
UR: Using Machine Learning to Identify Transients in the DESI Survey
Today’s undergraduate post talks about how to use machine learning to find transients in galactic spectra!
Today’s undergraduate post talks about how to use machine learning to find transients in galactic spectra!
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