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.
Machine learning is a powerful tool… but with great power, comes great responsibility. Learn more about it at Dr. Brian Nord’s talk at #AAS237!
Too many cool science projects, not enough telescope time. Can machine learning help solve this problem?
A new, efficient approach to modelling hydrodynamics in cosmological simulations
We share some exciting highlights from a recent conference