A new, efficient approach to modelling hydrodynamics in cosmological simulations
We share some exciting highlights from a recent conference
A machine learning approach to characterise the multi-component thermal emission from the intracluster medium.
Should neural networks give up trying to model cosmology and stick to sorting cat photos? Find out in todays post!
ASAS-SN searches for supernova and finds variable stars too! They found so many (~90,000) that they decided to classify them all. How do you go about classifying 90,000 things? Machine learning, of course!
Can we teach a machine to reproduce the physics of turbulence? An exploration of using deep learning to simulate magnetohydrodynamic turbulence!