomers use machine learning to reconstruct past mergers that the Milky Way experienced.
Today’s undergraduate post talks about how to use machine learning to find transients in galactic spectra!
Disentangling Milky Way Evolution with Disentangled Representation Learning, a New Tool for Chemical Tagging
Chemical tagging without chemical abundances? Today’s authors devise a neural network that ‘disentangles’ chemical abundances from stellar spectra to avoid the uncertainties that often beset chemical taggers.